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Uncertainty in identifying local extinctions: the distribution of missing data and its effects on biodiversity measures
Author(s) -
Elizabeth H. Boakes,
Richard A. Fuller,
Philip J.K. McGowan,
Georgina M. Mace
Publication year - 2016
Publication title -
biology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.596
H-Index - 110
eISSN - 1744-957X
pISSN - 1744-9561
DOI - 10.1098/rsbl.2015.0824
Subject(s) - extinction (optical mineralogy) , species richness , biodiversity , ecology , grassland , biology , range (aeronautics) , local extinction , prioritization , distribution (mathematics) , geography , demography , population , biological dispersal , paleontology , mathematical analysis , materials science , mathematics , management science , sociology , economics , composite material
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.

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