Show simple item record Brown, Christopher J. Schoeman, David S. Sydeman, William J. Brander, Keith Buckley, Lauren B. Burrows, Michael Duarte, Carlos M. Moore, P. J. Pandolfi, John M. Poloczanska, Elvira Venables, William Richardson, Anthony J. 2012-01-16T09:23:33Z 2012-01-16T09:23:33Z 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 . DOI: 10.1111/j.1365-2486.2011.02531.x en
dc.identifier.issn 1354-1013
dc.identifier.other PURE: 174828
dc.identifier.other PURE UUID: 8c12f02e-244a-42a2-afe1-f7a118e9a17a
dc.identifier.other dspace: 2160/7739
dc.identifier.other DSpace_20121128.csv: row: 4597
dc.identifier.other IBERS: 0000019111
dc.identifier.other Ibers_20121112_1204.csv: row: 1082
dc.identifier.other RAD: 10412
dc.identifier.other RAD_Outputs_All_ID_Import_20121105.csv: row: 3654
dc.identifier.other Scopus: 80054704157
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.rights en
dc.title Quantitative approaches in climate change ecology en
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article en
dc.contributor.institution Institute of Biological, Environmental and Rural Sciences en
dc.description.status Peer reviewed en

Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search Cadair

Advanced Search