Applying remotely sensed habitat descriptors to assist reintroduction programs: A case study in the hazel dormouse

Abstract For reintroduction programs to succeed, it is vital to identify suitable release sites. This is especially true for low dispersing habitat specialists, which are at particular risk from habitat fragmentation. The habitat specialist Muscardinus avellanarius (hazel dormouse) is part of a larg...

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Autores principales: Emma L. Cartledge, Melanie Baker, Ian White, Andrea Powell, Ben Gregory, Martin Varley, Jane L. Hurst, Paula Stockley
Formato: article
Lenguaje:EN
Publicado: Wiley 2021
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GIS
Acceso en línea:https://doaj.org/article/346b8dee1382413db9a7cee3c29d5027
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spelling oai:doaj.org-article:346b8dee1382413db9a7cee3c29d50272021-12-01T10:20:57ZApplying remotely sensed habitat descriptors to assist reintroduction programs: A case study in the hazel dormouse2578-485410.1111/csp2.544https://doaj.org/article/346b8dee1382413db9a7cee3c29d50272021-12-01T00:00:00Zhttps://doi.org/10.1111/csp2.544https://doaj.org/toc/2578-4854Abstract For reintroduction programs to succeed, it is vital to identify suitable release sites. This is especially true for low dispersing habitat specialists, which are at particular risk from habitat fragmentation. The habitat specialist Muscardinus avellanarius (hazel dormouse) is part of a large‐scale reintroduction program in the UK. The program began in 1993 and has so far had varying levels of long‐term success across 24 sites. Although the causes of population persistence at reintroduction sites are not well understood, continued habitat suitability is hypothesized to play an important role. Here, we establish broad‐scale habitat descriptors associated with the current distribution of natural hazel dormouse populations in England, using ecological niche factor analysis and remotely sensed, open‐source maps. We also apply generalized linear mixed effects models to long‐term monitoring data for reintroduced hazel dormouse populations, revealing that broad‐scale habitat factors strongly influence the number of animals present in nest boxes. To aid conservation practitioners in future site selection, we illustrate the practical application of habitat suitability mapping to help prioritize the most appropriate woodlands for future hazel dormouse reintroductions, using the county of Cheshire as an example. Although demonstrated here for the hazel dormouse, this approach to reintroduction site selection could be beneficial to a broad range of species.Emma L. CartledgeMelanie BakerIan WhiteAndrea PowellBen GregoryMartin VarleyJane L. HurstPaula StockleyWileyarticleCENFAGIShabitat suitability analysishazel dormouseMuscardinus avellanariuspopulation analysisEcologyQH540-549.5General. Including nature conservation, geographical distributionQH1-199.5ENConservation Science and Practice, Vol 3, Iss 12, Pp n/a-n/a (2021)
institution DOAJ
collection DOAJ
language EN
topic CENFA
GIS
habitat suitability analysis
hazel dormouse
Muscardinus avellanarius
population analysis
Ecology
QH540-549.5
General. Including nature conservation, geographical distribution
QH1-199.5
spellingShingle CENFA
GIS
habitat suitability analysis
hazel dormouse
Muscardinus avellanarius
population analysis
Ecology
QH540-549.5
General. Including nature conservation, geographical distribution
QH1-199.5
Emma L. Cartledge
Melanie Baker
Ian White
Andrea Powell
Ben Gregory
Martin Varley
Jane L. Hurst
Paula Stockley
Applying remotely sensed habitat descriptors to assist reintroduction programs: A case study in the hazel dormouse
description Abstract For reintroduction programs to succeed, it is vital to identify suitable release sites. This is especially true for low dispersing habitat specialists, which are at particular risk from habitat fragmentation. The habitat specialist Muscardinus avellanarius (hazel dormouse) is part of a large‐scale reintroduction program in the UK. The program began in 1993 and has so far had varying levels of long‐term success across 24 sites. Although the causes of population persistence at reintroduction sites are not well understood, continued habitat suitability is hypothesized to play an important role. Here, we establish broad‐scale habitat descriptors associated with the current distribution of natural hazel dormouse populations in England, using ecological niche factor analysis and remotely sensed, open‐source maps. We also apply generalized linear mixed effects models to long‐term monitoring data for reintroduced hazel dormouse populations, revealing that broad‐scale habitat factors strongly influence the number of animals present in nest boxes. To aid conservation practitioners in future site selection, we illustrate the practical application of habitat suitability mapping to help prioritize the most appropriate woodlands for future hazel dormouse reintroductions, using the county of Cheshire as an example. Although demonstrated here for the hazel dormouse, this approach to reintroduction site selection could be beneficial to a broad range of species.
format article
author Emma L. Cartledge
Melanie Baker
Ian White
Andrea Powell
Ben Gregory
Martin Varley
Jane L. Hurst
Paula Stockley
author_facet Emma L. Cartledge
Melanie Baker
Ian White
Andrea Powell
Ben Gregory
Martin Varley
Jane L. Hurst
Paula Stockley
author_sort Emma L. Cartledge
title Applying remotely sensed habitat descriptors to assist reintroduction programs: A case study in the hazel dormouse
title_short Applying remotely sensed habitat descriptors to assist reintroduction programs: A case study in the hazel dormouse
title_full Applying remotely sensed habitat descriptors to assist reintroduction programs: A case study in the hazel dormouse
title_fullStr Applying remotely sensed habitat descriptors to assist reintroduction programs: A case study in the hazel dormouse
title_full_unstemmed Applying remotely sensed habitat descriptors to assist reintroduction programs: A case study in the hazel dormouse
title_sort applying remotely sensed habitat descriptors to assist reintroduction programs: a case study in the hazel dormouse
publisher Wiley
publishDate 2021
url https://doaj.org/article/346b8dee1382413db9a7cee3c29d5027
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