2005
DOI: 10.1098/rstb.2004.1589
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Monitoring change in biodiversity through composite indices

Abstract: The need to monitor trends in biodiversity raises many technical issues. What are the features of a good biodiversity index? How should trends in abundance of individual species be estimated? How should composite indices, possibly spanning very diverse taxa, be formed? At what spatial scale should composite indices be applied? How might change-points-points at which the underlying trend changes-be identified? We address some of the technical issues underlying composite indices, including survey design, weighti… Show more

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Cited by 330 publications
(319 citation statements)
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“…Three aspects are of primary interest on a diversity study (Buckland et al 2005): number of species, overall abundance, and species evenness. We evaluated various parameters in an attempt to fully cover those three factors.…”
Section: Methodsmentioning
confidence: 99%
“…Three aspects are of primary interest on a diversity study (Buckland et al 2005): number of species, overall abundance, and species evenness. We evaluated various parameters in an attempt to fully cover those three factors.…”
Section: Methodsmentioning
confidence: 99%
“…The concept of information entropy has been adopted in fields such as ecology as a measure of the diversity of an ecosystem (34,35). For example, if N different species occur in a region, each with an associated population density d, then p i is defined by H then serves as a measure of the biodiversity of the region under consideration, tending toward log N when all species are equally abundant and tending toward 0 when one species predominates.…”
Section: Theorymentioning
confidence: 99%
“…In such cases great care must be taken, in analysing emergent trends, to retrospectively stratify the data (by region, taxon, etc.) and to then use weighting procedures to estimate overall trends (see Buckland et al 2005;Loh et al 2005;Cô té et al 2005;Nic Lugadha et al 2005 for guidelines). There is considerable scope for the development and wider implementation of improved methods (Buckland et al 2005) for post-stratification, and the calculation of indicators, but indicators that depend upon incomplete existing data collected for other purposes will always be weakened by the impossibility of excluding all potential sources of bias.…”
Section: Cross-cutting Issuesmentioning
confidence: 99%