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Measuring temporal trends in biodiversity

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Buckland_2017_AStA_TemporalTrends_CC.pdf (336.5Kb)
Date
10/2017
Author
Buckland, S. T.
Yuan, Y.
Marcon, Eric
Funder
EPSRC
Grant ID
EP/I000917/1
Keywords
Biodiversity measures
Diversity profiles
Geometric mean
Species similarity
Turnover measures
QH301 Biology
T-NDAS
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Abstract
In 2002, nearly 200 nations signed up to the 2010 target of the Convention for Biological Diversity, ‘to significantly reduce the rate of biodiversity loss by 2010’. In order to assess whether the target was met, it became necessary to quantify temporal trends in measures of diversity. This resulted in a marked shift in focus for biodiversity measurement. We explore the developments in measuring biodiversity that were prompted by the 2010 target. We consider measures based on species proportions, and also explain why a geometric mean of relative abundance estimates was preferred to such measures for assessing progress towards the target. We look at the use of diversity profiles, and consider how species similarity can be incorporated into diversity measures. We also discuss measures of turnover that can be used to quantify shifts in community composition arising for example from climate change.
Citation
Buckland , S T , Yuan , Y & Marcon , E 2017 , ' Measuring temporal trends in biodiversity ' , Advances in Statistical Analysis , vol. 101 , no. 4 , pp. 461-474 . https://doi.org/10.1007/s10182-017-0308-1
Publication
Advances in Statistical Analysis
Status
Peer reviewed
DOI
https://doi.org/10.1007/s10182-017-0308-1
ISSN
1863-8171
Type
Journal article
Rights
© The Author(s) 2017. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Description
Yuan was part-funded by EPSRC/NERC Grant EP/1000917/1 and Marcon by ANR-10-LABX-25-01.
Collections
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/11534

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