EcoClimate: a database of climate data from multiple models for past, present, and future for macroecologists and biogeographers

Matheus Souza Lima-Ribeiro, Sara Varela, Javier González-Hernández, Guilherme de Oliveira, José Alexandre F. Diniz-Filho, Levi Carina Terribile

Abstract


Studies in biogeography and macroecology have been increasing massively since climate and biodiversity databases became easily accessible. Climate simulations for past, present, and future have enabled macroecologists and biogeographers to combine data on species’ occurrences with detailed information on climatic conditions through time to predict biological responses across large spatial and temporal scales. Here we present and describe ecoClimate, a free and open data repository developed to serve useful climate data to macroecologists and biogeographers. ecoClimate arose from the need for climate layers with which to build ecological niche models and test macroecological and biogeographic hypotheses in the past, present, and future. ecoClimate offers a suite of processed, multi-temporal climate data sets from the most recent multi-model ensembles developed by the Coupled Modeling Intercomparison Projects (CMIP5) and Paleoclimate Modeling Intercomparison Projects (PMIP3) across past, present, and future time frames, at global extents and 0.5° spatial resolution, in convenient formats for analysis and manipulation. A priority of ecoClimate is consistency across these diverse data, but retaining information on uncertainties among model predictions. The ecoClimate research group intends to maintain the web repository updated continuously as new model outputs become available, as well as software that makes our workflows broadly accessible.


Keywords


climate data, raster, bioclimatic variables, general circulation models, kriging, downscaling, Pleistocene, Pliocene

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DOI: https://doi.org/10.17161/bi.v10i0.4955

Copyright (c) 2015 Matheus Souza Lima-Ribeiro, Sara Varela, Javier González-Hernández, Guilherme de Oliveira, José Alexandre F. Diniz-Filho, Levi Carina Terribile



Biodiversity Informatics. ISSN: 1546-9735
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