z-logo
open-access-imgOpen Access
Improving the forecast for biodiversity under climate change
Author(s) -
Mark C. Urban,
Greta Bocedi,
Andrew P. Hendry,
JeanBaptiste Mihoub,
Guy Pe’er,
Alexander Singer,
Jon R. Bridle,
Lisa G. Crozier,
Luc De Meester,
William Godsoe,
Andrew Gonzalez,
Jessica J. Hellmann,
Robert D. Holt,
A. Huth,
Karin Johst,
Cornelia B. Krug,
Paul Leadley,
Steven C. Palmer,
Jelena H. Pantel,
Andreas Schmitz,
Patrick A. Zollner,
Justin M. J. Travis
Publication year - 2016
Publication title -
science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 12.556
H-Index - 1186
eISSN - 1095-9203
pISSN - 0036-8075
DOI - 10.1126/science.aad8466
Subject(s) - climate change , biological dispersal , biodiversity , sophistication , population , ecology , environmental change , environmental resource management , data science , computer science , biology , environmental science , social science , demography , sociology
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom