ArticleConservation biology : the journal of the Society for Conservation Biology2014
Linking indices for biodiversity monitoring to extinction risk theory.
Article in Conservation biology : the journal of the Society for Conservation Biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Large-scale pyrodiversity is not needed to beget ant diversity in an Australian tropical savanna.Oecologia · 2025Article
- Critical Risk Indicators (CRIs) for the electric power grid: a survey and discussion of interconnected effects.Environment systems & decisions · 2021Article
- Dispersal responses override density effects on genetic diversity during post-disturbance succession.Proceedings. Biological sciences · 2016Article
- Connectivity, passability and heterogeneity interact to determine fish population persistence in river networks.Journal of the Royal Society, Interface · 2015Article
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Authors and funding
5 authors.
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Abstract
Biodiversity indices often combine data from different species when used in monitoring programs. Heuristic properties can suggest preferred indices, but we lack objective ways to discriminate between indices with similar heuristics. Biodiversity indices can be evaluated by determining how well they reflect management objectives that a monitoring program aims to support. For example, the Convention on Biological Diversity requires reporting about extinction rates, so simple indices that reflect extinction risk would be valuable. We developed 3 biodiversity indices that are based on simple models of population viability that relate extinction risk to abundance. We based the first index on the geometric mean abundance of species and the second on a more general power mean. In a third index, we integrated the geometric mean abundance and trend. These indices require the same data as previous indices, but they also relate directly to extinction risk. Field data for butterflies and woodland plants and experimental studies of protozoan communities show that the indices correlate with local extinction rates. Applying the index based on the geometric mean to global data on changes in avian abundance suggested that the average extinction probability of birds has increased approximately 1% from 1970 to 2009.
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