Environmental Data: Spatial factors shape taxonomic and functional bet...
Description
These datasets and code support research on the community assemblage of aquatic macroinvertebrates in ephemeral microhabitats, specifically water-filled tr...
Citation
Cerroti, F., Rota, T., Valente-Neto, F., K.T., F., Calore, R., Romero, G. Q., Karumampoyil Sakthidas, A. D., Bruder, A., Gossner, M. M. (2025). Spatial factors shape taxonomic and functional beta-diversity in water-filled tree holes in different biogeographical regions. EnviDat. https://www.doi.org/10.16904/envidat.673.
Resources
Metadata.xlsx
This Excel file contains metadata that provides detailed information about all other files included here. It describes the ten accompanying datasets, outlining the type of data each contains, the variables used, their descriptions, and the units of measurement (where applicable).
Metadata.xlsxTraitBrazil.csv
This dataset contains trait information used to characterize the macroinvertebrates in our study, for the Brazilian forest plot. The dataset includes seven trait groups: aquatic developmental stage, maximum body size, locomotion, dispersal mode, respiration mode, feeding group, and cohort production interval. These trait groups are further divided into 32 distinct categories.
TraitBrazil.csvTraitFrance.csv
This dataset contains trait information used to characterize the macroinvertebrates in our study, for the French forest plot. The dataset includes seven trait groups: aquatic developmental stage, maximum body size, locomotion, dispersal mode, respiration mode, feeding group, and cohort production interval. These trait groups are further divided into 32 distinct categories.
TraitFrance.csvTraitIndia.csv
This dataset contains trait information used to characterize the macroinvertebrates in our study, for the Indian forest plot. The dataset includes seven trait groups: aquatic developmental stage, maximum body size, locomotion, dispersal mode, respiration mode, feeding group, and cohort production interval. These trait groups are further divided into 32 distinct categories.
TraitIndia.csvFig_1_Data.csv
This dataset contains values of taxonomic and functional β-diversity for each study site, along with their respective components: species richness difference vs. turnover (taxonomic), and functional richness difference vs. functional turnover (functional). Used to generate Fig. 1.
Fig_1_Data.csvEnvironmentalVariables.csv
This dataset includes physical and environmental characteristics of water-filled tree holes (WTHs), such as water depth, height, opening size, hole origin and orientation, circumference at breast height, WTH type, and water volume. It also contains physico-chemical parameters, nutrient concentrations (ammonium, nitrogen, phosphate, sulfate, chloride), CDOM, Chlorophyll-A, turbidity, and dry organic matter (FPOM, CPOM, total).
EnvironmentalVariables.csvCommunitiesFinal.csv
This dataset describes the animal community composition sampled from 35 water-filled tree holes (WTHs) per site. It includes abundance and taxonomic identification (to morphospecies level) of aquatic macroinvertebrates and Chordata.
CommunitiesFinal.csvCoordinatesBrazil.csv
This dataset provides the geographic coordinates (latitude and longitude) of each sampled water-filled tree hole (WTH) for the Brazilian forest plot.
CoordinatesBrazil.csvCoordinatesFrance.csv
This dataset provides the geographic coordinates (latitude and longitude) of each sampled water-filled tree hole (WTH) for the French forest plot.
CoordinatesFrance.csvCoordinatesIndia.csv
This dataset provides the geographic coordinates (latitude and longitude) of each sampled water-filled tree hole (WTH) for the Indian forest plot.
CoordinatesIndia.csvFig_2_Data.csv
This dataset includes results from variation partitioning analysis used to assess the relative contributions of environmental and spatial factors to taxonomic and functional β-diversity and their components across biogeographic regions. It contains site-level values for pure and shared effects of predictors. Used to generate Fig_2.
Fig_2_Data.csvBeta_diversity_analysis_across_sites_code.R
Code to do the analysis and figures of the paper.
Beta_diversity_analysis_across_sites_code.R