DOI: 10.5061/dryad.pc866t1tc
title: Spatial-temporal gradient variation patterns of fish trophic guilds in a freshwater river wetland ecosystem of northeastern China

description: Muling River, situated amidst cultivated lands in Heilongjiang
 Province, northeastern China, has long been subjected to sand-digging
 activities, resulting in severe damage to its riverbed. However,
 little research has been conducted on the impact of this disturbance on
 the status of fish community structure and trophic guilds in this
 river. In this study, environmental factors, fish community
 structure, and their trophic guilds biomass distribution
 patterns from Muling River basin were investigated along season
 (spring, summer, and autumn) and section (upper, middle, and
 lower stream) gradient both of 2015 and 2017. During the six
 sampling times periods, 46 species of five orders and 12 families of fish
 classified into seven trophic guilds. Fish species number and
 biomass were highest at the first five sampling sites. The
 insectivores (16.26%), phytoplanktivores (10.09%), benthivores (40.17%),
 and omnivores (11.86%) were the dominant trophic guilds. We find that fish
 trophic guilds biomass in upper-stream was significantly
 different from other section (p.adjusted &lt; 0.01), while SD, WD, PH,
 TP and CODMn were highest in the upper section.
 Variation partitioning revealed that fish trophic guilds biomass
 was influenced more by environmental factors (61.2%), followed by section
 (0.7%) and season (0.1%). Partial RDA ordination showed that fish
 trophic guilds were positively correlated with water depth and
 transparency, while negative with turbidity. This study
 underscores the importance of considering trophic guilds
 of freshwater fishes to inform management strategies in regions
 experiencing significant environmental change.
description: # Spatial-temporal gradient variation patterns of fish trophic guilds in a
 freshwater river wetland ecosystem of northeastern China \## Description
 of the data and file structure The raw data contains fish biological
 characteristics including individual number, total weight (g), average
 weight (g), weight range (g), average length (cm), and length range (cm).
 Variance analysis and multiple comparisons analysis on differences
 temporal and spatial of environments and fish trophic guilds, Two-way
 ANOVA non-element test was used for correlation analysis. Someone who uses
 the data to do further analysis will need to take the fact of the fish
 resources into consideration. Describe relationships between data files,
 missing data codes, and other abbreviations used. Be as descriptive as
 possible. \## Sharing/Access information This is a section for linking to
 other ways to access the data, and for linking to sources the data is
 derived from, if any. Links to other publicly accessible locations of the
 data: None Data was derived from the following sources: None \## Relavant
 R code \### function of adonis multiple comparisons pairwise.adonis
 &lt;-function(x,factors, sim.method, p.adjust.m){ library(vegan) co =
 as.matrix(combn(unique(factors),2)) pairs = c() F.Model =c() R2 = c()
 p.value = c() for(elem in 1:ncol(co)){ ad = adonis2(x[factors
 %in%c(as.character(co[1,elem]),as.character(co[2,elem])),] ~
 factors[factors %in%c(as.character(co[1,elem]),as.character(co[2,elem]))]
 , method =sim.method); pairs
 =c(pairs,paste(co[1,elem],'vs',co[2,elem])); F.Model
 =c(F.Model,ad$aov.tab[1,4]); R2 = c(R2,ad$aov.tab[1,5]); p.value =
 c(p.value,ad$aov.tab[1,6]) } p.adjusted
 =p.adjust(p.value,method=p.adjust.m) pairw.res =
 data.frame(pairs,F.Model,R2,p.value,p.adjusted) return(pairw.res) }
 div_sec &lt;- pairwise.adonis(div1, group$Section,
 sim.method="bray", p.adjust.m= "bonferroni") div_tim
 &lt;-pairwise.adonis(div1, group$Times, sim.method="bray",
 p.adjust.m= "bonferroni") env_sec &lt;- pairwise.adonis(env1,
 group$Section, sim.method="bray", p.adjust.m=
 "bonferroni") env_tim &lt;-pairwise.adonis(env1, group$Times,
 sim.method="bray", p.adjust.m= "bonferroni") \##write
 adonis multiple comparisons data1 &lt;- list('abun_sec'=
 div_sec,'abun_tim' = div_tim, 'env_sec'=
 env_sec,'env_tim' = env_tim) write.xlsx(data1, 'multiple
 comparision.xlsx') \## Change log Sep 06, 2023 A new version of the
 repository was uploaded to reflect changes made during the review process
 for the accompanying manuscript. Here is a summary of the changes made:
 Deleted old files and added new file generation scripts to reflect changes
 to supplementary material. New file is: Fish trophic guilds average means
 of Sections and Periods. Apr 23, 2024 A new version of the repository was
 uploaded to reflect changes made during the second round of the review
 process. Here is a summary of the changes made: Added first version files
 together, all files are: Adonis, Multiple comparision, non-element
 two-way,fish biological charateristics,and fish trophic guilds average
 means.