Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 1 de 1
Filter
Add more filters











Database
Language
Publication year range
1.
Science ; 353(6304)2016 09 09.
Article in English | MEDLINE | ID: mdl-27609898

ABSTRACT

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.


Subject(s)
Adaptation, Physiological , Biodiversity , Biological Evolution , Climate Change , Models, Biological , Animals , Conservation of Natural Resources , Culicidae/virology , Dengue/transmission , Earth, Planet , Models, Genetic , Population Dynamics , Spatio-Temporal Analysis
SELECTION OF CITATIONS
SEARCH DETAIL