| Autor: |
Dornelas M; Scottish Oceans Institute and Centre for Biological Diversity, School of Biology, University of St Andrews, East Sands, KY16 8LB, UK. maadd@st-andrews.ac.uk, Magurran AE, Buckland ST, Chao A, Chazdon RL, Colwell RK, Curtis T, Gaston KJ, Gotelli NJ, Kosnik MA, McGill B, McCune JL, Morlon H, Mumby PJ, Ovreås L, Studeny A, Vellend M |
| Jazyk: |
angličtina |
| Zdroj: |
Proceedings. Biological sciences [Proc Biol Sci] 2013 Jan 07; Vol. 280 (1750), pp. 20121931. Date of Electronic Publication: 2012 Oct 24. |
| DOI: |
10.1098/rspb.2012.1931 |
| Abstrakt: |
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. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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