Data from: Variation in dispersal traits and geography predict loss of ranges due to climate change in cold-adapted amphibians
Data files
May 20, 2025 version files 27.18 GB
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gis_layers.zip
27.18 GB
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points_DOI.csv
137 B
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README.md
1.95 KB
Abstract
Dispersal ability may play a major role in determining whether a species will persist under climate change. We used models of dispersal, employing a wide range of intrinsic species-specific dispersal factors, in conjunction with ecological niche models (ENM) and climate predictions to simulate whether distributions of North American cold-adapted amphibians will increase or decrease, and which aspects of dispersal most influence this prediction. We used ENM values as a proxy for habitat suitability, predicted a changing climate under three shared socio-economic pathways (SSP245, SSP370, and SSP585) representing three carbon emission scenarios, and conducted a sensitivity analysis on the effect of dispersal factors on range dynamics. We then used simulations focused only on the southern edge of ranges to determine the likelihood of individuals colonizing towards the core. Predicted range shifts depended on emission scenario, dispersal factors, and species’ initial geography. Inclusion of dispersal parameters was critical in predicting range shifts, in particular for high carbon-emission scenarios where contraction was more likely than expansion, although specific responses varied with species initial geography. Dispersal distance, probability of dispersal, and long-distance dispersal were often the most important parameters for predicting final range size. Similarly, dispersal parameters results in complete loss to complete emigration of southern range individuals towards the core. These models predict that for some species in the more rapid warming scenarios, translocation efforts will be needed to mitigate potential loss of genetic variation at the southern edges and the overall size of the species’ ranges unless carbon emissions are reduced.
https://doi.org/10.5061/dryad.3xsj3txqw
Description of the data and file structure
1) CSV file that has GBIF DOI information.
2) Input files for recreating simulation scenarios, broken up by shared-socioeconomic pathway (SSP) provided as GeoTIFF files (.tif) with embedded metadata (e.g. coordinate reference system) that were derived by making Species Distribution Models and predictions with Maxent.
Within the three directories of the SSPs, file names start with species name shorthand from the paper (ABMA, ANBO, ANHE, LISY, PSMA, RALU) represent the 6 species (Ambystoma macrodactylum, Anaxyrus boreas, Anaxyrus hemiophrys, Lithobates sylvaticus, Pseudacris maculata, and Rana luteiventris).
After the prefix for the species, files ending with "ini_final*" are the initial distribution inputs for the MIGCLIM script for the entire geographic range, and those inputs for the southern range only simulations are labeled "*ini_southern". Files ending with "hs" represent habitat suitability and the numbers indicate the time step for simulation to match the script (see GitHub code for MIGCLIM script). Note: the MIGCLIM package will convert the .tif files to .asc.
Examples:
ABMA*_*ini_final : Species ABMA, initial distribution raster
RALU_hs5: Species RALU, habitat suitability raster for time period 5
ANBO_ini_south_final: Species ANBO, initial distribution for southern range edge simulations raster
PSMA_hs1.tif: Species PSMA, habitat suitability raster for time period 0
See related GitHub: trasea986/cc_disp_amphib
For any questions please email travis.seaborn@ndsu.edu
Access information
Data was derived from the following sources:
- WorldClim 2.0
- GBIF
Input files for MigClim Simulations.
All scripts for re-creating the analyses are available at https://github.com/trasea986/cc_disp_amphib.
