DOI: 10.5061/dryad.pg4f4qs01
title: Data from: Which ecological factors influence the level of intraspecific diversity within post-glacial fishes? A case study using Coregonus and Salvelinus

description: While it is likely that ecological context is important, the factors that
 facilitate and maintain variable levels of intraspecific diversity in
 Salmonidae fishes across environments remain unclear. Using a
 meta-analysis of sympatric ecotype assemblages from two salmonid genera –
 Salvelinus and Coregonus – we evaluated the importance of ecological
 factors determining the number of sympatric ecotypes (i.e., two to seven)
 and the level of trait divergence between them. We found that ecotype
 diversity increased with lake depth and surface area in both Coregonus and
 Salvelinus. Further, diversity in Coregonus increased with latitude, while
 the number of ecotypes in Salvelinus assemblages was linked to climatic
 seasonality. In comparing the two genera we found elevated divergence in
 traits related to ontogeny (i.e., age and body shape) in Salvelinus and
 gill raker count in Coregonus. Trait divergence in life history traits
 (i.e., age and body length) in Salvelinus increased with seasonality,
 whereas contrasting relationships of latitude to body length and gill
 rakers were found in Coregonus. We also found similar levels of divergence
 in trait variance in the two genera, suggesting that among-ecotype
 differences in phenotypic variability are not more common in one genus
 than the other. Overall, ecosystem characteristics, including lake
 location, climate, and morphometry, are clearly important for where these
 genera have diversified, but the variables that are most closely
 associated with intraspecific diversity differ between the two genera
 studied, and depend on whether diversity is quantified using number of
 ecotypes or trait divergence.
description: ## lake\_summary.csv This dataset contains a summary of geographical
 variables recorded for the lakes included in the meta-analysis.
 'NA' values indicate missing data. * Lake = name of lake where
 the assemblage occurs * Genus = *Salvelinus* or *Coregonus* - genus the
 ecotypes belong to * Lacustrine_morphs = number of ecotypes that reside in
 the lake * Country = political entity where the lake is located * Lat =
 latitude, in decimal degrees * Lon = longitude, in decimal degrees *
 Depth_max = maximum lake depth, in metres * Area = lake surface area, in
 metres squared * Other_source = source for lake information, if not the
 paper data was extracted from ## morphs.csv This dataset contains the raw
 trait data (means, errors, and sample sizes) for ecotypes included in the
 meta-analysis. 'NA' values indicate missing data. * Paper_ID =
 Identifer uniquely associated with the paper data were extracted from *
 Lake = name of the lake were the ecotype occurs * Species = species or
 species complex, if described * Morph_ID = identifier associated with the
 ecotype * Morph_zone = descriptor of the ecotype's habitat niche *
 Morph_diet = descriptor of the ecotype's diet niche * GRc_mean = mean
 gill raker count, in number of gill rakers * GRc_n = sample size for gill
 raker count * GRc_e = error for gill raker count * GRc_e_type = type of
 error measure (SD, SE, etc) for gill raker count * length_mean = mean body
 length * length_n = sample size for body length * length_e = error for
 body length * length_e_type = type of error for body length * length_units
 = units of measurement for body length (cm, mm, or log_mm if on a log
 scale) * length_type = type of length measurement (fork, standard, or
 total) * age = mean age, in years * age_n = sample size for age * age_e =
 error for age * age_e_type = type of error measure for age *
 lengthAsymp_mean = asymptotic length, in mm * lengthAsymp_n = sample size
 for asymptotic length * lengthAsymp_e = error for asymptotic length *
 lengthAsymp_e_type = type of error measure for asymptotic length *
 lengthAsymp_type = type of length measurement (fork, standard, or total) *
 N15_mean = mean value for isotope Nitrogen 15 * N15_n = sample size for
 Nitrogen 15 * N15_e = error for Nitrogen 15 * N15_e_type = type of error
 measure for Nitrogen 15 * C13_mean = mean value for isotope Carbon 13 *
 C13_n = sample size for Carbon 13 * C13_e = error for Carbon 13 *
 C13_e_type = type of error measure for Carbon 13 * UpperJaw_mean = mean
 upper jaw length, in mm * UpperJaw_n = sample size for upper jaw length *
 UpperJaw_e = error for upper jaw length * UpperJaw_e_type = type of error
 measure for upper jaw length * LowerJaw_mean = mean lower jaw length, in
 mm * LowerJaw_n = sample size for lower jaw length * LowerJaw_e = error
 for lower jaw length * LowerJaw_e_type = type of error measure for lower
 jaw length * Gape_mean = mean gape width, in mm * Gape_n = sample size for
 gape width * Gape_e = error for gape width * Gape_e_type = type of error
 measure for gape width * Eye_mean = mean eye diameter, in mm * Eye_n =
 sample size for eye diameter * Eye_e = error for eye diameter * Eye_e_type
 = type of error measure for eye diameter * HeadLength_mean = mean head
 length, in mm * HeadLength_n = sample size for head length * HeadLength_e
 = error for head length * HeadLength_e_type = type of error measure for
 head length * Snout_mean = mean snout length, in mm * Snout_n = sample
 size for snout length * Snout_e = error for snout length * Snout_e_type =
 type of error measure for snout length * PectoralFin_mean = mean pectoral
 fin length, in mm * PectoralFin_n = sample size for pectoral fin length *
 PectoralFin_e = error for pectoral fin length * PectoralFin_e_type = type
 of error measure for pectoral fin length * DorsalFin_mean = mean dorsal
 fin length, in mm * DorsalFin_n = sample size for dorsal fin length *
 DorsalFin_e = error for dorsal fin length * DorsalFin_e_type = type of
 error measure for dorsal fin length * CaudalFin_mean = mean caudal fin
 length, in mm * CaudalFin_n = sample size for caudal fin length *
 CaudalFin_e = error for caudal fin length * CaudalFin_e_type = type of
 error measure for caudal fin length * AnalFin_mean = mean anal fin length,
 in mm * AnalFin_n = sample size for anal fin length * AnalFin_e = error
 for anal fin length * AnalFin_e_type = type of error measure for anal fin
 length * PelvicFin_mean = mean pelvic fin length, in mm * PelvicFin_n =
 sample size for pelvic fin length * PelvicFin_e = error for pelvic fin
 length * PelvicFin_e_type = type of error measure for pelvic fin length *
 Depth = mean depth of capture, in m * Depth_n = sample size for depth of
 capture * Depth_e = error for depth of capture * Depth_e_type = type of
 error measure for depth of capture * BodyPC1_mean = mean value on the
 first principal component estimated from body shape * BodyPC1_n = sample
 size for body shape PC1 * BodyPC1_e = error for body shape PC1 *
 BodyPC1_e_type = type of error measure for body shape PC1 * HeadPC1_mean =
 mean value on the first principal component estimated from head shape *
 HeadPC1_n = sample size for head shape PC1 * HeadPC1_e = error for head
 shape PC1 * HeadPC1_e_type = type of error measure for head shape PC1 ##
 Paper references This sheet includes a full list of the papers that were
 used in this meta-analysis * Paper_ID = Identifer uniquely associated with
 the paper data were extracted from * Full_Paper_ID = Paper_ID with the
 paper's first author and year attached * Reference = full formatted
 reference for the paper