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Expanding gray wolf (Canis lupus) populations in Europe and North America contribute to increased risks of livestock predation, which can threaten human livelihoods and lead government agencies to target wolves for lethal removal. Public wolf hunting is a highly contentious strategy for mitigating these risks, yet few empirical studies examine its effectiveness in doing so. Using difference-in-differences and structural equation modeling of data from the northwestern US between 2005 and 2021, we analyzed impacts of wolf hunting on livestock predation by wolves and government removal of wolves in the same year and with a 1-year time lag while controlling for social and environmental variables. We found that public wolf hunting had a small negative effect on livestock predation but had no effect on government lethal removal of wolves in the same or subsequent years. Our findings challenge the assumption that wolf hunting is an effective management strategy for reducing livestock predation and lethal removal. 

ABSTRACT Reducing human–wildlife conflict is critical for global biodiversity conservation and supporting livelihoods in landscapes where people and wildlife co‐occur. Interventions intended to reduce conflicts and their negative outcomes are diverse and widespread, yet there is often a dearth of empirical evidence regarding effectiveness, particularly at appropriate spatiotemporal scales. We investigate an underappreciated question relevant to large carnivore–livestock systems globally regarding spillover effects of anti‐conflict interventions: Do fortified livestock enclosures modify carnivore predation on livestock for neighbors who lack such interventions? We use ca. 25,000 monthly reports from agropastoralists in an East African landscape critical for large carnivore conservation. Results from Bayesian multilevel statistical models demonstrate robust effects of fortified livestock enclosures in reducing reported predation not only in target households, but also in neighboring households that lack such fortification—a beneficial spillover effect. Results provide empirical evidence for policy and practice regarding tools to reduce large carnivore conflicts while pointing to the important role of complex‐systems processes in determining coexistence outcomes. 

Data that influence policy and major investment decisions risk entrenching social and political inequities 

Abstract Conserving species' ability to traverse the landscape is vital for maintaining biodiversity in the face of global change. Connectivity conservation requires identifying important pathways for species' movements and aligning societal support for conservation of those pathways. Contemporary connectivity analyses emphasize the impacts of topography, vegetation and human footprint on species' movements; but largely ignore the role that attitudes, economics and institutions play in practitioners' ability to conserve those movements.We introduce implementation resistance as an analogue of biophysical resistance that combines social, economic and institutional factors that promote or impede connectivity conservation. We demonstrate the utility of integrating implementation resistance as a means of choosing between competing connectivity conservation strategies using wolves in Colorado (USA) as a case study.Our analysis of five potential corridor locations based on biophysical costs revealed substantial differences in the social costs associated with implementing each corridor despite relatively minimal differences in the biophysical costs.Our comparison of hypothetical interventions to reduce implementation resistance illustrates that interventions that reduce conflicts between land use and wolves may substantially reduce overall resistance, those reductions are not as well aligned with connectivity priorities as those resulting from changes in land management agency policy.Our results highlight the need to design conservation interventions that fit both the social and ecological landscape and provide a framework for developing robust, interdisciplinary methods that facilitate implementable connectivity conservation. Read the freePlain Language Summaryfor this article on the Journal blog. 

Although research on wildlife species across taxa has shown that males and females may differentially select habitat, sex-specific habitat suitability models for endangered species are uncommon. We developed sex-specific models for Bengal tigers (Panthera tigris) based on camera trapping data collected from 20 January to 22 March 2010 within Chitwan National Park, Nepal, and its buffer zone. We compared these to a sex-indiscriminate habitat suitability model to assess the benefits of a sex-specific approach to habitat suitability modeling. Our sex-specific models produced more informative and detailed habitat suitability maps and highlighted vital differences in the spatial distribution of suitable habitats for males and females, specific associations with different vegetation types, and habitat use near human settlements. Improving and refining habitat models for this and other critically endangered species provides the necessary information to meet established conservation goals and population recovery targets.