Linked Life Data

20392517

Source:http://linkedlifedata.com/resource/pubmed/id/20392517

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2010-5-17
pubmed:abstractText
Predicting the impacts of climate change on species is one of the biggest challenges that ecologists face. Predictions routinely focus on the direct effects of climate change on individual species, yet interactions between species can strongly influence how climate change affects organisms at every scale by altering their individual fitness, geographic ranges and the structure and dynamics of their community. Failure to incorporate these interactions limits the ability to predict responses of species to climate change. We propose a framework based on ideas from global-change biology, community ecology, and invasion biology that uses community modules to assess how species interactions shape responses to climate change.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0169-5347
pubmed:author
pubmed:copyrightInfo
Copyright (c) 2010 Elsevier Ltd. All rights reserved.
pubmed:issnType
Print
pubmed:volume
25
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
325-31
pubmed:dateRevised
2011-5-3
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
A framework for community interactions under climate change.
pubmed:affiliation
Joint Science Department, Claremont Colleges, 925 N. Mills Ave, Claremont, CA 91711, USA. sgilman@jsd.claremont.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S.