Direct effects dominate responses to climate perturbations in grassland plant communities
Kleinhesselink, Andrew R.
Havstad, Kris M.
McClaran, Mitchel P.
Peters, Debra P.
Vermeire, Lance T.
Adler, Peter B.
AffiliationUniv Arizona, Sch Nat Resources & Environm
MetadataShow full item record
PublisherNATURE PUBLISHING GROUP
CitationDirect effects dominate responses to climate perturbations in grassland plant communities 2016, 7:11766 Nature Communications
RightsThis work is licensed under a Creative Commons Attribution 4.0 International License
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at firstname.lastname@example.org.
AbstractTheory predicts that strong indirect effects of environmental change will impact communities when niche differences between competitors are small and variation in the direct effects experienced by competitors is large, but empirical tests are lacking. Here we estimate negative frequency dependence, a proxy for niche differences, and quantify the direct and indirect effects of climate change on each species. Consistent with theory, in four of five communities indirect effects are strongest for species showing weak negative frequency dependence. Indirect effects are also stronger in communities where there is greater variation in direct effects. Overall responses to climate perturbations are driven primarily by direct effects, suggesting that single species models may be adequate for forecasting the impacts of climate change in these communities.
VersionFinal published version
SponsorsNational Science Foundation [DEB-1054040, DEB-1235828]; Utah Agriculture Experiment station ; National Natural Science Foundation of China [31570426, 31000199]; Program for New Century Excellent Talents in University [NCET-12-0248]; Fundamental Research Funds for the Central Universities [lzujbky-2013-k15]; National Science Foundation; Arizona Experiment Station, USDA-NIFA [ARZT-1392500-M12-197]; USDA-CEAP [AZRT-312860-G-t2-51]