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Conserv Biol. 2018 Feb;32(1):229-239. doi: 10.1111/cobi.12979. Epub 2017 Nov 8.

Examining the relationship between local extinction risk and position in range.

Author information

1
Centre for Biodiversity and Environment Research, University College London, Gower Street, London, WC1E 6BT, U.K.
2
NERC Centre for Ecology and Hydrology, Wallingford, Oxfordshire, OX10 8BB, U.K.
3
School of Biological Sciences, University of Queensland, Brisbane, QLD 4072, Australia.
4
School of Biology, Newcastle University, Newcastle upon Tyne, NE1 7RU, U.K.

Abstract

Over half of globally threatened animal species have experienced rapid geographic range loss. Identifying the parts of species' distributions most vulnerable to local extinction would benefit conservation planning. However, previous studies give little consensus on whether ranges decline to the core or edge. We built on previous work by using empirical data to examine the position of recent local extinctions within species' geographic ranges, address range position as a continuum, and explore the influence of environmental factors. We aggregated point-locality data for 125 Galliform species from across the Palearctic and Indo-Malaya into equal-area half-degree grid cells and used a multispecies dynamic Bayesian occupancy model to estimate rates of local extinctions. Our model provides a novel approach to identify loss of populations from within species ranges. We investigated the relationship between extinction rates and distance from range edge by examining whether patterns were consistent across biogeographic realm and different categories of land use. In the Palearctic, local extinctions occurred closer to the range edge than range core in both unconverted and human-dominated landscapes. In Indo-Malaya, no pattern was found for unconverted landscapes, but in human-dominated landscapes extinctions tended to occur closer to the core than the edge. Our results suggest that local and regional factors override general spatial patterns of recent local extinction within species' ranges and highlight the difficulty of predicting the parts of a species' distribution most vulnerable to threat.

KEYWORDS:

Galliformes; biodiversity monitoring; cambio en el uso de suelo; distribución de especies; dynamic occupancy model; ecología espacial; extensión geográfica; geographic range; land-use change; modelo de ocupación dinámica; monitoreo de la biodiversidad; multispecies model; spatial ecology; species distribution

PMID:
28678438
DOI:
10.1111/cobi.12979

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