Modeling the spatial distribution of wolf (Canis lupus pallipes) attacks on human using genetic algorithm (GARP) in Hamedan province
In recent decades due to steady human population growth coupled with increased use of resources and habitat degradation, conflicts between humans and carnivores have greatly been expanded. In order to mitigate these conflicts based on a clear understanding of conflict patterns, applying the species...
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Isfahan University of Technology
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ftdoajarticles:oai:doaj.org/article:5830beec31464214a16df5382493b6df 2023-05-15T15:50:34+02:00 Modeling the spatial distribution of wolf (Canis lupus pallipes) attacks on human using genetic algorithm (GARP) in Hamedan province N Behdarvand M Kaboli R Ebrahimpour B Jabbarian Amiri 2012-06-01T00:00:00Z https://doaj.org/article/5830beec31464214a16df5382493b6df FA per Isfahan University of Technology http://ijae.iut.ac.ir/browse.php?a_code=A-10-1-1&slc_lang=en&sid=1 https://doaj.org/toc/2476-3128 https://doaj.org/toc/2476-3217 2476-3128 2476-3217 https://doaj.org/article/5830beec31464214a16df5382493b6df Iranian Journal of Applied Ecology, Vol 1, Iss 1, Pp 4-14 (2012) Hamedan province human-wolf conflict genetic algorithm for rule-set prediction (GARP) modeling distribution attacks Environmental sciences GE1-350 Ecology QH540-549.5 article 2012 ftdoajarticles 2022-12-31T14:04:43Z In recent decades due to steady human population growth coupled with increased use of resources and habitat degradation, conflicts between humans and carnivores have greatly been expanded. In order to mitigate these conflicts based on a clear understanding of conflict patterns, applying the species distribution models as helpful methods has been suggested. Occurring the recent conflict between wolves and local communities in Hamedan province is a clear case of this problem. In this study, capabilities of the genetic algorithm (GARP) were assessed in the modeling spatial distribution of wolf attacks in Hamedan province during 2006-2012. The area under the receiver operating characteristic curve (ROC) was used to evaluate performance of the model. Findings indicated that the applied modelingapproach has a very good performance (area under curve=0.856) inpredicting the spatial distribution of wolf attacks on humans. In addition, based on the results of sensitivity analysis, land-cover t ype, human population density and distance from main road were the most effective parameters. Findings of the present study can be applied in formulation of an adaptive management plan for wolf conservation and mitigation of the conflicts with local communities. Article in Journal/Newspaper Canis lupus Directory of Open Access Journals: DOAJ Articles |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
Persian |
topic |
Hamedan province human-wolf conflict genetic algorithm for rule-set prediction (GARP) modeling distribution attacks Environmental sciences GE1-350 Ecology QH540-549.5 |
spellingShingle |
Hamedan province human-wolf conflict genetic algorithm for rule-set prediction (GARP) modeling distribution attacks Environmental sciences GE1-350 Ecology QH540-549.5 N Behdarvand M Kaboli R Ebrahimpour B Jabbarian Amiri Modeling the spatial distribution of wolf (Canis lupus pallipes) attacks on human using genetic algorithm (GARP) in Hamedan province |
topic_facet |
Hamedan province human-wolf conflict genetic algorithm for rule-set prediction (GARP) modeling distribution attacks Environmental sciences GE1-350 Ecology QH540-549.5 |
description |
In recent decades due to steady human population growth coupled with increased use of resources and habitat degradation, conflicts between humans and carnivores have greatly been expanded. In order to mitigate these conflicts based on a clear understanding of conflict patterns, applying the species distribution models as helpful methods has been suggested. Occurring the recent conflict between wolves and local communities in Hamedan province is a clear case of this problem. In this study, capabilities of the genetic algorithm (GARP) were assessed in the modeling spatial distribution of wolf attacks in Hamedan province during 2006-2012. The area under the receiver operating characteristic curve (ROC) was used to evaluate performance of the model. Findings indicated that the applied modelingapproach has a very good performance (area under curve=0.856) inpredicting the spatial distribution of wolf attacks on humans. In addition, based on the results of sensitivity analysis, land-cover t ype, human population density and distance from main road were the most effective parameters. Findings of the present study can be applied in formulation of an adaptive management plan for wolf conservation and mitigation of the conflicts with local communities. |
format |
Article in Journal/Newspaper |
author |
N Behdarvand M Kaboli R Ebrahimpour B Jabbarian Amiri |
author_facet |
N Behdarvand M Kaboli R Ebrahimpour B Jabbarian Amiri |
author_sort |
N Behdarvand |
title |
Modeling the spatial distribution of wolf (Canis lupus pallipes) attacks on human using genetic algorithm (GARP) in Hamedan province |
title_short |
Modeling the spatial distribution of wolf (Canis lupus pallipes) attacks on human using genetic algorithm (GARP) in Hamedan province |
title_full |
Modeling the spatial distribution of wolf (Canis lupus pallipes) attacks on human using genetic algorithm (GARP) in Hamedan province |
title_fullStr |
Modeling the spatial distribution of wolf (Canis lupus pallipes) attacks on human using genetic algorithm (GARP) in Hamedan province |
title_full_unstemmed |
Modeling the spatial distribution of wolf (Canis lupus pallipes) attacks on human using genetic algorithm (GARP) in Hamedan province |
title_sort |
modeling the spatial distribution of wolf (canis lupus pallipes) attacks on human using genetic algorithm (garp) in hamedan province |
publisher |
Isfahan University of Technology |
publishDate |
2012 |
url |
https://doaj.org/article/5830beec31464214a16df5382493b6df |
genre |
Canis lupus |
genre_facet |
Canis lupus |
op_source |
Iranian Journal of Applied Ecology, Vol 1, Iss 1, Pp 4-14 (2012) |
op_relation |
http://ijae.iut.ac.ir/browse.php?a_code=A-10-1-1&slc_lang=en&sid=1 https://doaj.org/toc/2476-3128 https://doaj.org/toc/2476-3217 2476-3128 2476-3217 https://doaj.org/article/5830beec31464214a16df5382493b6df |
_version_ |
1766385557036859392 |