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Uncertainty in identifying local extinctions: the distribution of missing data and its effects on biodiversity measures
Identifying local extinctions is integral to estimating species richness and geographic range changes and informing extinction risk assessments. However, the species occurrence records underpinning these estimates are frequently compromised by a lack of recorded species absences making it impossible...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4843216/ https://www.ncbi.nlm.nih.gov/pubmed/26961894 http://dx.doi.org/10.1098/rsbl.2015.0824 |
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author | Boakes, Elizabeth H. Fuller, Richard A. McGowan, Philip J. K. Mace, Georgina M. |
author_facet | Boakes, Elizabeth H. Fuller, Richard A. McGowan, Philip J. K. Mace, Georgina M. |
author_sort | Boakes, Elizabeth H. |
collection | PubMed |
description | Identifying local extinctions is integral to estimating species richness and geographic range changes and informing extinction risk assessments. However, the species occurrence records underpinning these estimates are frequently compromised by a lack of recorded species absences making it impossible to distinguish between local extinction and lack of survey effort—for a rigorously compiled database of European and Asian Galliformes, approximately 40% of half-degree cells contain records from before but not after 1980. We investigate the distribution of these cells, finding differences between the Palaearctic (forests, low mean human influence index (HII), outside protected areas (PAs)) and Indo-Malaya (grassland, high mean HII, outside PAs). Such cells also occur more in less peaceful countries. We show that different interpretations of these cells can lead to large over/under-estimations of species richness and extent of occurrences, potentially misleading prioritization and extinction risk assessment schemes. To avoid mistakes, local extinctions inferred from sightings records need to account for the history of survey effort in a locality. |
format | Online Article Text |
id | pubmed-4843216 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-48432162016-04-26 Uncertainty in identifying local extinctions: the distribution of missing data and its effects on biodiversity measures Boakes, Elizabeth H. Fuller, Richard A. McGowan, Philip J. K. Mace, Georgina M. Biol Lett Special Feature Identifying local extinctions is integral to estimating species richness and geographic range changes and informing extinction risk assessments. However, the species occurrence records underpinning these estimates are frequently compromised by a lack of recorded species absences making it impossible to distinguish between local extinction and lack of survey effort—for a rigorously compiled database of European and Asian Galliformes, approximately 40% of half-degree cells contain records from before but not after 1980. We investigate the distribution of these cells, finding differences between the Palaearctic (forests, low mean human influence index (HII), outside protected areas (PAs)) and Indo-Malaya (grassland, high mean HII, outside PAs). Such cells also occur more in less peaceful countries. We show that different interpretations of these cells can lead to large over/under-estimations of species richness and extent of occurrences, potentially misleading prioritization and extinction risk assessment schemes. To avoid mistakes, local extinctions inferred from sightings records need to account for the history of survey effort in a locality. The Royal Society 2016-03 /pmc/articles/PMC4843216/ /pubmed/26961894 http://dx.doi.org/10.1098/rsbl.2015.0824 Text en © 2016 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Special Feature Boakes, Elizabeth H. Fuller, Richard A. McGowan, Philip J. K. Mace, Georgina M. Uncertainty in identifying local extinctions: the distribution of missing data and its effects on biodiversity measures |
title | Uncertainty in identifying local extinctions: the distribution of missing data and its effects on biodiversity measures |
title_full | Uncertainty in identifying local extinctions: the distribution of missing data and its effects on biodiversity measures |
title_fullStr | Uncertainty in identifying local extinctions: the distribution of missing data and its effects on biodiversity measures |
title_full_unstemmed | Uncertainty in identifying local extinctions: the distribution of missing data and its effects on biodiversity measures |
title_short | Uncertainty in identifying local extinctions: the distribution of missing data and its effects on biodiversity measures |
title_sort | uncertainty in identifying local extinctions: the distribution of missing data and its effects on biodiversity measures |
topic | Special Feature |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4843216/ https://www.ncbi.nlm.nih.gov/pubmed/26961894 http://dx.doi.org/10.1098/rsbl.2015.0824 |
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