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Multi-Scale Spatial Prediction of Wild Boar Damage Risk in Hunchun: A Key Tiger Range in China

SIMPLE SUMMARY: Spatial distribution of wild boar damage risk is important and can be informative to wildlife habitat management. Hunchun is an important active area of Siberian tiger in China. The wild boar damage has brought barriers to the conservation and management of the Siberian tiger in this...

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Autores principales: Jin, Yongchao, Kong, Weiyao, Yan, Hong, Bao, Guangdao, Liu, Ting, Ma, Qiongfang, Li, Xinhai, Zou, Hongfei, Zhang, Minghai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065966/
https://www.ncbi.nlm.nih.gov/pubmed/33916796
http://dx.doi.org/10.3390/ani11041012
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author Jin, Yongchao
Kong, Weiyao
Yan, Hong
Bao, Guangdao
Liu, Ting
Ma, Qiongfang
Li, Xinhai
Zou, Hongfei
Zhang, Minghai
author_facet Jin, Yongchao
Kong, Weiyao
Yan, Hong
Bao, Guangdao
Liu, Ting
Ma, Qiongfang
Li, Xinhai
Zou, Hongfei
Zhang, Minghai
author_sort Jin, Yongchao
collection PubMed
description SIMPLE SUMMARY: Spatial distribution of wild boar damage risk is important and can be informative to wildlife habitat management. Hunchun is an important active area of Siberian tiger in China. The wild boar damage has brought barriers to the conservation and management of the Siberian tiger in this region. We predicted the spatial distribution of wild boar damage risk in Hunchun in terms of home range and feeding sites scales, and explored the spatial interaction between tiger habitats and the damage risk of wild boar. The results show the distance to the forest edge is an important factor affecting the wild boar damage, and 38.68% of the high-risk areas are overlapped with tiger habitats in Hunchun. Therefore, precise and differentiated management strategies should be adopted in the management of wild boar population. ABSTRACT: Hunchun, a typical area suffering wild boar (Sus scrofa) damage, is an important region for the Siberian Tiger (Panthera tigris) in China. By incorporating the maximum entropy model with 22 variables in the home range scale (12 variables) and in the feeding site scale (10 variables), we predicted wild boar damage risks in this area of China and analyzed how spatial factors influence damage risk. Damage risk was found to be high in areas close to the forest edge, areas with a higher forest cover and lower to medium deciduous forest proportion, low road density, and a medium river density and farmland proportion. The proportion of farmland which was identified as being in the high damage risk zone was 23.55%, of which 38.68% was within the habitat area of the Siberian Tiger. Finally, we propose wild boar damage prevention based on different management goals.
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spelling pubmed-80659662021-04-25 Multi-Scale Spatial Prediction of Wild Boar Damage Risk in Hunchun: A Key Tiger Range in China Jin, Yongchao Kong, Weiyao Yan, Hong Bao, Guangdao Liu, Ting Ma, Qiongfang Li, Xinhai Zou, Hongfei Zhang, Minghai Animals (Basel) Article SIMPLE SUMMARY: Spatial distribution of wild boar damage risk is important and can be informative to wildlife habitat management. Hunchun is an important active area of Siberian tiger in China. The wild boar damage has brought barriers to the conservation and management of the Siberian tiger in this region. We predicted the spatial distribution of wild boar damage risk in Hunchun in terms of home range and feeding sites scales, and explored the spatial interaction between tiger habitats and the damage risk of wild boar. The results show the distance to the forest edge is an important factor affecting the wild boar damage, and 38.68% of the high-risk areas are overlapped with tiger habitats in Hunchun. Therefore, precise and differentiated management strategies should be adopted in the management of wild boar population. ABSTRACT: Hunchun, a typical area suffering wild boar (Sus scrofa) damage, is an important region for the Siberian Tiger (Panthera tigris) in China. By incorporating the maximum entropy model with 22 variables in the home range scale (12 variables) and in the feeding site scale (10 variables), we predicted wild boar damage risks in this area of China and analyzed how spatial factors influence damage risk. Damage risk was found to be high in areas close to the forest edge, areas with a higher forest cover and lower to medium deciduous forest proportion, low road density, and a medium river density and farmland proportion. The proportion of farmland which was identified as being in the high damage risk zone was 23.55%, of which 38.68% was within the habitat area of the Siberian Tiger. Finally, we propose wild boar damage prevention based on different management goals. MDPI 2021-04-03 /pmc/articles/PMC8065966/ /pubmed/33916796 http://dx.doi.org/10.3390/ani11041012 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jin, Yongchao
Kong, Weiyao
Yan, Hong
Bao, Guangdao
Liu, Ting
Ma, Qiongfang
Li, Xinhai
Zou, Hongfei
Zhang, Minghai
Multi-Scale Spatial Prediction of Wild Boar Damage Risk in Hunchun: A Key Tiger Range in China
title Multi-Scale Spatial Prediction of Wild Boar Damage Risk in Hunchun: A Key Tiger Range in China
title_full Multi-Scale Spatial Prediction of Wild Boar Damage Risk in Hunchun: A Key Tiger Range in China
title_fullStr Multi-Scale Spatial Prediction of Wild Boar Damage Risk in Hunchun: A Key Tiger Range in China
title_full_unstemmed Multi-Scale Spatial Prediction of Wild Boar Damage Risk in Hunchun: A Key Tiger Range in China
title_short Multi-Scale Spatial Prediction of Wild Boar Damage Risk in Hunchun: A Key Tiger Range in China
title_sort multi-scale spatial prediction of wild boar damage risk in hunchun: a key tiger range in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065966/
https://www.ncbi.nlm.nih.gov/pubmed/33916796
http://dx.doi.org/10.3390/ani11041012
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