Journal
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
Volume 280, Issue 1750, Pages -Publisher
ROYAL SOC
DOI: 10.1098/rspb.2012.1931
Keywords
biological diversity; time; legacy data; traits; global change; conservation
Categories
Funding
- European Research Council [BioTIME 250189]
- Engineering and Physical Sciences Research Council [EP/F008473/1] Funding Source: researchfish
- EPSRC [EP/F008473/1] Funding Source: UKRI
- Direct For Biological Sciences
- Division Of Environmental Biology [1147429] Funding Source: National Science Foundation
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available