Linking Indices for Biodiversity Monitoring to Extinction Risk Theory

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...

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Main Authors:	Mccarthy, Michael A, Moore, Alana L, Krauss, Jochen, Morgan, John W, Clements, Christopher F
Format:	Online
Language:	English
Published:	BlackWell Publishing Ltd 2014
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4253318/

id	pubmed-4253318
recordtype	oai_dc
spelling	pubmed-42533182014-12-08 Linking Indices for Biodiversity Monitoring to Extinction Risk Theory Mccarthy, Michael A Moore, Alana L Krauss, Jochen Morgan, John W Clements, Christopher F Contributed Papers 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. BlackWell Publishing Ltd 2014-12 2014-05-12 /pmc/articles/PMC4253318/ /pubmed/24820139 http://dx.doi.org/10.1111/cobi.12308 Text en © 2014 The Authors. Conservation Biology published by Wiley Periodicals, Inc., on behalf of the Society for Conservation Biology. http://creativecommons.org/licenses/by/3.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Mccarthy, Michael A Moore, Alana L Krauss, Jochen Morgan, John W Clements, Christopher F
spellingShingle	Mccarthy, Michael A Moore, Alana L Krauss, Jochen Morgan, John W Clements, Christopher F Linking Indices for Biodiversity Monitoring to Extinction Risk Theory
author_facet	Mccarthy, Michael A Moore, Alana L Krauss, Jochen Morgan, John W Clements, Christopher F
author_sort	Mccarthy, Michael A
title	Linking Indices for Biodiversity Monitoring to Extinction Risk Theory
title_short	Linking Indices for Biodiversity Monitoring to Extinction Risk Theory
title_full	Linking Indices for Biodiversity Monitoring to Extinction Risk Theory
title_fullStr	Linking Indices for Biodiversity Monitoring to Extinction Risk Theory
title_full_unstemmed	Linking Indices for Biodiversity Monitoring to Extinction Risk Theory
title_sort	linking indices for biodiversity monitoring to extinction risk theory
description	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.
publisher	BlackWell Publishing Ltd
publishDate	2014
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4253318/
_version_	1613163339134795776

Linking Indices for Biodiversity Monitoring to Extinction Risk Theory

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