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

被引:4
作者
Farashi, Azita [1 ]
Alizadeh-Noughani, Mohammad [1 ]
机构
[1] Ferdowsi Univ Mashhad, Fac Nat Resources & Environm, Dept Environm, Mashhad, Razavi Khorasan, Iran
关键词
SDM; Pet; Habitat; Distribution; Potential range; SPECIES DISTRIBUTION MODELS; POTENTIAL DISTRIBUTION; HABITAT SUITABILITY; WILDLIFE TRADE; EXOTIC TICKS; CONSERVATION; NICHE; POPULATIONS; AMPHIBIANS; SERPENTES;
D O I
10.1016/j.gecco.2021.e01818
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
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.
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页数:14
相关论文
共 102 条
[1]   First record of Boa constrictor (Serpentes, Boidae) in the quaternary of South America [J].
Albin, Adriana M. ;
Carlini, Alfredo A. .
JOURNAL OF HERPETOLOGY, 2008, 42 (01) :82-88
[2]   Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS) [J].
Allouche, Omri ;
Tsoar, Asaf ;
Kadmon, Ronen .
JOURNAL OF APPLIED ECOLOGY, 2006, 43 (06) :1223-1232
[3]   Distribution and Environmental Suitability of the Smallscaled Rock Agama, Paralaudakia microlepis (Sauna: Agamidae) in the Iranian Plateau [J].
Ananjeva, Natalia B. ;
Golynsky, Evgeny A. ;
Hosseinian Yousefkhani, Seyyed Saeed ;
Masroor, Rafaqat .
ASIAN HERPETOLOGICAL RESEARCH, 2014, 5 (03) :161-167
[4]  
[Anonymous], 2000, STATE BIODIVERSITY W
[5]   Ensemble forecasting of species distributions [J].
Araujo, Miguel B. ;
New, Mark .
TRENDS IN ECOLOGY & EVOLUTION, 2007, 22 (01) :42-47
[6]   Trade in live reptiles, its impact on wild populations, and the role of the European market [J].
Auliya, Mark ;
Altherr, Sandra ;
Ariano-Sanchez, Daniel ;
Baard, Ernst H. ;
Brown, Carl ;
Brown, Rafe M. ;
Cantu, Juan-Carlos ;
Gentile, Gabriele ;
Gildenhuys, Paul ;
Henningheim, Evert ;
Hintzmann, Juergen ;
Kanari, Kahoru ;
Krvavac, Milivoje ;
Lettink, Marieke ;
Lippert, Joerg ;
Luiselli, Luca ;
Nilson, Goran ;
Truong Quang Nguyen ;
Nijman, Vincent ;
Parham, James F. ;
Pasachnik, Stesha A. ;
Pedrono, Miguel ;
Rauhaus, Anna ;
Cordova, Danny Rueda ;
Sanchez, Maria-Elena ;
Schepp, Ulrich ;
van Schingen, Mona ;
Schneeweiss, Norbert ;
Segniagbeto, Gabriel H. ;
Somaweera, Ruchira ;
Sy, Emerson Y. ;
Turkozan, Oguz ;
Vinke, Sabine ;
Vinke, Thomas ;
Vyas, Raju ;
Williamson, Stuart ;
Ziegler, Thomas .
BIOLOGICAL CONSERVATION, 2016, 204 :103-119
[7]   Selecting pseudo-absences for species distribution models: how, where and how many? [J].
Barbet-Massin, Morgane ;
Jiguet, Frederic ;
Albert, Cecile Helene ;
Thuiller, Wilfried .
METHODS IN ECOLOGY AND EVOLUTION, 2012, 3 (02) :327-338
[8]  
Barve V., 2017, R package version 0.1
[9]   Habitat suitability models for the sand lizard Liolaemus wiegmannii based on landscape characteristics in temperate coastal dunes in Argentina [J].
Block, Carolina ;
Pedrana, Julieta ;
Anibal Stellatelli, Oscar ;
Estela Vega, Laura ;
Pablo Isacch, Juan .
AUSTRAL ECOLOGY, 2016, 41 (06) :671-680
[10]  
Bomford M., 2005, RISK ASSESSMENT MODE