As large carnivore recoveries expand into human-dominated regions, evaluating the intersection of predicted wildlife space use and human influence is essential for planning viable, socially responsive restoration efforts. Here, we present a spatially-explicit framework integrating predictive movement models and anthropogenic footprint data to identify potential zones of overlap between recovering wildlife and human space use. We apply this approach to the case of grizzly bear (Ursus arctos horribilis) recovery in California, a state where the species has been absent for over a century but where restoration is under renewed consideration. Using movement models developed from out-of-system GPS-collared grizzly bears, we forecast space use across California landscapes and overlay these projections with the Human Influence Index, a composite measure of human land use, infrastructure and population density, and access. We evaluated three large protected area complexes previously identified as meeting core ecological criteria for potential reintroduction. While higher relative levels of predicted bear use are concentrated within wilderness cores, areas of spatial overlap with elevated human influence emerge near roads, trail networks, and urban edges, particularly in southern California’s Transverse Range. Areas of elevated human-bear overlap highlight locations where coexistence investments and future social data collection may be particularly valuable. Areas where predicted bear use is relatively high and human influence is comparatively low represent areas for further consideration during recovery planning and feasibility assessment. Our approach offers a transferable method for producing spatially explicit assessments of human-wildlife overlap as a foundation for recovery planning within novel and contested landscapes.

ABSTRACT White‐tailed deer (Odocoileus virginianus) ecology has received significant research attention, yet there is a need for further synthetic work on the species across environmental contexts and research areas. Opportunistic natural history accounts can help identify new conceptual links and research directions by offering new observations and ideas, synthesizing context from the literature, and highlighting gaps in understanding. We provide an opportunistic account of a 2.5 km movement of a white‐tailed deer walking, wading, and swimming along Nantasket Beach in a suburban context in Massachusetts, USA. The deer displayed behaviors that could potentially be reflective of trauma, disorientation, or illness, including possibly symptomatic head movements and crouching behavior. The behavior of the deer may also have been influenced by the coastal and suburban context in which the observation took place. Our account explores swimming, deer behavior, and possible illness in a coastal, suburban context. We highlight the need for additional research on the ecology and management of white‐tailed deer, including swimming and disease in coastal, marine, and developed contexts, and intersections across these areas.

Reintroducing locally extirpated wildlife species is often necessary to meet recovery goals. However, because current field data cannot be gathered about these species, efforts to identify suitable habitat are often complicated and controversial. Here we present a case study examining a novel approach for identifying suitable habitat for the locally extirpated brown bear, known as the "grizzly," in California, USA. Once home to a large population of grizzlies, the last credible sighting of a grizzly in California was in 1924, but recent discussions have explored a reintroduction. To study potential grizzly bear habitat suitability in California, we use a multi-model approach in which we consider three indirect methods, or "analogies," each of which incorporates both environmental and social variables. In the "historical analogy," we use a unique record of human encounters and museum specimens to build a habitat model of grizzlies in California 150 years ago. In the "geographic analogy," we use data about contemporary brown bears in Europe and North America to identify potential suitable habitat in California. In the "taxonomic analogy," we examine data from other large carnivores currently extant in California to draw conclusions about grizzlies. Because these methods yield varying results, we adopt a process known in the social sciences as "triangulation" to compare them. We show that a triangulation approach can improve our understanding of potential suitable habitat, clarifying the strengths and weaknesses of various methods and producing robust yet conservative estimates. Our findings suggest that large areas of suitable habitat for grizzlies exist in California. However, we note that place-based social science research and long-term investment in co-existence would be necessary to maintain suitability. The "analogy and triangulation" process demonstrates the value of multi-model approaches for evaluating habitat suitability, especially for reintroductions.

Ecologists recognise that we live on an increasingly human‐dominated planet, yet most of the field's foundational concepts remain essentially biophysical, with little reference to human society. There are few better examples of this divide between ecological and social theory than the niche concept. During its century‐long history, the niche concept has been defined in many ways, including to describe the ecological roles of humans. To date, however, it has not incorporated human influences into its various descriptions of other species' ecological roles. In this essay, we present the socio‐ecological niche (SEN) concept, which builds on the literature in niche theory by contributing insights from the social sciences and humanities to better understand the roles of non‐human species in modern socio‐ecological systems. We argue that the SEN enriches the niche concept and offers a point of connection between ecology and justice. Read the free Plain Language Summary for this article on the Journal blog.

Abstract Wildlife are increasingly recognized as critical to urban ecosystems, but the impacts and benefits of wildlife on people in cities are poorly understood. Environmental justice scholarship has concluded that elements of the urban environment can create or exacerbate social inequity, but human–wildlife interactions have not been considered through this lens. We conducted a literature review on urban wildlife, human–wildlife interactions and environmental justice. We triangulated between these three bodies of literature to identify trends, gaps and research needs. We identified six pathways through which wildlife presence or absence, wildlife management and human–wildlife interactions in cities may lead to social injustice for people. Our review shows that wildlife affect nearly all aspects of urban life for people, including economics, participation in decision‐making, patterns of urban space, human health, psychological well‐being and cultural discourses. Through these six pathways, urban wildlife management disproportionately impacts marginalized and vulnerable communities and benefits affluent urban residents. Contemporary intersections of urban planning, wildlife management and histories of systemic bias exacerbate existing injustices in cities. Synthesis and applications. Though wildlife are often characterized as ‘good’ or ‘bad’ based on their effects on people, we conclude that this dichotomy perpetuates injustice for people and wildlife. Instead, we argue that a ‘just city’ fosters healthy wildlife populations through equitable decision‐making. The pathways we lay out here offer a road map for incorporating environmental justice into urban wildlife management. Read the free Plain Language Summary for this article on the Journal blog.

At the science-policy interface for wildlife conservation, numerous barriers prevent the integration of science into policy, and decision-makers must make tradeoffs between investing in research and implementing management interventions based on existing but limited information. The consequences of these decisions are particularly high for “wicked” problems like endangered species management, where there is often urgency, uncertainty, conflict, and irreversible and potentially harmful outcomes for both wildlife and human communities. As a result, there is growing recognition about the need to strategically prioritize research that effectively reduces uncertainty, is relevant to decision-makers, and improves management outcomes. We conducted a narrative literature review of the wildlife conservation sciences, the decision sciences, and the policy sciences to synthesize insights and best practices for research prioritization and meet a critical need for integrating social dimensions into prioritization decisions. Our goal was to develop an accessible framework to help decision-makers and natural and social scientists make more effective, defensible, and just decisions about research priorities. We propose four categories of considerations scientists and decision-makers can take into account in prioritization decisions: (1) the source, reducibility, and relevance of uncertainties, (2) practical and socio-political feasibility, (3) conflict and contestation, and (4) direct and indirect risk perceptions. We offer strategies and tools to operationalize and adapt the framework across management contexts and needs. We draw on examples from endangered Southern Resident killer whales (Orcinus orca) to provide insight into how decision-makers and scientists can apply the framework’s considerations within their unique social-ecological systems.

Circadian rhythms are a mechanism by which species adapt to environmental variability and fundamental to understanding species behavior. However, we lack data and a standardized framework to accurately assess and compare temporal activity for species during rapid ecological change. Through a global network representing 38 countries, we leveraged 8.9 million mammalian observations to create a library of 14,587 standardized diel activity estimates for 445 species. We found that less than half the species' estimates were in agreement with diel classifications from the reference literature and that species commonly used more than one diel classification. Species diel activity was highly plastic when exposed to anthropogenic change. Furthermore, body size and distributional extent were strongly associated with whether a species is diurnal or nocturnal. Our findings provide essential knowledge of species behavior in an era of rapid global change and suggest the need for a new, quantitative framework that defines diel activity logically and consistently while capturing species plasticity.

Understanding human-predator interactions has been a central goal of conservation for decades, yet many previous efforts have approached this challenge from disciplinary perspectives focused on single case studies. There is a need for more transdisciplinary and multi-sited research to enrich our understandings of the complexity of human-nonhuman interactions and to design ways to make them more convivial. The multi-year CONVIVA “convivial conservation” research project addressed this gap, involving scholars from natural sciences, social sciences and humanities to promote coexistence, biodiversity and justice in conservation across four diverse case studies of apex predators: jaguars in Brazil, wolves in Finland, lions in Tanzania, and brown bears in California, United States. In this article, we set out two key contributions. First, we highlight how our project created iterative, dialogue-based reflections amongst different disciplines and perspectives to inform research questions, methods and units of analysis, fulfilling what we see as a key need in the literature. Second, we operationalise our collaboration beyond disciplinary silos into a novel framework of five interconnected dimensions of analysis, that characterise human-predator interactions, drawing on a range of lenses and including a series of guiding questions. We also showcase empirical material from our cases across wildlife, environment, interactions, institutions and justice dimensions. We present our approach, framework and findings with collective reflections and an invitation for adaptation and further research on their suitability to other contexts and species.

Background: People and wildlife can both be the subjects of environmental injustice. Although their experiences are clearly not the same, shared logics of oppression often impose harms through the environment on vulnerable and marginalized people and free-living nonhuman animals. Critical environmental justice provides a matrix for analyzing and addressing arrangements of power across categories of difference, whereas human ecology approaches offer frameworks for analyzing interactions across human and environmental systems in urban contexts. We develop a new analytical model-critical population, organization, environment, technology (POET)-to strengthen approaches to studying human-environmental problems by integrating the four pillars of critical environmental justice with the four dimensions of the human ecology POET model.Methods: This article uses a case study approach of coyotes living in urban areas to demonstrate one use of the critical POET model to analyze linkages between injustices across humans, wildlife, and the environment.Results: Urbanization as a core spatial logic-through the twin forces of institutional racism and speciesism-has perpetrated harms against people of color and coyotes.Discussion: Identifying shared logics of oppression is a key step toward the realization of a robust multispecies approach to environmental justice.Conclusion: The critical POET model provides a matrix for analyzing interactions and relationships that produce and maintain social and environmental injustices for historically and contemporarily marginalized groups, both human and nonhuman.

BACKGROUND:Movement plays a key role in allowing animal species to adapt to sudden environmental shifts. Anthropogenic climate and land use change have accelerated the frequency of some of these extreme disturbances, including megafire. These megafires dramatically alter ecosystems and challenge the capacity of several species to adjust to a rapidly changing landscape. Ungulates and their movement behaviors play a central role in the ecosystem functions of fire-prone ecosystems around the world. Previous work has shown behavioral plasticity is an important mechanism underlying whether large ungulates are able to adjust to recent changes in their environments effectively. Ungulates may respond to the immediate effects of megafire by adjusting their movement and behavior, but how these responses persist or change over time following disturbance is poorly understood. METHODS:We examined how an ecologically dominant ungulate with strong site fidelity, Columbian black-tailed deer (Odocoileus hemionus columbianus), adjusted its movement and behavior in response to an altered landscape following a megafire. To do so, we collected GPS data from 21 individual female deer over the course of a year to compare changes in home range size over time and used resource selection functions (RSFs) and hidden Markov movement models (HMMs) to assess changes in behavior and habitat selection. RESULTS:We found compelling evidence of adaptive capacity across individual deer in response to megafire. Deer avoided exposed and severely burned areas that lack forage and could be riskier for predation immediately following megafire, but they later altered these behaviors to select areas that burned at higher severities, potentially to take advantage of enhanced forage. CONCLUSIONS:These results suggest that despite their high site fidelity, deer can navigate altered landscapes to track rapid shifts in encounter risk with predators and resource availability. This successful adjustment of movement and behavior following extreme disturbance could help facilitate resilience at broader ecological scales.

BACKGROUND:As a globally widespread apex predator, humans have unprecedented lethal and non-lethal effects on prey populations and ecosystems. Yet compared to non-human predators, little is known about the movement ecology of human hunters, including how hunting behavior interacts with the environment.METHODS:We characterized the hunting modes, habitat selection, and harvest success of 483 rifle hunters in California using high-resolution GPS data. We used Hidden Markov Models to characterize fine-scale movement behavior, and k-means clustering to group hunters by hunting mode, on the basis of their time spent in each behavioral state. Finally, we used Resource Selection Functions to quantify patterns of habitat selection for successful and unsuccessful hunters of each hunting mode.RESULTS:Hunters exhibited three distinct and successful hunting modes ("coursing", "stalking", and "sit-and-wait"), with coursings as the most successful strategy. Across hunting modes, there was variation in patterns of selection for roads, topography, and habitat cover, with differences in habitat use of successful and unsuccessful hunters across modes.CONCLUSIONS:Our study indicates that hunters can successfully employ a diversity of harvest strategies, and that hunting success is mediated by the interacting effects of hunting mode and landscape features. Such results highlight the breadth of human hunting modes, even within a single hunting technique, and lend insight into the varied ways that humans exert predation pressure on wildlife.

This article advances a novel analytical framework for investigating the influence of political-economic processes in human-wildlife interactions (HWI) to support efforts to transform wildlife conservation governance. To date, the majority of research and advocacy addressing HWI focuses on micro-level processes, while even the small body of existing literature exploring social dimensions of such interactions has largely neglected attention to political-economic forces. This is consonant with efforts to transform conservation policy and practice more broadly, which tend to emphasize "circular" change within current political-economic structures rather than "axial" transformation aiming to transcend these structures themselves. Our analysis thus advances understanding of potential for axial transformation in HWI via confrontation with, and "unmaking" of, constraining political-economic structures. It does so through cross-site analysis of conservation policy and practice in relation to three apex predator species (lions, jaguars and wolves) in varied geographic and socio-political contexts, grounded in qualitative ethnographic study within the different sites by members of an international research team. We explore how the relative power of different political-economic interests within each case influences how the animals are perceived and valued, and how this in turn influences conservation interventions and their impact on HWI within these spaces. We term this analysis of the "production-protection nexus" (the interrelation between process of resource extraction and conservation, respectively) in rural landscapes. We emphasize importance of attention to this formative nexus both within and across specific locales in growing global efforts to transform situations of human-wildlife conflict into less contentious coexistence.

OPINION article Front. Conserv. Sci., 20 October 2023Sec. Conservation Social Sciences Volume 4 - 2023 | https://doi.org/10.3389/fcosc.2023.1227227

For more than a century, wildlife conservation in the United States has been built on the notion that nonhuman animal populations are resources to be regulated by law and managed efficiently, according to the best available science and in the public trust. This approach, known as the North American Model of Wildlife Management, has come under increasing criticism for excluding diverse viewpoints that have the potential to advance both conservation and environmental justice goals. How might the greater inclusion of Indigenous worldviews and Indigenous Studies concepts, such as radical relationality and kincentricity, improve western wildlife management? In this paper, we review three case studies of tribal wildlife stewardship programs in the land currently known as California—the Maidu Summit Consortium's beaver restoration project, the Karuk Tribe's elk management program, and the Yurok Tribe's condor recovery effort—that illuminate generative connections among ecological restoration, Indigenous cultural practices, community wellbeing, and environmental justice. Radical relationality and kincentricity offer enormous potential for informing stewardship and recovery efforts that produce more just outcomes for both people and wildlife.

Increasingly frequent megafires are dramatically altering landscapes and critical habitats around the world. Across the western United States, megafires have become an almost annual occurrence, but the implication of these fires for the conservation of native wildlife remains relatively unknown. Woodland savannas are among the world's most biodiverse ecosystems and provide important food and structural resources to a variety of wildlife, but they are threatened by megafires. Despite this, the great majority of fire impact studies have only been conducted in coniferous forests. Understanding the resistance and resilience of wildlife assemblages following these extreme perturbations can help inform future management interventions that limit biodiversity loss due to megafire. We assessed the resistance of a woodland savanna mammal community to the short-term impacts of megafire using camera trap data collected before, during, and after the fire. Specifically, we utilized a 5-year camera trap data set (2016-2020) from the Hopland Research and Extension Center to examine the impacts of the 2018 Mendocino Complex Fire, California's largest recorded wildfire at the time, on the distributions of eight observed mammal species. We used a multispecies occupancy model to quantify the effects of megafire on species' space use, to assess the impact on species size and diet groups, and to create robust estimates of fire's impacts on species diversity across space and time. Megafire had a negative effect on the detection of certain mammal species, but overall, most species showed high resistance to the disturbance and returned to detection and site use levels comparable to unburned sites by the end of the study period. Following megafire, species richness was higher in burned areas that retained higher canopy cover relative to unburned and burned sites with low canopy cover. Fire management that prevents large-scale canopy loss is critical to providing refugia for vulnerable species immediately following fire in oak woodlands, and likely other mixed-forest landscapes.

Climate change and human–wildlife conflict are both pressing challenges for biodiversity conservation and human well-being in the Anthropocene. Climate change is a critical yet underappreciated amplifier of human–wildlife conflict, as it exacerbates resource scarcity, alters human and animal behaviours and distributions, and increases human–wildlife encounters. We synthesize evidence of climate-driven conflicts occurring among ten taxonomic orders, on six continents and in all five oceans. Such conflicts disrupt both subsistence livelihoods and industrial economies and may accelerate the rate at which human–wildlife conflict drives wildlife declines. We introduce a framework describing distinct environmental, ecological and sociopolitical pathways through which climate variability and change percolate via complex social–ecological systems to influence patterns and outcomes of human–wildlife interactions. Identifying these pathways allows for developing mitigation strategies and proactive policies to limit the impacts of human–wildlife conflict on biodiversity conservation and human well-being in a changing climate.

Animal fear can be an important driver of ecological community structure: predators affect prey not only through predation, but also by inducing changes in behaviour and distribution-a phenomenon evocatively called the "ecology of fear." The return of wolves to the western United States is a notable instance of such dynamics, yet plays out in a complex socioecological system where efforts to mitigate impacts on livestock rely on manipulating wolves' fear of people. Examining Washington state's efforts to affect wolf behaviour to reduce livestock predation, we argue that this approach to coexistence with wolves is predicated on relations of fear: people, livestock, and wolves can arguably share landscapes with minimal conflict, as long as wolves are adequately afraid. We introduce the "socioecology of fear" as an interdisciplinary framework for examining the interwoven social and ecological processes of human-wildlife conflict management. Beyond frequently voiced ideas about wolves' "innate" fear, we examine how fear is (re)produced through human-wolf interactions and deeply shaped by human social processes. We contribute to the critical physical geography project by integrating critical social analysis with ecological theory, conducted through collaborative interdisciplinary dialogue. Such integrative practice is essential for understanding the complex challenges of managing wildlife in the Anthropocene.

Spatiotemporal variation in predation risk arises from interactions between landscape heterogeneity, predator densities and predator hunting mode, generating landscapes of fear for prey species that can have important effects on prey behaviour and ecosystem dynamics. As widespread apex predators, humans present a significant source of risk for hunted animal populations. Spatiotemporal patterns of risk from hunters can overlap or contrast with patterns of risk from other predators. Human infrastructure can also reshape spatial patterns of risk by facilitating or impeding hunter or predator movement, or deterring predators that are themselves wary of humans. We examined how anthropogenic and natural landscape features interact with hunting modes of rifle hunters and mountain lions Puma concolor to generate spatiotemporal patterns of risk for their primary prey. We explored the implications of human-modified landscapes of fear for Columbian black-tailed deer Odocoileus hemionus columbianus in Mendocino County, California. We used historical harvest records, hunter GPS trackers and camera trap records of mountain lions to model patterns of risk for deer. We then used camera traps to examine deer spatial and temporal activity patterns in response to this variation in risk. Hunters and mountain lions exhibited distinct, contrasting patterns of spatiotemporal activity. Risk from rifle hunters, who rely on long lines of sight, was highest in open grasslands and near roads and was confined to the daytime. Risk from mountain lions, an ambush predator, was highest in dense shrubland habitat, farther from developed areas, and during the night and crepuscular periods. Areas of human settlement provided a refuge from both hunters and mountain lions. We found no evidence that deer avoided risk in space at the scale of our observations, but deer adjusted their temporal activity patterns to reduce the risk of encounters with humans and mountain lions in areas of higher risk. Our study demonstrates that interactions between human infrastructure, habitat cover and predator hunting mode can result in distinct spatial patterns of predation risk from hunters and other predators that may lead to trade-offs for prey species. However, distinct diel activity patterns of predators may create vacant hunting domains that reduce costly trade-offs for prey. Our study highlights the importance of temporal partitioning as a mechanism of predation risk avoidance.

Global change has spurred the escalation of megafires in California over the last 20 years throughout a variety of ecosystems. Here, we examine the spatial distribution of California wildfires and megafires from the last two decades (2000–2020) in relation to ecosystem types and biodiversity metrics. We offer insights into the prevalence of fire across vegetation types and its potential implications for biodiversity, and for fire and land management. These results challenge the prevailing discourse that wildfire in California is chiefly an issue of forest management.

Non-invasive genetic sampling can facilitate the identification of individual animals across a landscape, with applications to management and conservation. Fecal material is a readily available source of DNA, and various methods exist for collecting fecal samples for DNA preservation. In particular, swab methods offer considerable promise, but their utility in real-world field contexts remains relatively untested. We systematically compared multiple genetic fecal sampling methods across all stages of data collection and analysis, including sampling in the field, DNA extraction in the lab, and identification of individuals using microsatellite genotyping. We collected 112 fecal samples from black-tailed deer (Odocoileus hemionus columbianus) in the field in Mendocino County, California, across a range of sample conditions of unknown age. We systematically compared the efficiency, ease, and genotyping success of three methods for field collection and storage of ungulate fecal samples: whole pellets in ethanol, whole dry pellets in paper envelopes, and cotton swabs in buffer. Storage method, sample condition, and their interaction predicted genotyping success in the top binomial GLMMs. We found that swabbing pellets resulted in the greatest percentage of individually identifiable genotypes (81%, compared to 60% for dry samples and 56% for ethanol), despite lower DNA concentrations. While swabbing pellets requires a greater time investment in the field, the samples are easier and safer to store and transport, and subsequent labwork is more efficient as compared to whole-pellet collection methods. We, therefore, recommend the swab method for most contexts. We provide additional recommendations and field protocols based on subsequent collection of 2284 swab samples for a larger monitoring study of the deer population, given that this large number of samples spanned a range of sample conditions and time spent in storage.