Data

Wallace v2.0 Animalia: Habitat suitability distribution modelling for Animalia worldwide

James Cook University
Graham, Erin ; VanDerWal, Jeremy ; Atkinson, Ian
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25903/xfrm-d787&rft.title=Wallace v2.0 Animalia: Habitat suitability distribution modelling for Animalia worldwide&rft.identifier=10.25903/xfrm-d787&rft.publisher=James Cook University&rft.description=Climate change scenarios were sourced from the UK Met Office Hadley Centre for CMIP5 global climate models and scaled to 20km resolution. Species occurrence records were downloaded from GBIF. Maxent was used to model the habitat suitability distributions.https://wallaceinitiative.org/&rft.creator=Graham, Erin &rft.creator=VanDerWal, Jeremy &rft.creator=Atkinson, Ian &rft.date=2021&rft.relation=https://doi.org/10.1126/science.aar3646&rft.relation= https://doi.org/10.1038/nclimate1887, J., Welbergen, J.A., Atkinson, I., Ramirez-Villegas, J., Osborn, T.J., Jarvis, A., Shoo, L.P., Williams, S.E., and Lowe, J. (2013) Quantifying the benefit of early climate change mitigation in avoiding biodiversity loss. Nature Climate Change, 3. pp. 678-682.&rft.coverage=&rft_rights=&rft_rights=CC BY 4.0: Attribution 4.0 International http://creativecommons.org/licenses/by/4.0&rft_subject=climate change&rft_subject=biodiversity&rft_subject=species distributions&rft_subject=conservation&rft_subject=invertebrates&rft_subject=Annelida&rft_subject=Chordata&rft_subject=Arthropoda&rft.type=dataset&rft.language=English Access the data
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Climate change scenarios were sourced from the UK Met Office Hadley Centre for CMIP5 global climate models and scaled to 20km resolution. Species occurrence records were downloaded from GBIF. Maxent was used to model the habitat suitability distributions.
https://wallaceinitiative.org/

Created: 2021-05-05

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Annelida | Arthropoda | Chordata | biodiversity | climate change | conservation | invertebrates | species distributions |

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Identifiers
  • DOI : 10.25903/XFRM-D787
  • Local : researchdata.jcu.edu.au//published/1a78323e26198ce82693b27a6fe37303
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