Patterns and repeatability of multi-ecotype assemblages of sympatric Salmonids
Data files
Oct 03, 2023 version files 747.93 KB
-
README.md
-
salmonids_abstracts.xlsx
-
salmonids_data.xlsx
Abstract
Aim: High repeatability among assemblages of closely related but ecologically distinct ecotypes implies predictability in evolution and assembly of communities. The conditions under which ecotype assemblages form predictably, and the reasons, have been little investigated. Here we test whether repeatability declines as the number of ecotypes builds.
Location: Postglacial lakes with a circumboreal distribution.
Time period: Data were extracted from studies published between 1982 and 2019.
Major taxa studied: Ecotype assemblages from two Salmonid genera – Salvelinus and Coregonus. Fish in postglacial lakes commonly occur as pairs of ecotypes, typically with a pelagic and a littoral/benthic form, but in Salvelinus and Coregonus assemblages commonly contain multiple sympatric ecotypes.
Methods: We used a meta-analysis of Salvelinus and Coregonus to empirically assess how repeatability varies across assemblages of two to seven ecotypes. We examined repeatability of use of broad niche categories as well as in underlying phenotypic traits.
Results: Within Coregonus, repeatability across multi-ecotype assemblages did not break down with the addition of a third or fourth ecotype. However, in Salvelinus, repeatability was largely absent and independent of the number of ecotypes. Repeatability of trait frequency distributions was absent in both genera, yet associations between trait means and niche categories were evident especially in Coregonus.
Main conclusions: These results show that repeatability can vary greatly between lineages; that repeatability needn’t break down as the number of ecotypes builds; and that high repeatability of broad niche categories may result despite marked differences in the underlying frequency distribution of trait means. These findings affirm the presence of repeatable ecotype assembly and early stages of divergence in postglacial fishes at a global scale, but also highlight variability among taxa and underlying phenotypic traits.
README: Patterns and repeatability of multi-ecotype assemblages of sympatric Salmonids
Data obtained from published literature through a systematic review.
The focal dataset includes means, errors, and sample sizes for traits from sets of sympatric ecotypes of Coregonus or Salvelinus in postglacial lakes.
Metadata includes lake locations and ecotype species.
Data related to the systematic review process (abstract and full text scans) are also included here.
Cells that contain "NA" indicate missing data, such as trait information that were not available in a particular study.
Description of the data and file structure
File: salmonids_data.xlsx
(1) ecotypes
contains collated data with one row per record of an ecotype. Columns correspond to trait measures (mean, error, sample size) and meta-data for the ecotype (ex. lake)
Paper_ID = unique ID for each study in the meta-analysis
Lake = name of the lake where samples were collected
Species = scientific name of the species or species complex
Morph_zone = category of ecotype habitat (descriptive)
Morph_diet = category of ecotype diet (descriptive)
GRc_mean = mean number of gill rakers
GRc_n = sample size for gill rakers
GRc_e = measure of error for gill rakers
GRc_e_type = type of error for gill rakers (SD = standard deviation, SE = standard error, CI95 = 95% confidence interval)
C13_mean = mean measure of isotope Carbon 13
C13_n = sample size for isotope Carbon 13
C13_e = measure of error for isotope Carbon 13
C13_e_type = type of error for isotope Carbon 13 (SD = standard deviation, SE = standard error, CI95 = 95% confidence interval)
N15_mean = mean measure of isotope Nitrogen 15
N15_n = sample size for isotope Nitrogren 15
N15_e = measure of error for isotope Nitrogen 15
N15_e_type = type of error for Nitrogen 15 (SD = standard deviation, SE = standard error, CI95 = 95% confidence interval)
length_mean = mean body length, units listed in "length_units"
length_n = sample size for body length
length_e = measure of error for body length
length_e_type = type of error for body length (SD = standard deviation, SE = standard error, CI95 = 95% confidence interval)
length_units = units of measurement for body length (mm = millimetres, cm = centimetres)
length_type = type of body length measure (fork, standard, or total)
age = mean measure of age in years
age_n = sample size for age
age_e = measure of error for age
age_e_type = type of error for age (SD = standard deviation, SE = standard error, CI95 = 95% confidence interval)
(2) lakes
includes summarized information for all lakes included in the analysis
Lake = name of the lake where samples were collected
Paper_IDs = unique ID for each study in the meta-analysis with data from that lake
Country = political state where samples where collected
Lat = latitude, in degrees
Lon = longitude, in degrees
Lacustrine_morphs = number of lake-dwelling ecotypes identified in the lake
(3) studies
includes a citation for all studies that went through a full text review, including a reason for exclusion for studies not included in the dataset
Paper_ID = unique ID for each study in the meta-analysis
Full_Paper_ID = unique ID for each study in the meta-analysis with first author name and year
Reference = full citation
File: salmonids_abstracts.xlsx
Each tab corresponds to one database searched in our systematic literature review:
Web of Science, Scopus, Skulason and Smith 1995 (forward search), and bioRxiv
Each tab includes a reference for each abstract scanned and a reason for exclusion for studies that were not included in the full text scan
Methods
Data were collated from published and pre-printed studies following a systematic review. Code for data analysis and plotting are available here: https://github.com/stephblain/salmonids_repeatability