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dc.contributor.author Brown, Christopher J.
dc.contributor.author Schoeman, David S.
dc.contributor.author Sydeman, William J.
dc.contributor.author Brander, Keith
dc.contributor.author Buckley, Lauren B.
dc.contributor.author Burrows, Michael
dc.contributor.author Duarte, Carlos M.
dc.contributor.author Moore, P. J.
dc.contributor.author Pandolfi, John M.
dc.contributor.author Poloczanska, Elvira
dc.contributor.author Venables, William
dc.contributor.author Richardson, Anthony J.
dc.date.accessioned 2012-01-16T09:23:33Z
dc.date.available 2012-01-16T09:23:33Z
dc.date.issued 2011-12-01
dc.identifier.citation Brown , C J , Schoeman , D S , Sydeman , W J , Brander , K , Buckley , L B , Burrows , M , Duarte , C M , Moore , P J , Pandolfi , J M , Poloczanska , E , Venables , W & Richardson , A J 2011 , ' Quantitative approaches in climate change ecology ' Global Change Biology , vol 17 , no. 12 , pp. 3697-3713 . , 10.1111/j.1365-2486.2011.02531.x en
dc.identifier.issn 1354-1013
dc.identifier.other PURE: 174828
dc.identifier.other dspace: 2160/7739
dc.identifier.uri http://hdl.handle.net/2160/7739
dc.description Brown, C. J., Schoeman, D. S., Sydeman, W. J., Brander, K., Buckley, L. B., Burrows, M., Duarte, C. M., Moore, P. J., Pandolfi, J. M., Poloczanska, E., Venables, W., Richardson, A. J. (2011). Quantitative approaches in climate change ecology. Global Change Biology, 17, (12), 3697-3713. Accepted IMPF: 06.86 en
dc.description.abstract Contemporary impacts of anthropogenic climate change on ecosystems are increasingly being recognized. Documenting the extent of these impacts requires quantitative tools for analyses of ecological observations to distinguish climate impacts in noisy data and to understand interactions between climate variability and other drivers of change. To assist the development of reliable statistical approaches, we review the marine climate change literature and provide suggestions for quantitative approaches in climate change ecology. We compiled 267 peer-reviewed articles that examined relationships between climate change and marine ecological variables. Of the articles with time series data (n = 186), 75% used statistics to test for a dependency of ecological variables on climate variables. We identified several common weaknesses in statistical approaches, including marginalizing other important non-climate drivers of change, ignoring temporal and spatial autocorrelation, averaging across spatial patterns and not reporting key metrics. We provide a list of issues that need to be addressed to make inferences more defensible, including the consideration of (i) data limitations and the comparability of data sets; (ii) alternative mechanisms for change; (iii) appropriate response variables; (iv) a suitable model for the process under study; (v) temporal autocorrelation; (vi) spatial autocorrelation and patterns; and (vii) the reporting of rates of change. While the focus of our review was marine studies, these suggestions are equally applicable to terrestrial studies. Consideration of these suggestions will help advance global knowledge of climate impacts and understanding of the processes driving ecological change. en
dc.format.extent 17 en
dc.language.iso eng
dc.relation.ispartof Global Change Biology en
dc.title Quantitative approaches in climate change ecology en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.identifier.doi http://dx.doi.org/10.1111/j.1365-2486.2011.02531.x
dc.contributor.institution Institute of Biological, Environmental and Rural Sciences en
dc.description.status Peer reviewed en


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