2020
DOI: 10.1111/cobi.13537
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Linking human and ecological components to understand human–wildlife conflicts across landscapes and species

Abstract: Human–wildlife conflicts (HWC) are complex conservation challenges that impair both wildlife populations and human livelihood. Research on HWC, however, has traditionally approached ecological and human components separately, hampering a broader understanding of connections between ecological drivers and human dimensions of conflicts. We developed a model that integrates ecological and human components of HWC to investigate how the amount of remaining native forest (forest cover, a key ecological variable know… Show more

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Cited by 35 publications
(28 citation statements)
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“…Specifically to the Maasai, we have underpinned the importance of different carnivores to their culture and their acceptance of different strategies, forming a basis for coexistence based on various factors. Because the effects of the factors may be direct and indirect (Teixeira et al, 2020), investigating these relationships may disentangle effects and help understand the complex processes associated with tolerance of wildlife and how human cognitions interact with ecological dimensions. In particular, it would be important to understand the interplay between the different factors in order to detect any mediating effects between predictors and their relationship with the acceptance of management strategies.…”
Section: Discussionmentioning
confidence: 99%
“…Specifically to the Maasai, we have underpinned the importance of different carnivores to their culture and their acceptance of different strategies, forming a basis for coexistence based on various factors. Because the effects of the factors may be direct and indirect (Teixeira et al, 2020), investigating these relationships may disentangle effects and help understand the complex processes associated with tolerance of wildlife and how human cognitions interact with ecological dimensions. In particular, it would be important to understand the interplay between the different factors in order to detect any mediating effects between predictors and their relationship with the acceptance of management strategies.…”
Section: Discussionmentioning
confidence: 99%
“…By implication, as wildlife recovers and is restored in ecosystems, wildlife managers should make effort to maintain or restore social relations and trust through forging new collaborations across agencies and encouraging locally formed and led coexistence groups. Whereas, we focused on gray wolves, our results can be applied to other regional carnivore-human interactions, as well as those that occur nationally and internationally (van Eeden et al, 2018;Teixeira et al, 2020). Our findings are relevant more generally in Washington, for example, because ranchers repeatedly mentioned other predators when responding to questions about their perspectives on non-lethal mitigation strategies to co-exist with wolves.…”
Section: Discussionmentioning
confidence: 90%
“…Conservation efforts need to consider the people coexisting with animals not only as an afterthought, but actively listen and integrate their opinions in each step of the management and policy development and implementation (Cassidy & Salerno 2020;McMurdo Hamilton et al 2020) and gradually towards a more active, transformative and empowering participation (Cornwall 2008). Research needs to link ecological and human dimensions (Teixeira et al 2020), include perspectives of people coexisting with species (McMurdo Hamilton et al 2020) and involve transdisciplinary and science-policy-management collaborations (König et al 2020). This includes taking the complexity of human wildlife coexistence beyond tangible costs and benefits (König et al 2020) and acknowledging and addressing the inequality in the distribution of costs and benefits of coexisting with wildlife; these aspects need to be at the center of management and policy plans and implementation (Jordan et al 2020).…”
Section: Recommendations To Increase Holistic Approaches and Inclusivitymentioning
confidence: 99%