The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
EcoClimate: a database of climate data from multiple models for past, present, and future for macroecologists and biogeographers
Open accessAbstract
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.
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Cites
Climate model benchmarking with glacial and mid-Holocene climates
Harrison, S. P., Bartlein, P. J., Brewer, S., Prentice, I. C., Boyd, M., Hessler, I., Holmgren, K., Izumi, K., & Willis, K. (2014) · Climate Dynamics · doi:10.1007/s00382-013-1922-6 · Cited by 231
Cited by
Bio‐ORACLE v2.0: Extending marine data layers for bioclimatic modelling
Assis, J., Tyberghein, L., Bosch, S., Verbruggen, H., Serrão, E. A., & De Clerck, O. (2018) · Global Ecology and Biogeography · doi:10.1111/geb.12693 · Cited by 931
Title, P. O., & Bemmels, J. B. (2018) · Ecography · doi:10.1111/ecog.02880 · Cited by 606
PaleoClim, high spatial resolution paleoclimate surfaces for global land areas
Brown, J. L., Hill, D. J., Dolan, A. M., Carnaval, A. C., & Haywood, A. M. (2018) · Scientific Data · doi:10.1038/sdata.2018.254 · Cited by 498
High-resolution terrestrial climate, bioclimate and vegetation for the last 120,000 years
Beyer, R. M., Krapp, M., & Manica, A. (2020) · Scientific Data · doi:10.1038/s41597-020-0552-1 · Cited by 110
Metadata
- Authors
- Lima-Ribeiro, M. S., Varela, S., González-Hernández, J., De Oliveira, G., Diniz-Filho, J. A. F., & Terribile, L. C.
- Venue
- Biodiversity Informatics
- Publisher
- The University of Kansas
- Published
- 2015-08-23
- Volume
- 10
- ISSN
- 1546-9735 (ISSN-L)
- OpenAlex
- W1952970230
- Cited by
- 170
- References
- 1
- FWCI
- 8.35
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Lima-Ribeiro, M. S., Varela, S., González-Hernández, J., De Oliveira, G., Diniz-Filho, J. A. F., & Terribile, L. C. (2015). EcoClimate: a database of climate data from multiple models for past, present, and future for macroecologists and biogeographers. Biodiversity Informatics. https://doi.org/10.17161/bi.v10i0.4955
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