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Title: Quantifying temporal change in biodiversity: challenges and opportunities
Author: Dornelas, Maria
Magurran, Anne E.
Buckland, Stephen T.
Chao, Anne
Chazdon, Robin L.
Colwell, Robert K.
Curtis, Tom
Gaston, Kevin J.
Gotelli, Nicholas J.
Kosnik, Matthew A.
McGill, Brian
McCune, Jenny L.
Morlon, Hélène
Mumby, Peter J.
Ovreås, Lise
Studeny, Angelika
Vellend, Mark
Keywords: Biological diversity
Legacy data
Global change
Issue Date: 2012
Publisher: Royal Society, The
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.
Peer review: yes
DOI: 10.1098/rspb.2012.1931
ISSN: 0962-8452
Appears in Collections:CESAM - Artigos
DBio - Artigos

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