# NUTRIENT CRITERIA FO R FLORIDA LAKES:

A COMPARISON OF APPR OACHES

Michael J. Paul

Jeroen Gerritsen

Tetra Tech, Inc.

10045 Red Run Boulevard, Suite 110

Owings Mills, MD 21117

Prepared for:

Florida Department of Environmental Protection

26 00 Blair Stone Road

Tallahassee, Florida 32399

December 2002

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# CONTENTS

INTRODUCTION

................................ ................................ ................................ ................. 4

NUTRIENT CRITERIA AND BIOLOGICAL ASSESSMENT

................................ .... 4

TECHNICAL APPROACH

................................ ................................ ................................ . 5

RESULTS AND DISCUSSION

................................ ................................ ........................... 7

Approach 1: Reference lake distributions

................................ ................................ ......... 7

Approach 2: Paleolimnological analysis

................................ ................................ ......... 10

Approach 3: Morphoedaphic indices

................................ ................................ .............. 11

Approach 4: Loess regression of tLCI vs. nutrient concentration

................................ . 13

Approach 5: Multiple linear regression models of chlorophyll and Secchi depth

....... 19

Approach 6: Contour plotting of nutrients an d chlorophyll

................................ .......... 23

CONCLUSIONS

................................ ................................ ................................ .................. 24

Phosphorus recommendations

................................ ................................ .......................... 28

Nitrogen recommendations

................................ ................................ ............................... 30

Chlorophyll recommendations

................................ ................................ .......................... 31

Secchi depth recomm endations

................................ ................................ ........................ 31

Closing and suggestions

................................ ................................ ................................ .... 31

LITERATURE CITED

................................ ................................ ................................ ....... 33

APPENDIX 1: CHEMICAL, BIOLOGICAL, AND TROPHIC INDEX VALUES

FOR EACH STUDY LAKE

................................ ................................ ............................... 36

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# List of Tables

Table Page

1 Total phosphorus (TP) and total nitrogen (TN) concentrations (μg/L),

chlorophyll (Chl, μg/L), Secchi depth (m), and trophic lake condition

index (tLCI) values from reference lakes in each of the Florida lake

types.

................................ ................................ ................................ ............................ 8

2 Predicted historical total phosphorus concentration (μg/L) for lakes of

Florida based on paleolimnological data in the five different lake

classes (Whitmore and Brenner, 2002).

................................ ................................ ... 10

3 Total phosphorus (TP) and total nitrogen (TN) concentrations (μg/L)

corresponding to the intercept of the 25 th 

## percentile of tLCI values with

Loess regression (see Figures 3

- 7).

................................ ................................ .......... 19

4 Multiple linear regression models to predict lake chlorophyll (μg/L)

and Secchi depth (m) from lake chemistry, and predicted mean

chlorophyll and mean Secchi depth for reference lakes.

................................ ........ 20

5 Predicted chlorophyll concentrations (μg/L) for reference lak es within

each lake class derived from three

- dimensional surface plots of total

nitrogen (μg/L), total phosphorus (μg/L), and chlorophyll (see Figure

11).

................................ ................................ ................................ ............................. 25

6 A summary of phosphorus/nitrogen concentrations ( μ g/L) suggested as

potential criteria for five different lake classes in Florida.

................................ ..... 26

7 A summary of chlorophyll concentrations ( μ g/L)/Secchi depths (m)

suggested as potential criteria for five different lake classes in Florida.

............... 27

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# List of Figures

Figure Page

1 Box and whisker plots of nutrient concentrations, chlorophyll, Secchi

depth, and trophic lake condition index for reference lakes in each lake

class.

................................ ................................ ................................ ............................. 9

2 Regression plots of the morphoedaphic index based on alkalinity and

conductivity against total phosphorus concentrations for all reference

lakes.

................................ ................................ ................................ .......................... 12

3 Loess regression plots of total phosphorus and nitrogen against the

trophic lake condition index (tLCI) in acid clear l akes in Region 65.

................... 1 4

4 Loess regression plots of total phosphorus and nitrogen against the

trophic lake condition index (tLCI) in acid clear lakes in Region 75.

................... 1 5

5 Losess regression plots of total phosphorus and nitrogen against the

trophic lake condition index (tLCI) in acid colored lakes.

................................ ..... 1 6

6 Loess regression plots of total phosphorus and nitrogen against the

trophic lake condition index (tLCI) in alkaline cle ar lakes.

................................ ... 1 7

7 Loess regression plots of total phosphorus and nitrogen against the

trophic lake condition index (tLCI) in alkaline colored lakes.

............................... 1 8

8 Chlorophyll concentrations predicted for ea ch lake using multiple

regression models built from the entire lake dataset plotted against

observed chlorophyll.

................................ ................................ ................................ 21

9 Secchi depth predicted for each lake using multiple regression models

built from the entire lake dataset plotted against observed Secch i depth.

............. 22

10 An example of a contour plot of phosphorus, nitrogen, and chlorophyll

built from all the data on acid clear lakes in Region 65.

................................ ........ 24

11 Trophic state index (TSI) contrast plots for clear and colored lakes.

.................... 29

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## INTRODUCTION

The eutrop hication of surface waters by excess nutrients is a growing problem

worldwide. It remains the largest single cause of water quality degradation in U.S. lakes

and estuaries, in spite of extensive and substantial improvements in water quality due to

the Cle an Water Act (U.S. EPA, 1996; Vitousek et al., 1997; Carpenter et al., 1998).

While nutrients are essential to life and ecosystem functions, excessive nutrients can

cause nuisance algal and plant growth, oxygen depletion, loss of water clarity, loss of

de sirable species, loss of biodiversity, flavor effects on drinking water, increased

probability of human and animal pathogens, and other water quality impairments.

In recognition of the continuing water quality degradation ascribed to nutrient

enrichment, the U.S. Environmental Protection Agency (U.S. EPA) is developing

regional nutrient criteria guidelines. The EPA recognizes that a single set of national

nutrient criteria is not realistic, but that nutrient criteria should be developed on a regional

or w atershed basis (U.S. EPA, 1998). The EPA has identified five components for

nutrient criteria development in lakes: reference sites, predictive models, historical data,

paleolimnology, and regional expert panels (Gibson et al., 2000). The EPA recommends

a minimum of two components to develop criteria (an expert panel and one other).

The principal objective of this project was to begin the technical process of developing

effective nutrient criteria for Florida lakes. The specific objectives were to test several

different methods proposed in EPA nutrient criteria guidance documents (Gibson et al.,

2000), to make preliminary nutrient criteria recommendations for natural lakes in Florida,

and to develop some practical linkages between biological criteria an d nutrient criteria.

NUTRIENT CRITERIA AND BIOLOGICAL ASSESSMENT

The Florida Department of Environmental Protection (Florida DEP) has developed a lake

bioassessment protocol to add to the monitoring program’s assessment “toolbox” of

physical, chemical, a nd biological techniques. The protocol followed the

recommendations of the EPA’s guidance document for nutrient criteria in lakes and

reservoirs (Gibson et al., 2000). Florida DEP sampled more than 200 lakes between

1993 and 1997, including more than 100 relatively unimpacted reference lakes, and the

remainder subject to human impacts (agricultural runoff, urban runoff, and sediment

contamination) ranging from moderate to severe. A geographic regionalization based on

topography, water chemistry, lake ori gin, lake hydrology, and soils identified forty

- seven

lake regions in Florida (Griffith et al., 1997).

A variety of exploratory data analyses suggested that the strongest organizing forces on

the biota of the relatively undisturbed lakes were water color and pH (Gerritsen et al.,

2000). On the basis of these results, the sampled lake regions were aggregated into five

lake biological classes, such that the lakes within each class have similar biological

assemblages. The lake classes were divided based on water color (greater than or less

than 20 platinum cobalt units [PCUs]), pH (greater than or less than pH 6.5), and

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## ecoregion for acid clear lakes only (Omernik, 1987; Region 65 in northwest Florida and

Region 75 in peninsular Florida).

A previous compa

rison of reference and impacted lakes showed that nutrient loading was

the dominant, but not exclusive, stressor in Florida lakes (Gerritsen et al., 2000; Gerritsen

et al., 2002a). Traditional trophic state response measures (Secchi transparency,

chloroph yll) were responsive indicators of nutrient enrichment in colored and alkaline

lakes. The development of nutrient criteria for lakes is aided by a characterization of the

biological potential of lakes in the absence of anthropogenic stress, given that uns tressed

lakes also vary widely in trophic state. The biological potential is characterized by

biocriteria, and hence the process and the data can also be applied to developing nutrient

criteria.

In essence, nutrient criteria can be developed from the pe rspective of protecting or

managing towards “minimally impacted” background concentrations, or for managing

towards those concentrations most protective of natural biological integrity. Both

perspectives can lead to different nutrient criteria endpoints i f lakes can sustain a certain

increase in nutrient concentration without a change in biological condition.

TECHNICAL APPROACH

We used a number of different approaches to define nutrient criteria for Florida lakes that

encompass both perspectives

—identi fying least

- impacted background concentrations

and identifying nutrient concentrations protective of biological integrity. The first three

approaches discussed here refer to methods used to identify least

- impacted background

nutrient concentrations, while the last three refer to approaches designed to identify

concentrations protective of biological condition.

The identification and sampling of biological reference lakes allowed an extension of the

concept and the data to nutrient criteria development (G ibson et al., 2000). As a result,

our first approach was to look at statistical distributions of direct nutrient enrichment

indicators (total phosphorus [TP] and total nitrogen [TN] concentration), as well as

indirect nutrient indicators (chlorophyll conc entration and Secchi depth values). We

analyzed these values in reference lakes in each of the five lake classes described above

as a preliminary approach for defining reference nutrient criteria (Appendix 1). We

assumed that these reference lakes repres ented the minimally impacted condition within

each lake class and, therefore, could be used to define the expected nutrient conditions.

In the second approach, we used paleolimnological estimates of historical lake nutrient

concentrations. Paleolimnolog ical analyses were carried out on several lakes throughout

the state in a separate project (Whitmore and Brenner, 2002; Whitmore and Riedinger,

2002). Diatoms have different taxa

- specific nutrient requirements, with certain taxa

typical of high

- nutrient e nvironments and others typical of low

- nutrient environments;

therefore, the composition of diatoms changes along nutrient gradients. In addition,

diatoms have species

- specific siliceous frustules that resist decomposition and are

preserved in the sediment s of lakes through time. Cores of the lake bottom contain a

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## history of the lake in sedimentary layers. The different layers are dated and the diatoms

from each stratum are examined. The different taxa present are used to infer past climatic

and chemical

environments. The idea underlying this approach is that nutrient

concentrations from before the industrial revolution might constitute appropriate

reference conditions. These reference conditions then represent minimally

- stressed

conditions as recommend ed by EPA (Gibson et al ., 2000). Criteria in turn are based on

reference conditions, but criteria are not required to be equivalent to reference conditions

(Gibson et al ., 2000). Two different models (TROPH1 and WACALIB) were used to

estimate historical TP concentrations (Appendix 2, Whitmore and Brenner, 2002). We

used the data from Whitmore and Brenner report to estimate average historical TP

concentrations for each lake type.

In the third approach, we attempted to use the morphoedaphic index (MEI, th e ratio of

alkalinity or conductivity to lake depth) to estimate background phosphorus

concentrations (Ryder et al., 1974; Vighi and Chiaudani, 1985; Gibson et al., 2000).

Dissolved solids and lake depth have been shown to be significant and successful

pr edictors of fish production in lakes, especially combined in the MEI (Ryder et al.,

1974). Since secondary production is often limited by primary production and, therefore,

ultimately by nutrient supply, the MEI was adapted to predict phosphorus concentra tions

for lakes based strictly on alkalinity or conductivity and depth (Vighi and Chiaudani,

1985). Theoretically, the relationships should predict the background loading of

phosphorus to lakes in the absence of cultural nutrient enrichment and could prov ide a

measure of the concentration of phosphorus to which lakes could be lowered to prevent

excess plant growth (Vighi and Chiaudani, 1985). We calculated this metric for

reference lakes in the Florida DEP database using conductivity or alkalinity. Since we

did not have data on average lake depth, we used area as a surrogate.

In the fourth approach, we derived relationships between the trophic lake condition index

(tLCI) (Gerritsen et al., 2000) and nutrient concentrations for each lake class. The tLCI

combines chlorophyll and Secchi depth data into a simple measure of biological

condition, and was plotted against nutrient concentrations for lakes in each region. For

this analysis, we looked at all the lakes in the Florida DEP database as well as the

d atabase used for the lake classification work in Florida (Appendix 1, Griffith et al.,

1997). As a result, our analysis includes both reference and nonreference lakes for which

we had nutrient, chlorophyll, and Secchi data as well as pH and color data. L oess

regression (based on a nearest neighbor smoothing function) was used to describe the

relationship between nutrient concentration and tLCI (SPSS Inc., 2001). We then

identified where along that relationship the 25 th 

## percentile of reference lake tLCI values

fell in terms of nutrient concentration. In this approach, instead of using a statistical

distribution of nutrient concentrations from reference sites per se, we used the biological

condition of reference lakes to infer nutrient concentrations cons istent with that

condition.

In the fifth approach, we attempted to model chlorophyll and Secchi depth in each lake

class using multiple linear regression and a number of chemical constituents. We used

TP, TN, alkalinity, pH, lake area, and color data fro m reference and nonreference lakes to

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## predict chlorophyll and Secchi depth in each lake class. We then used reference lake

concentrations of the predictor variables to predict reference criteria for chlorophyll and

Secchi depth.

In the last approach, we used contour plots of TP, TN, and chlorophyll from all sites in

each lake class to identify nutrient limitation and predict chlorophyll concentrations in

reference lakes. The stoichiometric requirement of algae is approximately a molar ratio

of nitrogen t o phosphorus of 16:1. By plotting this line on the contour plots along with

the point of average reference lake nutrient concentrations, we were able to estimate the

average nutrient limitation for reference lakes in each lake class. In addition, we were

able to estimate an expected range of chlorophyll concentrations for those reference

lakes.

Chemical data were transformed as necessary to meet assumptions of normal distribution

and constant variance for statistical analyses.

RESULTS AND DISCUSSION

Approach 1: Reference lake distributions

In the first analysis we looked at statistical distributions of a priori designated reference

lakes in each lake class. Reference criteria were defined by Florida DEP biologists and

were used to designate a set of reference lakes for each lake class in the lake survey

database (Gerritsen et al., 2000; Gerritsen et al., 2002b). We looked at mean, standard

deviation, 25 th 

## , and 75 th 

## percentile values for lake TP, TN, chlorophyll, Secchi depth, and

tLCI values in t hese lake classes (Table 1, Figure 1). The 75 th 

## percentile of reference

waterbody concentration is recommended in setting criteria because this level is most

protective of the diversity of natural trophic lake types within a region (Gibson et al.,

2000).

Based on the 75 th



## percentile, the recommended TP criteria would be 10 μ g/L for acid and

alkaline clear lakes and 42 and 73 μ g/L for acid colored and alkaline colored lakes,

respectively (Table 1). It should be mentioned that 10 μ g/L appeared to be the detection

limit for much of the lake water analysis for this database. T herefore, had lower

detection limits been available, the 75 th 

## percentile may have been substantially lower than

the 10 μ g/L reached as a result of this analysis. For TN, the 75 th 

## percentile

concentrations were 330 μ g/L in acid clear lakes in Region 65, 47 0 μ g/L in acid clear

Region 75 lakes, 910 μ g/L in acid colored lakes, 750 μ g/L in alkaline clear lakes, and

1,110 μ g/L in alkaline colored lakes. For chlorophyll concentrations, the 75 th 

## percentiles

were 8 μ g/L in acid clear Region 65 lakes, 6 μ g/L in aci d clear Region 75 lakes, 12 μ g/L

in acid colored lakes, 8 μ g/L in alkaline clear lakes, and 13 μ g/L in alkaline colored

lakes. Finally, for Secchi depth, the 25 th 

## percentile was used, since Secchi depth is

assumed to increase with water quality. These va lues were 3.3 m in acid clear Region 65

lakes, 1.5 m in acid clear Region 75 lakes, 0.7 m in acid colored lakes, 1.8 m in alkaline

clear lakes, and 0.9 m in alkaline colored lakes.

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## Table 1. Total phosphorus (TP) and total nitrogen (TN) concentrations ( μg/L),

chlorophyll (Chl, μg/L), Secchi depth (m), and trophic lake condition index (tLCI) values

from reference lakes in each of the Florida lake types. Values shown are mean (±1

standard deviation) and the 25 th 

## and 75 th 

## percentiles, respectively, in pare ntheses.

Measure

Lake Class TP TN Chl Secchi tLCI

Acid Clear

Region 65 11±4

(10,10) 231±137

(110,330) 5.1±6.8

(1.0,8.0) 4.2±1.4

(3.3,5.0) 89±11

(83,100)

Region 75 12±4

(10,10) 336±221

(110,470) 3.0±2.8

(1.0,5.6) 3.2±2.1

(1.5,4.1) 87±11

(76,99)

Acid colored 44±67

(10,42) 834±489

(530,910) 9.0±10.9

(2.1,11.6) 1.2±0.7

(0.7,1.5) 70±12

(62,79)

Alkaline Clear 12±7

(10,10) 670±232

(540,750) 4.4±3.5

(1.0,7.5) 2.7±1.1

(1.8,3.5) 84±9

(74,92)

Alkaline

colored 42±38

(10,73) 893±390

(650,1110) 9.9±10.6

( 2.3,12.5) 1.4±0.7

(0.9,1.8) 71±14

(60,83)

These concentrations and depths were based on the statistical distribution among

reference lakes in each region. Since they are percentile values, they will be affected by

sample size, and differences in sample size will affect how representative these values

were of the true distribution within each lake class. Assuming that adequate and

representative samples were taken in each lake class, these values would not be expected

to change substantially.

In gene ral, values were lower for clear lakes than for colored lakes and lower for acid

lakes than alkaline lakes. This may be due to a number of factors. Greater light

limitation in colored lakes may reduce primary production and, therefore, nutrient uptake,

r esulting in greater ambient nutrient concentrations. The organic acids responsible for

lake color may also bring a significant amount of chemically bound nutrients into colored

lakes. These nutrients can subsequently be released through a number of poten tial

chemical reactions and become available (Bushaw et al., 1996).

### Florida Nutrient Criteria

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### 1 10 100 1000Total Nitrogen (mg/L)



### 1 10 100 1000 10000Chlorophyll (mg/L)



### 0.1 1 10 100Secchi Depth (m)



### 0.01 0.1 1 10 100Trophic Lake Condition Index



### 0 20 40 60 80 100 120 Acid Clear 65 Acid Clear 75 Acid Color

Alkaline Clear Alkaline Color Acid Clear 65 Acid Clear 75 Acid Color

Alkaline Clear Alkaline Color

Acid Clear 65 Acid Clear 75 Acid Color

Alkaline Clear Alkaline Color Acid Clear 65 Acid Clear 75 Acid Color

Alkaline Clear Alkaline Color

Acid Clear 65 Acid Clear 75 Acid Color

Alkaline Clear Alkaline Color



### Figure 1. Box and whisker plots of nutrient concentrations, chlorophyll, Secchi depth, and trophic lake

condition index for reference lakes in each lake class.

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## Approach 2: Paleolimnological analysis

In a separate project (Whitmore and Brenner, 2002; Appendix 2), benthic cores were

taken from several Florida lakes by paleolimnological ana lyses, to estimate historical

phosphorus concentration. Many of the same lakes were sampled as part of the Florida

DEP lake sampling and Florida lake classification studies (Griffith et al., 1997). Two

different models TROPH1 and WACAL1B for recreating p ast chemistry had been used

(explained in Whitmore and Brenner, 2002). Using the model prediction from Whitmore

and Brennan, we calculated historical median and mean lake TP concentrations for each

of the lake classes (Table 2). The models gave historica l phosphorus concentrations

around 4 μ g/L for acid clear Region 65 lakes with the TROPH1 model, but there were

insufficient data to calculate historical concentrations with the second model.

Table 2. Predicted historical total phosphorus concentration ( μ g/L) for lakes of Florida

based on p aleolimnological data in the five different lake classes (Whitmore and Brenner,

2002). The first value is median lake total phosphorus concentration, and the value in

parentheses is the average.

Predicted Total Phosphorus Concentration

Lake Class TROPH 1 N WACALIB N

Acid Clear

Region 65 6 (5) 7

--- 0

Region 75 67 (67) 2 45 (45) 2

Acid colored 17 (20) 7 41 (41) 2

Alkaline Clear 22 (25) 10 33 (31) 8

Alkaline colored 32 (44) 34 47 (44) 33

Acid clear lakes in Region 75 had an estimated phosphorus concentration of 67 μ g/L

using the TROPH1 model and 45 μ g/L using the WACALIB model (Table 2). These

values were significantly higher than current reference lake concentrations, but note that

the sample size (N=2) was insufficient to have any confidence in these estimates. Acid

clear lakes are difficult to sample for paleolimnological analysis because of low

productivity and poorer preservation (Whitmore, personal communication). More acid

clear lake samples would improve confidence in estimates for thi s lake type and perhaps

explain the very high estimates for P using this approach. Acid colored lakes had a mean

estimated historical phosphorus concentration of 17 μ g/L using TROPH1, but there were

insufficient data to estimate a mean concentration using WACALIB. There were more

data available for alkaline lakes, and the mean estimated historical phosphorus

concentration for alkaline clear lakes was 31 μ g/L using th e TROPH1 model and 33 μ g/L

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## using the WACALIB model. For alkaline colored lakes, the mean estimated historical

concentrations were 32 μ g/L using the TROPH1 model and 47 μ g/L using the

WACALIB model.

Interestingly, the concentration estimates for alkalin e colored lakes were much lower than

the 75 th 

## percentile value estimated from modern reference lake chemistry (Table 1). In

addition, there was sufficient replication to be relatively more confident in the estimate

derived. These results suggest that the modern reference lake dataset may include lakes

affected, to a degree, by human disturbance, albeit less than culturally eutrophic lakes.

Even so, the inclusion of lakes with chemistry altered by human activity in the reference

database may have contribu ted to the higher 75 th 

## percentile value observed using the first

approach.

The paleolimnological data, while a smaller sample than the reference lake database,

certainly suggest that historical nutrient concentrations in alkaline colored lakes were

lower than the current reference 75 th 

## percentiles indicate. This analysis also suggests that

more paleolimnological analyses might improve the determination of background

nutrient criteria, if undisturbed, pre

- settlement conditions are targeted. More analyses

might also help explain the discrepancies between the values derived with this approach

and the reference lake approach, given that sample sizes for most lake types were too

small. In addition, we are unaware of the criteria used to select lakes for the

p aleolimnological analyses, and they may have been different for those used in the

general lake survey study. Any future paleolimnological sampling would have to be

consistent with the design criteria used to identify representative lakes as part of the

ge neral Florida lake nutrient criteria program.

Approach 3: Morphoedaphic indexes

The third approach involved using the MEI to infer phosphorus concentration from

established relationships between the ratio of lake depth to alkalinity or conductivity and

l ake phosphorus concentrations (Vighi and Chiaudani, 1985). These models have been

used to predict phosphorus in the absence of human nutrient loading. We plotted total

lake phosphorus against the MEI using alkalinity or conductivity for reference lakes i n the Florida DEP database (Figure 2). There was no significant relationship between the

variables, suggesting little or no ability to predict background phosphorus concentration

using this method. This may have been due, in part, to the fact that we wer e forced to use

lake area in place of lake depth due to a lack of available data. Had there been an

established relationship between lake area and depth across the state, we might have

estimated lake depth from area. However, there are a variety of lake types in Florida that

vary considerably in their width

- to

- depth ratios, making any simple estimate of depth

from area impossible.

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# MEI

alk 

# (Log) -4 -3 -2 -1 0Total Phosphorus (Log(mg/L))



# 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4 2.6



# MEI

cond 

# (Log) -4 -3 -2 -1 0 1 2Total Phosphorus (Log(mg/L))



# 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4 2.6 2.8 LogTP = 1.98 + 0.14(LogMEI alk ), r 2 

## =0.11, P>0.05

LogTP = 1.66 + 0.05(LogMEI cond ), r 2 =0.02, p>0.05

Figure 2. Regression plots of the morphoedaphic index based on alkalinity and conductivity against

total phosphorus concentrations for a ll reference lakes.

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## This same fact likely makes the use of area a poor surrogate and contributed to the lack of

a relationship between the MEI and lake phosphorus. Further reasons may include the

heterogeneous sources of alkalinity and conductivity within Florida. Geology, soil types,

organic matter, and many other factors influence the alkalinity and conductivity of waters

independently of pho sphorus supply. Also, the original study included no sub

- tropical or

tropical lakes in the regression model, and while the approach makes sense theoretically,

it may not be applicable to all lake types.

The MEI has also been unsuccessful in the predictio n of fish production, its original

intent, in Florida lakes (J. Chick, personal communication) and in northern lakes

(Downing et al ., 1990). Depth data would help calculate the MEI more accurately, but

the trends shown, lack of information on sub

- tropical application of the approach, and

unsuccessful application in other studies leads us to conclude that the MEI is not an

appropriate approach for developing nutrient criteria in Florida lakes.

Approach 4: Loess regression of tLCI vs. nutrient concentratio n

In our fourth approach, we regressed TP and TN against tLCI (a combination of log

Secchi depth and log chlorophyll a ; Gerritsen et al . 2000) for all the lake data available

in each lake class (reference and non

- reference lakes) using Loess regression (F igures 3

- 7). This plot allowed an estimate of nutrient concentrations consistent with the 25 th



## percentile value for the reference lake condition index. In this way, we derived nutrient

concentrations based on the biological condition of reference lakes. Table 3 lists the

nutrient concentrations derived from this method. TP concentrations derived using this

method were 21, 23 and 17 μ g/L for acid clear Region 65, acid clear Region 75 lakes,

and alkaline clear lakes, respectively (Table 3). Comparable TN values for these same

lakes were 473, 776, and 692 μ g/L, respectively. Colored lakes gave TP values of 43 and

40 μ g/L for acid colo red and alkaline colored lakes. Respective TN values were 1,202

and 1,148 μ g/L.

The values observed were higher than those derived directly from the statistical

distribution of the reference lake chemistry data, except for TP concentrations in alkaline

c olored lakes, which were lower (40 versus 73 μ g/L). This is likely due to variable biotic

responses to nutrients. Community responses vary for a number of reasons (light,

grazing by zooplankton, etc.) and may not necessarily be exactly consistent with

ch emistry.

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# Total Phosphorus (Log( m g/L)) 0.0 0.4 0.8 1.2 1.6 2.0 2.4Trophic Lake Condition Index



# 50 60 70 80 90 100 110 Corresponds to Log(TP) = 1.2 = 16 μ g/L 25th percentile LCI of reference lakes



# Total Nitrogen (Log( m g/L)) 1.6 2.0 2.4 2.8 3.2Trophic Lake Condition Index



# 50 60 70 80 90 100 110 Corresponds to Log(TN) = 2.66 = 457 μ g/L 

# Acid Clear Lakes - Region 65

Figure 3. Loess regression plots of total phosphorus and nitrogen against the trophic lake condition

index (tLCI) in acid clear lakes in Region 65. The lines indicate the nutrient concentrations consistent

with the 25 th 

### percentile of reference lake tLCI.

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## Total Phosphorus (Log( m g/L)) 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8Trophic Lake Condition Index



## 50 60 70 80 90 100 110

Corresponds to Log(TP) = 1.43 = 27 μ g/L 25th percentile LCI of reference lakes



## Total Nitrogen (Log( m g/L)) 1.8 2.0 2.2 2.4 2.6 2.8 3.0 3.2Trophic Lake Condition Index



## 50 60 70 80 90 100 110 Corresponds to Log(TN) = 2.86 = 724 μ g/L 

# Acid Clear Lakes - Region 75

Figure 4. Loess regression plots of total phosphorus and nitrogen against the trophic lake condition

index (tLCI) in acid clear lakes in Region 75. The lines indicate the nutrient concentrations consistent

with the 25 th 

### percenti le of reference lake tLCI.

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## Total Phosphorus (Log( m g/L)) 0.0 0.5 1.0 1.5 2.0 2.5 3.0Trophic Lake Condition Index



## 20 30 40 50 60 70 80 90 100

Corresponds to Log(TP) = 1.58 = 38 μ g/L 25th percentile LCI of reference lakes



## Total Nitrogen (Log( m g/L)) 2.0 2.5 3.0 3.5Trophic Lake Condition Index



## 20 30 40 50 60 70 80 90 100 Corresponds to Log(TN) = 3.08 = 1202 μ g/L 

# Acid Color Lakes

Figure 5. Loess regression plots of total phosphorus and nitrogen against the trophic lake condition

index (tLCI) in acid colored lakes. The lines indicate the nutrient concentrations consistent with the

25 th 

### percentile of r eference lake tLCI.

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## Total Phosphorus (Log( m g/L)) 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5Trophic Lake Condition Index



## 0 20 40 60 80 100 120 140

Corresponds to Log(TP) = 1.23 = 17 μ g/L 25th percentile LCI of reference lakes



## Total Nitrogen (Log( m g/L)) 1.5 2.0 2.5 3.0 3.5 4.0Trophic Lake Condition Index



## 20 40 60 80 100 120 Corresponds to Log(TN) = 2.84 = 692 μ g/L 

# Alkaline Clear Lakes

Figure 6. Loess regression plots of total phosphorus and nitrogen against the trophic lake condition

index (tLCI) in alkaline clear lakes. The lines indicate the nutrient concentrations consistent with the

25 th 

### percentile of refere nce lake tLCI.

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## Total Phosphorus (Log( m g/L)) 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0Trophic Lake Condition Index



## 0 20 40 60 80 100 Corresponds to Log(TP) = 1.68 = 48 μ g/L 25th percentile LCI of reference lakes



## Total Nitrogen (Log( m g/L)) 2.0 2.2 2.4 2.6 2.8 3.0 3.2 3.4 3.6 3.8 4.0Trophic Lake Condition Index



## 0 20 40 60 80 100 120 Corresponds to Log(TN) = 2.96 = 912 μ g/L 

# Alkaline Color Lakes

Figure 7. Loess regression plots of total phosphorus and nitrogen against the trophic lake condition

index (tLCI) in alkaline colored lakes. The lines indicate the nutrient concentrations consistent with the

25 th 

### percentile of reference lake tLCI.

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## Table 3. Total phosphorus (TP) and total nitrogen (TN) concentrations (μg/L)

corresponding to the intercept of the 25 th 

## percentile of tLCI values with Loess regression

(see Figures 3

- 7).

Nutrient Concentration

Lake Class TP TN

Acid Clear

Region 65 21 473

Region 75 23 776

Acid colored 43 1,202

Alkaline Clear 17 692

Alkaline

colored 40 1,148

Approach 5: Multiple linear regression models of chlorophyll and Secchi depth

The last two approaches we used dealt with predict ing chlorophyll concentrations and

Secchi depth for reference lakes, since criteria development has also been suggested for

these indirect measures of nutrient concentration. We first built multiple linear

regression models to predict chlorophyll and Secc hi depth in each lake class using all the

available lake data from the Florida DEP and lake classification databases (Table 4).

Variables were listed in the order in which they explain model variance. Both nitrogen

and phosphorus appear in all the models for explaining chlorophyll and are then joined by

one or more variables of pH, alkalinity, color, or conductivity.

The amount of variance explained by those models ranged from 34 percent (for acid

colored lakes) to 76 percent (for acid clear Region 65 la kes). We combined all the model

predictions and plotted them against observed values (Figure 8). These plots indicate that

we built precise models that were able to predict 60% of the variance in lake chlorophyll

concentrations. For explaining Secchi de pth, TN and TP were again the most common

predictors, along with lake conductivity. Alkalinity, pH, and color are also included in

some of the models. The amount of variance explained ranged from 0.38 (in acid clear

Region 65 lakes) to 0.69 (for alkaline clear lakes). We also plotted predicted versus

observed Secchi depth, and these combined models predicted almost 75% of the total

variance in observed Secchi depth (Figure 9).

### Florida Nutrient Criteria

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## Table 4. Multiple linear regression models to predict lake chlorophyll (μg/L) and Secchi depth (m) from lake chemistry, and

predicted mean chlorophyll and mean Secchi depth for reference lakes.

Lake Class Regression Equation Predicted Criteria R 2



## Chlorophyll 

## Chlorophyll [Log(μg/L)]

predicted

(quartile range)

Acid Clear

R egion 65

- 3.03 + 0.73(LogTN) + 0.24(pH)

- 0.24(LogAlk) + 0.36(LogTP) 0.12 (0

- 0.90) 0.76

Region 75

- 2.18 + + 0.24(pH) + 0.37(LogTP)

- 0.28(LogAlk) + 0.35(LogTN) 0.22 (0

- 0.75) 0.43

Acid colored

- 1.13 + 0.56(LogTP)

- 0.18(LogAlk)

- 0.46 (LogColor) + 0.70(L ogTN) 0.72 (0.32

- 1.06) 0.34

Alkaline Clear

- 2.84 + 0.94(LogTP) + 0.37(LogTN) + 0.14(pH) + 0.41(LogColor) 0.59 (0

- 0.88) 0.70

Alkaline colored

- 2.71 + 1.24(LogTN)

- 0.47(LogColor) + 0.37(LogTP) + 0.12(pH)

- 0.24(LogCond) 0.96 (0.36

- 1.10) 0.67

Secchi Dept h Secchi [Log(m)]

predicted

(quartile range)

Acid Clear

Region 65 1.56

- 0.44(LogTN) 0.57 (0.52

- 0.70) 0.38

Region 75 1.73

- 0.43(LogCond)

- 0.33(LogTP) + 0.19(LogAlk)

- 0.23(LogColor) 0.38 (0.18

- 0.61) 0.51

Acid colored 1.16

- 0.45(LogColor)

- 0. 21(LogTP) + 0.04(LogAlk) 0.04 (

- 0.15

- 0.18) 0.68

Alkaline Clear 2.31

- 0.52(LogTP)

- 0.34(LogTN)

- 0.14(LogCond)

- 0.14(LogColor) 0.37 (0.26

- 0.54) 0.69

Alkaline colored 2.88

- 0.51(LogTN)

- 0.14(LogCond)

- 0.13(LogTP)

- 0.09(pH) + 0.10(LogAlk) 0.00 (

- 0.0 5

- 0.26) 0.67

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# Observed Chlorophyll (Log( m g/L)) -1 0 1 2 3Predicted Chlorophyll (Log(mg/L))



# -1 0 1 2 3

Acid Clear Lakes - Region 65 (0.76)

Acid Clear Lakes - Region 75 (0.43)

Acid Color Lakes (0.34)

Alkaline Clear Lakes (0.70)

Alkaline Color Lakes (0.67) 

# 1:1

Overall r 2 =0.60

Figure 8. Chlorophyll concentrations predicted for each lake using multiple regression models built

from the entire lake dataset plotted against observed chlorophyll. (Equation in Table 4). Numbers in

parentheses are r 2 

### values for each regr ession. refers to all classes combined.

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# Observed Secchi (Log(m)) -1.0 -0.5 0.0 0.5 1.0 1.5Predicted Secchi (Log(m))



# -1.0 -0.5 0.0 0.5 1.0 1.5

Acid Clear Lakes - Region 65 (0.38)

Acid Clear Lakes - Region 75 (0.51)

Acid Color Lakes (0.68)

Alkaline Clear Lakes (0.69)

Alkaline Color Lakes (0.67) 

# 1:1

Overall r 2 =0.74

Figure 9. Secchi depth predicted for each lake using multiple regression models built from the entire

lake dataset plotted against observed Secchi depth. (Equation in Table 4). Numbers in parentheses are

r 2 

### value s for each regression.

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## After the models were built, we used mean reference lake values for the different

chemical predictors in each lake class to predict the chlorophyll and Secchi depths

associated with those concentrations. The predicted values all fall within the ranges

observed for reference lakes in each lake class (Table 4). These models should be

validated with future reference lake data, but the modeling approach holds promise as a

potential tool for predicting chlorophyll reference targets and ce rtainly supports the

reference targets derived directly from the statistical distribution of chlorophyll and

Secchi depth in reference lakes (Approach 1).

Approach 6: Contour plotting of nutrients and chlorophyll

The last analysis we performed was to cre ate contour plots of TP (x

- axis), TN (y

- axis),

and chlorophyll (contours). These plots (e.g., Figure 10) can be used to infer nutrient

limitation and to predict visually the reference chlorophyll concentration based on the

mean or 75 th



## percentile of refer

ence lake TP and TN concentrations. The 16:1 molar

TN:TP line is shown on the plot, and sites located above the line would be considered N

limited, while those below would be considered P

- limited. We also plotted the 75 th



## percentile of TN and TP concentr ations for reference lakes in the acid clear Region 65

lake class. The observed median chlorophyll concentration in acid clear Region 65

reference lakes was 2.6 μ g/L (from Table 5), which is similar to the chlorophyll

concentration predicted from the contour plot (2.4

– 3.2). In general, the predicted ranges

of reference lake chlorophyll concentrations bracketed the observed median or mean

chlorophyll concentrati ons observed in the different lake classes.

Not surprisingly, all the reference lakes in the different lake classes had molar N:P ratios

far above 16, indicating that phosphorus limitation dominated the lake chemistry in

Florida lakes (Table 5). Only a cid colored lakes contained a reference site with a ratio

less than 16, but the mean for this region was 85. Nutrient ratios are informative, but

they assume that lakes are nutrient supply limited (meaning that the rate of uptake

exceeds the supply rate). If lake biota are not nutrient supply limited and/or are limited

by some other factor (e.g. light), then the nutrient ratio is less informative. In general,

though, the data suggest that nitrogen reduction will result in little noticeable change in

chlo rophyll, as lakes are, in general, P

- limited. One direct consequence of this is that

nitrogen criteria may be more difficult to derive based on a relationship to chlorophyll or

Secchi depth.

It is difficult to know if nitrogen concentrations in lakes a re elevated above historically

protective concentrations, since the molar ratio data suggest that any change in nitrogen is

not likely to have resulted in changes in lake plant growth without concomitant changes

in phosphorus. However, nitrogen is commonl y observed to limit plant growth in marine

environments, especially near

- shore marine environments (Howarth 1988, NRC 1994),

and so setting lake nitrogen criteria too high may have consequences for downstream

ecosystems. These consequences need to be cons idered when establishing lake nitrogen

criteria so that outflows will be protective of marine receiving waters.

### Florida Nutrient Criteria

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## CONCLUSIONS

We considered approaches design ed to identify least

- impacted background lake nutrient

concentrations and approaches designed to identify nutrient concentrations consistent

with management goals for biological condition. As mentioned above, the two general

approaches lead to different nutrient criteria endpoints (Tables 6 and 7). Several methods

were considered while deriving p otential criteria. It is unlikely that any panacea exists

for establishing targets, and, in fact, a combination of methods in concert with the best

professional judgment of a technical advisory committee is the recommended strategy

(Gibson et al., 2000). We consider each of the target variables below, list the approaches

we weighted most heavily, and suggest potential criteria. Figure 10.

An example of a contour plot of phosphorus, nitrogen, and chlorophyll built from all the data

on acid clear lakes in Region 65. The diagonal line indicates the 16:1 ratio of molar N:P considered

necessary for algal gro wth. Sites above the line are considered P

- limited, and sites below the line N

limited. The hatched lines indicate the mean phosphorus and nitrogen concentrations for reference lakes

in this class. The predicted chlorophyll from these concentrations is between 2.4 and 3.2 μ g/L (shaded

band), consistent with the median observed reference lake chlorophyll (2.6 μ g/L).

### Florida Nutrient Criteria

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## Table 5. Predicted chlorophyll concentrations (μg/L) for reference lakes within each lake

class derived from three

- dimensional surface plots of total nitrogen (μg/L), total

phosphorus (μg/L), and chlorophyll (see Figure 11).

Lake Class 75 th 

## Percentile

Reference Nutrient

Concentration Chlorophyll Concentrations Reference Molar

N:P

TP TN Predicted

range Observed

mean (median) mean (range)

Acid Clear

Region 65 10 330 2.4

- 3.2 5.1 (2.6) 49 (23

- 108)

Region 75 10 470 2.1

- 2.8 3.0 (1.0) 65 (22

- 210)

Acid

co lored 42 910 8.7

- 12.8 9.0 (5.0) 85 (6

- 288)

Alkaline

Clear 10 750 4.2

- 7.5 4.4 (3.0) 138 (43

- 252)

Alkaline

colored 73 1110 9.2

- 18.0 9.9 (6.9) 92 (16

- 392)

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## Table 6. A summary of phosphorus/nitrogen concentrations ( μ g/L) suggested as

potential criteria for five different lake classes in Florida. MEI, multiple regression and

contour plots did not predict nutrient concentrations (not shown).

Methodological Approach

Lake Class 75 th



## Percentile of

Reference

Distributi on Loess Regression

tLCI vs. Nutrients Paleolimnology

(TROPH1 model)

Acid Clear

Region 65 10/330 21/473 4*/NA

Region 75 10/470 23/776 67*/NA

Acid colored 42/910 43/1202 17*/NA

Alkaline Clear 10/750 17/692 25/NA

Alkaline colored 73/1110 40/1148 32/ NA

* N<6, NA = Not applicable

### Florida Nutrient Criteria

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## Table 7. A summary of chlorophyll concentrations ( μ g/L)/Secchi depths (m) suggested

as potential criteria for five different lake classes in Florida. Loess regression,

paleolimnology and MEI did not predict chlorophyll.

Methodological Approach

Lake

Class Percentile of

Reference

Distribution MEI Multip le

Linear

Regression

Models Contour Plot

Interpolation

Acid

Clear

Region 65 8/3.3 NA/NA 1/3.7 2

- .3/NA

Region 75 6/1.5 NA/NA 2/2.4 2

- 3/NA

Acid

colored 12/0.7 NA/NA 5/1.1 9

- 13/NA

Alkaline

Clear 8/1.8 NA/NA 4/2.3 4

- 8/NA

Alkaline

colored 13/0.9 NA/NA 9/1.0 9

- 18/NA

NA = Not applicable

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## Phosphorus recommendations

We looked at several methods for deriving TP criteria, all of which resulted in slightly

different values. Each method has benefits and drawbacks. We weighted the current

referenc e lake distributions most heavily, considering that these are direct measures of

the evaluated best attainable condition of lakes within each lake class. We next weighted

the paleolimnological data, since it provides some insight into the historical nutri ent

concentrations of the different lake environments and, theoretically, should provide

insight into the lake potential. Lastly, we used the Loess regression results, using the

biological condition of reference lakes to infer nutrient levels. However, t here is greater

uncertainty, since many factors affect the biological response of algae beyond nutrients

(e.g., light, grazing), and there is the potential to infer higher concentrations than are

necessarily protective.

With this weighting scheme in mind, we arrived at the following provisional TP criteria

for the different lake classes:

Acid Clear Region 65 Lakes 10 μ g/L

Acid Clear Region 75 Lakes 10 μ g/L

Acid colored Lakes 40 μ g/L

Alkaline Clear Lakes 10 μ g/L

Alkaline colored Lakes 40 μ g/L

We believe that 10 μ g/L was the apparent detection limit for TP in some of the laboratory

analyses used, since it appears so frequently in the distributions (see Figures 3

- 7). Lower

detection analysis is available for TP. In any case, we recommend the adoption of the

most sensitive detection methods for TP, especially in clear lake chemical analysis, as it

is likely that lo wer concentrations would be recommended from reference lake

distributions if the actual TP concentrations were substantially lower than the apparent

detection limit.

Reference lake 75 th



## percentile distributions and Loess results were similar for acid

colo red lakes; however, the paleolimnological analyses suggest lower historical

concentrations (Table 6). The sample size was small for the paleolimnological data;

therefore, a higher concentration was recommended. For alkaline colored lakes, we

recommend a lower concentration than suggested by the 75 th 

## percentile reference

distribution (73 μ g/L, Table 1). First, the sample size was quite large for this lake class

(fifty

- one lakes) and the mean of reference lakes was 42 μ g/L (Table 1). Second, the

Loess regression data indicated a lower TP concentration associated with the 25 th



## percentile o f reference lake tLCI for this lake class (40 μ g); thus the protection of

biological condition would suggest a lower concentration. Third, the paleolimnological

data (which had the largest sample size [N=34] for this lake class) indicated an even

lower co ncentration (32 μ g/L, Table 3). Lastly, we looked at contrast plots of the trophic

state index (TSI, Carlson, 1977, 1991) derived from TP, chlorophyll, and Secchi depth to

investigate whether nutrient concentrations in the reference lakes might be higher due to

other sources of limitation for algae (Figure 11). These plots compare the difference in

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## TSI calculated from chlorophyll and Secchi depth or TP, which ought to be equivalent, if

algae are strictly responding to nutrients. Departures from zero alon g the y

- axis suggest

P

- limitation or P

- storage (below zero) or non

- P

- limitation (above zero)(Carlson, 1991).

-40 -20 0 20 40 60 80TSI(TP) - TSI(Chl)



## -40 -20 0 20 40 60 80

Acid Clear Lakes - Region 65

Acid Clear Lakes - Region 75

Alkaline Clear Lakes



# TSI(SD) - TSI(Chl) -40 -20 0 20 40 60 80TSI(TP) - TSI(Chl)



## -40 -20 0 20 40 60 80

Acid Color Lakes

Alkaline Color Lakes



### Figure 11.

Trophic state index (TSI contrast plots for clear and colored lakes. The trophic state

index using total phosphorus (TP), chlorophyll (Chl), and Se cchi depth (SD) were contrasted to

compare differences in predicted TSI.

### Florida Nutrient Criteria

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## Similarly, departures from zero along the x

- axis indicate small

- particle turbidity (e.g.,

clay, above zero) or large

- particle turbidity (below z ero) (Carlson, 1991). Most of the

clear lakes are centered around zero relative to the colored lakes (Figure 11). The large

departures above zero in colored lakes along the x

- axis indicate chlorophyll

- inferred

trophic state values far below those predict ed for Secchi depth, suggesting that turbidity

or color may be limiting algal production. If this is true, then nutrient concentrations

(including TP) would be higher in lakes where nutrients are limiting. Increases in light

availability with reductions in turbidity or color (either episodically or seasonally) could

have a very significant impact on algal growth if TP is kept at elevated levels. It is not

uncommon for lakes in Florida to be limited by factors other than nutrients (Agusti et al.,

1990), a lbeit usually at higher nutrient concentrations. These limitations can obscure the

relation between nutrients and algal production and could potentially lead to higher

standards for those lakes. For these reasons, we recommended a more conservative

(lowe r) TP concentration for alkaline colored lakes than that indicated by the reference

distribution alone.

Nitrogen recommendations

We had only two approaches for estimating TN criteria, since the paleolimnological

analyses did not include historical predic tions for nitrogen. Again, we weighted the

reference data distribution data more heavily than the Loess regression results. Using this

approach, we arrived at the following TN criteria for the different lake classes:

Acid Clear Region 65 Lakes 350 μ g/L

Acid Clear Region 75 Lakes 450 μ g/L

Acid colored Lakes 1,000 μ g/L

Alkaline Clear Lakes 700 μ g/L

Alkaline colored Lakes 1,100 μ g/L

Another possibility would be to use the average reference lake N:P molar ratios for each

lake class (Table 5) and estimate the TN criteria concentration based on the TP

concentrations suggested above. Using this approach, the TN concentrations would be

221; 294; 1,535; 623; and 1,662 μ g/L for acid clear Region 65, acid clear Region 75, acid

colored, alkaline clear, a nd alkaline colored lakes respectively. These concentrations are

lower for clear lakes and higher for the colored lakes, and this approach could also be

considered.

One caveat for the nitrogen targets is that lakes appear to be and are likely P

- limited.

Therefore, it could theoretically be more difficult to set protective limits for N, since

lakes could have elevated N concentrations without concomitant changes in trophic state.

However, setting inland N criteria too high could result in coastal eutroph ication, since

near

- shore ecosystems are frequently N

- limited (Howarth, 1988). For this reason, coastal

N concentrations and loads of N to near

- shore waters from inland aquatic systems must

be considered in guiding inland N criteria. In that case, the bi ological integrity of

receiving waters would need to be used to guide the criteria for source waters.

### Florida Nutrient Criteria

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## Chlorophyll recommendations

There were fewer data to utilize in determining potential chlorophyll criteria. It is

possible to infer historical chlorophy ll concentrations from paleolimnological data, but

these data were not available in the expanded historical lake analysis for Florida

(Appendix 2, Whitmore and Brenner, 2002). Therefore, we relied on the reference

distribution, multiple linear regression estimates, and contour plots to estimate

chlorophyll criteria. In using the reference distribution (Table 1), we relied on mean

values as well as the 75 th 

## percentile in determining criteria, since the range in values was

quite large and the sample size va riable. The following criteria are suggested:

Acid Clear Region 65 Lakes 4

- 5 μ g/L

Acid Clear Region 75 Lakes 4

- 5 μ g/L

Acid colored Lakes 10

- 12 μ g/L

Alkaline Clear Lakes 4

- 5 μ g/L

Alkaline colored Lakes 10

- 12 μ g/L

Secchi depth recommendations

For S ecchi depth criteria, we relied on reference site distributions and multiple linear

regression models, the only two approaches available. Since Secchi depth is affected by

both trophic and non

- trophic factors (such as turbidity and color), it is a more di fficult

value to determine. We arrived at the following criteria for Secchi depth:

Acid Clear Region 65 Lakes 3.5 m

Acid Clear Region 75 Lakes 2.5 m

Acid colored Lakes 1.0 m

Alkaline Clear Lakes 2.5 m

Alkaline colored Lakes 1.0 m

Closing and sugg estions

Obviously, in developing novel standards or criteria, the greatest effort should be directed

towards gathering data, and this analysis would certainly benefit from such data. In the

future, after additional data are collected, these and other anal yses should be revisited to

test the criteria proposed here. Resolving the temporal and spatial variability in lake

nutrient concentrations within lake classes will likely improve the selection of

appropriate values. This is true for both reference (leas t

- impacted) lake sampling as well

as paleolimnological analysis.

We have presented, throughout the text, two main perspectives that can be used, either

alone or together, to guide nutrient criteria development. The first perspective derives

criteria bas ed on the least

- impacted, background condition of lakes in the same class.

The second derives criteria based on concentrations consistent with the desired biological

condition. Lake ecosystems can sustain a degree of nutrient enrichment without abrupt

ch anges in biological condition (e.g., Carpenter et al ., 1999). In this case, nutrient

### Florida Nutrient Criteria

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## concentrations in these lakes may be higher than those derived strictly on the distribution

of nutrient concentrations.

The selection of a final approach is largely a po licy decision. The benefit of using

biological condition to guide nutrient concentrations is the direct link to the biological

integrity of the waterbody. Drawbacks include the variability associated with the

relationship between nutrient concentrations measured at one scale and biological

responses at another, and the complexity of factors affecting biological condition.

Likely, a combination of approaches such as we used here would be ideal, with additional

considerations made for the status of downstr eam ecosystems, such as large rivers,

marshes, and coastal estuaries, and the nutrient concentrations most protective of them.

A few suggestions emerged from our analysis. First, the continued sampling of reference

lakes is recommended. As stated above, if the use of statistical distributions of reference

lakes is a preferred approach, then more adequate sampling of the population of reference

lakes in each lake class will increase the confidence in statistical estimates derived from

the data. This samp ling should be carried out in addition to the continued sampling of

existing reference lakes through time to estimate the true variability of individual lake

nutrient concentrations.

Second, more paleolimnological studies would improve the criteria estima tes

recommended here. The estimates of TP concentrations inferred from historical diatom

community structure and the numbers of lakes sampled in each class varied widely

(Whitmore and Brenner, 2002); however, this approach offers a more compelling and

sci entifically defensible estimate of pre

- settlement lake condition than the current

reference lake sampling. It is likely that reference lakes represent the “best

- attainable”

condition rather than the “least

- disturbed” condition. Many modern landscapes dis guise

the condition of the land and nature of inputs into aquatic systems that have occurred

through the recent past. Tight internal cycling of nutrients in lakes means that even

historical inputs of nutrients can leave a legacy, a nutrient “footprint,” t hat can exist long

past deforestation events or the abandonment of farms. Even though many modern

landscapes appear forested, the effects of land use activities of the past, such as

agriculture, can be perpetuated in the present (Bennett et al., 1999). P aleoecological

analyses offer the best hope for recreating pre

- settlement nutrient and trophic

environments, and we encourage their continued development and use.

Third, if approaches to derive nutrient criteria based on biological condition are desired

, than biological measures other than just chlorophyll and Secchi depth would help.

Chlorophyll concentrations often respond to nutrients only after significant changes in the

phytoplankton community have occurred, a phenomenon known as ecological

redunda ncy (Schindler, 1990). Whether it is the use of benthic invertebrate communities,

zooplankton communities, or phytoplankton communities, other biological indicators

would likely improve the capacity for detecting nutrient impacts on lake biological

condit ion.

### Florida Nutrient Criteria

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## Lastly, the consideration of downstream ecosystems in setting N criteria cannot be

overstated. Many near

- shore environments are N

- limited and inland systems P

- limited.

Setting N criteria based on inland reference lake concentrations, where systems are not

N

- limited and may contain higher background N concentrations without a trophic

response, may result in excess N export. Taking an approach that considers the

susceptibility of coastal ecosystems to N inputs may better guide concentrations that are

allowed in lakes and rivers.

LITERATURE CITED

Agusti, S., C.M. Duarte, and D.E. Canfield, Jr. 1990. Phytoplankton abundance in

Florida lakes: Evidence for frequent lack of nutrient limitation. Limnology and

Oceanography 35:181

- 188.

Bennett, E.M., T. Reed

- Andersen, J.N. Hauser, J.R. Gabriel, and S.R. Carpenter. 1999.

A phosphorus budget for the Lake Mendota watershed. Ecosystems 2:69

- 75.

Bushaw, K.L., R.G. Zepp, M.A. Tarr, D. Schultz

- Jander, R.A. Borbounniere, R.E.

Hodson, D.A. Bronk, and M.A. Moran. 1996. Photochemical release of

biologically available nitrogen from aquatic dissolved organic matter. Nature

381:404

- 407.

Carlson, R.E. 1977. A trophic state index for lakes. Limnology and Oceanography

22:361

- 369.

Carlson, R.E. 1991. Expan ding the trophic state concept to identify non

- nutrient limited

lakes and reservoirs. Enhancing the States’ Lake Management Programs.

Proceedings of a conference, North American Lake Management Society,

Chicago, Illinois.

Carpenter, S.R., N.F. Caraco, D .L. Correll, R.W. Howarth. A.N. Shipley, and V.H.

Smith. 1998. Nonpoint pollution of surface waters with phosphorus and

nitrogen. Ecological Applications 8:559

- 568.

Carpenter, S.R., D. Ludwig, and W.A. Brock. 1999. Management of eutrophication for

la kes subject to potentially irreversible change. Ecological Applications 9:751

-

771.

Downing, J.A., C. Plante, and S. Lalonde. 1990. Fish production is correlated with

primary productivity, not the morphoedaphic index. Can. J. Fish. Aquat. Sci. 47:

1929

- 10 36.

Gerritsen, J.B., B.K. Jessup, E. Leppo, and J. White. 2000. Development of lake

condition indexes (LCI) for Florida. Prepared for the Florida Department of

Environmental Protection, Tallahassee, Florida.

### Florida Nutrient Criteria

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## Gerritsen, J.B., J.L. Hulbert, R.B. Frydenb org, B.K. Jessup, and R.P. Rutter. 2002a.

Biological indexes for management of Florida lakes. (submitted)

Gerritsen, J.B., R.B. Frydenborg, J.L. Hulbert, B.K. Jessup, and G.E. Griffith. 2002b.

Biological classification of Florida lakes. (submitted)

Gibson, G.R., Jr., R.E. Carlson, J. Simpson, E. Smeltzer, J. Gerritsen, S. Chapra, S.

Heiskary, J. Jones, and R. Kennedy. 2000. Nutrient criteria technical guidance

manual. Lakes and reservoirs. U.S. EPA Office of Water, Washington, DC.

EPA

- 822

- B00

- 001.

Griffith, G., D. Canfield, C. Horsburgh, J. Omernik, and S. Azevedo. Lake regions of

Florida (map). U.S. EPA and Florida Department of Environmental Protection,

Tallahassee, Florida.

Howarth, R.W. 1988. Nutrient limitation of net primary product ion in marine

ecosystems. Annual Review of Ecology and Systematics 19:89

- 110.

NRC (National Research Council Committee on Priorities for Ecosystem Research in the

Coastal Zone, Ocean Sciences Board). 1994. Priorities for coastal ecosystem

science. N ational Research Council, Washington, DC.

Omernik, J.M. 1987. Ecoregion of the conterminous United States. Annals of the

Association of American Geographers77:118

- 125.

Ryder, R.A., S.R. Kerr, K.H. Loftus, and H.A. Regier. 1974. The morphedaphic inde x as a fish yield estimator: review and evaluation. Journal of the Fisheries Research

Board of Canada 31:663

- 688.

SPSS Inc. 2001. SigmaPlot for Windows version 7.0. SPSS Inc., Chicago, Illinois.

U.S. EPA. 1996. National nutrient assessment workshop. Proceedings. Office of

Water. EPA

- 822

- 96

- 004

U.S. EPA. 1998. National nutrient strategy. Office of Water

Vighi, M., and G. Chiaudani. 1985. A simple method to estimate lake phosphorus

concentrations resulting from natural background loadings. Wat er Research

19:987

- 991.

Vitousek, P.M., J.D. Aber, R.W. Howarth, G.E. Likens, P.A. Matson, D.W. Schindler,

W. H. Schlesinger, and D.G. Tilman. 1997. Human alteration of the global

nitrogen cycle: sources and consequences. Ecological Applications 7:737

- 750.

Whitmore, T.J., and M. Brenner. 2002. Paleolimnological characterization of pre

disturbance water quality conditions in EPA

- defined Florida lake regions. Draft

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 35 

## Final Report. Prepared for Florida Department of Environmental Protection,

Tallahass ee, Florida.

Whitmore, T.J. and M. Riedinger. 2002. Sedimented algal pigment profiles in Florida

lakes: evaluating algal community responses to eutrophication. Prepared for

Florida DEP.

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 36 

## APPENDIX 1: CHEMICAL, BIOLOGICAL, AND TROPHIC INDEX VALUES F OR EACH STUDY LAKE

Also shown are estimates of lake total phosphorus concentration based on paleolimnological data using the TROPH1 model and

WACALIB models (Whitmore and Brenner, 2002). ChemType refers to the class of each lake (alk = alkaline lakes, aci d = acid lakes,

col = color lakes, clr or cl = clear lakes). Reference sites are indicated with an R under the Ref field. Chlorophyll, total phosphorus

(TP), and total nitrogen (TN) are in μ g/L, Secchi depth (SD) is in meters, conductivity (Cond) in μ S/cm, and alkalinity (Alk) in mg/L.

(TSI

– trophic state index, MEI = morphoedaphic index, tLCI = trophic lake condition index)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductiv

ity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

LINDSEY DEP acidcol R 26 810 3.2 1.3 50 37 6.20 42.0 56.2 51.1 0.36 76.45

FORTCOOP DEP alkclr NR 10 1210 1.0 2.5 210 10 8.30 30.6 46.8 37.4 1.40 93 .41

REEDY DEP alkclr NR 40 1310 17.4 0.6 250 8 7.75 58.6 67.4 57.3 0.07 53.85

REEDY DEP alkclr NR 41 1410 18.3 0.6 250 8 8.00 59.1 67.4 57.7 53.42

CROOKED DEP alkclr R 35 680 9.4 1.7 101 11 8.10 52.5 52.4 55.4 0.02 70.94

CROOKED DEP alkclr R 10 710 2.8 2.0 95 11 6.90 40.7 50.0 37.4 0.02 82.51

CLEAR DEP alkclr NR 23 920 16.4 1.2 210 20 8.40 58.0 57.4 49.4 1.33 62.37 13 15

IOLA DEP alkclr R 10 580 1.0 3.5 150 9 7.20 30.6 41.9 37.4 1.40 97.33

BELLOWS DEP alkcol NR 100 301 0 113.3 0.6 210 100 9.20 77.0 67.4 70.6 2.39 38.76

ALICE DEP acidcl75 R 10 250 1.0 6.0 140 2 4.80 30.6 34.2 37.4 1.51 100.00

CYPRESS DEP alkcol NR 66 1910 47.5 0.4 170 64 8.50 68.5 73.2 64.6 0.04 41.04

CYPRESS DEP alkcol NR 67 1510 34.3 0 .5 170 191 9.40 65.3 70.0 64.8 0.04 46.25

GENTRY DEP alkcol R 10 600 2.4 1.8 170 80 7.60 39.2 51.5 37.4 0.09 82.52

GENTRY DEP alkcol R 38 700 1.0 2.0 165 80 7.80 30.6 50.0 56.6 0.09 90.82

TOHOPEKA DEP alkcol NR 37 1005 40.8 0.6 165 116 8. 15 67.0 68.6 56.0 0.01 45.97

TOHOPEKA DEP alkcol NR 69 1558 52.1 0.5 159 73 7.70 28.0 69.4 70.0 65.1 0.00 0.01 42.89

EAST TOH DEP alkcol R 10 600 7.2 1.6 120 71 7.60 50.0 53.2 37.4 72.32

EAST TOH DEP alkcol R 31 710 5.4 1.5 125 55 7.30 47 .1 54.2 53.7 73.92

EAST TOH DEP alkcol R 25 670 5.0 1.6 125 65 7.20 46.3 53.2 50.6 75.36

BLUE CYP DEP alkcol R 83 1240 2.3 1.0 284 254 8.10 38.6 60.0 67.9 0.04 76.16

BLUE CYP DEP alkcol R 87 1040 3.5 1.3 290 254 7.40 43.0 56.2 68.5 0.04 75.66

BLUE CYP DEP alkcol R 90 1000 4.3 1.0 290 254 7.30 44.9 60.0 69.0 0.04 71.06

HARNEY DEP NR 34 1310 14.1 0.8 1300 103 56.6 63.2 55.0 0.21 58.87

HARNEY DEP NR 53 1240 5.6 0.8 900 103 47.5 63.2 61.4 66.31

CARRIE DEP a lkcol NR 31 930 9.6 0.7 70 120 6.80 52.8 65.1 53.7 1.08 60.41

HILL DEP acidcl75 R 10 310 1.0 1.2 60 13 5.20 30.6 57.4 37.4 0.86 84.87

VIOLA DEP alkclr R 10 1000 2.2 5.0 210 10 7.40 38.3 36.8 37.4 93.66

HAMBURG DEP alkcol NR 10 450 5.1 2 .2 140 30 7.60 46.6 48.6 37.4 3.89 78.82

WATERTOW DEP alkcol NR 34 1510 40.1 0.7 135 50 7.70 66.8 65.1 55.0 2.93 48.91

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 37 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

ROWELL DEP alkclr NR 10 530 4.7 1.2 418 15 7.00 45.8 57.4 37.4 1.15 72.43

JUNIPER DEP acidcol I 21 650 5.0 1.3 15 30 6.50 46.4 56.2 48.1 0.02 72.86

CASSIDY DEP acidcl65 R 10 110 2. 4 3.8 20 3 5.00 39.2 40.8 37.4 0.06 91.25

COMPASS DEP acidcl65 R 10 110 1.0 4.9 20 6 5.70 30.6 37.1 37.4 0.03 100.00 6

PATE PON DEP acidcol R 10 310 1.0 2.0 25 30 4.70 30.6 50.0 37.4 0.00 90.82

LOWERY DEP acidcl75 R 10 110 1.6 2.0 53 10 6. 18 0.5 35.1 50.0 37.4 0.00 0.04 87.09

FRANCIS DEP alkcol NR 62 950 19.8 0.6 190 200 8.63 72.0 59.9 67.4 63.7 3.43 9.05 52.78

MYSTIC DEP alkcol R 120 1210 22.8 0.5 78 51 6.60 10.0 61.3 70.0 73.2 0.21 1.66 49.55

ALLIGATO DEP alkcol NR 104 1577 83.5 0.5 87 65 8.40 28.3 74.0 70.0 71.2 0.08 0.26 39.10

JEFFERY DEP alkcol R 10 620 7.8 1.1 52 64 6.53 2.0 50.8 58.6 37.4 0.02 0.46 67.30

ERIE DEP acidcl65 R 10 490 1.0 2.6 27 20 5.03 25.0 30.6 46.2 37.4 0.93 1.01 93.87

MUNSON DEP acidcol NR 160 910 46 .0 0.4 70 80 5.97 13.0 68.1 73.2 77.3 0.05 0.27 41.30

SOUTH DEP alkcol NR 30 1610 15.3 0.7 600 60 10.30 62.0 57.4 65.1 53.2 0.06 0.54 56.67

ASHBY DEP alkcol R 89 1130 6.9 0.6 120 146 7.23 9.0 49.6 67.4 68.9 0.01 0.12 61.25

ARBUCKLE DEP alkcol R 38 930 37.5 0.7 182 112 7.41 28.0 66.2 65.1 56.6 0.01 0.05 49.44

LIVINGST DEP alkcol NR 270 1640 6.0 0.3 225 240 6.59 0.5 48.2 77.3 84.9 0.00 0.19 54.34

CLINCH DEP alkcol R 10 520 6.3 2.7 165 24 6.62 0.5 48.6 45.7 37.4 0.00 0.14 79.55

CRESCENT DEP a cidcol I 10 660 3.6 2.0 82 40 4.01 13.0 43.1 50.0 37.4 0.15 0.96 80.61

FORTY AC DEP acidcol R 140 2010 31.1 35 500 5.73 2.0 64.3 75.4 0.05 0.88

KARICK DEP alkcol NR 120 1310 90.7 0.9 68 60 7.81 17.0 74.8 61.5 73.2 0.24 0.98 45.28

OWENS Po DEP acidcol R 10 270 1.0 3.1 27 30 4.64 14.0 30.6 43.7 37.4 0.17 0.32 95.92

SEVENTEE DEP acidcl65 R 10 110 1.0 6.0 33 5 4.83 10.0 30.6 34.2 37.4 0.04 0.14 100.00

CRYSTAL DEP acidcl65 R 10 110 1.0 28 2 6.37 0.5 30.6 37.4 0.00 0.17

OYSTER P DEP alkc ol NR 53 1010 1.0 0.4 3092 400 6.78 17.0 30.6 73.2 61.4 0.77 140.53 72.09

CAMPBELL DEP acidcol R 10 450 4.5 2.0 103 40 4.72 17.0 45.3 50.0 37.4 0.19 1.14 78.74

BRADFORD DEP acidcol R 45 870 25.6 0.5 38 121 3.94 14.0 62.4 70.0 59.0 0.07 0.20 48.59

JOHNSON DEP acidcl75 R 10 660 1.0 2.1 50 15 4.61 30.6 49.3 37.4 0.10 91.39

BIVENSAR DEP alkcol NR 120 2410 90.0 0.2 165 120 9.10 50.0 74.7 83.2 73.2 0.26 0.87 27.83

WAUBERG DEP alkcol NR 94 2410 97.0 0.3 120 80 8.31 26.0 75.5 77.3 69.7 0.10 0.49 3 1.94 68

STELLA DEP alkclr NR 10 610 3.0 190 12 7.30 5.0 41.4 37.4 0.02 0.62

BROWARD DEP alkclr R 10 300 1.0 3.6 115 4 6.70 33.0 30.6 41.5 37.4 0.07 0.24 97.66

HAINES DEP alkcol NR 160 2510 107.6 0.4 300 100 9.52 76.0 76.5 73.2 77.3 0.11 0.42 34 .46 33 42

LOWERY DEP alkcol R 10 1410 10.8 1.7 198 44 6.84 6.0 53.9 52.4 37.4 69.79

GIBSON DEP acidcol R 240 710 7.1 1.2 125 69 6.12 29.0 49.8 57.4 83.2 0.06 0.26 69.11

HOLLINGS DEP alkcol NR 120 3110 105.0 0.3 160 120 8.73 23.0 76.3 77.3 73.2 0 .06 0.45 31.31

BIG GANT DEP alkcol NR 57 1110 12.6 1.6 367 70 7.34 135.0 55.4 53.2 62.5 1.45 3.94 67.86

SPARKMAN DEP alkcol R 150 1810 26.7 0.4 102 500 6.60 22.0 62.8 73.2 76.4 0.85 3.92 45.68

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 38 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

MOON DEP acidcol NR 10 920 8.4 1.4 118 30 6.20 13.0 51.5 55.2 37.4 0.13 1.20 69.53

MUD DEP acidcol NR 130 950 27.6 0.5 78 200 6.18 0.5 63.1 70.0 74.3 0.00 0.33 48.00

NONA DEP acidcl75 R 10 440 3.7 3.0 86 15 5.98 10.0 43.5 44.2 37.4 0.02 0.14 84.93

ORIENTA DEP alkcol NR 39 1010 33.3 0.6 190 50 8.87 14.0 65.0 67.4 57.0 0.11 1.47 48.61

SEMINARY DEP alkclr R 10 420 3 .0 3.3 180 4 6.55 2.0 41.3 42.8 37.4 0.04 3.27 87.84

HOWELL DEP alkcol NR 45 950 25.6 1.1 200 50 8.99 25.0 62.4 58.6 59.0 0.06 0.49 57.80

MAITLAND DEP alkcol R 29 1010 23.0 0.9 253 30 8.67 25.0 61.4 61.5 52.7 0.06 0.56 56.31

CASSIDY DEP acidcl65 R 10 110 5.0 4.5 29 10 5.13 46.4 38.5 37.4 0.09 87.06

GAP DEP acidcl65 R 0 10 5.0 4.2 25 15 5.20 0.5 46.4 39.5 0.00 0.05 86.40 2

PATE PON DEP acidcol R 18 464 33.8 1.0 25 40 4.20 65.1 60.0 45.8 0.00 54.44

PATE PON DEP acidcl65 R 18 464 33.8 1.0 24 10 4.30 65.1 60.0 45.8 0.00 54.44

PATE PON DEP acidcol R 18 464 33.8 1.0 23 35 4.30 65.1 60.0 45.8 0.00 54.44

MORRIS DEP acidcol R 10 420 5.0 1.9 104 60 4.95 46.4 50.9 37.4 77.12

HIAWATHA DEP acidcol R 27 620 11.4 1.4 135 26 6.14 2.0 54.5 55.2 51.7 0.01 0.99 67.09

A.J.HENR DEP NR 77 1810 80.0 0.4 110 9.89 25.0 73.6 73.2 66.8 36.84

MORRIS DEP acidcol R 19 369 5.0 3.4 30 4.07 0.5 46.4 42.4 46.9 84.05

GAP DEP acidcl65 R 10 378 5.0 4.1 11 4.31 20.0 46.4 39.7 37. 4 0.04 86.23 2

PATE PON DEP acidcol R 10 410 1.3 40 3.75 20.0 56.8 37.4 0.00

PATE PON DEP acidcl65 R 10 390 1.7 10 3.75 0.5 52.8 37.4 0.00

PATE PON DEP acidcol R 10 390 5.0 1.4 35 3.75 20.0 46.4 55.2 37.4 0.00 73.72

CASSIDY DE P acidcl65 R 10 110 5.0 4.0 16 4.33 20.0 46.4 39.9 37.4 0.06 86.04

LOYAL DEP alkcol R 21 437 1.0 1.0 67 30 7.40 2.0 30.6 59.5 48.3 0.03 0.91 83.13

MARGARET DEP acidcol R 15 460 1.0 0.7 170 65 4.00 30.6 65.1 42.9 0.45 78.60

GEORGES DEP acidco l R 31 150 1.0 1.0 69 30 5.00 0.5 30.6 59.5 53.7 0.00 0.08 83.13

SWIFT CR DEP acidcol R 10 867 3.8 52 283 4.53 43.6 37.4 0.09

WATERS DEP acidcol R 33 727 1.0 45 120 5.73 30.6 54.4

PALESTIN DEP acidcol R 10 527 1.0 40 93 5.03 30.6 37.4 0.04 17

OCTAHATC DEP acidcol R 410 1087 1.0 0.7 48 180 5.33 30.6 65.1 90.9 0.25 78.60

DISSTON DEP acidcol R 10 850 8.8 0.6 192 240 6.10 3.0 51.9 67.4 37.4 59.34

DISSTON DEP acidcol R 26 880 3.3 0.6 190 240 5.90 3.0 42.3 67.4 51.1 0.00 0.10 67.18

DISSTON DEP acidcol R 24 870 6.5 0.6 228 240 6.10 3.0 49.0 67.4 50.0 0.00 0.12 61.73

DISSTON DEP acidcol R 23 900 5.8 0.6 208 383 6.10 4.0 47.8 67.4 49.4 62.74

ALTHO DEP acidcol R 10 617 3.3 1.1 90 80 5.40 3.3 42.3 58.2 37.4 0. 01 0.17 74.63

CROSBY DEP acidcol R 121 768 7.2 1.1 69 240 5.68 2.7 50.0 58.6 73.3 0.00 0.13 67.96 17

HAMPTON DEP acidcol R 10 580 2.1 1.6 100 40 6.25 2.0 38.0 53.2 37.4 0.00 0.12 82.22

ANNIE DEP acidcl75 R 10 273 1.0 4.2 45 15 4.70 17.0 30.6 39.4 3 7.4 0.20 0.53 99.36

CHARLOTT DEP acidcol R 127 463 4.2 1.4 77 40 4.60 17.0 44.8 54.8 74.0 0.08 0.38 75.33

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 39 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk ME ICond tLCI Troph1

TP

Model WACALIB

TP Model

CLAY DEP acidcl75 R 10 483 7.8 1.9 168 10 5.87 7.8 50.8 50.8 37.4 0.02 0.46 73.67

DINNER DEP alkclr R 10 730 4.9 2.7 203 5 7.23 34.3 46.1 45.5 37.4 0.09 0.53 81.75

HUNTLEY DEP acidcl75 R 16 758 1.0 1.4 160 20 5.25 8.0 30.6 55.2 43.9 0.01 0.24 86.67

LTL JACK DEP alkcol NR 49 1097 36.9 1.0 147 30 9.10 13.0 66.0 60.7 60.3 53.13

LOTELA DEP alkclr R 16 570 1.0 1.5 139 5 6.78 17.0 30.6 54.2 44.1 0.02 0.17 87.47

VIOLA DEP alkclr R 10 1137 2.0 2.5 220 8 8.13 33.0 37.4 46.8 37.4 87.82

WOLF DEP acidcol R 213 1343 1.0 0.1 82 560 4.87 17.0 30.6 93.2 81.5 0.14 0.67 55.95

ANNIE DEP acidcl75 R 10 240 1.0 7.1 41 5 4.80 0.5 30.6 31.8 37.4 0.01 0.48 100.00

CHARLOTT DEP acidcol R 100 430 10.4 1.7 74 5 0 4.40 0.5 53.6 52.4 70.6 0.00 0.36 70.10

CLAY DEP alkclr R 10 540 7.5 2.5 183 20 7.30 3.0 50.4 46.8 37.4 0.01 0.50 77.22

DINNER DEP alkclr R 10 540 7.2 1.8 201 10 7.60 50.0 51.5 37.4 0.53 73.70

HUNTLEY DEP acidcl75 R 21 470 6.8 1.4 150 15 5.60 49.4 55.2 48.1 0.22 71.26

LTL JACK DEP alkcol NR 53 1510 57.8 0.6 134 70 6.90 17.0 70.4 67.4 61.4 44.17

LOTELA DEP acidcl75 R 10 360 1.0 2.3 131 5 6.30 4.0 30.6 48.0 37.4 0.00 0.16 92.44

VIOLA DEP alkclr R 10 670 3.3 4.5 227 10 7.80 37.0 4 2.3 38.3 37.4 90.40

WOLF DEP acidcol R 190 910 7.8 0.4 78 240 5.10 0.5 50.7 73.2 79.8 0.00 0.64 55.58

KINGSLEY DEP alkclr NR 10 347 1.0 2.7 78 5 7.33 6.8 30.6 45.7 37.4 0.00 0.05 94.31

MARION DEP NR 140 1510 52.6 0.6 180 6.73 31.0 69.5 67. 4 75.4 0.01 0.03 44.93

SELLERS DEP acidcl75 R 10 110 3.8 72 5 3.80 0.5 40.8 37.4

SELLERS DEP acidcl75 R 10 110 1.0 6.9 75 5 4.10 0.5 30.6 32.2 37.4 100.00

SELLERS DEP acidcl75 R 10 290 1.0 3.0 63 5 4.77 0.5 30.6 44.2 37.4 95.54

SELLERS DEP acidcl75 R 10 110 1.0 3.2 74 5 4.53 0.5 30.6 43.2 37.4 96.29

SELLERS DEP acidcl R 0 4.1 74 5 3.80 39.7

SELLERS DEP acidcl R 0 2.7 73 3 3.80 45.7

SELLERS DEP acidcl R 0 2.4 73 3 3.80 47.4

SE LLERS DEP acidcl R 0 3 4.60

SELLERS DEP acidcl75 R 10 110 5.1 79 3 4.13 36.5 37.4 0.08

MINNEOLA DEP alkcol R 0 2.2 124 30 6.92 48.6

MINNEOLA DEP alkcol R 0 2.3 124 30 6.86 48.0

MINNEOLA DEP alkcol R 0 2.2 124 30 6.83 48.6

LIVINGST DEP alkcol NR 240 1970 4.6 0.4 251 240 6.92 15.0 45.6 73.2 83.2 0.01 0.21 59.81

MATTIE DEP alkcol R 97 1210 9.4 0.5 245 120 7.41 3.0 52.6 70.0 70.1 0.00 0.23 56.65

MATTIE DEP alkcol R 83 1110 8.6 0.6 244 120 7.41 3.0 51.7 67.4 67.9 0.00 0.23 59.55

MATTIE DEP alkcol R 74 930 8.7 0.5 244 120 7.41 3.0 51.8 70.0 66.2 57.32

MATTIE DEP alkcol R 80 1110 6.4 0.5 244 120 7.41 4.0 48.8 70.0 67.3 59.73

ALICE DEP acidcl75 R 10 192 1.3 1.9 147 5 4. 32 0.5 33.0 50.5 37.4 0.01 1.58 88.44

TOOKE DEP acidcl75 R 10 502 1.0 0.8 107 13 6.23 0.8 30.6 62.4 37.4 0.00 0.45 80.84

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 40 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD T SI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

GRASSY DEP alkcol R 10 520 2.3 2.4 145 30 7.30 15.0 38.9 47.2 37.4 0.03 0.28 86.34

LETTA DEP acidcl75 R 10 330 4.7 1.6 143 10 5.90 4.0 45.7 52.9 37.4 0.01 0.30 76.08

LITTLE R DEP acidcol R 4 3 570 8.4 0.8 83 80 5.85 4.0 51.5 62.5 58.4 63.57

BONNET DEP acidcol NR 59 2190 41.9 0.6 225 50 6.45 42.0 67.2 68.0 62.9 0.16 0.87 46.29

FRANCIS DEP acidcl75 R 21 517 7.7 1.8 143 5 5.60 50.6 51.5 48.1 0.27 73.17 67 45

MINNEOLA DEP alkcol R 10 660 7.9 2.0 121 30 6.98 10.0 50.9 50.0 37.4 74.22

ALCYON DEP acidcl65 R 10 420 3.5 3.0 27 5 5.20 0.5 43.0 44.2 37.4 0.04 2.08 85.39

CONWAY DEP alkclr NR 10 630 15.6 1.4 214 20 8.67 25.0 57.6 55.2 37.4 0.02 0.20 64.55

MANGO DEP alkcol NR 99 19 10 34.0 0.7 156 120 8.94 65.2 66.2 70.4 5.20 49.39

MIDDLE DEP alkcol NR 93 1610 52.7 137 110 7.14 69.5 69.5 0.64

HARTRIDG DEP acidcol R 52 1910 49.5 1.0 234 70 6.30 68.9 60.0 61.1 0.54 51.38

LIZZIE DEP acidcol R 22 820 6.8 3.0 105 58 6.42 49.4 44.2 48.7 1.11 80.08

BONNET DEP alkcol R 41 1360 38.2 0.7 107 106 7.41 66.3 65.1 57.7 1.32 49.30

KING DEP alkcol R 23 1310 12.5 1.1 128 76 6.59 55.4 58.6 49.0 1.05 63.54

GENEVA DEP alkcol R 46 1860 28.5 1.0 198 7.62 63.5 60.0 59.2 55.81

CHAUTAUQ DEP alkcol R 10 610 3.6 3.1 176 50 7.21 43.3 43.7 37.4 85.53

BONNY DEP alkcol NR 75 1810 61.2 0.5 113 64 6.92 71.0 70.0 66.3 0.32 41.60 32 43

GARFIELD DEP alkcol R 73 1050 41.1 0.5 94 120 6.79 67.0 70.0 66.0 0.14 4 4.80

MARIANNA DEP alkclr NR 58 1750 60.9 0.5 213 16 7.36 70.9 70.0 62.6 41.63

CONINE DEP acidcol NR 57 1700 52.0 0.7 204 47 6.50 69.4 65.1 62.5 0.86 46.83 26 42

LITTLE R DEP acidcol R 21 580 11.6 1.3 80 30 6.20 54.6 56.2 48.1 0.24 66.11

LETTA DEP acidcl75 R 25 460 5.6 1.4 143 15 6.00 47.5 55.2 50.6 0.30 72.83

TRAFFORD DEP acidcol NR 360 1250 31.4 0.7 179 100 6.40 64.4 65.1 89.0 0.12 50.87

KINGS DEP acidcl65 I 10 490 5.4 2.0 22 10 5.27 0.5 47.1 50.0 37.4 77.33

MULEHEAD DEP acidcl65 R 10 330 1.0 6.0 29 10 4.78 0.5 30.6 34.2 37.4 100.00

DUNFORD DEP acidcl65 R 10 290 1.0 5.9 24 10 4.46 0.5 30.6 34.4 37.4 0.00 0.12 100.00

PORTER DEP acidcl65 R 10 220 1.0 5.9 25 5 4.38 0.5 30.6 34.4 37.4 0.00 0.03 100.00

MAJOR D EP acidcl65 R 10 110 1.0 4.2 28 5 4.36 0.5 30.6 39.3 37.4 0.01 0.28 99.45

DOUBLE P DEP acidcl65 R 10 300 2.7 3.1 33 10 5.29 0.5 40.2 43.7 37.4 0.02 1.18 88.02

BLUE PON DEP acidcl65 R 10 230 1.0 3.9 26 10 5.04 0.5 30.6 40.4 37.4 98.59

BLUE DEP acidcol R 21 870 11.8 1.3 37 30 6.39 0.5 54.8 56.2 48.1 65.98

LITTLE S DEP acidcol NR 10 1025 10.4 1.2 69 100 4.96 0.5 53.6 57.2 37.4 0.00 0.06 66.19

OCEAN PO DEP acidcol R 29 630 4.3 0.7 43 50 4.88 0.5 44.9 65.1 52.7 0.00 0.02 66.91

OCEAN PO DEP acidcol R 21 620 3.5 0.9 43 45 5.13 43.0 61.5 48.1 0.02 71.38

OCEAN PO DEP acidcol R 10 700 3.6 1.0 43 40 4.95 43.3 60.0 37.4 72.36

OCEAN PO DEP acidcol R 10 690 4.3 1.1 43 40 4.95 44.9 58.6 37.4 72.17

LOW DEP acidcol R 170 2110 3 0.8 0.9 52 140 5.90 0.5 64.2 61.5 78.2 53.97

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 41 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

GORE DEP acidco l R 26 1410 2.1 0.7 83 150 6.34 20.0 38.1 65.1 51.1 0.24 0.98 72.48

MAGNOLIA DEP acidcl75 R 10 110 2.4 3.1 30 15 5.08 0.5 39.2 43.7 37.4 0.00 0.15 88.84

SHEELAR DEP acidcl75 R 10 250 1.0 9.0 18 5 4.78 0.5 30.6 28.3 37.4 0.03 1.00 100.00

GENTRY DEP acidcol R 25 1110 4.8 1.2 134 80 6.02 3.0 45.9 57.4 50.6 0.00 0.08 72.31

GENTRY DEP acidcol R 25 1510 5.1 1.2 138 80 5.87 3.0 46.6 57.4 50.6 0.00 0.08 71.75

SELLERS DEP acidcl75 R 10 110 1.0 4.0 78 5 4.31 0.5 30.6 40.0 37.4 98.89

DALHOUSI DEP alkclr R 10 750 10.7 2.5 169 15 6.95 9.0 53.9 46.8 37.4 0.04 0.70 74.35

LITTLE W DEP alkclr R 10 1000 9.3 1.6 147 20 7.00 3.0 52.5 53.2 37.4 0.01 0.46 70.25

MINNEOLA DEP alkcol R 10 660 7.9 2.0 121 30 6.98 10.0 50.9 50.0 37.4 0.01 0.06 74.22

MINN EOLA DEP alkcol R 10 1210 8.6 1.8 122 30 7.08 8.0 51.8 51.5 37.4 0.00 0.06 72.25

BUTLER DEP alkclr NR 10 930 1.0 4.3 229 10 7.87 27.0 30.6 39.0 37.4 0.02 0.14 99.73

MARY JAN DEP acidcol NR 10 1360 3.9 0.4 71 300 4.98 0.5 43.9 73.2 37.4 0.00 0.06 61.1 6

HART DEP acidcol R 38 1130 17.5 0.6 75 300 5.36 0.5 58.7 67.4 56.6 53.77

HART DEP acidcol R 31 1260 14.8 0.6 78 300 5.39 0.5 57.0 67.4 53.7 0.00 0.04 55.13

CONWAY DEP alkclr NR 10 520 6.7 2.2 216 15 8.50 24.0 49.3 48.6 37.4 0.02 0.20 76.59

BLUE CYP DEP alkcol R 140 1040 1.0 1.0 131 500 6.87 30.6 60.0 75.4 0.02 82.75

BLUE CYP DEP alkcol R 130 1060 1.0 0.8 140 500 6.60 30.6 63.2 74.3 0.02 80.15

TARPON DEP alkcol NR 57 1610 17.2 0.1 739 76 8.00 58.5 100.5 62.5 0.29 27.12

TAR PON DEP alkcol NR 54 1510 14.9 0.8 737 78 7.60 57.1 63.2 61.7 0.29 58.45

TARPON DEP alkcol NR 74 1610 13.5 0.5 739 60 8.00 56.1 70.0 66.2 0.29 53.77

TARPON DEP alkcol NR 53 1060 26.1 0.5 766 134 6.53 62.6 70.0 61.4 0.30 48.45

POSTON P DEP R 10 890 3.0 2.3 40 7.60 41.3 48.0 37.4 83.64

OCHEESEE DEP acidcol R 21 1000 17.7 1.2 21 27 5.35 58.8 57.4 48.1 0.01 61.75

ADAMS DEP alkcol R 32 1200 12.5 0.4 67 499 6.60 55.4 73.2 54.1 1.23 51.78

LOGAN DEP R 10 1300 10.3 1.6 6.84 53.4 53.2 37.4 69.50

MICCOSUK DEP acidcol R 29 1200 5.6 1.3 23 70 5.75 47.5 56.8 52.5 0.00 71.46

PICKETT DEP R 35 1100 13.0 0.4 63 6.50 55.8 73.2 55.4 0.74 51.46

DORR DEP acidcol R 43 610 12.4 0.7 71 80 5.40 55.3 65.1 58.4 0 .05 58.35

EATON DEP acidcol R 53 2000 2.2 0.3 102 613 6.30 38.3 77.3 61.4 0.33 62.40

ELLEN DEP acidcol R 10 1300 4.3 1.0 40 95 5.30 44.9 60.0 37.4 0.27 71.06

FORT ATK DEP R 34 1400 8.1 0.5 59 4.50 51.1 70.0 55.0 2.57 57.88

GRASSHOP DEP acidcl75 R 10 950 6.0 1.0 74 1 4.50 48.2 60.0 37.4 68.35

OTTER DEP acidcol R 40 2000 1.0 0.6 119 222 4.61 30.6 67.4 57.3 0.89 76.80

SILVER DEP acidcl65 R 10 300 2.6 4.2 20 18 5.18 39.9 39.3 37.4 1.54 91.86

TOWNSEND DEP acidcol NR 3 6 1200 25.5 0.5 46 206 5.50 62.4 70.0 55.8 0.42 48.63

WILDCAT DEP acidcl75 R 10 550 3.9 1.2 62 18 4.80 43.8 57.4 37.4 0.27 74.03

HALFMOON DEP acidcol NR 30 1300 15.0 1.3 65 40 6.45 57.1 56.2 53.2 0.19 64.04

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 42 

## APPENDIX 1: (CONTINUED)

Lake S tudy ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

LOU DEP acidcol NR 22 1200 15.0 1.2 77 60 5.00 57.1 57.4 48.7 0.72 63.11

ANDREWS DEP acidcol R 10 600 16.6 1.5 55 85 5.19 58.1 54.2 37.4 1.25 64.89

DELANCY DEP acidcol R 10 840 6.4 1.5 50 24 5.30 48.8 54.2 37.4 0.13 72.51

TURKEY P DEP acidcl65 R 10 110 1.0 4.6 28 5 4.25 0.5 30.6 38.0 37.4 0.03 1.72 100.00

Red Beac DEP acidcol R 21 1170 1.0 0.8 77 80 5.70 30.6 63.2 48.1 0.23 80.15

Apthorpe DEP alkcol R 10 1770 1.0 2.1 169 40 6.80 30.6 49.3 37.4 0.77 91.39

Glenada DEP alkcol NR 240 1420 118.9 0.5 209 100 9.50 77.5 70.0 83.2 1.18 36.25

Lelia DEP alkcol R 21 1210 2.6 1 .9 174 40 7.40 39.9 50.8 48.1 1.05 82.63

Little DEP acidcol R 10 640 1.0 1.6 36 60 4.20 30.6 53.2 37.4 4.50 88.22

Submarin DEP acidcol NR 10 380 1.0 1.8 38 50 4.20 30.6 51.5 37.4 1.73 89.59

Red Beac DEP acidcol R 10 560 12.2 0.9 79 80 6.5 0 55.1 61.5 37.4 0.24 61.44

Kerr DEP acidcl75 NR 10 280 1.8 2.7 180 15 5.69 36.1 45.7 37.4 0.06 89.81

Open DEP acidcl65 R 10 105 9.0 5.0 82 5 4.32 52.2 36.8 37.4 0.51 82.33

Defuniak DEP acidcl65 NR 10 325 12.0 4.4 78 10 5.42 55.0 38.7 37 .4 80.01

Rattlesn DEP acidcl65 R 10 105 10.5 4.7 80 5 4.33 53.7 37.7 37.4 0.80 81.09

DUNFORD DEP acidcl65 R 10 300 10.0 5.8 79 5 4.28 53.2 34.7 37.4 0.38 81.48

ALICE DEP acidcl75 R 10 100 10.0 4.0 131 4 4.51 53.2 40.0 37.4 1.41 80.37

Big Blue DEP acidcl65 R 10 183 8.0 4.4 54 10 4.53 51.0 38.7 37.4 83.27

Hurrican DEP alkcol I 60 995 32.1 1.5 148 30 7.15 64.6 54.2 63.2 59.58

CHERRY DEP alkcol R 24 870 6.6 1.1 108 80 6.89 5.0 49.2 58.6 50.0 0.01 0.27 68.65

CRESCENT D EP alkclr I 10 660 2.7 3.8 116 20 6.79 3.0 40.5 40.8 37.4 0.02 0.81 90.21

MAJOR DEP acidcl65 R 10 110 8.0 3.3 83 15 4.37 51.0 42.8 37.4 0.83 79.92

Apthorpe DEP alkcol R 10 787 15.2 1.1 171 40 6.80 57.3 58.6 37.4 0.78 61.95

Cherry DEP acidcl6 5 R 29 410 10.0 2.7 42 5 5.92 53.2 45.7 52.5 0.09 75.79

Lelia DEP alkcol R 10 600 4.3 1.2 169 40 8.20 44.9 57.4 37.4 1.02 73.18

Glenada DEP alkcol NR 57 980 47.0 0.7 186 100 8.70 68.4 65.1 62.5 1.05 47.63

STELLA DEP alkclr NR 10 600 1.0 2 .1 208 12 6.60 16.0 30.6 49.3 37.4 0.05 0.68 91.39

Court Ma DEP acidcl65 R 10 318 1.0 6.5 84 10 4.92 30.6 33.0 37.4 0.31 100.00

JACKSON DEP alkclr NR 10 355 1.0 2.8 101 10 7.55 30.6 45.2 37.4 0.48 94.73

Keystone DEP acidcol R 10 530 1.0 2.3 89 30 6.14 30.6 48.0 37.4 0.21 92.44

NEWNANS DEP alkcol NR 78 3400 178.2 0.2 80 250 9.33 81.4 83.2 67.0 0.01 22.33

TALQUIN DEP alkcol I 80 540 14.3 0.9 90 120 6.60 56.7 61.5 67.3 0.01 60.12

TALQUIN DEP alkcol I 74 610 20.6 1.4 100 60 6.90 60.3 55.2 66.2 0.01 62.34

TALQUIN DEP alkcol I 46 670 22.6 1.2 92 50 7.90 61.2 57.4 59.4 0.01 59.80

Piney Z DEP acidcol NR 51 1100 25.0 1.1 33 40 6.47 62.2 58.6 60.8 0.17 57.97

Henry DEP alkcol NR 160 760 1.0 0.7 126 167 7.23 30.6 65.1 77.3 78.60

TOOKE DEP alkclr R 10 430 1.0 2.2 72 8 7.50 30.6 48.6 37.4 0.31 91.93

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 43 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

Panasofk DEP alkcol R 10 690 1.0 1.8 180 27 8.50 30.6 51.5 37.4 0.04 89.59

Panasofk DEP alkcol R 23 940 1.0 1.0 220 27 8.20 30.6 60.0 49.4 0.05 82.75

TSALA AP DEP alkcol R 10 790 1.0 3.0 118 127 6.70 30.6 44.2 37.4 0.01 95.54

TSALA AP DEP alkcol R 10 760 1.0 1.5 123 127 7.00 30.6 54.2 37.4 0.01 87.47

TSALA AP DEP alkcol R 25 910 2.3 1.6 150 127 6.90 38.6 53.2 50.6 0.01 81.70

TSALA AP DEP alkcol R 25 1000 7.9 1.3 167 127 7.00 50.9 56.2 50.6 0.01 69. 17

TSALA AP DEP alkcol R 32 870 7.0 1.1 153 127 7.00 49.6 58.6 54.1 0.01 68.27

TSALA AP DEP alkcol R 36 930 15.4 1.1 177 127 7.10 57.4 58.6 55.8 0.01 61.87

FRANCIS DEP alkcol NR 310 3700 283.1 0.1 151 200 9.10 86.0 93.2 86.9 7.19 10.54

County C DEP alkcol NR 4100 6900 513.2 0.2 1473 120 9.68 91.8 83.2 124.1 14.02

Buffum DEP acidcol R 46 540 1.0 1.1 160 21 5.70 30.6 58.6 59.4 0.10 83.86

Buffum DEP acidcol R 55 600 18.1 0.8 150 21 6.30 59.0 63.2 61.9 0.10 56.88

MUNSON DEP acidcol NR 570 2000 35.0 0.4 88 80 6.39 65.5 73.2 95.7 0.35 43.49

LAFAYETT DEP acidcol R 120 2700 53.3 0.2 32 120 5.50 69.6 83.2 73.2 0.01 32.04

Iammonia DEP acidcol R 42 630 1.0 1.0 62 100 5.50 30.6 60.0 58.0 82.75

Iammonia DEP aci dcol R 10 450 1.0 2.0 27 40 5.70 30.6 50.0 37.4 90.82

Iammonia DEP acidcol NR 120 1300 27.3 76 50 5.80 63.0 73.2 46.83

Juliana DEP alkcol R 44 850 9.0 0.9 218 40 8.20 52.1 61.5 58.7 0.24 63.87

MATTIE DEP alkcol R 70 1000 28.0 0.6 1 81 120 7.41 63.3 67.4 65.4 0.17 50.00

CLINCH DEP alkcol R 23 520 1.0 1.9 140 24 7.10 30.6 50.8 49.4 0.12 90.22

CLINCH DEP alkcol R 25 550 1.0 1.8 141 24 7.10 30.6 51.5 50.6 0.12 89.59

THONOTOS DEP alkcol NR 260 1800 97.1 0.4 472 82 9.50 75.5 73.2 84.3 0.58 35.29 45 51

McBride DEP acidcol R 33 450 13.3 1.5 33 50 6.42 56.0 54.2 54.6 0.21 66.64

MICCOSUK DEP acidcol R 10 650 20.0 0.9 29 100 5.50 60.0 61.5 37.4 0.00 57.43

MICCOSUK DEP acidcol R 10 570 8.0 1.1 30 40 6.20 51.0 58 .6 37.4 0.00 67.14

Little DEP acidcol R 10 415 1.0 2.0 39 60 4.40 30.6 50.0 37.4 4.88 90.82

Submarin DEP acidcol NR 10 225 1.0 2.7 42 50 4.30 30.6 45.7 37.4 1.91 94.31

Hammond DEP acidcol R 10 690 3.7 2.4 150 30 6.37 43.5 47.4 37.4 1.70 82.33

Dixie DEP acidcol R 19 774 5.6 1.1 130 80 5.48 47.5 58.6 46.6 26.00 70.02

HOWELL DEP alkcol NR 41 675 26.7 1.0 160 50 7.90 40.0 62.8 60.0 57.7 0.10 0.39 56.33

MAITLAND DEP alkcol R 30 650 27.1 1.0 176 30 8.25 42.0 63.0 60.0 53.2 0.09 0.3 9 56.23

SEMINARY DEP acidcl75 R 13 470 6.0 15 6.30 48.2 41.1

ORIENTA DEP alkcol NR 61 1000 60.0 50 8.87 70.8 63.4

Rexford DEP acidcl75 NR 11 510 5.5 2.7 104 20 6.22 47.4 45.7 38.7 2.03 80.56

WILSON DEP alkcol NR 13 850 5. 1 2.4 103 40 6.97 46.6 47.4 41.1 1.72 79.81

Gifford DEP acidcol NR 18 795 16.2 113 70 6.22 57.9 45.8 1.88

TROUT DEP alkcol NR 140 1000 20.8 0.8 120 150 6.52 60.4 63.2 75.4 9.97 55.76

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 44 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

ALLIGAT1 DEP acidcol NR 22 640 4.6 1.0 103 60 6.47 2.0 45.5 60.0 48.7 0.00 0.03 70.56

CENTER DEP acidcol NR 110 125 0 8.6 0.2 93 300 5.14 0.5 51.7 83.2 71.9 0.00 0.23 46.76

ASHBY DEP alkcol NR 98 760 5.5 0.8 99 150 6.91 14.0 47.2 63.2 70.3 0.01 0.10 66.52

Dias DEP alkcol NR 37 785 23.9 0.7 107 80 6.63 61.7 65.1 56.2 0.15 53.07

EMMA DEP alkcol NR 10 680 7.7 1 .0 108 60 6.52 6.0 50.7 60.0 37.4 0.03 0.62 66.30

SELLERS DEP acidcl75 R 10 110 1.0 4.8 73 5 4.09 0.5 30.6 37.4 37.4 100.00

SOUTH DEP alkcol NR 63 1830 39.2 0.6 493 60 7.86 104.0 66.6 67.4 63.9 0.09 0.45 47.30

Little O DEP acidcol NR 55 1600 1 .0 1.2 59 100 6.25 30.6 57.4 61.9 0.07 84.87

TAMPA BA DEP NR 150 5100 204.1 0.3 3814 8.51 82.8 77.3 76.4 25.96

BEAR DEP alkcol I 43 604 14.3 1.1 53 40 7.42 56.7 58.6 58.4 0.49 62.45

CRESCENT DEP acidcol I 10 290 1.0 1.9 62 40 6.33 1 4.0 30.6 50.8 37.4 0.16 0.73 90.22

Sand Ham DEP acidcl65 NR 17 614 1.0 2.3 31 15 5.90 30.6 48.0 45.0 0.58 92.44

JUNIPER DEP acidcol I 14 435 1.0 2.3 20 30 5.90 30.6 48.0 42.2 0.03 92.44

BRICK DEP acidcol NR 10 1110 0.4 124 300 4.17 2.0 73 .2 37.4 0.00 0.20

Dixie DEP acidcol R 10 720 5.6 1.6 126 75 6.11 47.5 53.2 37.4 25.27 74.38

Hammond DEP acidcol R 15 654 3.7 2.7 146 30 6.22 43.5 45.7 43.2 1.66 83.70

Webb DEP alkclr NR 10 764 1.0 2.5 127 10 8.10 30.6 46.8 37.4 93.41

Webb DEP alkclr NR 10 804 1.0 1.5 99 10 7.80 30.6 54.2 37.4 87.47

JOSEPHIN DEP alkcol NR 53 767 6.9 0.4 107 80 6.85 49.5 73.2 61.4 0.09 56.58

JOSEPHIN DEP acidcol NR 92 1259 31.6 0.5 92 80 6.05 64.5 71.5 69.3 0.07 45.69

FISH DEP alkco l NR 44 1100 0.8 123 60 6.90 63.2 58.7 0.56

Kilarney DEP alkcol NR 59 1000 51.7 1.0 172 40 8.11 69.3 60.0 62.9 0.72 51.02

Jumper DEP alkcol NR 22 1600 9.8 1.1 107 75 6.93 53.0 58.6 48.7 0.35 65.49

Denton DEP alkclr NR 10 2420 1.0 5.2 256 5 8.30 30.6 36.2 37.4 3.88 100.00

Denton DEP alkclr NR 10 2930 1.0 6.1 263 5 7.60 30.6 33.9 37.4 3.98 100.00

Rachard DEP alkclr NR 34 590 4.0 1.4 199 15 9.10 44.1 55.2 55.0 75.60

Rachard DEP alkclr NR 10 574 22.0 1.1 189 5 8.90 60. 9 58.6 37.4 59.00

BEAR DEP alkcol 43 604 14.3 1.1 53 40 7.42 56.7 58.6 58.4 0.49 62.45

SANDHAMMOCKPOND DEP acidcl65 17 614 0.9 2.3 31 15 5.90 29.3 48.0 45.0 0.58 93.47

JUNIPER DEP acidcol 14 435 0.9 2.3 20 30 5.90 29.3 48.0 42.2 0. 03 93.47

ROUSSEAU DEP 80 880 1.0 210 70 30.6 67.3

ROUSSEAU DEP alkcol 88 970 1.0 0.9 200 70 7.10 30.6 61.5 68.7 81.52

DEER DEP 43 1304 13.7 0.8 155 50 56.3 63.2 58.4 2.38 59.11

LOWERY DEP alkcol 22 1204 1.0 1.4 150 50 6.60 30.6 55.2 48.7 86.67

MARTHA DEP 15 425 1.0 4.7 239 5 30.6 37.7 43.2 2.81 100.00

SWIM DEP alkclr 15 164 1.0 50 5 6.60 30.6 43.2

AVALON DEP alkclr 15 556 1.5 444 15 8.10 54.2 43.2

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 45 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

AVALON DEP alkclr 15 765 0.9 1.7 424 20 7.60 29.3 52.4 43.2 89.95

JOSEPHINE DEP alk col 767 6.9 0.4 107 80 6.85 49.5 73.2 0.09 56.58

JOSEPHINE DEP alkcol 29 626 12.8 0.4 120 80 6.90 55.6 73.2 52.7 0.10 51.61

JOSEPHINE DEP acidcol 61 1107 17.3 0.4 84 80 6.10 58.5 73.2 63.4 0.07 49.18

JOSEPHINE DEP acidcol 110 1311 30.7 0.5 99 160 6.00 64.2 70.0 71.9 0.08 47.15

SANDHAMMOCKPOND DEP acidcol 180 689 1.0 33 40 5.60 30.6 79.0 0.62

JUNIPER DEP acidcol 80 600 1.1 23 30 5.50 31.7 67.3 0.03

HUNTLEY DEP alkcol 42 720 1.1 1.5 126 30 7.00 31.5 54.2 58.0 0.19 86.70

BEAR DEP acidcol 820 960 1.1 56 30 6.00 31.7 100.9 0.51

DINNER DEP alkclr 12 670 1.1 2.7 163 10 7.50 31.5 45.7 40.0 0.43 93.54

CRESCENT DEP acidcl65 7 670 1.1 68 15 6.20 31.7 32.2 0.80

KATHRYN DEP alkcol 2 0 794 0.6 174 40 8.42 67.4 47.3 2.29

IVANHOE DEP alkcol 43 804 1.0 167 40 7.79 60.0 58.4 1.34

ALLIGATOR DEP alkcol 26 677 1.0 100 75 7.08 60.0 51.1 0.03

TROUT DEP acidcol 44 908 0.6 73 150 5.62 67.4 58.7 0.27

LIZZ IE DEP acidcol 32 872 0.8 85 100 5.63 63.2 54.1 0.11

UNDERHILL DEP alkcol 48 974 0.6 135 60 7.20 67.4 60.0 0.92

SAWGRASS DEP alkcol 200 1529 1.0 324 150 6.82 60.0 80.6 0.80 30 43

FAIRVIEW DEP alkcol 28 723 1.1 152 40 7.65 58.6 52.2 0.38

MINNEHAHA DEP alkcol 21 585 0.8 154 30 7.64 63.2 48.1

GIBSON DEP alkclr 4 454 4.4 266 15 6.90 38.7 24.1 3.50

SOUTHTWIN DEP alkclr 7 564 6.0 250 10 7.81 34.2 32.2 3.09

UMATILLA DEP alkcol 28 804 1. 1 179 30 6.63 58.6 52.2 1.11

MARTIN DEP 29 334 9.4 1.0 168 30 52.6 60.0 52.7 64.73

MARTIN DEP 17 864 1.0 1.0 378 20 30.6 60.0 45.0 82.75

STONE DEP 46 614 22.4 1.0 49 30 61.1 60.0 59.4 57.75

KELLAIR DEP 27 0 794 22.3 1.0 284 100 61.1 60.0 84.9 57.78

COTTON DEP 32 520 2.1 1.0 175 60 38.1 60.0 54.1 13.46 76.63

LOWERDEERPOINT DEP 18 444 1.0 1.0 90 30 30.6 60.0 45.8 0.02 82.75

UPPERDEERPOINT DEP 15 184 1.0 1.0 89 20 30.6 60.0 43.2 0.02 82.75

GEORGES DEP acidcol 40 164 1.0 1.3 26 30 4.30 30.6 56.2 57.3 0.03 85.80

JOHNSON DEP acidcol 15 192 1.0 1.5 17 40 4.10 30.6 54.2 43.2 0.04 87.47

PERSIMMON DEP alkcol 37 3400 47.0 0.6 305 40 7.40 68.4 67.4 56.2 45.84

CLAY DEP acidcl75 15 530 1.1 132 10 6.50 31.5 43.2 0.36

SUNSHINE DEP alkclr 45 504 1.1 326 20 7.70 31.5 59.0

CRYSTAL DEP alkclr 17 844 1.1 6.0 3198 10 8.00 31.5 34.2 45.0 99.23

PARKER DEP alkcol 240 3004 196.0 127 150 8.40 82.4 83.2 0.06 32 48

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 46 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

SHIPP DEP alkcol 50 1604 50.9 1 65 75 7.70 69.2 60.6 0.58 57 74

MIRROR DEP alkcol 32 1004 22.6 148 75 6.80 61.2 54.1 1.20

MAY DEP alkcol 76 1804 54.3 163 100 7.10 69.8 66.6 3.70 35 48

LENA DEP alkcol 61 1604 63.9 195 75 9.17 71.4 63.4 0.94

EFFIE DEP alkcol 220 2504 140.0 0.3 420 150 6.97 79.1 77.3 81.9 4.12 28.99

BUCK DEP alkcol 150 1404 94.5 120 200 6.56 75.2 76.4 3.24

PARKER DEP alkcol 190 2640 74.8 129 200 7.23 72.9 79.8 0.06 32 48

COWPEN DEP acidcl75 41 134 1.0 58 5 4. 60 30.6 57.7 0.10

RODMAN DEP alkcol 63 724 1.0 415 150 7.10 30.6 63.9 0.03

RODMAN DEP alkcol 65 837 1.1 0.7 448 150 7.50 31.7 65.1 64.3 0.03 77.69

BROOKLYN DEP acidcol 15 284 1.0 2.0 15 30 5.26 30.6 50.0 43.2 0.02 90.82

KI NGSLEY DEP alkclr 16 264 1.0 6.0 49 10 6.60 30.6 34.2 44.1 100.00

DEATON DEP alkcol 25 1804 35.7 0.3 170 60 8.42 65.7 77.3 50.6 0.22 39.98

CRYSTAL DEP alkclr 15 794 1.0 4.6 3465 5 8.00 30.6 38.0 43.2 100.00

CLAY DEP alkclr 20 514 1.0 2.9 138 15 7.00 30.6 44.7 47.3 0.38 95.14

DINNER DEP alkclr 15 1204 1.0 2.1 174 10 7.20 30.6 49.3 43.2 0.46 91.39

HUNTLEY DEP alkclr 26 524 1.0 1.4 133 20 6.70 30.6 55.2 51.1 0.20 86.67

PERSIMMON DEP alkcol 37 3540 62.7 0.4 312 100 6.90 71.2 73.2 56.2 38.80

SUNSHINE DEP alkcol 29 734 6.6 0.8 346 30 7.90 49.1 63.2 52.7 64.98

SEBRING DEP alkcol 68 581 1.1 0.7 88 140 7.10 31.5 65.1 65.0 77.83

VIOLA DEP alkclr 15 820 1.0 4.2 210 10 7.60 30.6 39.3 43.2 99. 45

SEBRING DEP acidcol 27 632 35.9 0.7 82 100 6.40 65.7 65.1 51.7 49.80

WEIR DEP alkcol 41 884 8.7 1.7 169 80 7.32 51.8 52.4 57.7 0.03 71.56 18 18

MOON DEP acidcol 15 634 1.1 1.7 94 50 6.10 31.7 52.4 43.2 0.95 88.01

BIRD DEP acidcol 26 734 1.1 2.0 130 40 5.80 31.7 50.0 51.1 0.87 89.91

ANN DEP acidcol 23 574 12.8 1.3 104 40 5.60 55.6 56.2 49.4 65.30

FORTCOOPER DEP alkcol 16 834 1.1 2.0 267 75 7.00 31.7 50.0 44.1 1.78 89.91

NEFF DEP acidcol 84 1208 26.3 0.5 55 1 50 5.60 62.7 70.0 68.0 0.24 48.39

STEMPER DEP alkcol 23 1004 1.1 1.1 117 75 7.20 31.7 58.6 49.4 0.93 82.95

MONKEYBUSINESS DEP acidcol 67 1205 29.5 0.9 12 75 6.13 63.8 61.5 64.8 54.30

HALL DEP acidcl65 34 384 2.9 4.2 9 15 5.40 41.0 3 9.3 55.0 0.05 90.92 8

TALLAVANA DEP alkcol 150 756 29.5 1.0 129 75 7.90 63.8 60.0 76.4 55.53

WEIR DEP alkcol 20 854 8.3 1.7 171 80 7.82 51.3 52.4 47.3 0.03 71.93 18 18

WEIR DEP alkcol 29 854 8.8 1.7 170 80 7.57 52.0 52.4 52.7 0.03 71 .42 18 18

COTTON DEP alkcol 55 490 1.0 29 100 6.98 30.6 61.9 2.23

STONE DEP alkcol 15 397 10.8 46 30 6.75 53.9 43.2

UPPERDEERPOINT DEP alkcol 15 294 1.0 75 6.70 30.6 43.2

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 47 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType R ef TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

LOWERDEERPOINT DEP alkcol 15 315 1.0 9 75 6.84 30.6 43.2 0.00

LUCAS DEP acidcl65 15 184 1.1 24 5 4.5 3 31.7 43.2 0.05

MOSSYPOND DEP acidcl65 22 244 2.9 21 10 4.42 41.0 48.7 0.20

HICKS DEP acidcl65 15 244 1.1 24 10 4.84 31.7 43.2 0.05

KELLAIR DEP alkcol 240 625 1.1 194 75 7.37 31.5 83.2

VIOLA DEP alkclr 15 550 5 .6 3.5 199 5 8.10 47.5 41.9 43.2 83.48

MARTIN DEP alkcol 27 630 21.0 264 75 7.75 60.5 51.7

MARTIN DEP alkcol 28 460 1.0 97 100 7.00 30.6 52.2

EAGLE DEP alkcol 19 694 16.7 1.3 300 30 7.54 58.2 56.2 46.6 0.46 63.16

WI NTERSET DEP alkcol 37 1104 32.0 4.0 315 40 8.04 64.6 40.0 56.2 0.57 71.01

WALES DEP alkclr 21 504 6.1 1.8 150 15 7.37 48.4 51.5 48.1 0.46 75.01

MARIAM DEP alkcol 0 14.5 0.2 150 6.69 56.8 83.2 42.51

HOWARD DEP alkcol 28 1004 32.1 0.8 225 50 8.63 64.6 63.2 52.2 0.36 52.25 30 47

SALT DEP 85 2905 35.1 0.6 11500 75 65.5 67.4 68.2 31.42 48.19

LOUGHMAN DEP 100 2604 117.0 0.4 11500 75 77.3 73.2 70.6 20.65 33.79

STARKE DEP 36 1005 32.5 0.5 260 60 64.8 70.0 55.8 1.28 46.68

JACKSON DEP acidcol 27 704 7.5 1.9 27 30 6.30 50.3 50.8 51.7 0.01 74.04

JACKSON DEP alkcol 36 836 11.9 0.5 41 50 6.60 54.9 70.0 55.8 0.01 54.76

HAMMOCK DEP acidcl65 15 234 2.1 25 10 4.64 38.1 43.2 0.28

FULLER D EP acidcol 27 709 6.4 206 150 4.94 48.8 51.7 4.90

CARRIE DEP alkcol 61 782 1.0 0.6 88 200 7.10 30.6 67.4 63.4 1.35 76.80

CARRIE DEP acidcol 39 923 34.2 0.9 83 150 6.50 65.3 61.5 57.0 1.28 53.12

MARION DEP alkcol 160 1608 44.9 0.5 104 80 7.39 67.9 70.0 77.3 0.02 44.08

MARION DEP alkcol 140 1805 61.2 0.5 100 80 7.46 71.0 70.0 75.4 0.02 41.60

JOHNS DEP alkcol 76 1319 12.8 1.0 190 80 7.18 55.6 60.0 66.6 0.08 62.25

JOHNS DEP alkcol 38 1205 13.6 1.0 188 80 7.03 56.2 60.0 56.6 0.08 61.75

BRANTLEY DEP alkcol 23 574 2.8 2.1 114 80 7.14 40.6 49.3 49.4 0.42 83.22

CAMPCREEK DEP alkcol 0 1.0 30 7.03 30.6

ZAPPA DEP 150 1407 1.1 0.7 224 7.60 31.5 65.1 76.4 77.83

ADELAIDE DEP acidcol 23 494 1.0 1.8 90 50 6.00 30.6 51.5 49.4 89.59

ADELAIDE DEP acidcol 24 735 5.4 2.0 77 40 6.30 47.1 50.0 50.0 77.25

LITTLEBONNET DEP alkcol 22 1205 28.2 0.7 202 50 6.90 63.4 65.1 48.7 51.74

ZAPPA DEP alkcol 99 1156 8.0 0.7 160 200 6.60 51.0 65.1 70.4 61.87

TROUT DEP acidcl75 15 428 1.0 2.8 124 20 6.50 30.6 45.2 43.2 94.73

VERONA DEP alkclr 21 670 1.5 3.1 120 20 7.70 34.6 43.7 48.1 92.66

TULANE DEP alkclr 15 610 1.0 7.5 127 10 7.40 30.6 31.0 43.2 100. 00

LITTLEBONNET DEP alkcol 29 1660 18.8 0.8 208 40 7.50 59.4 63.2 52.7 56.56

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 48 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Mo del WACALIB

TP Model

MOSSYPOND DEP acidcl65 15 324 1.0 24 20 4.55 30.6 43.2 0.23

JACKSON DEP alkcol 27 464 1.0 1.7 115 30 6.90 30.6 52.4 51.7 0.03 88.93

JACKSON DEP alkcol 36 524 1.0 1.7 115 30 7.10 30.6 52.4 55.8 0.03 88.93

SOUTH TWIN DEP 15 654 259 7.71 43.2 3.20

DEER DEP acidcol 60 464 1.0 205 80 6.40 30.6 63.2 5.13

POWELL DEP alkclr 15 344 1.0 3.1 31400 15 7.54 30.6 43.7 43.2 47.79 95.92

JACKSON DEP alkcol 25 530 1.0 1.7 113 50 6.80 30.6 52. 4 50.6 0.03 88.93

TROUT DEP acidcl75 21 664 10.0 1.6 120 20 6.10 53.2 53.2 48.1 69.70

HOWELL DEP 63 1305 200 8.70 63.9 0.49

PORTER DEP alkclr 30 513 176 15 6.52 53.2 5.50

GIBSON DEP alkclr 15 494 4.2 263 5 7. 53 39.3 43.2 3.46

JACKSON DEP alkcol 15 414 1.0 1.6 101 30 7.20 30.6 53.2 43.2 0.03 88.22

VERONA DEP alkclr 15 334 1.0 4.6 150 20 6.70 30.6 38.0 43.2 100.00

TULANE DEP acidcl75 15 427 1.0 4.3 120 15 6.40 30.6 39.0 43.2 99.73

ORIENTA DEP alkcol 52 1906 264 50 7.31 61.1 2.05

BRANTLEY DEP alkclr 15 564 138 15 6.51 43.2 0.51

DIAS DEP alkcol 48 1104 60 6.61 60.0

GENTRY DEP 15 564 189 6.96 43.2 0.11

GENTRY DEP 17 644 197 6.75 45.0 0.11

SELLERS DEP acidcl75 15 80 71 5 3.94 43.2 0.07

WILDCAT DEP acidcl75 15 314 56 15 4.43 43.2

MINNEOLA DEP acidcol 38 664 98 40 5.58 56.6 0.05

MINNEOLA DEP acidcol 0 40 5.69

SMITHPOND DEP acidcl65 83 694 1.7 1.1 29 20 5.32 35.8 58.6 67.9 79.59

LONGPOND DEP acidcl65 23 534 1.0 1.0 23 20 6.31 30.6 60.0 49.4 1.77 82.75

ALLIGATOR DEP alkcol 14 654 1.0 0.9 251 200 6.72 30.6 61.5 42.2 10.46 81.52

LITTLEREDFISH DEP alkcol 14 635 4.1 0.9 229 100 6.72 44.4 61.5 42.2 70.18

JACKSON DEP acidcl75 17 434 1.0 1.9 103 15 6.30 30.6 50.8 45.0 0.03 90.22

JACKSON DEP acidcl75 23 438 1.0 2.0 105 20 6.40 30.6 50.0 49.4 0.03 90.82

Bear Reg ions alkclr 91 657 27.5 1.0 50 15 7.90 20.0 63.1 60.0 69.2 0.18 0.46 56.10

Hurrican Regions alkclr 79 570 21.1 1.7 51 14 8.20 21.0 60.5 52.4 67.2 64.40

Karick Regions alkclr 70 417 14.8 1.5 33 15 7.00 9.6 57.0 54.2 65.4 0.14 0.47 65.80

Ston e Regions alkclr 135 637 28.4 1.4 42 19 7.40 13.0 63.4 55.2 74.9 59.75

Back Regions alkclr 16 497 10.8 1.5 36 12 6.70 6.1 53.9 54.2 44.1 68.33

Blue Regions alkclr 20 503 9.2 1.7 29 12 7.10 5.4 52.4 52.4 47.3 0.18 0.97 71.08

Cassidy Regi ons acidcl65 4 100 1.5 4.5 20 3 5.20 0.0 34.6 38.3 24.1 0.06 96.74

Charles1 Canfield acidcol 14 473 2.5 1.5 11 45 5.00 1.9 39.6 54.2 42.2 80.10

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 49 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

Compass Regions acidcl65 3 200 2.0 3.9 18 6 6.30 0.7 37.4 40.4 20.0 0.00 0.03 93.02 6

DeFuniak Regions acidcl65 6 303 3.7 3.3 20 5 6.40 1.7 43.4 42.8 30.0 86 .13

Haven LW(6/96) 15 435 11.8 1.5 54.8 54.2 43.2 67.62

Jackson( Canfield acidcl65 13 359 2.8 2.7 19 10 6.40 4.1 40.7 45.7 41.1 0.02 0.09 86.03

Juniper Regions acidcol 16 500 4.6 2.2 17 33 5.80 0.6 45.6 48.6 44.1 0.00 0.03 79.65

K ings Regions acidcl65 11 433 5.1 16 9 6.20 1.4 46.6 38.7

Merritts Canfield alkclr 19 1497 1.1 191 2 8.20 95.6 31.5 46.6 0.47 0.95

Ocheesee Regions acidcol 10 440 6.9 2.3 18 27 5.50 0.8 49.5 48.0 37.4 0.00 0.01 76.91

Pate Regions acidc ol 8 270 4.5 1.3 20 37 4.70 0.0 45.4 56.2 34.1 0.00 73.71

Seminole Canfield alkclr 44 514 10.5 0.5 66 20 6.80 20.1 53.7 70.0 58.7 55.77

Spring Summer ' acidcl65 510 12.1 15 10 6.20 1.4 55.1 0.01 0.09

Stanley Regions acidcl65 8 440 4 .9 2.3 28 18 6.40 2.7 46.2 48.0 34.1 0.03 0.28 79.66

Sun Canfield acidcl65 14 420 2.0 15 10 5.30 1.8 37.4 42.2

Victor Canfield acidcl65 12 294 2.9 2.7 25 15 6.40 6.1 41.0 45.7 40.0 0.04 0.18 85.75

(NO NAME EPA

- ELS alkclr 3 5.0 23 10 6. 60 1.5 36.8 20.0

BLACK EPA

- ELS acidcl65 8 3.4 16 15 5.30 0.0 42.4 34.1 0.70

Black Do Regions acidcol 5 170 3.0 2.4 13 23 5.30 0.0 41.4 47.4 27.4 84.10

Boat Regions acidcl65 1 40 0.6 31 1 4.50 0.0 25.6 4.2 0.24

Bream Regi ons acidcl65 2 87 0.8 5.6 12 3 5.30 0.0 28.4 35.2 14.1 100.00

COMPASS EPA

- ELS acidcl65 2 7.0 14 5 6.50 1.2 32.0 14.1 0.02 0.25 6

Crystal Regions acidcl65 2 113 1.5 6.3 18 2 6.30 0.9 34.6 33.5 14.1 0.01 0.11 96.74

Dunford Canfield acidcl6 5 7 220 0.8 5.0 15 6 5.00 1.0 28.4 36.8 32.2 0.00 0.07 100.00

Gap Regions acidcl65 3 213 1.7 16 5 5.10 0.0 35.8 20.0 0.03 2

Gin Regions acidcl65 3 217 2.3 3.0 12 9 5.40 0.0 38.8 44.2 20.0 0.28 88.84

Hicks Regions acidcl65 2 230 1.5 3.7 1 8 4 5.10 0.0 34.6 41.1 14.1 0.04 94.72

HOMESTEA EPA

- ELS acidcl65 1 5.5 14 5 4.90 0.0 35.4 4.2

Lighter Regions acidcol 3 153 1.7 2.6 15 29 5.50 0.5 35.8 46.2 20.0 0.04 1.07 89.60

Lucas Regions acidcl65 5 233 1.9 17 8 5.70 0.7 36.9 27 .4 0.00 0.04

McCormic Regions acidcl65 6 100 1.6 16 3 5.40 0.0 35.2 30.0 0.11

McKenzie Regions acidcl65 2 187 1.9 3.4 19 9 4.70 0.0 36.9 42.4 14.1 0.18 91.83

Merial Canfield acidcl65 6 64 0.5 3.2 19 0 4.70 0.4 23.8 43.2 30.0 0.00 0.08 9 6.29

Mirrow Regions acidcl65 3 163 1.2 5.2 19 4 5.20 0.0 32.4 36.2 20.0 0.58 98.53

OPEN EPA

- ELS acidcl65 2 3.3 15 5 5.00 0.0 42.8 14.1 0.09

Owens Regions acidcl65 4 150 1.8 2.6 20 7 4.90 0.0 36.4 46.2 24.1 0.24 89.14

PAYNE EPA

- ELS acidcl65 6 5.0 18 10 5.00 0.0 36.8 30.0

Porter Regions acidcl65 3 193 1.8 3.5 16 4 5.00 0.0 36.4 41.9 20.0 0.02 92.60

Round Regions alkclr 4 227 2.0 3.8 36 5 7.10 6.7 37.4 40.8 24.1 0.20 1.09 92.71

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 50 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

Silver(S Regions acidcl65 3 23 0.8 20 2 4.90 0.0 28.4 20.0

SPARKLEB EPA

- ELS acidcl65 1 0. 9 11 5 5.70 0.0 61.5 4.2 0.48

Stewart Regions alkclr 2 60 0.9 17 3 6.80 1.6 29.6 14.1 0.04 0.45

Turkey P Canfiel1 acidcl65 2 132 1.0 3.2 21 1 4.70 0.4 30.6 43.2 14.1 0.03 1.31 96.29

White Do Regions alkclr 1 77 1.1 4.8 15 3 6.60 2.7 31.5 37.4 4.2 99.23

(NO NAME EPA

- ELS alkcol 202 0.7 198 150 8.50 29.0 65.1 80.7

Anderson Regions acidcol 15 377 2.3 2.9 45 21 6.50 12.0 38.8 44.7 43.2 0.32 1.18 88.44

Arrowhea LW(6/96) 29 425 12.1 1.0 55.1 60.0 52.7 62.70

Belmont LW(6/96) 47 1130 22.9 0.9 61.3 61.5 59.7 56.34

Blair Regions acidcl65 3 487 2.3 19 16 5.40 0.4 38.8 20.0 0.01 0.26

Blairsto LW(6/96) 71 1187 42.4 0.7 67.4 65.1 65.6 48.46

Blue Her LW 93 alkclr 26 610 11.6 57 1 5 7.40 20.0 54.6 51.1

Bockus LW(6/96) 16 399 4.3 1.8 44.9 51.5 44.1 77.86

Carolyn LW(6/96) 34 344 18.3 1.4 59.1 55.2 55.0 63.29

Carr Regions acidcl65 25 717 12.2 1.3 27 20 6.50 6.7 55.1 56.2 50.6 0.01 0.04 65.69

C herry Regions acidcl65 27 543 21.5 1.2 40 6 6.10 0.7 60.7 57.4 51.7 0.00 0.08 60.20

Cobb Regions acidcol 10 423 3.9 1.4 15 28 5.70 1.2 44.0 55.2 37.4 0.01 0.09 75.72

Diane LW 93 alkclr 7 277 2.0 31 6 6.90 4.9 37.4 32.2 0.08 0.48

Elizabet LW( 6/96) 24 336 13.3 3.7 56.0 41.1 50.0 77.17

Erie LW(6/96) 6 424 2.3 2.3 38.8 48.0 30.0 85.75

Hall Summer ' alkclr 10 300 1.5 5.8 26 6 6.80 3.4 34.6 34.7 37.4 0.02 0.15 96.74 8

Hay Pond Regions acidcl65 21 533 31.1 11 8 6.3 0 1.1 64.3 48.1 0.03 0.28

Iamonia Regions acidcol 17 567 6.8 23 40 5.80 2.8 49.4 45.0 0.00 0.00

Jackson Regions alkclr 24 527 8.8 2.0 45 13 6.90 13.3 51.9 50.0 50.0 0.00 0.01 73.33

Maclay Summer ' alkclr 10 353 1.7 5.3 27 6 6.70 3.5 35.8 3 6.0 37.4 95.73

Mays Pon Regions alkcol 91 3323 124.1 0.3 88 157 9.90 27.3 77.9 77.3 69.2 0.38 1.22 29.96

Miccosuk Regions acidcol 17 443 5.8 1.9 26 25 6.00 5.0 47.8 50.8 45.0 0.00 0.00 76.08

Monkey B LW 93 alkclr 42 630 30.3 54 17 7.20 16. 0 64.1 58.0

Mystic Regions alkcol 28 693 5.6 1.1 64 51 6.60 14.7 47.5 58.6 52.2 0.31 1.36 70.00

Overstre Summer ' acidcl65 11 287 1.4 3.6 19 8 5.90 1.6 33.9 41.5 38.7 0.01 0.15 94.95

Petty Gu LW(6/96) 33 547 22.4 1.0 61.1 60.0 54.6 57.74

Rachel Regions acidcl65 4 227 1.6 16 6 6.00 1.5 35.2 24.1 0.02 0.16

Razor Regions alkclr 26 780 3.5 152 11 8.00 69.0 42.9 51.1 0.78 1.71

Rock Isl Regions acidcol 127 607 40.7 0.5 38 88 6.20 5.1 67.0 70.0 74.0 0.05 0.37 44.87

Shelly P LW(6/96) 96 1057 41.5 0.9 67.1 61.5 70.0 51.56

Silver Regions acidcl65 13 387 4.6 2.9 23 18 6.20 2.8 45.6 44.7 41.1 0.07 0.58 82.87

Simpson Regions alkcol 297 1593 170.6 0.7 133 77 9.10 31.0 81.0 65.1 86.3 2.58 11.08 37.26

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 51 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

Sneads S Regions acidcol 31 620 15.5 24 40 6.00 5.1 57.5 53.7 0. 06 0.30

Sommerse LW(6/96) 219 2008 216.3 0.5 83.3 70.0 81.9 31.44

Tallavan LW(6/96) 59 707 34.7 0.9 65.4 61.5 62.9 53.00

Talquin LW 93 alkcol 50 580 16.6 114 27 8.20 22.0 58.2 60.6

Wooten LW(6/96) 16 490 7.6 2.0 50.5 50.0 44.1 74.51

Andrew Regions acidcl65 5 197 2.7 14 12 5.30 0.0 40.3 27.4 1.40

Dog Regions acidcl65 5 217 2.5 16 4 5.00 0.0 39.6 27.4 1.23

Dog Pond Regions acidcl65 5 300 2.1 24 9 4.60 0.0 37.9 27.4 1.00

Lof ten Canfiel1 acidcl65 5 633 2.0 2.5 20 20 4.90 1.0 37.4 46.8 27.4 87.84 6

Lost Regions acidcl65 11 257 3.9 17 11 5.60 0.2 44.0 38.7

Moore Canfiel1 acidcl65 5 353 3.0 5.3 17 19 5.80 2.2 41.4 36.0 27.4 0.03 0.25 91.16

Trout Po LW(6/96) 7 307 3.6 2.5 43.2 46.8 32.2 83.11

(NO NAME EPA

- ELS alkclr 12 2.5 153 15 8.40 74.0 46.8 40.0

Alcyone Regions acidcl65 22 283 5.6 2.4 26 12 5.50 0.4 47.5 47.4 48.7 0.03 2.00 79.09

Alligato Regions alkcol 136 1933 102.1 0.8 77 46 7.20 26.3 76.0 63.2 75.0 0.08 0.23 42.95

Amber Ja Regions acidcol 11 910 3.2 22 33 4.60 0.0 42.0 38.7

Blue Regions acidcol 178 903 0.9 0.5 52 333 5.80 4.0 29.6 70.0 78.9 74.68

Burnetts Regions alkcol 334 1020 33.4 1.2 117 102 6.9 0 21.0 65.0 57.4 87.9 0.91 5.09 56.65

Clear LW(6/96) 97 865 12.1 1.4 55.1 55.2 70.1 66.61

DeSoto Regions alkcol 116 3083 300.5 0.3 144 70 9.20 51.7 86.6 77.3 72.7 2.35 6.55 22.85

Forest LW(6/96) 118 567 6.3 1.9 48.7 50.8 72.9 75.42

Frances Regions alkclr 111 1750 70.5 0.4 169 17 8.30 80.7 72.3 73.2 72.1 3.84 8.05 37.86

Hammocks LW(6/96) 170 1044 36.7 1.2 65.9 57.4 78.2 55.90

HAVEN WI EPA

- ELS acidcol 28 0.6 38 175 6.50 2.4 67.4 52.2

Jeffery Regions acidcol 13 597 5.6 1.5 39 64 5.80 0.8 47.5 54.2 41.1 0.01 0.34 73.61

Kingswoo Summer ' acidcol 20 655 5.5 71 45 6.50 6.8 47.3 47.3

Louise Canfield acidcol 22 632 6.5 1.8 46 42 6.40 5.0 49.0 51.5 48.7 0.05 0.44 74.54

Low Regions a cidcol 296 937 4.7 0.6 52 242 5.80 2.4 45.8 67.4 86.2 64.36

Mill Pon Regions alkclr 23 540 13.1 2.8 38 16 6.70 8.0 55.8 45.2 49.4 0.80 3.80 74.04

Mills Cr LW(6/96) 253 450 83.9

Montgome Regions alkclr 38 840 23.4 1.5 131 19 7.60 43.0 61.5 54.2 56.6 62.11

Moon LW(6/96) 148 878 45.8 1.4 68.1 55.2 76.2 55.91

Octahatc Regions acidcol 346 850 2.8 0.7 44 246 5.70 2.1 40.7 65.1 88.5 0.01 0.23 70.32

Peacock LW(6/96) 84 1286 39.3 1.3 66.6 56.2 68.0 56.28

Prairie Regions alkcol 195 870 28.1 1.1 155 73 7.30 40.7 63.3 58.6 80.2 1.23 4.70 57.03

Suwannee Regions acidcol 49 983 37.9 0.9 48 36 6.50 6.7 66.3 61.5 60.3 52.29

Timber LW(6/96) 64 827 6.0 48.2 64.1

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 52 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

Trout Regions acidcl65 34 340 5.7 36 15 5.70 0.1 47.7 55.0 0.00 0.82

Wat ertow Regions alkcol 32 1073 36.0 0.8 136 29 8.70 42.0 65.8 63.2 54.1 0.91 2.96 51.33

White Regions alkclr 15 357 4.6 46 20 6.60 7.1 45.6 43.2 0.17 1.10

Adams Regions acidcol 18 1367 2.3 0.4 51 499 5.30 1.5 38.8 73.2 45.8 0.03 0.94 65.38

And rews Regions acidcol 15 527 11.4 1.1 30 85 5.40 0.5 54.5 58.6 43.2 0.01 0.68 64.29

Booze Regions acidcol 31 1303 39.5 0.6 67 196 3.90 0.0 66.7 67.4 53.7 5.58 47.24

Bradford 1

- QAQC acidcol 18 518 8.5 0.4 24 121 5.00 0.2 51.6 73.2 45.8 0.00 0.12 5 4.87

Camp Cre LW(6/96) 6 381 3.0 1.2 41.4 57.4 30.0 76.04

Campbell LW(6/96) 5 354 2.5 2.9 39.6 44.7 27.4 87.77

Cascade LW(6/96) 15 671 8.3 0.7 51.4 65.1 43.2 61.58

Christma Regions acidcol 11 820 5.3 1.2 78 124 4.00 0.0 47.0 57.4 38.7 71.46

Corn Lan Canfield alkcol 13 574 2.8 1.3 199 82 7.00 26.6 40.7 56.2 41.1 0.59 4.42 77.52

Dead Canfield acidcol 14 297 3.6 2.0 38 68 6.30 11.8 43.2 50.0 42.2 80.52

Deer Poi Canfield alkcol 8 184 1.9 2.1 6 0 62 6.90 22.6 36.9 49.3 34.1 0.00 0.01 86.22

Ellen Regions acidcol 6 450 3.9 1.0 30 95 5.10 0.0 44.0 60.0 30.0 0.20 71.80

Found Regions acidcol 15 497 6.3 30 87 4.30 0.0 48.7 43.2

Grassy LW(6/96) 20 838 5.0 0.7 46.4 65.1 47.3 65.65

Hiawatha 1

- QAQC acidcol 20 625 9.3 0.4 31 129 4.50 0.0 52.5 73.2 47.3 54.15

Jones Regions acidcol 9 693 2.8 19 43 5.30 0.0 40.7 35.8

Koon Canfiel1 acidcol 5 687 3.0 1.4 29 63 5.20 2.6 41.4 55.2 27.4 0.26 2.90 77.83

Middle Regions acidcol 41 1423 64.5 0.6 65 342 3.90 0.0 71.5 67.4 57.7 8.13 43.29

Minnieha 1

- QAQC acidcol 15 720 11.5 0.4 30 126 4.60 0.0 54.6 73.2 43.2 52.44

Munson Regions alkcol 109 693 20.2 119 28 10.30 34.0 60.1 71.8 0.13 0.47

Otter Can field acidcol 29 501 2.9 0.9 128 222 4.90 2.3 41.0 61.5 52.7 0.02 0.96 72.96

Oyster Canfield alkcol 34 554 4.0 0.9 4338 208 6.60 18.8 44.2 61.5 55.0 0.85 197.18 70.37

Peach Cr LW(6/96) 6 440 0.9 1.0 29.6 60.0 30.0 82.75

Powell LW(6/9 6) 14 422 4.3 1.7 44.9 52.4 42.2 77.20

Ten Mile Regions acidcol 6 807 6.2 1.9 23 48 5.60 0.5 48.5 50.8 30.0 0.13 5.75 75.55

Townsend Regions acidcol 10 1070 4.2 0.7 34 206 5.30 0.4 44.7 65.1 37.4 0.00 0.31 67.06

Waccasas Regions alkc ol 42 987 11.6 0.5 50 64 6.60 6.9 54.6 70.0 58.0 54.97

Waters Regions acidcol 340 2500 21.1 0.1 50 521 6.20 2.8 60.5 93.2 88.2 31.42

Waters P Regions acidcol 16 983 10.0 0.8 36 248 5.20 0.0 53.2 63.2 44.1 61.63

Western Canfield alkc ol 6 289 1.3 1.7 5636 141 6.80 21.3 33.2 52.4 30.0 0.10 25.62 86.82

Wimico Canfield alkcol 28 493 3.9 0.5 126 113 6.80 21.3 44.0 70.0 52.2 0.01 0.03 63.74

Winquipi Regions acidcol 10 937 2.6 25 53 5.20 0.0 40.0 37.4

Fisher Regions acidco l 13 1220 1.1 70 343 4.40 0.0 31.5 41.1

Ocean Po Regions acidcol 16 383 7.4 0.8 40 120 4.70 0.0 50.2 63.2 44.1 0.02 64.06

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 53 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

Palestin Regions acidcol 11 420 4.6 1.2 44 77 5.00 0.0 45.6 57.4 38.7 0.05 72.60 17

Swift Cr Regions acidcol 61 1042 15.6 0.3 56 445 4.70 0.0 57.6 77.3 63.4 0.10 46.64

Alto Regions acidcol 14 553 5.8 1.2 69 62 5.80 1.0 47.8 57.4 42.2 70.73 17

Butler Regions acidcol 14 500 2.6 1.7 52 55 6.20 1.8 40.0 52.4 42.2 0.00 0.12 81.24

Crosby Regions acidcol 11 637 11.1 1.8 64 43 5.40 0.3 54.2 51.5 38.7 0.00 0.12 70.23 17

DeValeri LW(6/96) 33 678 11.4 1.0 54.5 60.0 54.6 63.18

Hampton Regions acidcol 10 557 7.6 1.5 66 72 5.40 0.2 50.5 54.2 37.4 0.00 0.08 71.16

Little S Regions acidcol 8 530 6.2 1.2 69 33 5.00 0.0 48.5 57.4 34.1 0.06 70.20

Melrose 1

- Q AQC acidcl75 10 422 8.8 1.6 68 17 6.00 1.1 51.9 53.2 37.4 70.73

Punchbow LW(6/96) 14 607 6.5 1.1 49.0 58.6 42.2 68.80

Rowell Regions alkcol 37 753 15.4 1.7 234 74 7.20 23.3 57.4 52.4 56.2 0.06 0.64 66.94

Sampson Regions alkcol 1 3 657 3.0 1.8 149 79 7.10 11.3 41.4 51.5 41.1 0.01 0.07 80.76

Santa Fe Regions acidcol 8 447 5.3 1.9 68 27 5.90 0.9 47.0 50.8 34.1 0.00 0.01 76.81

(NO NAME EPA

- ELS acidcol 12 0.7 39 65 5.70 0.1 65.1 40.0

(NO NAME EPA

- ELS alkclr 22 3.3 41 20 7.40 12.3 42.8 48.7

(NO NAME EPA

- ELS acidcl75 14 2.0 45 20 6.40 0.6 50.0 42.2

(NO NAME EPA

- ELS acidcl75 9 4.4 33 10 6.20 0.7 38.7 35.0

(NO NAME EPA

- ELS alkclr 13 1.9 34 10 7.00 3.8 50.8 41.1

(NO NAME EPA

- ELS acidcl75 3 2.7 50 10 4.70 0.0 45.7 20.0

Barco Canfiel1 acidcl75 2 82 1.0 5.4 43 2 4.50 0.1 30.6 35.7 14.1 0.00 1.39 100.00

Bedford Regions acidcl75 40 497 17.7 1.1 44 17 5.90 0.4 58.8 58.6 57.3 0.00 0.22 60.75

Blue LW(6/96) 5 13 8 1.6 3.1 35.2 43.7 27.4 92.14

BLUE PON EPA

- ELS acidcol 8 2.5 43 25 4.40 0.0 46.8 34.1 0.21

Boll Gre 1

- QAQC acidcl75 10 187 1.7 1.5 61 7 6.30 2.2 35.8 54.2 37.4 0.08 2.18 83.20

Bolt Regions acidcl75 11 263 4.3 2.0 29 7 5.70 0.2 44 .9 50.0 38.7 79.09

Brim pon Canfiel1 alkclr 9 624 8.0 2.2 95 10 7.80 29.1 51.0 48.6 35.8 3.64 11.88 75.20

Brooklyn LW(6/96) 9 194 4.2 2.1 44.7 49.3 35.8 79.84

Brookly1 LW(6/96) 18 379 8.0 1.6 51.0 53.2 45.8 71.50

Bu ll Pon Canfiel1 acidcl75 11 522 3.0 1.4 57 9 5.30 0.7 41.4 55.2 38.7 0.03 2.04 77.83

Chipco LW(6/96) 8 243 4.8 3.5 46.0 41.9 34.1 84.72

Church LW(6/96) 5 154 4.8 4.3 46.0 39.0 27.4 87.11

Cowpen Regions acidcl75 6 57 0.7 81 3 4.80 0.0 27.1 30.0 0.14

Crystal 1

- QAQC alkclr 10 363 11.3 2.2 38 9 6.80 5.7 54.4 48.6 37.4 0.01 0.09 72.43

Cue Canfiel1 acidcl75 5 91 2.0 5.8 45 0 4.60 0.5 37.4 34.7 27.4 0.00 0.31 94.43

Deep Canfiel1 acidcl75 2 158 1.0 36 4 4.60 0.3 30.6 14.1 0.02 1.80

Deer LW(6/96) 6 105 4.4 7.5 45.1 31.0 30.0 88.08

Deerback 1

- QAQC acidcl75 13 747 4.2 1.8 84 14 5.80 0.7 44.7 51.5 41.1 0.01 1.15 78.05

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 54 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Dep th Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

DJ Regions acidcl75 2 297 1.7 41 6 4.90 0.0 35.8 14.1

East LW(6/96) 24 790 5.7 47.7 50.0

Fanny 1

- QAQC acidcl75 10 205 3.5 2.1 78 5 4.60 0.0 42.9 49.3 37.4 0.78 81.31

Gator Bo LW(6/96) 8 316 1.9 2.1 36.9 49.3 34.1 86.22

Geneva 1

- QAQC acidcl75 10 380 2.5 1.6 83 5 5.80 0.4 39.6 53.2 37.4 0.00 0.05 80.85

Georges 1

- QAQC acidcl75 15 133 3.2 1.5 57 7 4.60 0.0 42.0 54.2 43.2 0.07 78.11

Gillis 1

- QAQC acidcl75 10 533 6.5 0.9 65 10 4.90 0.0 49.0 61.5 37.4 1.44 66.47

Gold Hea LW(6/96) 6 131 0.5 23.8 30.0

Green Po Regions acidcl75 3 87 1.9 3.1 39 3 5.60 0.0 36.9 43.7 20.0 1.2 2 90.76

Halfmoon Regions acidcl75 5 333 3.6 43 9 5.60 0.5 43.2 27.4 0.00 0.29

Hardesty 1

- QAQC acidcol 10 505 6.0 0.8 57 22 6.40 4.1 48.2 63.2 37.4 0.09 1.30 65.74

Hewitt 1

- QAQC acidcl75 10 153 1.8 1.8 51 7 5.30 0.0 36.4 51.5 37.4 0.53 84.8 6

Higgenbo 1

- QAQC acidcl75 10 548 4.2 2.7 55 7 5.60 0.3 44.7 45.7 37.4 0.01 1.10 82.77

Hutchins Regions acidcl75 9 267 4.9 2.3 64 4 5.70 0.3 46.2 48.0 35.8 0.00 0.50 79.66

Ida LW(6/96) 15 326 9.1 1.8 52.3 51.5 43.2 71.83

Island 1

- QAQC acidcl75 15 300 5.5 1.8 65 9 6.10 1.1 47.3 51.5 43.2 0.01 0.48 75.88

Johnson LW(6/96) 8 237 3.4 1.7 42.6 52.4 34.1 79.08

Keys pon Canfiel1 acidcl75 2 208 1.0 5.3 43 2 5.40 1.7 30.6 36.0 14.1 0.13 3.31 100.00

Kingsley Canfield al kclr 11 278 2.0 4.2 54 6 7.00 9.6 37.4 39.3 38.7 0.01 0.03 93.88

Lily 1

- QAQC acidcl75 10 200 6.3 2.7 56 6 5.40 0.0 48.7 45.7 37.4 0.50 79.51

Little34 LW(6/96) 14 526 14.8 1.8 57.0 51.5 42.2 67.92

Little14 Canfiel1 alkcol 21 1161 1 3.0 1.4 83 29 6.80 31.8 55.8 55.2 48.1 66.04

Little16 LW(6/96) 9 217 3.9 1.4 44.0 55.2 35.8 75.72

Little K LW(6/96) 13 395 4.4 2.5 45.1 46.8 41.1 81.50

Long Pon Regions acidcl75 2 113 1.4 64 3 4.60 0.0 33.9 14.1 1. 83

Lowery Regions acidcl75 6 87 2.9 2.3 31 7 4.90 0.0 41.0 48.0 30.0 0.02 83.88

Magnolia Regions acidcl75 3 123 2.9 3.5 32 12 4.80 0.0 41.0 41.9 20.0 0.16 88.77

MAGNOLIA EPA

- ELS acidcl75 4 4.4 26 10 5.10 0.0 38.7 24.1 0.13

Mariner LW(6/96) 2 120 3.3 4.6 42.3 38.0 14.1 90.40

MARINER EPA

- ELS acidcl75 5 3.8 38 10 4.90 0.0 40.8 27.4

Mason LW(6/96) 6 117 6.3 2.8 48.7 45.2 30.0 79.93

Miles Ka LW(6/96) 10 270 3.5 2.3 42.9 48.0 37.4 82. 37

Morris Regions acidcl75 7 150 1.8 3.7 41 10 6.10 1.5 36.4 41.1 32.2 0.02 0.61 93.25

North Tw 1

- QAQC alkclr 17 437 24.3 1.5 43 9 6.80 4.9 61.9 54.2 45.0 0.18 1.59 61.81

Opal LW(6/96) 6 435 2.5 4.3 39.6 39.0 30.0 92.36

Paradise R egions alkclr 7 350 3.2 2.8 99 6 8.00 33.0 42.0 45.2 32.2 0.72 2.15 85.38

Pebble LW(6/96) 13 219 4.6 1.8 45.6 51.5 41.1 77.32

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 55 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinit y TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

Pegram 1

- QAQC acidcl75 10 877 9.3 1.9 73 14 6.30 2.6 52.5 50.8 37.4 0.04 1.18 72.29

Picnic Canfiel1 acidcl75 8 137 1.0 2.6 69 0 4.30 0.0 30.6 46.2 34.1 1.53 93.87

Riley 1

- QAQC acidcol 15 418 3.2 1.2 77 38 4.90 0.0 42.0 57.4 43.2 1.71 75.52

Rosa 1

- QAQC acidcl75 5 123 2.0 3.6 46 3 5.10 0.0 37.4 41.5 27.4 0.42 92.09

Sheelar LW(6/96) 4 81 1.8 7.6 36.4 30.8 24.1 95.27

Silver Regions acidcl75 16 260 7.2 3.1 42 7 6.30 1.0 50.0 43.7 44.1 80.04

Spring LW(6/96) 15 244 5.4 1.7 47.1 52.4 43.2 75.36

STEVENS EPA

- ELS acidcl75 4 2.7 30 20 4.80 0.0 45.7 24.1

Swan 1

- QAQC acidcl75 2 70 1.0 62 3 5.20 0.0 30.6 14.1

White Sa LW(6/96) 9 216 2.8 1.6 40.7 53.2 35.8 79.94

Winnott 1

- QAQC acidcl75 10 418 2.5 1.9 52 12 6.20 1.9 39.6 50.8 37.4 82.85

Bonable Regions acidcol 42 953 25.6 0.5 54 85 6.10 1.1 62.4 70.0 58.0 0.01 0.26 48.60

Dinner Regions acidc ol 34 840 23.5 49 23 4.80 0.0 61.6 55.0 7.00

Section Regions acidcol 8 293 1.7 2.4 31 26 5.00 0.0 35.8 47.4 34.1 0.43 88.67

Tiger Regions acidcol 31 660 12.4 0.9 49 35 5.90 0.6 55.3 61.5 53.7 0.01 0.64 61.27

Watermel Regions acidcol 5 5 73 2.1 33 21 4.80 0.0 37.9 27.4 0.06

Blue Cre Regions alkclr 18 497 11.1 1.7 290 18 7.10 141.7 54.2 52.4 45.8 69.57

Cocker S Regions alkcol 24 537 1.4 468 39 11.70 233.7 33.9 50.0

Governor LW(6/96) 9 863 1.3 1.1 33.2 58.6 35.8 81.75

HAMMOCK EPA

- ELS alkcol 18 1.8 251 105 8.60 119.4 51.5 45.8 4.42 9.30

Horne Sp LW(6/96) 35 295 0.7 2.4 27.1 47.4 55.4 92.94

Long Pon Regions alkclr 12 480 2.0 198 14 7.90 91.0 37.4 40.0 0.39 0.85

MATTHIS EPA

- ELS alkclr 7 2.0 81 20 7.90 29.5 50.0 32.2 0.69 1.88

Rousseau Canfield alkcol 48 462 2.3 2.1 209 70 7.30 92.2 38.8 49.3 60.0 0.03 0.06 84.69

Wacissa LW(6/96) 32 260 1.2 3.6 32.4 41.5 54.1 96.19

BIRD PON EPA

- ELS alkcol 11 1.2 3 13 30 8.50 166.0 57.4 38.7 16.60 31.30

Lillian LW(6/96) 137 2088 100.8 0.6 75.9 67.4 75.1 39.70

(NO NAME EPA

- ELS acidcol 32 0.5 43 225 4.30 0.0 70.0 54.1

Apopka Canfiel1 alkcol 140 3789 127.0 0.3 371 34 9.40 111.0 78.1 77.3 75.4 29.78

Beauclai 1

- QAQC alkcol 152 3767 172.5 1.6 420 45 8.90 128.7 81.1 53.2 76.6 0.12 0.38 46.80 43 54

Bivans A Canfiel1 alkcol 384 3256 241.0 0.4 227 25 9.70 101.3 84.4 73.2 90.0 0.54 1.20 27.97

Bryant LW 93 alkclr 23 1577 39.6 100 17 7.70 23.0 66.7 49.4 0.03 0.13

Carlton Canfiel1 alkcol 92 3228 173.0 0.4 384 37 8.90 104.7 81.2 73.2 69.4 0.27 1.01 30.64

Chloe Regions alkcol 6 1290 2.3 87 45 6.80 15.0 38.8 30.0

Church Greis (1 acidcol 20 900 3.4 0.5 36 349 5.00 2.7 42.6 70.0 47.3 0.02 0.25 64.84

Deaton Regions alkcol 20 1613 19.0 1.2 184 29 7.10 25.3 59.5 57.4 47.3 0.03 0.24 61.19

Dora Canfield alkcol 90 3062 123.5 0.4 321 43 8.90 120.1 77.8 73.2 69.0 0.03 0.07 33.35 22 28

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 56 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

Dora Eas 1

- QAQC alkcol 75 3433 183.3 0.4 416 36 8.70 126.2 81.7 73.2 66.4 0.03 0.09 30.17 22 28

Dora Wes 1

- QAQC alkcol 57 3233 163.3 0.4 404 33 8.70 125.0 80.6 73.2 62.5 0.03 0.09 31.10 22 28

Eustis 1

- QAQC alkclr 45 2400 86.7 0.5 324 20 8.80 106.3 74.4 70.0 59.0 0.01 0.04 38.79 37 30

George's Regions acidcol 320 1403 15.7 0.7 93 187 6.50 14.0 57.6 6 5.1 87.3 0.25 1.63 56.45

Griffin 1

- QAQC alkcol 65 2817 99.5 0.5 339 21 8.60 107.8 75.7 70.0 64.3 0.01 0.02 37.68 43 46

Halfmoon Greis (1 acidcol 10 820 1.6 2.0 53 80 6.40 7.4 35.2 50.0 37.4 0.02 0.16 87.04

Harris 1

- QAQC alkclr 33 1533 55.2 0.6 28 4 13 8.80 108.2 69.9 67.4 54.6 0.01 0.02 44.55 66 40

Idlewild 1

- QAQC alkcol 17 1267 7.2 1.3 104 65 6.80 13.5 50.0 56.2 45.0 0.56 4.33 69.93

Johnson1 LW(6/96) 188 1837 187.4 0.7 81.9 65.1 79.7 36.51

Jumper Greis (1 alkcol 140 1800 12.7 0.4 72 405 6.80 15.6 55.5 73.2 75.4 0.05 0.24 51.64

Lake Cha Greis (1 acidcol 50 1410 0.8 0.3 53 690 6.10 8.8 28.4 77.3 60.6 0.03 0.15 68.73

Lake Eat Greis (1 acidcol 50 1160 0.9 0.3 89 613 6.50 11.5 29.6 77.3 60.6 0.04 0.29 68.73

Linda LW(6/96) 2.0 37.4

Little6 1

- QAQC alkclr 33 1517 38.3 0.8 274 17 8.50 101.5 66.4 63.2 54.6 50.83

Little O 1

- QAQC alkcol 37 1072 29.0 0.9 63 91 6.60 3.4 63.6 61.5 56.2 0.00 0.08 54.44

Lochloos Regions alkcol 51 1358 32.4 0.7 110 92 7.10 27.5 64.7 65.1 60.8 0.00 0.02 50.62

Lorraine LW(6/96) 50 2462 41.4 0.6 67.1 67.4 60.6 46.86

Lou Greis (1 acidcol 20 990 3.7 1.4 41 211 5.90 5.0 43.4 55.2 47.3 0.05 0.38 76.14

McMeekin Summer ' alkclr 21 597 8.3 2.7 77 19 6.60 2. 8 51.4 45.7 48.1 0.03 0.75 77.29

Miona Canfiel1 alkclr 12 867 8.0 1.5 122 16 7.90 22.2 51.0 54.2 40.0 0.05 0.29 70.75

Newnan Canfield alkcol 52 1228 38.0 0.6 59 93 6.80 14.4 66.3 67.4 61.1 0.00 0.01 47.55 56 61

Newnans Regions alkcol 133 4393 382 .2 0.2 80 133 7.50 10.0 88.9 83.2 74.7 0.00 0.01 16.19

North 1

- QAQC alkclr 22 642 8.0 1.3 70 19 6.60 4.4 51.0 56.2 48.7 0.02 0.39 69.08

Okahumpk Canfiel1 alkcol 21 1033 11.0 1.4 188 37 9.00 54.6 54.1 55.2 48.1 0.08 0.28 67.38

Orange Regions alkc ol 43 1150 26.3 1.1 96 51 7.00 23.3 62.7 58.6 58.4 0.00 0.01 57.56 71 48

Panasoff LW 93 alkcol 14 597 2.8 243 27 8.40 76.0 40.7 42.2 0.02 0.05

Pendarvi Regions acidcol 9 403 4.7 1.6 40 68 5.40 0.3 45.8 53.2 35.8 75.77

Picciola 1

- QAQC alkco l 57 2583 75.2 0.6 340 22 8.80 109.0 73.0 67.4 62.5 42.06

Redwater Greis (1 alkcol 80 1400 1.0 0.3 61 700 6.60 12.8 30.6 77.3 67.3 0.07 0.34 68.73

Redwater 1

- QAQC acidcol 27 897 17.8 1.1 64 64 6.50 4.5 58.8 58.6 51.7 0.02 0.26 60.70

Silver 1

- QAQC alkclr 10 2583 6.0 590 10 8.10 113.5 48.2 37.4 0.29 1.52

Star 1

- QAQC acidcol 25 373 10.5 1.3 48 25 5.70 0.5 53.7 56.2 50.6 0.00 0.21 66.89

Trout Regions alkcol 137 1313 31.9 0.8 142 164 7.00 15.0 64.6 63.2 75.1 0.15 1.39 52.30

Unity 1

- QAQC acidcol 35 858 24.2 0.8 83 123 6.00 2.3 61.9 63.2 55.4 0.02 0.80 54.53

Wauberg 1

- QAQC alkcol 78 1717 81.7 0.7 84 27 8.20 16.7 73.8 65.1 67.0 0.07 0.34 43.19 71 80

Wells Greis (1 acidcol 10 620 0.7 2.9 40 37 5.00 2.0 27.1 44.7 37.4 95.14

Yale Canfield alkclr 14 655 9.8 1.4 264 7 8.30 116.4 53.0 55.2 42.2 0.03 0.07 68.31 44 35

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 57 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

T P

Model WACALIB

TP Model

(NO NAME EPA

- ELS alkcol 29 2.7 252 35 8.50 114.5 45.7 52.7

(NO NAME EPA

- ELS acidcol 5 3.0 37 25 6.30 0.8 44.2 27.4

(NO NAME EPA

- ELS acidcl75 2 4.2 56 5 4.50 0.0 39.3 14.1

Baptist Greis (1 acidco l 20 560 5.7 1.4 35 26 4.60 0.8 47.7 55.2 47.3 0.01 0.58 72.67

Beakman Greis (1 acidcl75 14 340 0.8 3.1 43 6 4.60 1.3 28.4 43.7 42.2 0.01 0.46 95.92

Big bass Greis (1 acidcol 10 1110 1.4 2.1 32 66 5.00 2.3 33.9 49.3 37.4 0.04 0.52 88.68

Big Ste e Greis (1 acidcl75 10 350 1.0 2.1 37 20 4.90 2.7 30.6 49.3 37.4 91.39

Boyd Greis (1 acidcol 10 1150 3.0 0.6 49 369 4.10 0.5 41.4 67.4 37.4 0.02 2.04 67.97

Buck Greis (1 acidcol 10 510 1.8 3.1 34 27 5.20 2.8 36.4 43.7 37.4 0.05 0.57 91.19

B uckskin Greis (1 acidcol 11 730 1.1 2.1 30 21 4.90 1.5 31.5 49.3 38.7 0.02 0.34 90.62

Bunchgro Greis (1 acidcol 20 1410 5.1 1.1 35 96 4.40 0.5 46.6 58.6 47.3 70.76

Catherin Canfiel1 acidcl75 2 303 2.0 3.2 48 3 4.70 0.4 37.4 43.2 14.1 0.00 0.28 90.71

Chain

- O

- Greis (1 acidcl75 20 1230 1.4 2.6 41 12 4.80 2.0 33.9 46.2 47.3 91.17

Chastain LW(6/96) 17 647 7.2 1.7 50.0 52.4 45.0 73.05

Clay Canfiel1 acidcl75 7 356 4.0 4.0 51 3 4.80 0.7 44.2 40.0 32.2 0.06 4.25 87.74

Clay Greis (1 acidcl75 10 370 1.1 1.6 53 7 4.50 0.8 31.5 53.2 37.4 87.45

CLEAR EPA

- ELS alkcol 4 3.8 48 25 6.90 3.6 40.8 24.1

Clearwat Greis (1 acidcl75 10 400 1.1 2.0 61 3 4.40 0.3 31.5 50.0 37.4 0.01 2.03 90.05

Cowpen P Greis (1 acidco l 10 660 1.0 1.5 47 33 4.70 1.5 30.6 54.2 37.4 87.47

Crooked Canfiel1 acidcl75 7 313 2.0 3.1 45 4 4.60 0.4 37.4 43.7 32.2 90.34

Crooked Greis (1 acidcl75 20 470 2.0 2.8 33 13 4.70 1.3 37.4 45.2 47.3 89.16

Deer Greis (1 acidcl75 10 230 1.0 3.4 34 9 4.60 1.3 30.6 42.4 37.4 0.03 0.89 96.99

Deerhave Greis (1 acidcol 10 510 0.9 2.0 36 22 4.70 1.5 29.6 50.0 37.4 90.82

Delancy Regions acidcol 10 750 7.3 1.1 51 24 5.10 0.0 50.1 58.6 37.4 0.13 67.87

Doe Greis (1 acidcl75 10 180 0.9 4.1 47 5 4.60 1.8 29.6 39.7 37.4 0.01 0.16 99.17

Dolls LW(6/96) 19 862 6.0 0.9 48.2 61.5 46.6 67.11

Echo Greis (1 acidcl75 10 310 1.0 3.3 33 8 4.50 2.0 30.6 42.8 37.4 96.65

Farles Greis (1 acidcl75 10 440 0.6 3.9 40 9 4. 90 2.3 25.6 40.4 37.4 98.59

Fore LW(6/96) 8 480 5.0 3.5 46.4 41.9 34.1 84.39

Fore Greis (1 acidcol 10 640 3.7 1.9 40 69 4.90 1.5 43.4 50.8 37.4 79.70

Grasshop Canfiel1 acidcl75 6 259 1.0 3.7 61 0 4.50 0.1 30.6 41.1 30.0 9 7.98

Grassy Greis (1 acidcol 10 1110 1.8 0.8 35 164 5.10 3.0 36.4 63.2 37.4 0.02 0.22 75.42

Hopkins Greis (1 acidcol 10 2040 1.2 1.5 45 160 4.70 1.8 32.4 54.2 37.4 86.00

Joes LW(6/96) 12 660 4.9 2.7 46.2 45.7 40.0 81.53

Kathry n Regions acidcl75 13 513 7.7 1.7 73 20 6.40 3.7 50.6 52.4 41.1 0.12 2.43 72.51

Kerr Regions acidcl75 7 203 1.7 3.0 218 7 6.00 0.6 35.8 44.2 32.2 0.00 0.08 91.27

Kidney Regions acidcol 10 1117 4.9 1.6 42 44 4.70 0.0 46.2 53.2 37.4 75.44

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 58 

## APP ENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

King 1

- QAQC acidcl75 15 687 7.0 2.3 48 11 6.40 3.0 49.7 48.0 43.2 76.79

Lawbreak Canfiel1 acidcl75 1 108 1.0 5.5 65 0 4.40 0.0 30.6 35.4 4.2 100.00

Little3 Greis (1 acidcl75 10 360 1.2 3.3 47 13 4.70 1.3 32.4 42.8 37.4 0.01 0.51 95.18

Mary Greis (1 acidcl75 10 220 0.7 4.1 52 6 4.50 1.0 27.1 39.7 37.4 0.0 0 0.23 99.17

Mill Dam Greis (1 acidcol 10 560 1.7 3.7 43 27 6.50 6.0 35.8 41.1 37.4 93.71

Mill Dam 1

- QAQC acidcl75 15 592 5.0 1.8 52 8 6.40 2.2 46.4 51.5 43.2 0.01 0.25 76.65

Nicatoon Greis (1 acidcol 10 1490 2.9 1.5 107 141 6.10 9.3 41.0 5 4.2 37.4 0.03 0.35 78.91

North Gr Greis (1 acidcl75 7 330 0.5 5.8 39 11 4.70 1.3 23.8 34.7 32.2 0.02 0.56 100.00

Penner Greis (1 acidcol 10 840 3.2 0.9 22 78 4.50 0.8 42.0 61.5 37.4 72.17

Round La Greis (1 acidcl75 10 190 1.1 4.0 33 6 4.80 1.0 31.5 40.0 37.4 98.12

Round Po Greis (1 acidcol 10 560 1.0 2.1 34 23 4.80 2.0 30.6 49.3 37.4 0.10 1.70 91.39

Sellers Greis (1 acidcl75 10 180 0.5 5.3 45 3 4.60 1.3 23.8 36.0 37.4 100.00

Shoesole Greis (1 acidcl75 10 380 0.6 4.4 38 16 4.70 1.5 25.6 38.7 37.4 100.00

Silver Regions acidcol 5 490 2.3 2.7 87 22 4.90 0.0 38.8 45.7 27.4 5.12 87.61

Skinny D Greis (1 acidcl75 10 630 0.7 3.5 42 3 4.40 1.3 27.1 41.9 37.4 97.33

South Regions acidcol 6 723 2.3 1.3 64 94 4.40 0.0 38.8 56.2 30.0 1.60 79.10

South Gr Greis (1 acidcl75 20 350 0.9 3.3 36 9 4.70 1.3 29.6 42.8 47.3 96.65

Swim Pon Canfiel1 acidcol 25 1025 11.0 0.6 43 26 5.60 0.9 54.1 67.4 50.6 0.01 0.57 57.52

Tomahawk Greis (1 acidcl75 10 260 0.8 4.7 32 7 4.70 1.0 28.4 37.7 37.4 100.00

Trout Greis (1 acidcol 10 290 1.2 2.8 44 29 4.70 1.0 32.4 45.2 37.4 93.27

Waldena Greis (1 acidcol 14 380 1.4 2.4 29 29 5.70 2.7 33.9 47.4 42.2 0.06 0.64 90.23

Wildcat Canfield acidcl75 8 192 1.3 3.2 33 18 4.80 0.9 33.2 43.2 34.1 0.00 0.14 94.18

Wildcat Greis (1 acidcol 10 260 1.1 3.5 43 24 4.50 1.8 31.5 41.9 37.4 96.57

Yearling Greis (1 acidcl75 6 230 0.8 4.6 32 2 4.50 1.5 28.4 38.0 30.0 100.00

Akron Regions acidcol 129 773 16.3 0. 7 97 245 4.20 0.0 58.0 65.1 74.2 0.49 56.15

Ann LW(6/96) 34 1432 41.5 0.5 67.1 70.0 55.0 44.72

Asbury N LW(6/96) 13 410 4.0 2.5 44.2 46.8 41.1 82.27

Asbury S Summer ' alkclr 11 283 6.0 3.7 98 9 7.70 27.0 48.2 41.1 38.7 83.57

Ashby Canfield alkcol 18 573 11.4 0.8 80 146 6.90 12.7 54.5 63.2 45.8 0.01 0.08 60.58

Ashley 1

- QAQC acidcl75 10 180 3.0 0.5 69 3 4.60 0.0 41.4 70.0 37.4 0.81 65.85

Bel Air LW(6/96) 8 502 2.2 38.3 34.1

Belle Ai LW(6/9 6) 32 693 9.0 0.9 52.2 61.5 54.1 63.85

Belle Te LW(6/96) 27 619 15.4 1.2 57.4 57.4 51.7 62.88

Beresfor LW(6/96) 73 1287 37.9 0.7 66.3 65.1 66.0 49.36

Bethel LW(6/96) 95 1035 20.6 1.0 60.3 60.0 69.8 5 8.42

BIG EPA

- ELS alkcol 11 1.3 81 85 6.60 2.9 56.2 38.7

Birchwoo LW(6/96) 42 473 6.7 1.6 49.3 53.2 58.0 72.92

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 59 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

Bird of LW(6/96) 19 494 7.8 1.4 50.8 55.2 46.6 70.15

Birdway LW(6/96) 22 621 11.0 1.0 54.1 60.0 48.7 63.46

Blue LW(6/96) 25 345 6.7 1.2 49.3 57.4 50.6 69.57

Blue LW(6/96) 36 1100 19.1 1.0 59.5 60.0 55.8 59.03

Blue Cyp Regions alkcol 109 1003 5.7 0.6 133 254 7.50 27.0 47.7 67.4 71.8 0.00 0.02 62.81

Brandon LW(6/96) 9 350 2.4 1.8 39.2 51.5 35.8 82.55

Cathead G reis (1 acidcol 30 710 5.3 0.3 36 452 5.00 2.8 47.0 77.3 53.2 55.32

Clearwat LW(6/96) 33 670 29.8 0.8 63.9 63.2 54.6 52.85

Crane Regions acidcol 4 2440 2.8 85 85 4.30 0.0 40.7 24.1 0.89

Crescent Canfield alkcol 30 1104 24.8 0.6 234 247 7.20 19.9 62.1 67.4 53.2 50.98

Crescent Regions alkcol 133 1463 3.8 0.3 152 546 6.80 11.0 43.7 77.3 74.7 0.00 0.01 58.00

David LW(6/96) 11 509 3.1 1.4 41.7 55.2 38.7 77.57

Davis Regions acidcol 11 860 4.0 0.8 94 99 6 .00 2.5 44.2 63.2 38.7 0.04 1.65 69.00

De Witt LW(6/96) 30 739 14.6 1.2 56.9 57.4 53.2 63.31

Deborah LW(6/96) 16 512 3.9 1.7 44.0 52.4 44.1 77.98

Dexter(V Canfield alkcol 114 994 17.6 0.7 730 136 7.60 51.3 58.7 65.1 72.4 0 .03 0.38 55.53

Dias Regions alkcol 21 760 8.4 1.1 106 105 6.60 4.3 51.5 58.6 48.1 0.01 0.15 66.74

Disston Canfield acidcol 11 832 1.6 0.4 52 383 5.30 3.1 35.2 73.2 38.7 0.00 0.03 68.30

Doctors Regions alkcol 88 1307 58.0 0.5 853 132 7.80 48.7 7 0.4 70.0 68.7 42.02

Dolores LW(6/96) 17 933 3.3 2.0 42.3 50.0 45.0 81.22

Dorr Canfield acidcol 20 369 4.2 1.2 44 92 5.30 1.9 44.7 57.4 47.3 0.00 0.03 73.33

Forest LW(6/96) 18 749 6.7 2.3 49.3 48.0 45.8 77.15

Fox LW 93 alkcol 52 1493 36.4 908 128 7.40 56.7 65.9 61.1 0.34 5.50

Gemini S LW(6/96) 57 737 1.0 30.6 62.5

George LW(6/96) 58 1233 43.1 0.7 67.5 65.1 62.7 48.33

George Regions alkcol 79 1393 18.2 0.5 484 226 7.80 47.0 59.1 70.0 67.2 0.00 0.01 51.35

Gobbler Greis (1 acidcol 10 1210 2.6 0.5 53 405 4.10 0.0 40.0 70.0 37.4 2.12 67.00

Goodson Regions acidcol 18 717 21.9 1.4 50 30 5.80 0.7 60.9 55.2 45.8 0.01 0.56 61.84

Gore LW(6/96) 12 659 1.8 0.7 36.4 65.1 40.0 73.87

Grandin 1

- QAQC acidcol 47 715 31.0 0.7 54 35 5.50 0.4 64.3 65.1 59.7 0.00 0.15 50.98

Harney Regions alkcol 40 1027 1.7 0.7 365 106 7.40 45.0 35.8 65.1 57.3 74.33

Harney Canfield alkcol 99 1057 11.8 0.8 1111 103 7.60 47.3 54.8 63.2 70.4 0.01 0.18 60.30

Harriet LW(6/96) 37 683 5.9 1.2 48.0 57.4 56.2 70.60

Horsesho Regions acidcol 19 723 12.3 0.5 76 350 4.50 0.0 55.2 70.0 46.6 0.80 54.50

Jean LW(6/96) 12 578 3.2 2.2 42.0 48.6 40.0 82.57

Jeff ery LW(6/96) 18 689 6.1 1.6 48.3 53.2 45.8 73.68

Jessup Regions alkcol 143 1590 84.8 0.4 412 68 7.50 55.7 74.2 73.2 75.7 0.01 0.04 36.37 84 48

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 60 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Col or pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

Karen LW(6/96) 23 801 12.0 1.3 55.0 56.2 49.4 65.82

Laguna LW(6/96) 46 1545 48.0 0.7 68.6 65.1 59.4 47.46

Lulu Regions acidcol 8 890 10.2 0.8 76 200 5.10 0.0 53.4 63.2 34.1 0.23 61.47

Margaret Canfield acidcol 20 714 7.2 0.7 59 65 4.60 0.3 50.0 65.1 47.3 0.00 0.16 62.72

Margaret LW(6/96) 13 461 4.3 2.1 44.9 49.3 41.1 79.66

Mc Kenzi LW(6/96) 25 762 21.0 2.2 60.5 48.6 50.6 67.44

Mills Regions acidcol 21 620 5.8 1.0 115 100 6.20 2.9 47.8 60.0 48.1 0.01 0.50 68.61

Monroe Canfield alkcol 91 1257 37.4 0.5 907 89 7.70 44.6 66.1 70.0 69.2 45.55

Monroe Regions alkcol 54 1093 5.4 0.5 406 124 7.5 0 43.0 47.1 70.0 61.7 0.00 0.04 61.12

Mud Regions acidcol 14 1163 5.6 1.0 117 141 6.00 3.4 47.5 60.0 42.2 0.09 2.93 68.89

North Ta LW(6/96) 22 1010 17.7 1.3 58.8 56.2 48.7 62.69

Parkview LW(6/96) 68 1130 18.8 0.5 59.4 70.0 65. 0 51.09

Patricia LW(6/96) 10 657 4.7 2.4 45.8 47.4 37.4 80.49

Phyllis LW(6/96) 14 432 1.5 34.6 42.2

Pierson Regions acidcol 42 1033 1.6 0.6 89 421 4.90 0.0 35.2 67.4 58.0 73.02

Poinsett Canfield alkcol 49 11 37 9.5 0.6 842 94 7.70 57.8 52.7 67.4 60.3 0.01 0.19 58.70

Ribbon N LW(6/96) 18 584 6.2 1.8 48.5 51.5 45.8 74.92

Rippling LW(6/96) 33 866 11.1 0.5 54.2 70.0 54.6 55.32

Rose LW(6/96) 54 712 12.9 1.1 55.7 58.6 61.7 63.29

Ruce LW(6/96) 26 591 9.7 1.4 52.9 55.2 51.1 68.39

Ryan LW(6/96) 10 371 4.0 2.0 44.2 50.0 37.4 79.67

Sharon LW(6/96) 40 945 21.8 1.1 60.8 58.6 57.3 59.07

Shaw LW(6/96) 44 1493 46.2 0.4 68.2 73. 2 58.7 41.26

Silver LW 93 acidcol 11 887 15.6 102 30 6.10 1.2 57.6 38.7 0.02 1.34

Silver G LW(6/96) 23 101 1.0 30.6 49.4

South La LW 93 alkcol 38 1720 32.0 613 27 8.50 74.3 64.6 56.6 0.07 0.56

South Ta LW(6/96) 25 1204 24.3 1.3 61.9 56.2 50.6 60.14

Spring G LW 93 alkclr 39 710 5.7 763 5 8.40 120.0 47.7 57.0 0.23 1.46

Spruce C LW(6/96) 165 1102 8.3 51.4 77.8

Suggs Canfiel1 acidcol 66 1249 4.0 0.5 60 400 5.00 2.0 44.2 70.0 64.6 63.53

Tucker LW(6/96) 33 1742 17.1 0.3 58.5 77.3 54.6 45.90

Washingt Canfield alkcol 31 1056 3.4 0.8 428 92 7.80 62.1 42.6 63.2 53.7 0.01 0.10 70.31 19 18

Wynnfiel LW(6/96) 28 668 12.1 1.0 55.1 60.0 52.2 62.70

Yancey LW (6/96) 25 780 12.3 3.9 55.2 40.4 50.6 78.41

Yankee Regions acidcol 20 1067 20.8 0.6 86 211 5.00 0.0 60.4 67.4 47.3 1.76 52.39

(NO NAME EPA

- ELS alkcol 24 2.0 148 85 7.50 15.4 50.0 50.0

Banana LW(6/96) 9 451 4.5 1.4 4 5.4 55.2 35.8 74.57

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 61 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

Bell LW(6/96) 12 573 4.6 1.8 45. 6 51.5 40.0 77.32

Big Regions alkcol 15 637 4.9 1.5 163 105 6.70 12.3 46.2 54.2 43.2 0.08 1.12 74.69

Bingham LW(6/96) 12 886 4.8 1.9 46.0 50.8 40.0 77.61

Broken A LW(6/96) 5 227 1.7 35.8 27.4

Broward Canfield aci dcl75 4 172 1.5 5.7 71 4 5.50 1.4 34.6 34.9 24.1 0.00 0.15 96.74

Butler Regions acidcol 5 700 3.9 1.8 69 63 5.10 0.0 44.0 51.5 27.4 0.65 78.65

Charles LW(6/96) 6 233 2.6 4.0 40.0 40.0 30.0 91.20

Charm Regions alkcol 14 667 1.8 29 8 31 7.30 31.3 36.4 42.2 1.65 15.68

Chuluota Regions alkcol 7 540 4.9 3.2 254 22 7.20 29.0 46.2 43.2 32.2 83.51

Clear 1

- QAQC acidcl75 0 118 1.0 144 1 4.20 0.0 30.6 1.17

Colby Regions alkcol 20 857 15.2 1.1 88 117 6.80 11.0 57.3 58.6 47.3 61.97

Como LW(6/96) 5 162 2.1 3.0 37.9 44.2 27.4 89.57

Crystal Regions alkcol 7 720 4.5 2.3 143 30 7.10 13.0 45.4 48.0 32.2 0.04 0.41 80.35

DOYLE EPA

- ELS acidcol 9 2.8 65 25 4.60 0.0 45.2 35.8

DuPont Summer ' 62 6.50 2.7

East Cry LW(6/96) 12 745 5.1 2.4 46.6 47.4 40.0 79.84

East Twi LW(6/96) 16 1061 7.0 49.7 44.1

Emma LW(6/96) 8 1001 3.0 41.4 34.1

Emporia LW(6/96) 12 747 4.0 2.4 44.2 47 .4 40.0 81.79

English 1

- QAQC alkclr 18 810 10.5 1.6 349 17 7.70 40.8 53.7 53.2 45.8 69.31

Gem LW(6/96) 6 241 2.2 2.7 38.3 45.7 30.0 87.97

Geneva Regions alkcol 9 880 8.6 1.8 87 54 6.60 5.3 51.7 51.5 35.8 0.18 3.00 72.29

Gi ddings Regions acidcol 7 913 7.5 1.7 52 42 5.90 1.6 50.4 52.4 32.2 72.72

Gleason Regions alkcol 13 1013 4.0 2.4 157 33 7.20 38.3 44.2 47.4 41.1 0.42 1.73 81.79

Golden Regions alkcol 124 1300 3.9 1.6 167 27 7.40 13.0 44.0 53.2 73.7 0.29 3.71 77 .27

Harney LW(6/96) 44 1224 13.9 0.9 56.4 61.5 58.7 60.36

Hayes LW(6/96) 34 692 31.5 1.5 64.4 54.2 55.0 59.72

Helen Regions alkclr 25 830 9.8 1.5 165 14 6.90 13.0 53.0 54.2 50.6 69.11

Horsesho Regions acidcol 5 277 2.0 3.2 74 30 5.70 0.5 37.4 43.2 27.4 0.02 3.36 90.71

Hutchens Regions acidcol 4 500 1.9 2.5 70 52 5.20 0.1 36.9 46.8 24.1 0.00 1.79 88.25

Lindley LW(6/96) 14 569 5.4 2.7 47.1 45.7 42.2 80.75

Little M LW(6/96) 10 508 3.3 3.2 42.3 43.2 37.4 86.69

Long LW(6/96) 19 628 8.9 2.2 52.0 48.6 46.6 74.35

Lower Lo Regions alkcol 13 623 2.9 3.3 166 26 6.80 8.9 41.0 42.8 41.1 0.03 0.65 88.08

Marie LW(6/96) 55 1217 33.1 1.2 64.9 57.4 61.9 56.73

Mary LW(6/96) 9 500 2.9 3.0 41.0 44.2 35.8 86.97

Minnie Regions alkcol 13 387 3.8 0.4 159 296 7.10 39.0 43.7 73.2 41.1 1.00 4.08 61.35

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 62 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkal inity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

North Es LW 93 alkclr 5 280 2.7 138 7 6.70 3.5 40.3 27.4

Odom LW(6/96) 11 780 5.5 2.2 47.3 48.6 38.7 78.22

Omega 1

- QAQC alkclr 25 1250 38.2 0.7 301 12 7.80 16.7 66.3 65.1 50.6 49.30

Rice Regions alkcol 20 1053 8.5 1.6 114 52 6.90 20.7 51.6 53.2 47.3 0.46 2.53 71.01

Rock LW(6/96) 9 487 4.5 3.6 45.4 41.5 35.8 85.56

Round LW(6/96) 13 408 6.3 2.5 48.7 46.8 41.1 78.61

Round Regions alkcol 12 513 9.0 1.8 174 60 6.90 21.0 52.2 51.5 40.0 1.75 14.50 71.92

South Es LW(6/96) 7 406 3.2 2.4 42.0 47.4 32.2 83.59

Stella Canfield alkclr 13 458 2.7 4.1 239 12 7.10 15.7 40.3 39.7 41.1 0.05 0.78 91.19

Sylva n Regions acidcol 7 737 4.6 2.6 117 43 5.60 0.7 45.6 46.2 32.2 0.00 0.63 81.60

Tedder LW(6/96) 19 787 7.4 0.7 50.2 65.1 46.6 62.50

Three Is Summer ' acidcol 650 5.7 1.9 64 82 5.70 1.3 47.7 50.8 76.22

West Cry LW(6/96) 13 54 2 5.0 2.2 46.4 48.6 41.1 78.98

Winnemis 1

- QAQC acidcl75 10 418 1.2 2.1 185 5 5.80 0.4 32.4 49.3 37.4 0.00 1.13 89.92

(NO NAME EPA

- ELS alkcol 9 1.2 314 30 8.50 185.1 57.4 35.8

Bellamy Summer ' alkcol 2.6 2.4 113 31 7.40 34.0 40 .0 47.4 85.26

Blue Cov LW(6/96) 168 1763 47.8 1.4 68.5 55.2 78.0 55.57

Croft LW 93 alkclr 9 600 2.2 115 19 7.60 36.0 38.3 35.8

Dodd Summer ' alkcol 12 6.0 2.7 113 29 7.20 34.3 48.2 45.7 40.0 79.90

Floral C Summer ' alkcol 54 1155 34.3 0.9 143 152 7.50 47.2 65.3 61.5 61.7 53.09 47 34

Fort Coo Regions alkcol 19 1380 2.5 257 34 7.70 92.7 39.6 46.6 0.62 1.71

Fred's Regions alkclr 8 1000 0.9 275 17 7.90 97.7 29.6 34.1

Hampton Summer ' alkcol 39 29.4 1.0 134 121 7.30 46.2 63.8 60.0 57.0 55.56

Henderso Summer ' alkcol 35 1083 21.0 1.2 141 107 7.60 47.0 60.5 57.4 55.4 60.39

Hernando Summer ' alkcol 7.0 2.5 130 39 7.70 41.7 49.7 46.8 77.77

Little7 LW(6/96) 17 978 10.1 1 .4 53.3 55.2 45.0 68.07

Magnolia Regions alkcol 17 687 1.6 376 30 7.80 183.0 35.2 45.0 2.86 5.88

MOON EPA

- ELS alkcol 22 1.6 121 50 8.00 49.5 53.2 48.7 0.67 1.64

Spivey Summer ' alkcol 35 1240 37.3 0.9 131 172 7.20 41.7 66.1 61.5 55.4 52.42

Todd Summer ' alkcol 5.6 119 40 7.10 38.7 47.5

Tsala Ap LW(6/96) 22 1118 10.5 1.2 53.7 57.4 48.7 65.96

Tsala A1 Summer ' alkcol 42 30.0 0.7 138 127 7.60 46.7 64.0 65.1 58.0 0.00 0.01 51.24

Tussock LW(6/96 ) 34 986 16.7 0.9 58.2 61.5 55.0 58.88

Van Ness LW 93 alkcol 8 613 2.1 134 24 7.50 45.7 37.9 34.1

Blanton Regions alkcol 63 1277 47.9 1.0 125 162 6.90 16.0 68.6 60.0 63.9 0.13 0.99 51.63

Bonnie Regions alkcol 105 1290 12.5 0. 5 96 106 7.30 38.0 55.4 70.0 71.3 3.17 8.00 54.37

Clear(Pa Canfiel1 alkclr 21 761 21.0 1.3 195 13 8.60 44.9 60.5 56.2 48.1 0.28 1.23 61.32

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 63 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalini ty TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

Dowling Regions alkcol 35 960 31.0 1.3 106 60 6.70 7.2 64.3 56.2 55.4 0.08 1.23 58.19

Geneva Regions alkcol 35 1470 7.4 0.8 114 198 7.10 29.0 50.2 63.2 55.4 0.49 1.93 64.06

Iola Regions alkclr 26 737 19.2 1.8 145 9 8.20 7.1 59.6 51.5 51.1 0.07 1.36 65.83

Keyhole Regions alkcol 1221 1443 93.5 0.8 463 31 8.40 123.3 75.1 63.2 106.6 43.66

Lindsey Canfiel1 alkcol 19 636 6.0 1.9 33 37 6.90 10.2 48.2 50.8 46.6 0.07 0.24 75.81

May Prai Regions acidcol 8 1417 3.4 36 94 4.60 0.0 42.6 34.1 0.65

McKethan Regions acidcol 61 1100 17.4 1.3 49 112 6.50 12.3 58.6 56.2 63.4 0.22 0.86 62.83

Middle Regions alkcol 80 1123 36.1 0.8 148 58 7.30 25.0 65.8 63.2 67.3 0 .12 0.69 51.31

MOODY EPA

- ELS alkcol 26 2.6 168 65 8.10 34.9 46.2 51.1

Mountain Canfiel1 alkcol 37 813 10.0 1.7 113 39 7.30 25.6 53.2 52.4 56.2 0.20 0.89 70.41

Neff Regions acidcol 109 1417 5.1 0.8 92 204 6.50 11.3 46.6 63.2 71.8 0.05 0. 41 67.05

Pasadena Canfiel1 alkclr 15 702 3.0 2.2 131 19 7.80 20.4 41.4 48.6 43.2 0.05 0.35 83.09

Rush Regions acidcol 9 447 2.6 2.2 36 24 5.70 0.7 40.0 48.6 35.8 0.01 0.69 84.24

West Moo Canfiel1 alkclr 14 584 2.0 2.8 127 20 8.10 30.6 37.4 45.2 42.2 0.58 2.40 89.16

Willow P Regions acidcol 17 1110 6.4 1.2 48 86 6.50 9.8 48.8 57.4 45.0 0.75 3.69 69.94

(NO NAME EPA

- ELS alkclr 5 3.7 113 15 7.70 17.9 41.1 27.4

(NO NAME EPA

- ELS alkcol 19 1.5 141 45 7.90 18.7 54.2 46.6

B owers LW(6/96) 10 407 1.6 3.0 35.2 44.2 37.4 91.76

Crystal Regions alkclr 11 1080 5.5 118 15 7.10 11.0 47.3 38.7 0.23 2.51

Lady 1

- QAQC acidcl75 10 553 2.3 0.8 133 7 5.30 0.3 38.8 63.2 37.4 0.00 0.57 73.45

Little11 1

- QAQC alkclr 1 0 903 8.8 2.1 153 9 6.60 4.3 51.9 49.3 37.4 0.01 0.48 73.90

Mathews 1

- QAQC alkclr 12 1135 6.5 1.4 167 11 7.30 38.3 49.0 55.2 40.0 71.61

Myrtle Regions alkclr 7 403 1.1 3.8 149 8 7.30 14.7 31.5 40.8 32.2 0.20 2.01 97.52

PECAN EPA

- ELS acidcl75 5 4.6 37 10 5.20 0.0 38.0 27.4

R. N. Sp Regions acidcol 10 1503 3.9 1.3 76 68 6.10 2.1 44.0 56.2 37.4 74.86

Smith 1

- QAQC acidcl75 8 435 2.3 1.2 84 9 6.10 1.2 38.8 57.4 34.1 0.00 0.23 78.17

Sunset LW(6/96) 25 1522 2.5 3.6 39 .6 41.5 50.6 90.29

Sunset H 1

- QAQC alkclr 10 845 11.8 1.6 162 5 7.10 12.5 54.8 53.2 37.4 68.37

Sunshine LW(6/96) 22 763 1.7 0.3 35.8 77.3 48.7 64.47

Tigerhea Regions alkclr 15 1063 5.4 2.0 178 15 7.10 21.0 47.1 50.0 43.2 0.30 2.54 77.26

Weir Canfield alkclr 12 641 7.4 2.3 136 3 7.10 12.0 50.2 48.0 40.0 0.00 0.02 76.35 18 18

Zephyr LW(6/96) 12 533 3.7 3.4 43.4 42.4 40.0 86.47

(NO NAME EPA

- ELS alkclr 9 3.2 161 20 7.40 9.4 43.2 35.8

(NO NAME EPA

- EL S alkcol 15 1.6 333 25 8.40 32.4 53.2 43.2

Dalhousi Regions alkclr 5 523 3.5 2.8 181 8 6.90 8.5 42.9 45.2 27.4 0.03 0.74 84.66

East Cro 1

- QAQC alkclr 10 790 4.7 3.2 334 4 7.60 48.0 45.8 43.2 37.4 83.84

Eldorado 1

- QAQC alkclr 10 565 2.7 1.6 449 9 7.80 37.7 40.3 53.2 37.4 0.22 2.64 80.23

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 64 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

Frances( Regions alkclr 46 983 19.6 0.7 240 15 8.50 58.0 59.8 65.1 59.4 1.12 4.62 54.67

Gertrude 1

- QAQC alkclr 10 492 3.2 4.5 254 5 7.60 31.2 42.0 38.3 37.4 0.12 1.02 90.65

Island Regions alkclr 6 497 2.6 4.4 334 11 7.80 45.0 40.0 38.7 30.0 0.33 2.47 92.3 1

Joanna LW(6/96) 7 433 2.4 3.9 39.2 40.4 32.2 91.55

Minneola Regions alkclr 7 470 1.5 197 14 7.10 16.0 34.6 32.2 0.01 0.10

Nettie LW(6/96) 13 480 4.4 2.9 45.1 44.7 41.1 83.23

North Tw LW(6/96) 7 437 5.0 46. 4 32.2

Peanut P LW(6/96) 25 724 24.7 1.8 62.1 51.5 50.6 63.80

Pearl Regions alkclr 6 550 5.2 3.3 320 4 7.70 41.3 46.8 42.8 30.0 0.57 4.38 83.39

Saunders Regions alkclr 5 483 0.8 4.9 193 15 7.30 16.0 28.4 37.1 27.4 0.04 0.46 100 .00

South Tw 1

- QAQC alkclr 10 990 6.7 1.9 291 4 7.50 32.0 49.3 50.8 37.4 0.40 3.59 74.92

Tower Regions alkcol 235 563 1.9 3.4 179 26 7.00 12.0 36.9 42.4 82.9 91.83

Woodward 1

- QAQC alkclr 10 525 3.2 2.8 178 7 7.00 18.8 42.0 45.2 37.4 0.21 1. 98 85.38

(NO NAME EPA

- ELS alkcol 30 0.8 543 45 8.50 83.9 63.2 53.2

(NO NAME EPA

- ELS alkclr 12 1.8 399 20 8.60 68.9 51.5 40.0

(NO NAME EPA

- ELS alkcol 28 1.5 497 40 8.50 75.1 54.2 52.2

(NO NAME EPA

- ELS alkcol 42 0.5 432 50 8.60 125.4 70.0 58.0

Angelina LW(6/96) 34 822 19.6 1.9 59.8 50.8 55.0 66.29

Bear Regions alkclr 11 347 4.1 138 15 7.00 6.4 44.4 38.7 0.02 0.45

Bennett LW(6/96) 20 637 7.5 2.4 50.4 47.4 47.3 76.74

Bracy R egions alkcol 10 693 2.3 1.8 127 60 6.70 6.2 38.8 51.5 37.4 0.08 1.69 82.89

Brantley Regions acidcol 13 453 1.5 2.8 109 27 6.00 1.3 34.6 45.2 41.1 0.00 0.41 91.47

Carter Regions alkcol 131 1363 3.7 1.2 208 108 7.10 38.0 43.4 57.4 74.5 4.75 26.00 7 4.35

Cedar Regions alkcol 8 917 2.3 2.0 154 38 7.10 17.0 38.8 50.0 34.1 84.12

Clear Wa Regions alkcol 33 1417 14.2 1.6 263 58 7.50 67.3 56.6 53.2 54.6 66.88

Crooked Regions alkcol 39 980 6.0 1.4 133 81 7.40 39.0 48.2 55.2 57.0 0.45 1.55 72.26

Cypress Regions alkcol 16 730 13.5 1.7 291 21 7.60 39.7 56.1 52.4 44.1 0.61 4.48 67.99

Dream LW(6/96) 17 741 20.4 1.5 60.2 54.2 45.0 63.22

Ella Regions alkcol 13 1047 3.3 1.2 173 97 7.20 23.7 42.3 57.4 41.1 0.05 0.37 75.27

Enola Regions alkcol 4 953 19.1 1.2 215 21 7.70 41.0 59.5 57.4 24.1 0.91 4.78 61.15

Hiawasse 1

- QAQC alkcol 20 593 8.3 2.7 273 26 7.40 33.0 51.4 45.7 47.3 0.17 1.37 77.29

Holly Regions alkcol 17 1020 7.1 1.3 198 75 6.80 9.9 49.8 56.2 45.0 0.10 2.02 70.04

HOLLY EPA

- ELS alkcol 12 2.0 187 55 8.00 20.5 50.0 40.0 0.21 1.91

HOLTS EPA

- ELS alkcol 58 1.1 309 55 8.70 105.2 58.6 62.7 3.19 9.36

Hope LW(6/96) 16 493 5.3 2.1 47.0 49.3 44.1 77.97

Horsesho LW(6/96) 59 1153 40.8 0.7 67.0 65.1 62.9 48.77

Idamere Regions alkclr 9 613 4.2 1.5 272 11 6.80 6.3 44.7 54.2 35.8 0.07 2.92 75.93

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 65 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

Jem Regions alkclr 8 463 2.6 2.3 243 10 7.20 16.0 40.0 48.0 34.1 0.84 12.79 84.76

John's 1

- QAQC alkcol 43 1110 5.8 1.2 259 86 7.00 19.8 47.8 57.4 58.4 0.01 0.11 70.73

Johns Canfield acidcl75 27 579 7.2 1.0 210 18 6.50 4.8 50.0 60.0 51.7 66.87

Lawne Regions alkcol 76 1340 11.4 0.8 233 115 7.60 63.0 54.5 63.2 66.6 0.40 1.49 60.58

Lena Regions alkclr 8 330 2.5 2.6 108 17 6.70 6.2 39.6 46.2 34.1 0.19 3.38 86.50

Little1 LW(6/96) 15 519 5.6 2.8 47.5 45.2 43.2 80.88

Little M 1

- QAQC alkclr 12 673 6.8 2.4 110 8 6.60 5.7 49.4 47.4 40.0 77.52

Lucien LW(6/96) 9 480 1.0 5.8 30.6 34.7 35.8 100.00

Lucy LW(6/96) 20 1151 7.1 1.7 49.8 52.4 47.3 7 3.16

Maggiore Regions alkclr 11 783 2.3 2.2 246 14 7.20 17.0 38.8 48.6 38.7 0.57 8.20 85.23

MARY EPA

- ELS alkcol 43 0.8 330 50 8.30 48.9 63.2 58.4 1.81 12.22

May 1

- QAQC alkcol 20 1087 8.2 1.6 307 25 7.20 32.2 51.2 53.2 47.3 71.30

Metr o We LW(6/96) 16 618 6.9 2.3 49.5 48.0 44.1 76.91

Mirror LW(6/96) 20 797 16.3 1.4 58.0 55.2 47.3 64.22

Moxie LW(6/96) 11 633 7.5 2.6 50.4 46.2 38.7 77.67

North Lo LW(6/96) 71 927 22.5 1.2 61.1 57.4 65.6 59.83

Ola 1

- QAQC alkclr 10 530 1.5 3.7 298 7 7.10 21.7 34.6 41.1 37.4 0.05 0.67 94.72

Olivia LW(6/96) 71 1135 54.5 1.3 69.8 56.2 65.6 53.65

Olympia LW(6/96) 10 683 6.4 2.7 48.8 45.7 37.4 79.38

Orlando 1

- QAQC alkcol 68 1292 56.3 0.8 176 56 7.70 52.2 70.1 63.2 65.0 47.74

Peach LW(6/96) 20 971 15.9 2.2 57.7 48.6 47.3 69.68

PRAIRIE EPA

- ELS alkcol 13 2.5 107 60 7.90 12.4 46.8 41.1 0.34 2.89

Primavis LW(6/96) 36 1457 32.9 1.0 64.9 60. 0 55.8 54.65

Roberts Regions alkcol 68 1177 21.1 1.0 174 183 6.80 20.0 60.5 60.0 65.0 0.21 1.83 58.23

Rose 1

- QAQC alkcol 57 2433 62.2 0.6 241 44 7.90 55.7 71.1 67.4 62.5 0.62 2.68 43.58

Sawyer Regions alkclr 19 1253 29.0 1.0 289 20 7.70 46. 0 63.6 60.0 46.6 0.49 3.11 55.67

Seminary 1

- QAQC acidcl75 10 368 2.3 5.2 186 4 6.30 2.3 38.8 36.2 37.4 0.04 3.38 93.30

Seneca Regions alkcol 33 773 6.3 1.3 122 84 6.70 7.3 48.7 56.2 54.6 0.08 1.27 71.00

Sherwood Regions alkcol 92 720 4.7 2.6 19 1 51 7.20 48.0 45.8 46.2 69.4 0.40 1.61 81.43

Smith Regions alkcol 37 1283 28.3 1.1 253 38 7.50 49.0 63.4 58.6 56.2 0.75 3.89 56.97

South Lo LW(6/96) 82 906 20.3 1.2 60.1 57.4 67.7 60.66

Spring 2 LW(6/96) 8 643 3.5 4.0 42.9 40 .0 34.1 88.81

STANDISH EPA

- ELS alkcol 18 1.4 141 105 7.90 23.3 55.2 45.8 0.47 2.82

Stanley Regions alkcol 48 1047 29.1 1.0 202 34 9.00 48.0 63.7 60.0 60.0 1.09 4.59 55.64

Starke LW(6/96) 30 1057 26.7 1.0 62.8 60.0 53.2 56.33

Susanne Regions alkcol 12 603 8.5 2.5 214 22 7.70 71.0 51.6 46.8 40.0 76.20

Swatara LW 93 alkclr 10 630 21.6 179 20 8.40 20.0 60.7 37.4 0.27 2.42

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 66 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

Three Co Regions alkcol 18 1090 11.0 1.5 132 45 7.20 22.0 54.1 54.2 45.8 68.18

Turkey Regions alkcol 16 580 6.2 2.1 139 54 7.10 20.0 48.5 49.3 44.1 0. 06 0.43 76.71

Umatilla Regions alkcol 24 657 11.4 2.0 231 21 7.60 43.0 54.5 50.0 50.0 0.27 1.43 71.25

Wekiva Regions alkcol 90 1773 55.2 0.6 198 80 8.40 59.0 69.9 67.4 69.0 0.31 1.04 44.55

Wekiva Summer ' alkcol 633 7.4 2.7 160 23 7.80 39.3 50 .2 45.7 78.21

Yvonne LW(6/96) 59 923 42.2 1.2 67.3 57.4 62.9 54.77

Christin LW(6/96) 37 538 20.4 1.6 60.2 53.2 56.2 63.97

Crews Canfield alkcol 13 714 3.6 1.5 76 45 7.20 21.3 43.2 54.2 41.1 0.03 0.11 77.17

Green Re gions alkcol 16 937 6.8 1.6 102 26 6.70 5.5 49.4 53.2 44.1 0.21 3.92 72.80

Hunter LW(6/96) 14 849 4.0 2.0 44.2 50.0 42.2 79.67

Moon Regions alkclr 17 893 8.9 1.3 131 15 7.20 14.0 52.0 56.2 45.0 0.14 1.32 68.22

Pierce Regions acidcol 7 657 2.5 57 25 6.10 2.1 39.6 32.2 0.05 1.46

Sugar Mi Regions alkcol 9 1623 1.1 192 41 7.60 48.3 31.5 35.8

Tooke Regions acidcl75 8 440 1.6 108 8 6.40 1.1 35.2 34.1 0.00 0.46

Big Gant Regions alkcol 46 773 10.5 1.7 351 42 7.60 149 .0 53.7 52.4 59.4 1.60 3.77 70.02

Bugg Spr 1

- QAQC alkclr 83 670 2.8 3.4 271 3 7.60 121.5 40.7 42.4 67.9 88.71

Indian P Regions acidcol 11 2520 11.2 0.9 59 170 6.10 5.9 54.3 61.5 38.7 62.09

(NO NAME EPA

- ELS acidcol 28 0.5 115 45 6.40 0 .8 70.0 52.2

8

- Ball Regions alkcol 11 1083 5.5 121 40 6.80 14.0 47.3 38.7

Avalon Regions acidcol 9 920 3.3 1.7 129 42 6.40 3.9 42.3 52.4 35.8 0.02 0.80 79.32

Big Merr Regions alkcol 20 1107 10.6 0.7 135 90 6.70 5.3 53.8 65.1 47.3 0 .22 5.63 59.61

BOGGY MA EPA

- ELS acidcol 11 0.4 77 250 5.40 0.3 73.2 38.7

Cherry 1

- QAQC acidcl75 10 572 2.7 2.7 100 17 6.30 2.3 40.3 45.7 37.4 0.01 0.25 86.32

Church Regions acidcl75 5 347 2.0 171 8 5.90 0.9 37.4 27.4 0.01 1.20

COO K EPA

- ELS alkcol 16 1.8 95 100 6.80 3.4 51.5 44.1

CR Big LW(6/96) 13 620 7.3 1.6 50.1 53.2 41.1 72.23

CR Small LW(6/96) 17 1048 14.8 0.9 57.0 61.5 45.0 59.85

Crescent Canfield acidcl75 14 412 2.9 3.0 81 15 6.40 4. 4 41.0 44.2 42.2 0.03 0.57 86.97

David Regions alkcol 23 840 9.7 2.2 137 34 7.20 34.0 52.9 48.6 49.4 73.65

Douglas Canfiel1 alkcol 11 1122 2.0 1.5 245 30 7.20 27.1 37.4 54.2 38.7 81.89

Emma 1

- QAQC alkclr 7 527 2.0 3.7 101 15 6.60 3.7 37 .4 41.1 32.2 0.02 0.58 92.40

Florence Regions alkclr 24 1087 17.7 1.5 265 12 8.50 68.0 58.8 54.2 50.0 0.52 2.04 64.36

GLONA EPA

- ELS alkcol 14 1.5 103 105 6.70 3.9 54.2 42.2

Grassy Regions alkclr 6 480 2.2 220 15 6.80 6.3 38.3 30.0 0.0 4 1.41

Hancock Regions alkcol 10 1090 3.6 2.4 168 56 7.10 14.0 43.2 47.4 37.4 0.03 0.37 82.64

Hickoryn LW(6/96) 7 987 1.9 4.0 36.9 40.0 32.2 93.72

Hickory1 LW(6/96) 12 850 3.5 1.1 42.9 58.6 40.0 73.78

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 67 

## APPENDIX 1: (CONT

INUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

Kirkland 1

- QAQC acidcl75 10 418 1.3 1.2 151 7 6.40 2.0 33.2 57.4 37.4 0.01 0.53 82. 76

Little8 LW(6/96) 7 562 1.7 3.9 35.8 40.4 32.2 94.32

Live Oak Regions alkcol 24 1160 20.7 1.0 174 52 7.60 37.3 60.3 60.0 50.0 0.91 4.24 58.38

Long Regions alkcol 13 1043 5.1 1.7 191 69 7.00 22.0 46.6 52.4 41.1 0.18 1.57 75.82

Lo uisa Regions acidcol 22 1557 4.8 0.3 99 447 4.70 0.0 46.0 77.3 48.7 0.03 56.12

Lucy Regions acidcol 10 840 2.3 1.3 112 95 6.40 4.3 38.8 56.2 37.4 0.01 0.33 79.10

Minnehah Regions acidcol 17 1047 5.0 0.8 108 204 5.40 1.0 46.4 63.2 45.0 0.00 0.05 67.21 27 39

Minneola Regions alkcol 14 750 9.2 1.3 122 50 6.70 5.2 52.4 56.2 42.2 0.00 0.06 67.96

Needham Regions alkcol 11 983 2.2 1.8 84 88 6.60 6.1 38.3 51.5 38.7 83.25

North Me Regions alkcol 16 997 3.5 1.0 133 52 6.80 11.0 42.9 60.0 44.1 72.67

OSAGE EPA

- ELS acidcol 17 1.9 49 50 5.60 0.0 50.8 45.0 2.13

Rabbit Regions alkcol 8 757 3.2 2.4 154 50 6.60 10.0 42.0 47.4 34.1 83.59

Spencer 1

- QAQC acidcl75 10 648 2.7 0.5 175 5 5.70 0.4 40.3 70.0 37.4 66.69

SQUARE E PA

- ELS alkcol 15 1.1 150 150 7.90 14.6 58.6 43.2 0.86 8.82

Susan Regions acidcol 21 1537 3.8 0.3 99 471 4.80 0.0 43.7 77.3 48.1 1.22 58.00

Trout Regions alkclr 6 793 1.7 4.6 268 9 8.00 77.0 35.8 38.0 30.0 0.40 1.40 95.73

Turkey Regions ac idcol 10 1360 2.2 1.9 122 78 6.20 2.6 38.3 50.8 37.4 83.88

WILMA ( EPA

- ELS alkclr 12 3.4 107 20 7.30 7.3 42.4 40.0 0.24 3.45

Winona LW(6/96) 11 560 3.9 3.3 44.0 42.8 38.7 85.70

Bessie LW(6/96) 6 386 1.6 5.2 35.2 36.2 30.0 96.22

Blanche Regions alkclr 6 380 2.6 3.6 206 15 7.50 27.0 40.0 41.5 30.0 0.22 1.70 89.98

Butler Regions alkclr 6 517 2.8 3.5 266 7 8.40 26.3 40.7 41.9 30.0 0.02 0.16 89.05

Chase Regions alkclr 7 483 3.1 3.1 195 18 7.20 15.3 41.7 43. 7 32.2 0.11 1.44 86.82

Down Regions alkclr 7 363 2.9 3.5 255 8 7.10 12.3 41.0 41.9 32.2 0.01 0.29 88.77

Floy LW(6/96) 243 1735 66.6 1.2 71.8 57.4 83.4 51.10

Islewort Regions alkclr 10 510 4.2 2.4 217 20 7.20 17.0 44.7 47.4 37.4 8 1.40

Little D Regions alkclr 13 487 6.6 2.2 255 16 7.10 14.7 49.1 48.6 41.1 76.75

Little W LW(6/96) 11 535 4.0 3.6 44.2 41.5 38.7 86.51

Louise Regions alkclr 11 567 6.8 2.1 249 16 7.30 24.0 49.4 49.3 38.7 0.17 1.72 75.97

Marsh a LW 93 alkclr 3.4 129 13 6.90 12.0 42.6

Pocket LW(6/96) 13 530 5.8 2.5 47.8 46.8 41.1 79.28

Sheen LW(6/96) 10 464 2.3 2.6 38.8 46.2 37.4 87.17

Tibet Regions alkclr 7 463 2.4 3.2 194 17 7.20 14.3 39.2 43.2 32.2 0.01 0.16 89.25

Wauseon LW(6/96) 9 516 3.4 4.7 42.6 37.7 35.8 90.16

Willis LW(6/96) 10 501 2.8 3.3 40.7 42.8 37.4 88.37

Adair LW(6/96) 121 1121 62.1 0.8 71.1 63.2 73.3 46.95

Adelaide LW(6/96) 54 1234 57.8 1.0 70.4 60.0 61.7 50.12

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 68 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

Arnold 1

- QAQC alkclr 25 733 2 1.2 1.8 191 8 8.10 16.3 60.6 51.5 50.6 0.60 7.07 65.03

Baldwin Canfiel1 alkclr 21 530 18.3 1.6 179 12 8.10 63.1 59.1 53.2 48.1 64.84 18

Barton LW(6/96) 20 541 14.8 2.0 57.0 50.0 47.3 69.15

Bay 1

- QAQC alkclr 27 962 16.8 1.6 227 19 8.00 50.2 58.3 53.2 51.7 1.22 5.54 65.53

Bell LW(6/96) 21 664 14.5 1.7 56.8 52.4 48.1 67.42

Burkett LW(6/96) 24 741 23.1 1.3 61.4 56.2 50.0 60.55

C 1

- QAQC alkcol 40 855 19.3 1.5 215 28 7.00 45.0 59.6 54.2 57.3 63.66

Cay Dee 1

- QAQC alkclr 25 860 13.8 1.3 136 18 7.70 36.5 56.3 56.2 50.6 5.21 19.43 64.69

Cherokee LW(6/96) 64 1011 47.3 0.8 68.4 63.2 64.1 49.14

Clear 1

- QAQC alkclr 40 1200 38.2 1.0 206 18 8.00 70.0 66.3 60.0 57.3 0.21 0.61 53.45

Conc ord 1

- QAQC alkclr 35 745 30.0 1.3 183 11 7.90 50.8 64.0 56.2 55.4 0.75 2.69 58.45

Conway Canfield alkclr 13 401 4.4 3.7 193 3 7.60 29.2 45.1 41.1 41.1 0.03 0.18 86.06

Cranes R LW(6/96) 33 498 5.5 2.0 47.3 50.0 54.6 77.11

Crystal Canf ield acidcl75 6 118 0.5 8.1 13 0 5.70 1.6 23.8 29.9 30.0 0.27 2.17 100.00

Daniel 1

- QAQC alkclr 35 755 17.5 1.2 195 14 7.80 48.2 58.7 57.4 55.4 61.85

Davis LW(6/96) 164 2177 116.5 0.4 77.3 73.2 77.7 33.82

Dot LW(6/96) 26 754 1 5.9 1.8 57.7 51.5 51.1 67.34

Druid LW(6/96) 39 968 16.9 1.3 58.3 56.2 57.0 63.06

Eola 1

- QAQC alkclr 40 730 37.0 1.3 258 13 8.40 88.7 66.0 56.2 57.3 3.55 10.32 56.76

Estelle 1

- QAQC alkcol 35 687 32.2 1.4 167 21 8.50 47.7 64.7 55.2 55.4 2.17 7.59 58.74

Eulalia LW(6/96) 17 627 4.0 2.7 44.2 45.7 45.0 83.16

Fairview Canfield alkclr 14 446 2.4 4.8 173 5 8.10 52.2 39.2 37.4 42.2 0.13 0.43 92.96

Farrah 1

- QAQC alkclr 22 835 13.7 1.6 267 10 7.90 29.0 56.3 53.2 48. 7 3.63 33.38 67.17

Florida LW(6/96) 71 965 36.6 1.3 65.9 56.2 65.6 56.85

Formosa LW(6/96) 38 761 32.7 1.0 64.8 60.0 56.6 54.70

Fredrica LW 93 alkclr 9 350 2.7 178 7 7.60 26.0 40.3 35.8 0.37 2.51

Fruitwoo LW(6/96) 71 1075 115.8 1.0 77.2 60.0 65.6 44.53

Gatlin LW(6/96) 21 1054 27.6 1.0 63.1 60.0 48.1 56.07

Gem LW(6/96) 51 873 29.7 1.3 63.9 56.2 60.8 58.53

George(B LW(6/96) 15 732 8.2 2.2 51.2 48.6 43.2 75.01

Ge orgia 1

- QAQC acidcl75 18 800 12.3 1.8 191 15 6.30 2.3 55.2 51.5 45.8 0.03 2.33 69.41

Giles 1

- QAQC alkclr 30 723 24.3 1.3 195 14 8.40 33.7 61.9 56.2 53.2 0.91 5.27 60.14

Griffin LW(6/96) 179 1343 36.0 1.4 65.8 55.2 79.0 57.85

Highland 1

- QAQC alkclr 37 592 17.8 1.9 138 14 8.00 30.0 58.8 50.8 56.2 1.03 4.76 67.07

Holden 1

- QAQC alkclr 45 1550 66.5 0.6 256 15 8.40 75.5 71.8 67.4 59.0 0.30 1.02 43.05

Hourglas LW(6/96) 75 1442 85.8 0.6 74.3 67.4 66.4 41.00

Howell LW(6/ 96) 47 914 40.6 1.0 66.9 60.0 59.7 52.96

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 69 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

Irma LW(6/9 6) 35 655 3.8 1.2 43.7 57.4 55.4 74.14

Ivanhoe LW 93 alkclr 23 857 25.4 184 14 9.10 61.0 62.3 49.4 0.49 1.47

Ivanhoe1 LW 93 alkclr 31 650 21.6 176 15 7.80 53.0 60.7 53.7 0.42 1.41

Ivanhoe2 LW 93 alkclr 31 667 19.3 176 15 7.70 51.0 59.6 53.7 0.41 1.41

Jackson LW(6/96) 17 302 2.2 3.4 38.3 42.4 45.0 90.65

Jessamin Canfield alkclr 16 612 4.9 3.4 184 5 7.80 43.6 46.2 42.4 44.1 0.14 0.60 84.21

Jessami1 LW(6/96) 23 1120 28.3 0.9 63.4 61.5 49.4 54.6 4

Jessami2 LW(6/96) 23 781 15.7 1.5 57.6 54.2 49.4 65.32

Killarne Canfiel1 alkclr 21 603 22.0 1.0 193 19 8.40 65.4 60.9 60.0 48.1 0.28 0.81 57.89

La Grang 1

- QAQC alkclr 23 1190 16.8 1.1 250 15 7.80 29.0 58.3 58.6 49.4 61.17

La ncaste LW(6/96) 55 916 35.2 1.1 65.5 58.6 61.9 55.22

Lawsona LW(6/96) 110 1199 38.5 0.9 66.4 61.5 71.9 52.16

Little C LW(6/96) 11 436 4.6 4.1 45.6 39.7 38.7 86.90

Little F 1

- QAQC alkclr 20 663 17.3 1.0 136 13 7 .70 30.0 58.6 60.0 47.3 0.34 1.55 59.82

Lorna Do LW(6/96) 49 810 38.7 1.0 66.5 60.0 60.3 53.35

Lurna 1

- QAQC alkclr 78 667 35.5 1.0 211 19 8.00 64.0 65.6 60.0 67.0 8.00 26.38 54.04

Maitland Canfield alkclr 28 597 9.6 1.9 205 4 7.70 68 .7 52.8 50.8 52.2 0.15 0.45 72.03

Mann LW(6/96) 35 778 17.3 1.2 58.6 57.4 55.4 61.95

Martha LW(6/96) 24 594 14.7 1.7 57.0 52.4 50.0 67.31

Minnehah LW(6/96) 34 761 27.0 1.2 62.9 57.4 55.0 58.37

Nan LW(6/96) 17 447 10.2 1.9 53.4 50.8 45.0 71.54

Noname LW(6/96) 11 458 3.6 2.9 43.2 44.7 38.7 84.84

Orienta Canfiel1 alkclr 25 448 9.0 2.2 114 17 6.80 6.6 52.2 48.6 50.6 0.05 0.88 74.26

Park LW(6/96) 50 654 28.0 1.2 63.3 57.4 6 0.6 58.07

Pearl Canfiel1 alkcol 28 819 21.7 0.9 118 68 7.40 18.8 60.8 61.5 52.2 0.32 2.03 56.77

Pineloch 1

- QAQC alkclr 32 940 33.0 1.0 216 14 7.80 53.5 64.9 60.0 54.1 0.92 3.72 54.63

Porter LW(6/96) 14 485 7.4 2.6 50.2 46.2 42.2 77.78

Prairie LW(6/96) 21 729 10.3 1.9 53.5 50.8 48.1 71.46

Rabama 1

- QAQC alkcol 52 983 29.8 1.2 215 26 7.80 56.5 63.9 57.4 61.1 57.57

Red Bug LW(6/96) 25 664 6.8 1.8 49.4 51.5 50.6 74.17

Richmond LW(6/96) 53 14 08 50.0 0.6 69.0 67.4 61.4 45.34

Rock 1

- QAQC alkclr 22 735 21.8 2.4 148 10 9.30 45.3 60.8 47.4 48.7 1.03 3.36 68.15

Rowena 1

- QAQC alkclr 40 822 30.5 1.2 173 15 8.20 48.8 64.1 57.4 57.3 0.86 3.04 57.38

Santiago LW(6/96) 42 809 42.0 0. 9 67.3 61.5 58.0 51.46

Sarah LW(6/96) 24 721 17.2 1.3 58.5 56.2 50.0 62.92

Shannon 1

- QAQC alkclr 17 710 4.7 2.4 170 10 7.20 28.7 45.8 47.4 45.0 2.39 14.17 80.49

Silver 1

- QAQC alkclr 15 537 20.3 2.4 187 11 8.60 48.2 60.1 47.4 43.2 0.69 2.67 68.73

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 70 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

Spring LW(6/96) 68 1126 53.1 0.9 69 .6 61.5 65.0 49.58

Spring LW(6/96) 43 1666 66.2 0.6 71.7 67.4 58.4 43.08

Susannah 1

- QAQC alkclr 20 748 13.7 2.2 133 13 7.80 30.5 56.3 48.6 47.3 0.40 1.75 70.88

Sybelia LW(6/96) 30 897 21.8 1.4 60.8 55.2 53.2 61.88

T ennesse LW(6/96) 67 836 17.9 1.2 58.9 57.4 64.8 61.67

Underhil Canfield alkclr 51 777 38.2 0.8 183 10 7.80 58.4 66.3 63.2 60.8 0.40 1.24 50.85

Virginia Canfield alkclr 30 519 17.3 1.6 177 3 8.10 56.8 58.6 53.2 53.2 0.25 0.79 65.29

Wa de LW(6/96) 108 1228 57.0 1.1 70.3 58.6 71.7 51.34

Waunatta LW(6/96) 20 434 3.0 2.8 41.4 45.2 47.3 85.90

Weldona LW(6/96) 70 947 31.3 1.0 64.4 60.0 65.4 55.05

Willisar LW(6/96) 45 820 33.2 1.1 65.0 58.6 59.0 55.69

Winyah 1

- QAQC alkcol 70 908 68.5 1.3 163 26 8.50 48.0 72.1 56.2 65.4 2.82 9.59 51.81

Woods LW(6/96) 42 852 42.0 1.1 67.3 58.6 58.0 53.80

(NO NAME EPA

- ELS alkcol 136 0.4 39 80 6.60 3.5 73.2 75.0

Armistea 1

- QA QC alkcol 25 812 16.3 1.3 120 87 6.70 6.4 58.0 56.2 50.6 0.18 3.43 63.36

CLEAR EPA

- ELS alkcol 14 1.9 92 60 7.80 28.0 50.8 42.2 1.40 4.60

Dosson LW(6/96) 38 1319 43.5 0.8 67.6 63.2 56.6 49.81 14 21

GOOSE EPA

- ELS alkcol 11 2.0 39 45 6.80 3.5 50.0 38.7 0.09 1.03

Pretty LW(6/96) 29 807 8.7 1.3 51.8 56.2 52.7 68.41

Tarpon Canfield alkcol 39 635 3.8 1.5 596 50 6.90 15.8 43.7 54.2 57.0 0.01 0.24 76.73

Worrell Regions alkcol 24 1450 9.0 0.9 231 174 7.60 69.3 52.2 61.5 50.0 3.15 10.50 63.85

Alice 1

- QAQC acidcl75 3 135 1.0 137 2 4.60 0.0 30.6 20.0 1.47

Bass 1

- QAQC acidcol 22 817 10.8 1.6 115 27 6.40 7.3 53.9 53.2 48.7 69.08

Calm LW(6/96) 6 221 1.5 3.2 34.6 43.2 30.0 93.03

Church 1

- QAQC alkclr 13 627 3.2 0.7 182 13 6.80 6.7 42.0 65.1 41.1 0.10 2.68 69.24

Crescent Regions acidcol 10 500 1.6 2.5 174 39 5.10 0.0 35.2 46.8 37.4 3.78 89.64

Dead Lad LW 93 alkcol 27 937 20.7 133 75 6.90 10.0 60.3 51.7

Echo LW(6/96) 18 1078 5.7 47.7 45.8

Elizabet LW(6/96) 19 793 9.7 1.4 52.9 55.2 46.6 68.39

Garden LW(6/96) 14 494 4.7 2.0 45.8 50.0 42.2 78.37

Geneva 1

- QAQC alkcol 20 833 11.5 1.9 162 38 6.70 16.0 54.6 50.8 47.3 70.58

G race 1

- QAQC acidcl75 10 483 6.3 0.8 165 9 6.20 2.3 48.7 63.2 37.4 65.35

Halfmoon LW 93 alkclr 13 540 8.4 169 9 6.70 2.4 51.5 41.1 0.08 5.28 11 16

Hiawatha 1

- QAQC acidcol 20 598 14.7 2.3 100 26 6.40 2.5 57.0 48.0 47.3 0.02 0.74 70.83

Holida y 1

- QAQC alkcol 15 1010 19.7 1.3 136 24 6.70 10.2 59.8 56.2 43.2 61.83

Island F Regions acidcl75 7 403 3.2 2.3 122 12 6.30 0.9 42.0 48.0 32.2 0.01 1.27 83.09

Jackson LW(6/96) 11 568 4.1 3.0 44.4 44.2 38.7 84.19

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 71 

## APPENDIX 1: (CONTI NUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

James LW(6/96) 18 754 12.8 2.5 55.6 46.8 45.8 72.91

Jewel LW(6/96) 5 103 1.0 30.6 27.4

Juanita LW(6/96) 11 500 2.3 2.9 38.8 44.7 38.7 88.44

Keystone 1

- QAQC acidcol 12 488 6.7 2.4 100 30 6.30 2.3 49.3 47.4 40.0 0.01 0.24 77.64

Little H Summer ' alkcol 16 693 4.6 248 44 6.80 8.1 45.6 44. 1 0.90 27.56

Little17 LW(6/96) 9 388 1.2 3.6 32.4 41.5 35.8 96.19

Maurine 1

- QAQC alkcol 20 648 4.5 175 30 7.60 11.8 45.4 47.3

Minneola 1

- QAQC alkcol 20 692 6.0 1.7 162 26 6.70 16.0 48.2 52.4 47.3 74.52

Mound LW(6/96) 7 345 1.9 4.5 36.9 38.3 32.2 94.84

Osceola Regions acidcl75 5 413 0.6 224 7 5.90 0.7 25.6 27.4 0.01 3.50

Parker 1

- QAQC alkclr 15 680 9.7 1.7 139 15 6.70 9.0 52.9 52.4 43.2 0.10 1.49 70.65

Rainbow LW(6/96) 7 312 1.9 2.6 36.9 46.2 32.2 88.71

Seminole Summer ' alkcol 633 1.8 139 35 7.10 7.6 51.5

Sunset Regions alkcol 13 660 9.2 1.5 203 33 7.40 34.0 52.4 54.2 41.1 0.92 5.49 69.62

Taylor LW(6/96) 14 656 9.9 1.7 53.1 52.4 42.2 70.49

Wastena L W(6/96) 12 500 2.7 3.7 40.3 41.1 40.0 89.99

Wood LW(6/96) 8 305 1.6 4.2 35.2 39.3 34.1 95.67

Bell(Pas Canfiel1 alkcol 17 641 20.0 1.5 116 21 7.60 13.3 60.0 54.2 45.0 0.17 1.45 63.38

Brant 1

- QAQC alkcol 25 917 15.3 1.5 168 24 7.00 23.0 57.4 54.2 50.6 0.38 2.80 65.53

Carroll LW(6/96) 10 427 3.0 3.7 41.4 41.1 37.4 89.14

Carroll1 LW(6/96) 13 487 3.0 3.5 41.4 41.9 41.1 88.50

Catfish Regions alkcol 25 930 7.6 1.9 197 35 7.00 16.7 50.5 50.8 50.6 0.73 8.57 73.91

Chapman LW(6/96) 26 1103 10.3 1.5 53.5 54.2 51.1 68.71

Crenshaw 1

- QAQC alkcol 23 885 26.2 1.1 56 58 6.60 6.5 62.6 58.6 49.4 57.59

Deer LW(6/96) 11 613 6.4 2.1 48.8 49.3 38.7 76.46

Dog Leg Regions aci dcol 9 737 4.2 1.3 104 93 6.10 2.1 44.7 56.2 35.8 74.26

East LW(6/96) 21 739 10.3 1.9 53.5 50.8 48.1 71.46

Egypt LW 93 alkclr 21 780 18.1 257 12 7.60 62.7 59.0 48.1 0.94 3.84

Floyd 1

- QAQC alkcol 12 922 2.2 0.9 158 26 6.90 29. 5 38.3 61.5 40.0 75.18

Gass Regions alkclr 6 557 2.6 3.4 126 19 7.30 30.0 40.0 42.4 30.0 0.91 3.82 89.31

Hobbs LW(6/96) 6 260 1.3 4.0 33.2 40.0 30.0 96.78

Joyce LW(6/96) 19 746 6.1 2.3 48.3 48.0 46.6 77.90

Keene LW( 6/96) 40 1355 26.6 1.1 62.8 58.6 57.3 57.47

King LW(6/96) 12 948 6.0 48.2 40.0

Linda Regions alkclr 11 973 4.8 3.9 209 19 7.60 34.7 46.0 40.4 38.7 8.68 52.25 85.98

Little E LW(6/96) 21 773 12.5 1.8 55.4 51.5 48. 1 69.28

Little89 1

- QAQC acidcol 35 1177 13.2 1.3 150 77 6.30 4.2 55.9 56.2 55.4 0.18 6.25 65.05

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 72 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

Little V LW(6/96) 13 725 5.3 2.3 47.0 48.0 41.1 79.03

Magdalen LW(6/96) 11 643 3.7 3.3 43.4 42.8 38.7 86.13

Margarin Regions alkcol 19 763 12.0 1.5 187 21 7.30 22.7 55.0 54.2 46.6 6 7.48

North Cr Regions alkclr 6 470 1.3 234 12 7.90 60.7 33.2 30.0

Padgett Canfield alkclr 14 531 2.4 3.6 134 15 7.40 23.0 39.2 41.5 42.2 0.12 0.67 90.62

Padgett1 LW(6/96) 18 731 5.3 2.6 47.0 46.2 45.8 80.46

Platt Regions al kcol 9 497 2.0 3.5 112 32 7.40 20.0 37.4 41.9 35.8 0.32 1.78 91.76

Saddleba LW 93 alkclr 14 483 6.3 218 14 8.10 93.7 48.7 42.2 2.84 6.61

Saddleb1 LW 93 alkclr 12 477 6.0 201 12 8.40 84.7 48.2 40.0 2.57 6.09

Saddleb1 LW(6/96) 12 483 6. 0 48.2 40.0

Saxon No LW(6/96) 14 617 3.0 4.0 41.4 40.0 42.2 90.05

Saxon So LW(6/96) 15 635 4.3 3.4 44.9 42.4 43.2 85.26

Snake LW(6/96) 10 714 1.9 36.9 37.4

Stemper Regions alkclr 42 1960 35.0 0 .5 194 18 7.50 29.0 65.5 70.0 58.0 0.23 1.54 46.09

THOMAS EPA

- ELS alkclr 15 2.9 126 20 6.80 3.5 44.7 43.2 0.06 2.07

Treasure LW(6/96) 7 497 2.3 3.9 38.8 40.4 32.2 91.89

Twin Regions alkcol 28 1123 19.5 248 46 7.20 56.3 59.7 52. 2 2.01 8.86

Virginia Regions alkcol 33 1533 26.0 0.8 231 28 7.00 9.2 62.6 63.2 54.6 0.44 11.00 53.95

Wilson LW(6/96) 13 764 9.1 2.6 52.3 46.2 41.1 76.11

(NO NAME EPA

- ELS alkcol 29 1.3 91 105 7.10 7.1 56.2 52.7

Ten Mile LW (6/96) 40 1094 42.6 0.9 67.4 61.5 57.3 51.35

Thonotos Canfield alkcol 834 1452 66.8 0.7 214 82 8.30 47.9 71.8 65.1 101.1 0.06 0.26 44.81

Mill Str LW(6/96) 46 1346 33.2 65.0 59.4

Alligato Canfield acidcol 15 570 4.0 1.6 105 47 5.80 2.2 44.2 53.2 43.2 0.00 0.03 77.07

Brick LW(6/96) 16 933 5.6 0.6 47.5 67.4 44.1 62.95

BULLOCK EPA

- ELS acidcol 14 0.4 81 300 4.50 0.0 73.2 42.2 1.11

Cecile LW(6/96) 15 513 8.6 2.0 51.7 50.0 43.2 73.51

Center LW 93 acidcol 84 1280 11.4 116 289 5.60 1.2 54.5 68.0 0.00 0.28

Coon LW 93 acidcol 63 1110 11.3 101 217 5.80 1.6 54.4 63.9 0.01 0.68

Davenpo1 Summer ' 930 8.2 90 6.80 7.4 51.2 0.04 0.51

East Toh Canfield acidcol 24 643 8. 6 1.5 96 32 6.10 3.1 51.7 54.2 50.0 0.00 0.01 70.16

Gentry Regions acidcol 18 620 4.5 1.1 146 65 6.50 2.7 45.4 58.6 45.8 0.00 0.08 71.76

Hancock Regions acidcol 14 833 6.4 1.1 60 120 5.00 0.0 48.8 58.6 42.2 0.16 68.93

Hart Canfield acidcol 19 1112 4.2 0.6 90 183 5.90 4.1 44.7 67.4 46.6 0.00 0.05 65.26

Hucklebe Regions acidcol 11 860 1.6 2.0 152 61 6.30 2.5 35.2 50.0 38.7 0.02 1.35 87.04

LITTLE F EPA

- ELS acidcol 17 0.7 139 150 5.10 0.0 65.1 45.0

Live oak Canfiel1 alkcol 13 3 89 9.0 2.6 132 22 7.10 11.5 52.2 46.2 41.1 0.03 0.35 76.20

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 73 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

Lizzi e 1

- QAQC acidcol 17 827 4.2 1.4 106 106 6.10 2.0 44.7 55.2 45.0 0.00 0.13 75.12

Mary Jan Canfield acidcol 18 1250 9.2 0.5 84 225 5.60 3.2 52.4 70.0 45.8 0.00 0.07 56.83

Oliver Regions acidcol 10 647 4.9 1.0 56 139 4.70 0.0 46.2 60.0 37.4 1.08 69 .97

REEDY EPA

- ELS acidcol 57 0.3 110 225 5.60 0.5 77.3 62.5

Trout LW 93 acidcol 26 943 10.8 88 132 6.10 2.3 53.9 51.1 0.01 0.32

Cliff St LW(6/96) 101 896 44.4 1.3 67.8 56.2 70.7 55.30

Harbor LW(6/96) 14 545 4.3 3.2 44.9 43.2 42.2 84.56

Loch Hav LW(6/96) 89 1709 50.0 1.0 69.0 60.0 68.9 51.29

Maggiore Canfield alkcol 76 2330 66.7 0.3 1008 32 8.60 109.9 71.8 77.3 66.6 0.29 2.65 34.95

Mocassin LW(6/96) 85 1032 48.2 0.8 68.6 63.2 68.2 48.98

Seminol1 Canfield alkcol 122 1880 64.9 0.3 404 27 8.80 90.4 71.5 77.3 73.4 35.17 82 62

Banana Regions alkcol 639 1593 89.4 0.6 178 34 8.50 62.0 74.7 67.4 97.3 0.18 0.52 40.67

Banana P Regions alkcol 674 1783 76.7 1.0 197 37 7.30 66 .0 73.2 60.0 98.1 0.19 0.58 47.85

Big Bass LW 93 alkcol 442 2465 136.0 160 35 9.70 23.0 78.8 92.0

Boca Cov LW 93 alkcol 449 2807 252.0 152 24 9.30 23.0 84.8 92.2

Bonny Canfiel1 alkcol 59 1858 40.0 0.6 255 33 7.80 53.2 66.8 67.4 62 .9 0.15 0.72 47.14 32 43

Bonny Regions alkcol 99 1783 90.7 0.6 121 32 7.40 36.0 74.8 67.4 70.4 0.10 0.34 40.55 32 43

Christi1 Regions alkclr 130 1537 80.4 0.8 250 15 8.00 68.3 73.6 63.2 74.3 44.87

Fauna LW(6/96) 94 1277 54.9 1.0 69.9 60. 0 69.7 50.54

Flora LW 93 alkcol 331 2117 102.8 151 23 9.10 24.0 76.0 87.8 0.92 5.81

Ft. Mead Regions alkclr 357 1847 78.9 1.0 170 18 7.80 92.0 73.5 60.0 88.9 47.62

Gaskin's LW 93 alkcol 379 2233 110.4 162 29 9.80 22.7 76.7 89.8

Hollings Canfiel1 alkclr 113 2517 135.0 0.3 163 16 8.80 50.8 78.7 77.3 72.3 0.14 0.46 29.28 29 72

Homeland Regions alkclr 965 4493 149.5 0.5 408 16 8.00 143.7 79.7 70.0 103.2 34.41

Hunter Regions alkclr 117 1843 86.5 0.7 101 17 7.50 33.0 74 .4 65.1 72.8 0.33 1.01 42.73

Little B LW 93 alkcol 552 3260 242.0 160 40 9.70 23.0 84.4 95.2

Mulberry Regions alkcol 954 1540 41.5 1.0 263 30 7.40 67.3 67.1 60.0 103.1 52.79

Parker Regions alkcol 170 2283 137.9 0.5 142 27 7.70 38.0 7 8.9 70.0 78.2 0.02 0.06 35.06 32 48

Saddle C Regions alkcol 143 1677 91.5 0.8 175 28 7.50 53.3 74.9 63.2 75.7 43.83

Agnes Regions alkcol 38 703 22.9 0.9 178 24 6.60 3.2 61.3 61.5 56.6 0.01 0.46 56.34

Alfred Regions alkcol 28 1923 40.2 0.7 356 27 7.40 63.0 66.8 65.1 52.2 0.09 0.48 48.89

Ariana Regions alkclr 22 860 31.1 1.0 260 10 7.80 34.0 64.3 60.0 48.7 0.03 0.25 55.11

Arietta Canfield alkclr 16 358 7.6 2.9 199 8 7.00 6.3 50.5 44.7 44.1 0.01 0.26 78.83

Bess Regions alkclr 15 597 7 .1 1.8 368 16 7.70 33.0 49.8 51.5 43.2 0.22 2.49 73.83

Blue 2 LW(6/96) 84 1728 55.5 0.6 70.0 67.4 68.0 44.50

Buckeye Regions alkclr 30 727 23.9 0.9 331 11 8.70 73.3 61.7 61.5 53.2 1.03 4.66 56.00

Cannon LW(6/96) 51 1148 41.7 0.8 67.2 63.2 60.8 50.15

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 74 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

Conine 1

- QAQC alkcol 470 1900 85.8 0.5 331 47 8.60 65.8 74.3 70.0 92.9 0.28 1.40 38.88 26 42

Deer Regions alkclr 40 1857 63.1 0.6 191 19 8.00 40.3 71.3 67.4 57.3 0.32 1.53 43.47

Dexter LW(6/96) 8 458 2.7 3.7 40.3 41.1 34.1 89.99

Eagle Regions alkclr 11 640 7.2 2.0 296 1 0 7.50 28.0 50.0 50.0 38.7 0.04 0.45 74.94

Elbert LW 93 alkclr 12 553 3.0 182 9 7.90 33.0 41.4 40.0 0.19 1.05

Eloise LW(6/96) 36 1283 42.9 0.9 67.5 61.5 55.8 51.29

Fannie 1

- QAQC alkcol 67 1327 25.8 0.4 383 57 7.80 34.2 62.5 73.2 6 4.8 0.04 0.46 45.94

Hartridg Canfiel1 alkclr 11 485 4.0 2.3 217 12 7.80 37.6 44.2 48.0 38.7 0.09 0.50 81.30 29 45

HELENE EPA

- ELS alkclr 13 2.5 174 20 7.50 13.1 46.8 41.1 0.21 2.81

Henry Regions alkcol 22 927 9.0 1.8 346 23 7.80 87.0 52.2 51.5 48.7 0.82 3.26 71.92

Howard Canfield alkcol 52 1997 104.6 0.3 164 27 9.00 41.2 76.2 77.3 61.1 0.07 0.26 31.34 30 47

Idylwild LW(6/96) 30 961 33.3 1.1 65.0 58.6 53.2 55.67

Jessie LW(6/96) 79 1182 36.4 0.8 65.9 63.2 67.2 51.2 4

Link LW(6/96) 26 688 21.8 1.4 60.8 55.2 51.1 61.88

Little13 LW(6/96) 25 978 32.4 1.1 64.7 58.6 50.6 55.89

Little18 LW(6/96) 19 710 15.1 1.7 57.2 52.4 46.6 67.09

Little19 LW 93 alkcol 23 703 4.6 297 27 7.3 0 31.0 45.6 49.4

Little20 LW(6/96) 20 867 18.7 1.2 59.3 57.4 47.3 61.32

Lucerne 1

- QAQC alkclr 10 437 1.5 1.6 192 12 6.90 9.6 34.6 53.2 37.4 0.23 4.57 84.96 5 4

Lulu LW 93 alkcol 54 1260 32.0 260 22 8.80 61.0 64.6 61.7 0.20 0.86 30 57

Marianna Canfiel1 alkclr 26 1054 21.0 1.3 299 16 7.90 59.4 60.5 56.2 51.1 61.32 25 38

Maude LW(6/96) 39 658 12.8 2.0 55.6 50.0 57.0 70.31

May LW(6/96) 70 1602 54.1 0.8 69.8 63.2 65.4 48.06 35 48

Mirror LW(6/96) 34 1297 39.4 0.8 66.6 63.2 55.0 50.61

Otis LW(6/96) 26 593 16.6 2.8 58.2 45.2 51.1 72.14

Pansy LW 93 alkcol 27 870 23.2 147 49 7.90 22.0 61.4 51.7 0.44 2.94

Roy LW(6/96) 22 787 14.7 1.6 57.0 53.2 48.7 66.60

Ruby Regions alkclr 23 1907 60.3 0.4 417 12 8.10 49.7 70.8 73.2 49.4 0.19 1.64 39.11

Shipp LW(6/96) 61 1713 68.2 0.6 72.0 67.4 63.4 42.84 57 74

Silver LW(6/96) 19 740 21.8 1.6 60.8 53.2 46.6 63.43

Smart 1

- QAQC alkcol 173 1 950 63.5 0.4 369 37 8.70 77.7 71.3 73.2 78.5 0.28 1.34 38.70

Spirit LW 93 alkclr 22 620 12.6 307 8 7.80 32.0 55.5 48.7 0.14 1.37

Spring LW(6/96) 29 716 15.2 1.8 57.3 51.5 52.7 67.71

Star Regions 26.2 1.1 22 62.6 58.6 57.59

Summit LW(6/96) 36 947 26.5 1.1 62.7 58.6 55.8 57.50

Tennesse Regions alkclr 32 1593 55.4 0.6 275 18 7.70 41.0 70.0 67.4 54.1 0.37 2.46 44.52

Thomas Canfiel1 alkcol 22 759 10.0 1.8 169 23 7.60 46.6 53.2 51.5 48.7 0.64 2.32 71.0 7

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 75 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

(NO NAME EPA

- ELS acidcol 13 1.8 79 40 6.00 0.2 51.5 41.1 0 .00 0.29

Annie LW(6/96) 22 1258 17.0 1.4 58.4 55.2 48.7 63.88

Clinch Summer ' alkcol 19 517 7.4 2.4 139 24 6.90 3.9 50.2 47.4 46.6 0.00 0.12 76.84

Crooked Regions acidcl75 7 367 6.0 2.1 94 11 6.50 1.3 48.2 49.3 32.2 0.00 0.02 76.98

Davenpor Summer ' acidcol 39 1085 4.4 111 97 6.30 13.7 45.1 57.0 0.21 1.71

Gate Lak Canfiel1 alkclr 28 407 20.0 1.1 282 6 8.20 130.6 60.0 58.6 52.2 59.77

Ida Regions alkclr 10 5503 14.8 301 7 8.90 35.0 57.0 37.4 0.42 3.63

Little G Regions alkclr 5 5970 2.8 3.1 356 6 7.90 46.0 40.7 43.7 27.4 87.64

Little15 LW(6/96) 32 660 19.2 1.0 59.6 60.0 54.1 58.98

Mabel LW(6/96) 17 983 26.0 0.9 62.6 61.5 45.0 55.32

Moody Regions alkclr 16 2140 52.3 0.5 425 9 8.50 70.0 69.4 70.0 44.1 0.18 1.09 42.86

Mountai1 Canfiel1 alkclr 17 331 2.0 2.4 201 7 7.90 82.3 37.4 47.4 45.0 0.60 1.47 87.37

North Bl LW(6/96) 3 4301 1.5 7.5 34.6 31.0 20.0 96.74

Parks Regions alkclr 5 623 3.7 192 16 7.60 25.0 4 3.4 27.4 0.25 1.92

Reedy Regions alkclr 15 1047 29.7 0.9 237 8 7.90 46.0 63.9 61.5 43.2 0.01 0.07 54.25

SADDLEBA EPA

- ELS alkclr 8 3.4 132 15 7.70 16.8 42.4 34.1 0.06 0.46

Silver Regions alkclr 21 1830 13.0 380 7 8.70 50.0 55.8 48.1 0.38 2.92

South Bl LW(6/96) 5 1552 2.7 5.2 40.3 36.2 27.4 92.01

Tracy Regions alkclr 23 740 8.9 2.1 190 18 7.50 63.0 52.0 49.3 49.4 0.46 1.40 73.80

Wales Canfiel1 alkclr 27 899 42.0 0.8 118 10 8.70 25.6 67.3 63.2 51.7 0.08 0.36 50.09

ANGELO EPA

- ELS acidcl75 7 3.4 197 5 5.80 0.0 42.4 32.2

Annie Summer ' acidcl75 4 315 42 9 6.30 0.0 24.1 0.49

ANOKA EPA

- ELS alkclr 6 5.0 138 10 8.20 26.2 36.8 30.0

August LW(6/96) 126 961 2.8 0.8 40.7 63.2 73.9 71.87

BASKET EPA

- ELS alkclr 3 5.8 333 5 7.70 22.8 34.7 20.0

Blue LW(6/96) 11 596 4.8 3.1 46.0 43.7 38.7 83.30

BRENTWOO EPA

- ELS alkclr 6 5.6 260 10 7.70 18.2 35.2 30.0

Byrd Summer ' alkclr 3 4803 1.1 5.6 276 6 7. 20 9.2 31.5 35.2 20.0 0.19 5.63 99.23

CENTER EPA

- ELS alkclr 8 1.6 318 15 8.10 26.1 53.2 34.1

Chilton LW(6/96) 21 580 7.6 2.0 50.5 50.0 48.1 74.51

Clay Regions alkclr 9 377 3.9 3.0 164 8 7.00 4.7 44.0 44.2 35.8 0.01 0.45 84.59

DAMON EPA

- ELS acidcl75 9 2.9 223 10 5.70 0.0 44.7 35.8

DEER EPA

- ELS alkclr 12 3.4 158 20 7.80 23.6 42.4 40.0

Denton LW(6/96) 4 3502 1.8 7.2 36.4 31.6 24.1 95.27

Dinner Canfield alkclr 9 456 4.1 2.9 175 3 8.20 37. 1 44.4 44.7 35.8 0.10 0.46 83.80

Eagle Po LW(6/96) 7 943 4.8 2.0 46.0 50.0 32.2 78.20

Francis Summer ' acidcl75 477 6.9 1.8 151 5 6.30 1.9 49.5 51.5 0.00 0.28 74.06 67 45

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 76 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chloroph yll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

Grassy Regions alkclr 6 550 2.5 2.7 152 9 7.30 15.0 39.6 45.7 30.0 0.03 0.29 86.94

Henry Summer ' alkclr 437 4.7 148 13 6.9 0 4.6 45.8 0.07 2.31

Hill Summer ' acidcl75 383 5.5 1.6 50 13 5.60 0.3 47.3 53.2 0.00 0.71 74.51

Huntley Regions acidcl75 19 427 6.9 1.7 154 16 6.20 1.3 49.5 52.4 46.6 0.00 0.23 73.39

Isis LW(6/96) 8 3583 2.0 6.9 37.4 32.2 34.1 94.43

Jackson Canfield acidcl75 14 271 2.6 2.8 87 6 6.00 3.4 40.0 45.2 42.2 0.00 0.03 87.05

June Summer ' alkclr 17 567 10.7 161 9 7.00 5.6 53.9 45.0 0.00 0.05

Lillian LW(6/96) 9 512 5.7 3.1 47.7 43.7 35.8 81.92

Little J Summer ' alkcol 38 1120 34.8 0.9 148 28 7.20 14.3 65.4 61.5 56.6 52.98 28 54

Lotela Canfield alkclr 17 334 2.5 2.6 97 6 7.30 14.3 39.6 46.2 45.0 0.02 0.12 86.50

McCoy Summer ' alkclr 6 1023 1.6 5.3 193 2 7.80 22.0 35.2 36.0 30.0 0.39 3.45 96.22

Mir ror Summer ' acidcl75 7 387 5.7 100 6 5.90 0.5 34.9 32.2 0.01 1.03

NORTHWES EPA

- ELS alkclr 8 2.0 309 10 7.60 22.4 50.0 34.1

Olivia LW(6/96) 11 481 3.6 3.1 43.2 43.7 38.7 85.62

Pearl LW(6/96) 4 746 1.6 6.2 35.2 33.7 24.1 96.22

PIONEER EPA

- ELS alkclr 5 3.7 244 10 7.40 11.2 41.1 27.4

Placid Canfield alkclr 13 544 6.2 2.2 58 7 6.60 4.0 48.5 48.6 41.1 0.00 0.02 77.25

PYTHIAS EPA

- ELS acidcl75 14 1.7 168 15 5.70 0.0 52.4 42.2

Rachard Summ er ' alkclr 25 820 23.0 1.2 211 7 9.40 36.8 61.4 57.4 50.6 59.65

Saddleb2 Regions alkclr 6 1133 2.8 351 5 7.40 22.0 40.7 30.0 0.96 15.26

SILVER EPA

- ELS acidcl75 4 4.9 36 5 5.00 0.0 37.1 24.1

SIMMONS EPA

- ELS alkclr 2 5.8 367 5 8.20 27.6 34.7 14.1

Sirena LW(6/96) 5 500 3.6 4.0 43.2 40.0 27.4 88.58

SOUTHEAS EPA

- ELS alkclr 5 1.8 367 15 8.30 27.8 51.5 27.4

Trout Summer ' acidcl75 12 517 3.3 3.1 128 14 6.30 1.9 42.3 43.7 40.0 86.32

Tulane R egions alkclr 5 410 2.6 4.1 135 4 7.40 21.7 40.0 39.7 27.4 0.24 1.52 91.49

Verona Regions alkclr 8 233 2.0 4.0 109 9 7.70 27.0 37.4 40.0 34.1 93.31

VIOLA EPA

- ELS alkclr 5 3.7 217 10 8.10 22.5 41.1 27.4

(NO NAME EPA

- ELS acidcl75 0 3.4 56 5 4.40 0.0 42.4

Adelaide LW(6/96) 11 517 5.3 1.9 47.0 50.8 38.7 76.81

Apthorpe LW(6/96) 10 1662 10.2 2.0 53.4 50.0 37.4 72.14

BLUE EPA

- ELS acidcol 8 1.4 82 30 5.70 0.0 55.2 34.1 2.34

BONNET EPA

- ELS alkcol 40 0.8 245 40 7.80 22.5 63.2 57.3

Buffum Regions acidcol 26 413 10.9 1.0 174 21 5.70 0.4 54.0 60.0 51.1 0.00 0.11 63.54

Carrie Summer ' alkcol 703 15.1 0.9 79 112 6.90 10.7 57.2 61.5 0.16 1.22 59.69

Charlott Summer ' acidcol 377 5.7 1.3 73 43 5.20 0.0 47.7 56.2 0.36 71.81

Crews LW(6/96) 15 423 4.6 1.6 45.6 53.2 43.2 75.95

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 77 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP M EIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

Diane Summer ' acidcol 65 188 6.40 7.5

Glenada Regions alkcol 100 1067 45.2 0.9 206 51 8.20 34.0 68.0 61.5 70.6 0.19 1.16 50.87

Hill LW(6/96) 8 280 4.4 2.2 45.1 48.6 34.1 80.01

HOG EPA

- ELS alkcol 14 1.1 215 45 8.60 96.0 58.6 42.2 3.10 6.94

Hucklebe Summer ' alkcol 88 115 6.60 4.1 0.03 0.74

Josephin Canfield acidcol 24 518 10.8 0.8 83 52 5.60 2.6 53.9 63.2 50.0 0.00 0.07 61.01

Josephi1 Regions alkc ol 43 890 29.6 0.8 98 58 6.60 3.1 63.8 63.2 58.4 0.00 0.08 52.91

Josephi2 Regions alkcol 46 857 22.7 0.9 82 75 6.60 5.1 61.2 61.5 59.4 0.00 0.07 56.41

Josephi3 Regions acidcol 66 893 22.8 0.9 83 108 6.40 4.7 61.3 61.5 64.6 0.00 0.07 56.38

Lelia Regions alkclr 16 810 20.1 1.0 184 17 7.90 26.0 60.0 60.0 44.1 0.16 1.12 58.62

LETTA EPA

- ELS alkclr 19 1.1 166 15 6.80 2.8 58.6 46.6

Little2 Regions alkcol 17 1770 34.5 0.6 245 23 7.60 26.0 65.3 67.4 45.0 48.33

Little J LW(6/96) 52 1029 40.3 1.1 66.9 58.6 61.1 54.13 28 54

Little R Canfield acidcol 34 474 16.3 0.7 50 28 5.80 2.0 58.0 65.1 55.0 56.15

Lizzie Regions alkcol 16 723 7.2 1.7 120 25 6.60 5.8 50.0 52.4 44.1 0.06 1.26 73.05

Marion Regions alkcol 14 8 03 6.1 160 57 7.80 34.7 48.3 42.2 0.01 0.05

Patrick Regions alkclr 7 2893 4.4 2.4 325 11 7.80 38.7 45.1 47.4 32.2 81.02

Persimmo Summer ' alkcol 2940 75.3 0.2 346 21 8.90 36.3 73.0 83.2 1.21 11.53 29.26

Pierce Regions alkcol 31 960 18. 2 1.3 152 38 7.60 32.0 59.1 56.2 53.7 0.01 0.04 62.47

Red Beac Canfield alkcol 16 448 9.9 1.1 59 31 6.70 4.6 53.1 58.6 44.1 0.01 0.18 65.42

Redwater Summer ' alkclr 910 28.0 0.5 261 13 8.70 28.3 63.3 70.0 0.43 3.95 47.88

RUTH EPA

- ELS acidcol 35 1.6 50 65 5.00 0.0 53.2 55.4

Sebring Canfield acidcol 112 690 5.9 0.4 54 133 5.80 2.4 48.0 73.2 72.2 0.01 0.12 57.81

Wolf Regions acidcol 148 977 11.3 0.6 77 250 5.20 0.3 54.4 67.4 76.2 0.00 0.63 57.30

Arbuckle Canfield alkcol 49 847 19.0 0.8 108 112 7.00 10.2 59.5 63.2 60.3 0.00 0.03 56.47

Cypress Regions alkcol 48 1230 11.8 0.6 120 191 7.20 17.7 54.8 67.4 60.0 0.00 0.03 56.95

Fish Canfiel1 alkcol 25 935 18.0 1.0 187 43 7.60 25.9 59.0 60.0 50.6 0.12 0.85 59.50

Hatchine Reg ions alkcol 17 1087 1.6 0.7 126 216 7.80 31.0 35.2 65.1 45.0 0.00 0.02 74.82

Istokpog Regions alkcol 57 1063 5.7 0.6 118 193 6.90 9.9 47.7 67.4 62.5 0.00 0.00 62.81

Jackson Regions alkcol 120 1063 10.3 1.0 101 91 7.00 21.7 53.5 60.0 73.2 0.02 0.10 63.99

Kissimme Canfield alkcol 42 1276 29.2 0.7 118 53 8.50 22.4 63.7 65.1 58.0 0.00 0.00 51.46

Marian Regions alkcol 146 1263 43.9 0.6 102 93 7.30 21.0 67.7 67.4 76.0 0.00 0.02 46.39

Okeechob Canfield alkcol 105 1111 14.8 0.5 443 47 8.50 100. 3 57.0 70.0 71.3 0.00 0.00 53.01

Rosalie Regions alkcol 38 783 13.6 1.2 111 78 7.20 14.7 56.2 57.4 56.6 0.00 0.02 63.88

Tiger Canfield alkcol 43 796 16.1 0.6 84 67 8.40 32.6 57.9 67.4 58.4 0.01 0.04 54.45

Toho Regions alkcol 34 983 17.1 0.8 127 116 7.40 24.7 58.5 63.2 55.0 0.00 0.01 57.32

Weohyaka Canfield alkcol 28 455 5.1 1.0 76 42 7.00 8.4 46.6 60.0 52.2 0.00 0.01 69.65

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 78 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

Crystal Summer ' alkcol 37 1090 6.2 257 23 7.10 13.0 48.5 56.2 0.20 3.95

Dunes LW(6/96) 564 3686 41.5 1.2 67.1 57.4 95.5 54.91

East Roc LW(6/96) 50 2501 47.9 0.6 68.6 67.4 60.6 45.69

East Ro1 LW(6/96) 53 1898 24.4 1.6 61.9 53.2 61.4 62.53

Garfield Regions alkcol 81 1240 42.7 0.4 126 120 6.60 4.8 67.4 73.2 67.5 0.01 0.19 41.89

Gibson Canfield alkcol 269 691 5.9 0.8 105 69 6.70 10.2 48.0 63.2 84.8 0.02 0.22 65.88

Gulf Pin LW(6/96) 74 1701 19.8 1.4 59.9 55.2 66.2 62.65

Gulf Sho LW(6/96) 68 1971 42.5 1.2 67.4 57.4 65.0 54.72

Gulf Sh1 LW(6/96) 181 3185 128.2 0.6 78.2 67.4 79.1 37.77

Gumbo Li LW(6/96) 75 1260 10.2 2.8 53.4 45.2 66.4 76.06

Haines 1

- QAQC alkcol 122 1817 76.7 0.2 319 45 8.20 76.0 73.2 83.2 73.4 0.11 0.45 29.11 33 42

Hamilton LW 93 alkcol 112 1090 14.4 269 62 7.30 12.0 56.8 72.2 0.01 0.12

Hancock Regions alkcol 427 2463 119.7 0.5 189 83 7.40 52.0 77.5 70.0 91.5 0.01 0.04 36.20 212 57

Henry 1

- QAQC acidcol 97 1183 8.2 0.4 196 167 5.90 2.1 51.2 73.2 70.1 0.00 0.23 55.16

Lady Fin LW(6/96) 38 2625 9.1 1.4 52.3 55.2 56.6 68.91

Lake 1 LW(6/96 ) 393 2703 190.3 0.3 82.1 77.3 90.3 26.52

Lake 2 LW(6/96) 331 2517 121.5 0.4 77.7 73.2 87.8 33.48

Lake 3 LW(6/96) 412 1902 63.9 0.5 71.4 70.0 91.0 41.25

Lake 4 LW(6/96) 65 16.2 0.7 57.9 65.1 64.3 56 .20

Lake 5 LW(6/96) 181 1965 48.0 0.5 68.6 70.0 79.1 43.55

Lake 6 LW(6/96) 130 1717 86.7 0.4 74.4 73.2 74.3 36.19

Lake 7 LW(6/96) 93 1552 42.5 0.6 67.4 67.4 69.5 46.65

Little12 Canfield acidcol 54 1032 11.4 0.3 82 138 5.40 1.8 54.5 77.3 61.7 49.16

Little10 LW(6/96) 27 2509 12.0 0.9 55.0 61.5 51.7 61.54

Little P LW(6/96) 30 1382 47.2 0.9 68.4 61.5 53.2 50.52

Livingst Regions alkcol 290 1527 3.5 0.3 131 390 6.60 8.9 42.9 77 .3 85.9 0.01 0.11 58.66

Lowery Regions alkcol 18 1343 23.2 1.2 174 44 6.60 5.0 61.4 57.4 45.8 59.58

Manatee Canfield alkcol 163 618 7.3 1.2 134 101 6.90 30.3 50.1 57.4 77.6 0.03 0.15 68.88

Murex LW(6/96) 367 2315 37.7 0.7 66.2 65.1 8 9.3 49.41

Pond 1 LW(6/96) 202 1943 80.7

Pond 2 LW(6/96) 282 158.7 0.3 80.3 77.3 85.5 27.98

Pond 3 LW(6/96) 296 1907 86.2

Pond 6 LW(6/96) 104 2288 71.1

Pond 7 LW(6/96) 70 1544 65.4

Rochelle 1

- QAQC alkcol 175 1283 33.7 0.4 283 55 7.80 37.7 65.1 73.2 78.6 0.07 0.49 43.79

Roseate LW(6/96) 64 2101 44.6 0.7 67.9 65.1 64.1 48.05

Sanibel LW(6/96) 257 2209 56.1 0.6 70.1 67.4 84.2 44.4 2

### Florida Nutrient Criteria

Tetra Tech, Inc. ` 79 

## APPENDIX 1: (CONTINUED)

Lake Study ChemType Ref TP TN Chlorophyll Secchi

Depth Conductivity Color pH Alkalinity TSI Chl TSI SD TSI TP MEIAlk MEICond tLCI Troph1

TP

Model WACALIB

TP Model

South Cr Regions acidcol 38 917 20.8 0.8 121 100 6.40 2.9 60. 4 63.2 56.6 55.74

St. Char Summer ' 16 940 112 6.60 12.0 44.1 0.19 1.78

St. Kild LW(6/96) 48 1391 22.2 1.3 61.0 56.2 60.0 60.87

Streety Regions acidcol 142 817 8.1 0.8 115 230 6.00 2.1 51.1 63.2 75.6 0.01 0.36 63.33

S urveyor Regions alkcol 76 1367 88.9 0.5 167 68 7.10 6.8 74.6 70.0 66.6 0.02 0.57 38.59

Upper My Canfield alkcol 206 863 6.7 1.3 201 99 8.60 41.2 49.3 56.2 81.0 0.04 0.21 70.51

West Roc LW(6/96) 33 1623 8.2 1.7 51.2 52.4 54.6 72.00

Tr afford Canfield alkcol 65 1270 27.7 1.0 225 48 8.50 110.8 63.2 60.0 64.3 0.07 0.15 56.04

Osborne Canfield alkcol 138 1168 39.9 1.0 477 60 8.20 203.8 66.8 60.0 75.2 0.57 1.34 53.10

Tigertai Canfield alkclr 14 607 2.5 166 4 8.90 66.1 39.6 42.2 6.6 1 16.60