Evaluating Wildlife–Vehicle Collision Hotspots Using Kernel-Based Estimation: a Focus on the Endangered Asiatic Cheetah in Central Iran
The transportation networks within and adjacent to protected areas degrade natural habitats and contribute to a higher risk of mortality through roadkill. Following years of unplanned and unsustainable road network development in Iran, the protected areas of significant biodiversity value have suffe...
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Utah State University
2017
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fttriple:oai:gotriple.eu:oai:doaj.org/article:1d5570ac82644b06a81eede78ea77744 2023-05-15T15:50:53+02:00 Evaluating Wildlife–Vehicle Collision Hotspots Using Kernel-Based Estimation: a Focus on the Endangered Asiatic Cheetah in Central Iran Alireza Mohammadi Mohammad Kaboli 2017-02-01 https://doi.org/10.26077/0xjd-az08 https://doaj.org/article/1d5570ac82644b06a81eede78ea77744 en eng Utah State University doi:10.26077/0xjd-az08 2155-3874 https://doaj.org/article/1d5570ac82644b06a81eede78ea77744 undefined Human-Wildlife Interactions, Vol 10, Iss 1 (2017) acinonyx jubatus venaticus kalmand–bahadoran protected area kernel density estimation wildlife–vehicle collision envir geo Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2017 fttriple https://doi.org/10.26077/0xjd-az08 2023-01-22T18:55:31Z The transportation networks within and adjacent to protected areas degrade natural habitats and contribute to a higher risk of mortality through roadkill. Following years of unplanned and unsustainable road network development in Iran, the protected areas of significant biodiversity value have suffered from such phenomenon. Yazd Province, one of Iran’s important biodiversity reservoirs for large mammals, especially the Asiatic cheetah (Acinonyx jubatus venaticus), has witnessed a noticeable rate of road expansion along with an associated anthropogenic development. A large percentage (7 out of 50–70) of Asiatic cheetahs has been lost due to vehicle collisions in the region over the last decade. In this study, we employed a well-known spatially-explicit algorithm for density-based calculation of collision locations, adopting kernel density estimation method. We evaluated the location of 31 wildlife–vehicle collisions (WVCs) from 2007 to 2011, including 12 Persian gazelle (Gazella subgutturosa), 6 Asiatic cheetah, 5 striped hyena (Hyaena hyaena), 5 golden jackal (Canis aureus), 2 caracal (Caracal caracal), and 1 gray wolf (Canis lupus). Our results detected 4 hotspots of vehicle collisions in the Kalmand-Bahadoran Protected Area. The findings of this study could be employed to protect the populations of the Asiatic cheetah and other threatened species in this area. Potential mitigation strategies proposed include: wildlife warning sign usage, increasing public awareness, traffic devices to reduce vehicle speed in dangerous areas, utilization of warning lights for drivers, and improved crossing structures. Article in Journal/Newspaper Canis lupus gray wolf Unknown |
institution |
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collection |
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op_collection_id |
fttriple |
language |
English |
topic |
acinonyx jubatus venaticus kalmand–bahadoran protected area kernel density estimation wildlife–vehicle collision envir geo |
spellingShingle |
acinonyx jubatus venaticus kalmand–bahadoran protected area kernel density estimation wildlife–vehicle collision envir geo Alireza Mohammadi Mohammad Kaboli Evaluating Wildlife–Vehicle Collision Hotspots Using Kernel-Based Estimation: a Focus on the Endangered Asiatic Cheetah in Central Iran |
topic_facet |
acinonyx jubatus venaticus kalmand–bahadoran protected area kernel density estimation wildlife–vehicle collision envir geo |
description |
The transportation networks within and adjacent to protected areas degrade natural habitats and contribute to a higher risk of mortality through roadkill. Following years of unplanned and unsustainable road network development in Iran, the protected areas of significant biodiversity value have suffered from such phenomenon. Yazd Province, one of Iran’s important biodiversity reservoirs for large mammals, especially the Asiatic cheetah (Acinonyx jubatus venaticus), has witnessed a noticeable rate of road expansion along with an associated anthropogenic development. A large percentage (7 out of 50–70) of Asiatic cheetahs has been lost due to vehicle collisions in the region over the last decade. In this study, we employed a well-known spatially-explicit algorithm for density-based calculation of collision locations, adopting kernel density estimation method. We evaluated the location of 31 wildlife–vehicle collisions (WVCs) from 2007 to 2011, including 12 Persian gazelle (Gazella subgutturosa), 6 Asiatic cheetah, 5 striped hyena (Hyaena hyaena), 5 golden jackal (Canis aureus), 2 caracal (Caracal caracal), and 1 gray wolf (Canis lupus). Our results detected 4 hotspots of vehicle collisions in the Kalmand-Bahadoran Protected Area. The findings of this study could be employed to protect the populations of the Asiatic cheetah and other threatened species in this area. Potential mitigation strategies proposed include: wildlife warning sign usage, increasing public awareness, traffic devices to reduce vehicle speed in dangerous areas, utilization of warning lights for drivers, and improved crossing structures. |
format |
Article in Journal/Newspaper |
author |
Alireza Mohammadi Mohammad Kaboli |
author_facet |
Alireza Mohammadi Mohammad Kaboli |
author_sort |
Alireza Mohammadi |
title |
Evaluating Wildlife–Vehicle Collision Hotspots Using Kernel-Based Estimation: a Focus on the Endangered Asiatic Cheetah in Central Iran |
title_short |
Evaluating Wildlife–Vehicle Collision Hotspots Using Kernel-Based Estimation: a Focus on the Endangered Asiatic Cheetah in Central Iran |
title_full |
Evaluating Wildlife–Vehicle Collision Hotspots Using Kernel-Based Estimation: a Focus on the Endangered Asiatic Cheetah in Central Iran |
title_fullStr |
Evaluating Wildlife–Vehicle Collision Hotspots Using Kernel-Based Estimation: a Focus on the Endangered Asiatic Cheetah in Central Iran |
title_full_unstemmed |
Evaluating Wildlife–Vehicle Collision Hotspots Using Kernel-Based Estimation: a Focus on the Endangered Asiatic Cheetah in Central Iran |
title_sort |
evaluating wildlife–vehicle collision hotspots using kernel-based estimation: a focus on the endangered asiatic cheetah in central iran |
publisher |
Utah State University |
publishDate |
2017 |
url |
https://doi.org/10.26077/0xjd-az08 https://doaj.org/article/1d5570ac82644b06a81eede78ea77744 |
genre |
Canis lupus gray wolf |
genre_facet |
Canis lupus gray wolf |
op_source |
Human-Wildlife Interactions, Vol 10, Iss 1 (2017) |
op_relation |
doi:10.26077/0xjd-az08 2155-3874 https://doaj.org/article/1d5570ac82644b06a81eede78ea77744 |
op_rights |
undefined |
op_doi |
https://doi.org/10.26077/0xjd-az08 |
_version_ |
1766385903170748416 |