Predicting the invasion risk of non-native reptiles as pets in the Middle East

Trade of non-native reptiles is an important and increasing driver of biodiversity loss and often compromises the standards required for protection. However, the growing interest in non-native reptiles as pets has posed serious concerns to wildlife managers and conservationists. Instituting effectiv...

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Bibliographic Details
Main Authors: Azita Farashi, Mohammad Alizadeh-Noughani
Format: Article
Language:English
Published: Elsevier 2021-11-01
Series:Global Ecology and Conservation
Subjects:
SDM
Pet
Online Access:http://www.sciencedirect.com/science/article/pii/S2351989421003681
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spelling doaj-a408239aae0c4653bd5301d6131576be2021-09-17T04:36:30ZengElsevierGlobal Ecology and Conservation2351-98942021-11-0131e01818Predicting the invasion risk of non-native reptiles as pets in the Middle EastAzita Farashi0Mohammad Alizadeh-Noughani1Corresponding author.; Department of Environment, Faculty of Natural Resources and Environment, Ferdowsi University of Mashhad, IranDepartment of Environment, Faculty of Natural Resources and Environment, Ferdowsi University of Mashhad, IranTrade of non-native reptiles is an important and increasing driver of biodiversity loss and often compromises the standards required for protection. However, the growing interest in non-native reptiles as pets has posed serious concerns to wildlife managers and conservationists. Instituting effective policies regarding non-native reptiles requires a thorough understanding of the potential range of species in new environments. In this study, we used an ensemble of ten species distribution models to predict the potential distribution for 23 of the most commonly traded species of reptiles across the Middle East. We used ten modeling techniques implemented in the Biomod2 package and ensemble forecasts. Final models used thirty environmental variables, including climatic, topographic, and land cover/land use variables. Our results indicate that all Middle Eastern countries included suitable habitats for at least six species, except Qatar, Kuwait and Bahrain, for which the models did not predict any suitable habitats. Our study showed that Lebanon, Palestine, Turkey, and Israel face the highest risk of biological invasion based on the area of suitable habitats for all studied species. Also, the results showed that turtles posed the highest risk of spreading in the Middle East. Information on which species pose a greater danger as invaders and the possible impacts of their introduction will be a valuable contribution to the development of conservation plans and policies.http://www.sciencedirect.com/science/article/pii/S2351989421003681SDMPetHabitatDistributionPotential range
collection DOAJ
language English
format Article
sources DOAJ
author Azita Farashi
Mohammad Alizadeh-Noughani
spellingShingle Azita Farashi
Mohammad Alizadeh-Noughani
Predicting the invasion risk of non-native reptiles as pets in the Middle East
Global Ecology and Conservation
SDM
Pet
Habitat
Distribution
Potential range
author_facet Azita Farashi
Mohammad Alizadeh-Noughani
author_sort Azita Farashi
title Predicting the invasion risk of non-native reptiles as pets in the Middle East
title_short Predicting the invasion risk of non-native reptiles as pets in the Middle East
title_full Predicting the invasion risk of non-native reptiles as pets in the Middle East
title_fullStr Predicting the invasion risk of non-native reptiles as pets in the Middle East
title_full_unstemmed Predicting the invasion risk of non-native reptiles as pets in the Middle East
title_sort predicting the invasion risk of non-native reptiles as pets in the middle east
publisher Elsevier
series Global Ecology and Conservation
issn 2351-9894
publishDate 2021-11-01
description Trade of non-native reptiles is an important and increasing driver of biodiversity loss and often compromises the standards required for protection. However, the growing interest in non-native reptiles as pets has posed serious concerns to wildlife managers and conservationists. Instituting effective policies regarding non-native reptiles requires a thorough understanding of the potential range of species in new environments. In this study, we used an ensemble of ten species distribution models to predict the potential distribution for 23 of the most commonly traded species of reptiles across the Middle East. We used ten modeling techniques implemented in the Biomod2 package and ensemble forecasts. Final models used thirty environmental variables, including climatic, topographic, and land cover/land use variables. Our results indicate that all Middle Eastern countries included suitable habitats for at least six species, except Qatar, Kuwait and Bahrain, for which the models did not predict any suitable habitats. Our study showed that Lebanon, Palestine, Turkey, and Israel face the highest risk of biological invasion based on the area of suitable habitats for all studied species. Also, the results showed that turtles posed the highest risk of spreading in the Middle East. Information on which species pose a greater danger as invaders and the possible impacts of their introduction will be a valuable contribution to the development of conservation plans and policies.
topic SDM
Pet
Habitat
Distribution
Potential range
url http://www.sciencedirect.com/science/article/pii/S2351989421003681
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