Prediction of Sites with a High Probability of Wild Mammal Roadkill Using a Favourability Function

Roads are one of the main causes of loss of biodiversity, with roadkill one of the main causes of mortality. The aim of this research was to identify sites with a high probability of roadkill of medium and large mammals, and the environmental variables that would explain it. We used the favourabilit...

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Autores principales:	Hugo Ignacio Coitiño, Marcel Achkar, José Carlos Guerrero
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	road mitigation potential distribution models mortality hotspot Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/c5b0fd4bcd8c4e12b6e0fbfdcdffd676
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spelling	oai:doaj.org-article:c5b0fd4bcd8c4e12b6e0fbfdcdffd6762021-11-25T17:22:54ZPrediction of Sites with a High Probability of Wild Mammal Roadkill Using a Favourability Function10.3390/d131105851424-2818https://doaj.org/article/c5b0fd4bcd8c4e12b6e0fbfdcdffd6762021-11-01T00:00:00Zhttps://www.mdpi.com/1424-2818/13/11/585https://doaj.org/toc/1424-2818Roads are one of the main causes of loss of biodiversity, with roadkill one of the main causes of mortality. The aim of this research was to identify sites with a high probability of roadkill of medium and large mammals, and the environmental variables that would explain it. We used the favourability function (F) to build the predictive models. There were 57 explanatory variables, and we collected 685 records of 10 species of medium and large native wild mammals from the ECOBIO Uruguay databases. They were grouped into native forest and grassland species, according to the main habitat. Two models were developed, one with all the variables and one with the anthropogenic variables. For both groups, the model obtained with all the variables was the most significant according to the evaluation indices used. This made it possible to identify the hot spots of roadkill (F > 0.6) for each of the groups. The anthropic variables were the ones that best explained these hot spots. This allowed the identification of sites where the probability of roadkill is high and requires a monitoring plan to implement mitigation measures in the future.Hugo Ignacio CoitiñoMarcel AchkarJosé Carlos GuerreroMDPI AGarticleroad mitigationpotential distribution modelsmortality hotspotBiology (General)QH301-705.5ENDiversity, Vol 13, Iss 585, p 585 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	road mitigation potential distribution models mortality hotspot Biology (General) QH301-705.5
spellingShingle	road mitigation potential distribution models mortality hotspot Biology (General) QH301-705.5 Hugo Ignacio Coitiño Marcel Achkar José Carlos Guerrero Prediction of Sites with a High Probability of Wild Mammal Roadkill Using a Favourability Function
description	Roads are one of the main causes of loss of biodiversity, with roadkill one of the main causes of mortality. The aim of this research was to identify sites with a high probability of roadkill of medium and large mammals, and the environmental variables that would explain it. We used the favourability function (F) to build the predictive models. There were 57 explanatory variables, and we collected 685 records of 10 species of medium and large native wild mammals from the ECOBIO Uruguay databases. They were grouped into native forest and grassland species, according to the main habitat. Two models were developed, one with all the variables and one with the anthropogenic variables. For both groups, the model obtained with all the variables was the most significant according to the evaluation indices used. This made it possible to identify the hot spots of roadkill (F > 0.6) for each of the groups. The anthropic variables were the ones that best explained these hot spots. This allowed the identification of sites where the probability of roadkill is high and requires a monitoring plan to implement mitigation measures in the future.
format	article
author	Hugo Ignacio Coitiño Marcel Achkar José Carlos Guerrero
author_facet	Hugo Ignacio Coitiño Marcel Achkar José Carlos Guerrero
author_sort	Hugo Ignacio Coitiño
title	Prediction of Sites with a High Probability of Wild Mammal Roadkill Using a Favourability Function
title_short	Prediction of Sites with a High Probability of Wild Mammal Roadkill Using a Favourability Function
title_full	Prediction of Sites with a High Probability of Wild Mammal Roadkill Using a Favourability Function
title_fullStr	Prediction of Sites with a High Probability of Wild Mammal Roadkill Using a Favourability Function
title_full_unstemmed	Prediction of Sites with a High Probability of Wild Mammal Roadkill Using a Favourability Function
title_sort	prediction of sites with a high probability of wild mammal roadkill using a favourability function
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/c5b0fd4bcd8c4e12b6e0fbfdcdffd676
work_keys_str_mv	AT hugoignaciocoitino predictionofsiteswithahighprobabilityofwildmammalroadkillusingafavourabilityfunction AT marcelachkar predictionofsiteswithahighprobabilityofwildmammalroadkillusingafavourabilityfunction AT josecarlosguerrero predictionofsiteswithahighprobabilityofwildmammalroadkillusingafavourabilityfunction
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Prediction of Sites with a High Probability of Wild Mammal Roadkill Using a Favourability Function

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