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Title: Quantifying temporal change in biodiversity : challenges and opportunities
Authors: Dornelas, Maria
Magurran, Anne
Buckland, Stephen Terrence
Chao, Anne
Chazdon, Robin L
Colwell, Robert K
Curtis, Tom
Gaston, Kevin J
Gotelli, Nicolas J
Kosnik, Matthew A
McGill, Brian
McCune, Jenny L
Morlon, Hélène
Mumby, Peter J
Øvreås, Lise
Studeny, Angelika
Vellend, Mark
Keywords: Biological diversity
Time
Legacy data
Traits
Global change
Conservation
QH301 Biology
Issue Date: 7-Jan-2013
Citation: Dornelas , M , Magurran , A , Buckland , S T , Chao , A , Chazdon , R L , Colwell , R K , Curtis , T , Gaston , K J , Gotelli , N J , Kosnik , M A , McGill , B , McCune , J L , Morlon , H , Mumby , P J , Øvreås , L , Studeny , A & Vellend , M 2013 , ' Quantifying temporal change in biodiversity : challenges and opportunities ' Proceedings of the Royal Society B: Biological Sciences , vol 280 , no. 1750 , 20121931 .
Abstract: Growing concern about biodiversity loss underscores the need to quantify and understand temporal change. Here, we review the opportunities presented by biodiversity time series, and address three related issues: (i) recognizing the characteristics of temporal data; (ii) selecting appropriate statistical procedures for analysing temporal data; and (iii) inferring and forecasting biodiversity change. With regard to the first issue, we draw attention to defining characteristics of biodiversity time series—lack of physical boundaries, uni-dimensionality, autocorrelation and directionality—that inform the choice of analytic methods. Second, we explore methods of quantifying change in biodiversity at different timescales, noting that autocorrelation can be viewed as a feature that sheds light on the underlying structure of temporal change. Finally, we address the transition from inferring to forecasting biodiversity change, highlighting potential pitfalls associated with phase-shifts and novel conditions.
Version: Publisher PDF
Status: Peer reviewed
URI: http://hdl.handle.net/10023/3284
DOI: http://dx.doi.org/10.1098/rspb.2012.1931
ISSN: 0962-8452
Type: Journal article
Rights: © 2012 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/, which permits unrestricted use, provided the original author and source are credited.
Appears in Collections:Scottish Oceans Institute Research
St Andrews Sustainablity Institute Research
Institute of Behavioural and Neural Sciences Research
Centre for Research into Ecological & Environmental Modelling (CREEM) Research
Mathematics & Statistics Research
Biology Research
University of St Andrews Research



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