Journal
SCIENCE
Volume 353, Issue 6304, Pages 1113-+Publisher
AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/science.aad8466
Keywords
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Categories
Funding
- Synthesis Centre of the German Centre for Integrative Biodiversity Research [DFG-FZT-118]
- DIVERSITAS
- project bioDISCOVERY
- project bioGENESIS
- Canada Research Chair
- Natural Sciences and Engineering Research Council of Canada
- Quebec Centre for Biodiversity Science
- University of Florida Foundation
- KU Leuven Research Fund grant [PF/2010/07]
- ERA-Net BiodivERsA TIPPINGPOND
- Belspo IAP SPEEDY
- European Union Biodiversity Observation Network grant [EU-BON-FP7-308454]
- KU Leuven Research Fund
- NSF [DEB-1119877, PLR-1417754]
- McDonnell Foundation
- Natural Environment Research Council [NE/G007039/1, NE/N015843/1, NE/N01037X/1] Funding Source: researchfish
- NERC [NE/G007039/1, NE/N01037X/1, NE/N015843/1] Funding Source: UKRI
- Directorate For Geosciences
- Office of Polar Programs (OPP) [1417754] Funding Source: National Science Foundation
- ICER
- Directorate For Geosciences [1450657, 1450554] Funding Source: National Science Foundation
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New biological models are incorporating the realistic processes underlying biological responses to climate change and other human-caused disturbances. However, these more realistic models require detailed information, which is lacking for most species on Earth. Current monitoring efforts mainly document changes in biodiversity, rather than collecting the mechanistic data needed to predict future changes. We describe and prioritize the biological information needed to inform more realistic projections of species' responses to climate change. We also highlight how trait-based approaches and adaptive modeling can leverage sparse data to make broader predictions. We outline a global effort to collect the data necessary to better understand, anticipate, and reduce the damaging effects of climate change on biodiversity.
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