Habitat fragmentation threatens biodiversity, causes population isolation and reduces the availability of resources. When species ranges span geopolitical borders, management of transboundary populations and securing their connectivity can be compromised by different juridical efforts and priorities. Using a combination of species distribution modelling and circuit theory, we modelled suitable habitats for four conservation-dependent mammalian megafauna in northeastern Iran, bordering Turkmenistan and Afghanistan which is part of the larger Kopet Dag Ecoregion in central Asia. Our multispecies approach was aimed to identify key habitats and potential national and international corridors for Persian leopard (Panthera pardus), bezoar goat (Capra aegagrus), urial sheep (Ovis orientalis) and goitered gazelle (Gazella subgutturosa). Between 18 to 34% of the region was identified as suitable habitat for each species with a moderate variability in coverage by conservation network (14 to 43%). Importantly, we identified three key landscapes which can enhance the connectivity between main populations of the species in northeastern Iran as well as neighboring countries. Most of the suitable landscapes along the Iran-Turkmenistan borderlands are protected on the Iranian side, providing a source for species movement across the border. In contrast, the main suitable landscapes for megafauna in northeastern Iran are located far from the Afghan border. Our multispecies approach provided an empirical framework for spatial conservation planning for the mammalian megafauna across the Kopet Dag Ecoregion and can direct future survey efforts to identify critical wildlife areas in Turkmenistan and Afghanistan, two countries with scarce data on biodiversity.
Given the global popularity and ubiquity of electronic media coverage of wildlife and conservation, media frame analysis is widely used to help conservation decision‐makers understand public opinion, differing goals and priorities, and arguments used in conflict. Nonetheless, media frame analysis has only been used on occasion to elucidate how different conservation stakeholders frame wildlife management plans. We applied media frame analysis to the case of critically endangered Asiatic cheetah (Acinonyx jubatus venaticus), one of the world's rarest felids now confined to Iranian deserts. Between January 2018 and December 2020, 91 interviews from 44 conservation stakeholders were published in Persian‐language electronic media following the development of an Asiatic cheetah management plan. Media framed conservationists as agreeing on the alarming situation of Asiatic cheetahs and high‐level interventions needed for possible recovery yet disagreeing about using integrated (in situ + ex situ) versus single management approaches (in situ only) between academic and NGO interviewees. Interviews presented a balance of thematic (year‐round) and episodic around National and International Cheetah Days. We also found that the current media debate was highly skewed toward non‐local perspectives while views from reserve staffs were rarely (n = 2) reflected in the media. The increasing number of controversial conservation topics in media debates can persuade the public or policymakers by setting agenda. Disagreement in premises, threats and interventions confuse managers and potentially creates procrastination of necessary actions. Higher inclusion of reserve staffs, technical cooperation between stakeholders and pursuing the existing management plan are interventions that may portend great potential to enhance the conservation impact of media debates.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.