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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Bibliographic Details
Main Authors: Alireza Mohammadi, Mohammad Kaboli
Format: Article in Journal/Newspaper
Language:English
Published: Utah State University 2017
Subjects:
geo
Online Access:https://doi.org/10.26077/0xjd-az08
https://doaj.org/article/1d5570ac82644b06a81eede78ea77744
id fttriple:oai:gotriple.eu:oai:doaj.org/article:1d5570ac82644b06a81eede78ea77744
record_format openpolar
spelling 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 Open Polar
collection Unknown
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
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