Show simple item record

dc.contributor.authorAvolio, Meghan L.
dc.contributor.authorLa Pierre, Kimberly J.
dc.contributor.authorHouseman, Gregory R.
dc.contributor.authorKoerner, Sally E.
dc.contributor.authorGrman, Emily
dc.contributor.authorIsbell, Forest
dc.contributor.authorJohnson, David Samuel
dc.contributor.authorWilcox, Kevin R.
dc.date.accessioned2016-01-31T22:38:57Z
dc.date.available2016-01-31T22:38:57Z
dc.date.issued2015-12-21
dc.identifier.citationAvolio, Meghan L.; La Pierre, Kimberly J.; Houseman, Gregory R.; Koerner, Sally E.; Grman, Emily; Isbell, Forest; Johnson, David Samuel; Wilcox, Kevin R. 2015. A framework for quantifying the magnitude and variability of community responses to global change drivers. Ecosphere, vol. 6:no. 12:pp 1–14en_US
dc.identifier.issn2150-8925
dc.identifier.otherWOS:000367311800033
dc.identifier.urihttp://dx.doi.org/10.1890/ES15-00317.1
dc.identifier.urihttp://hdl.handle.net/10057/11730
dc.descriptionThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en_US
dc.description.abstractA major challenge in global change ecology is to predict the trajectory and magnitude of community change in response to global change drivers (GCDs). Here, we present a new framework that not only increases the predictive power of individual studies, but also allows for synthesis across GCD studies and ecosystems. First, we suggest that by quantifying community dissimilarity of replicates both among and within treatments, we can infer both the magnitude and predictability of community change, respectively. Second, we demonstrate the utility of integrating rank abundance curves with measures of community dissimilarity to understand the species-level dynamics driving community changes and propose a series of testable hypotheses linking changes in rank abundance curves with shifts in community dissimilarity. Finally, we review six case studies that demonstrate how our new conceptual framework can be applied. Overall, we present a new framework for holistically predicting community responses to GCDs that has broad applicability in this era of unprecedented global change and novel environmental conditions.en_US
dc.description.sponsorshipWe thank LTER Network Office for funding our working group and the National Socio-Environmental Synthesis Center for additional funding.en_US
dc.language.isoen_USen_US
dc.publisherEcological Society of Americaen_US
dc.relation.ispartofseriesEcosphere;v.6:no.12
dc.rightsOpen Access
dc.subjectBeta diversityen_US
dc.subjectCommunity dissimilarityen_US
dc.subjectConvergenceen_US
dc.subjectDivergenceen_US
dc.subjectMultivariate analysisen_US
dc.subjectNon-metric multidimensional scalingen_US
dc.subjectRank abundance curveen_US
dc.subjectSpecies compositionen_US
dc.titleA framework for quantifying the magnitude and variability of community responses to global change driversen_US
dc.typeArticleen_US
dc.rights.holderCopyright: © 2015 Avolio et al.en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record