More Like this

1. Feather corticosterone does not correlate with environmental stressors or body condition in an endangered waterbird

   https://doi.org/10.1093/conphys/coaa125  

   Gormally, Brenna M ; van Rees, Charles B ; Bowers, Emily ; Reed, J Michael ; Romero, L Michael ( January 2020 , Conservation Physiology)

   Cooke, Steven (Ed.)

   Abstract Physiological metrics are becoming popular tools for assessing individual condition and population health to inform wildlife management and conservation decisions. Corticosterone assays can provide information on how animals cope with individual and habitat-level stressors, and the recent development of feather assays is an exciting innovation that could yield important insights for conservation of wild birds. Due to the widespread enthusiasm for feather corticosterone as a potential bioindicator, studies are needed to assess the ability of this technique to detect meaningful differences in physiological stress across a variety of stressor types and intensities. We examined feather corticosterone from 144 individuals among the 13 known breeding populations of Hawaiian gallinule (Gallinula galeata sandvicensis), an endangered waterbird, on the island of O‘ahu. These ecologically independent subpopulations are known to have low genetic connectivity and movement rates and differ largely across a number of important conditions, including level of predator management, human disturbance, proximity to urban development and conspecific population density. This system is well suited for assessing the performance of feather corticosterone as a bioindicator of different known habitat-level threats common to this and many other conservation-reliant species. We found no statistically significant relationship between feather corticosterone and level of predator control, level of human disturbance, gallinule population density, percent urban cover or body condition across all sites despite the substantial difference in stressor magnitude in our dataset. We did find that gallinules in habitats with larger population densities were in worse body condition. These findings suggest that feather corticosterone is not a consistent indicator of anthropogenic impacts on populations. Furthermore, they suggest that feather corticosterone may be a poor bioindicator of known habitat-level threats for Hawaiian gallinules and that it should be used with caution in other avian taxa of conservation concern. 

   more » « less
2. An applied ecology of fear framework: linking theory to conservation practice

   https://doi.org/10.1111/acv.12629  

   Gaynor, Kaitlyn M. ; Cherry, Michael J. ; Gilbert, Sophie L. ; Kohl, Michel T. ; Larson, Courtney L. ; Newsome, Thomas M. ; Prugh, Laura R. ; Suraci, Justin P. ; Young, Julie K. ; Smith, Justine A. ( August 2020 , Animal Conservation)

   null (Ed.)

   Research on the ecology of fear has highlighted the importance of perceived risk from predators and humans in shaping animal behavior and physiology, with potential demographic and ecosystem-wide consequences. Despite recent conceptual advances and potential management implications of the ecology of fear, theory and conservation practices have rarely been linked. Many challenges in animal conservation may be alleviated by actively harnessing or compensating for risk perception and risk avoidance behavior in wild animal populations. Integration of the ecology of fear into conservation and management practice can contribute to the recovery of threatened populations, human–wildlife conflict mitigation, invasive species management, maintenance of sustainable harvest and species reintroduction plans. Here, we present an applied framework that links conservation interventions to desired outcomes by manipulating ecology of fear dynamics. We discuss how to reduce or amplify fear in wild animals by manipulating habitat structure, sensory stimuli, animal experience (previous exposure to risk) and food safety trade-offs to achieve management objectives. Changing the optimal decision-making of individuals in managed populations can then further conservation goals by shaping the spatiotemporal distribution of animals, changing predation rates and altering risk effects that scale up to demographic consequences. We also outline future directions for applied research on fear ecology that will better inform conservation practices. Our framework can help scientists and practitioners anticipate and mitigate unintended consequences of management decisions, and highlight new levers for multi-species conservation strategies that promote human–wildlife coexistence. 

   more » « less
3. Using pastoral ideology to understand human–wildlife coexistence in arid agricultural landscapes

   https://doi.org/10.1111/csp2.35  

   Laverty, Theresa M. ; Teel, Tara L. ; Thomas, Rebecca E. W. ; Gawusab, A. Archie ; Berger, Joel ( April 2019 , Conservation Science and Practice)

   Integrating social and ecological knowledge is requisite for solutions to global conservation problems, including human–wildlife conflict, but gathering sufficient data to facilitate integration has proved difficult. Social–ecological systems models have also traditionally overlooked individual human thought and behavior that can affect the success of management interventions. In response to these challenges, we drew upon psychological theory and long‐term ecological data on wildlife populations and conflict occurrence to inform qualitative research on pastoralists' values toward wildlife in the northern Namib Desert. We explored how values and ecological conditions shaped individuals': (a) interactions with and tolerance of species; and (b) perceptions of challenges and potential solutions to living with wildlife. Semi‐structured interview data revealed a prevailing domination value orientation toward wildlife, reflected in concerns for human and livestock wellbeing. Despite these concerns and high rates of reported conflicts, pastoralists were generally tolerant of wildlife, including predators, and indicated this in their proposed management solutions. In addition to its practical implications for informing human–wildlife coexistence strategies in the Namibian context, our approach advances knowledge about wildlife values globally, offers insights on the utility of qualitative assessments for cross‐cultural social–ecological systems research, and furthers understanding of conservation challenges and opportunities in extreme arid environments.

    

   more » « less
4. The contribution of historical processes to contemporary extinction risk in placental mammals

   https://doi.org/10.1126/science.abn5856  

   Wilder, Aryn P. ; Supple, Megan A. ; Subramanian, Ayshwarya ; Mudide, Anish ; Swofford, Ross ; Serres-Armero, Aitor ; Steiner, Cynthia ; Koepfli, Klaus-Peter ; Genereux, Diane P. ; Karlsson, Elinor K. ; et al ( April 2023 , Science)

   INTRODUCTION The Anthropocene is marked by an accelerated loss of biodiversity, widespread population declines, and a global conservation crisis. Given limited resources for conservation intervention, an approach is needed to identify threatened species from among the thousands lacking adequate information for status assessments. Such prioritization for intervention could come from genome sequence data, as genomes contain information about demography, diversity, fitness, and adaptive potential. However, the relevance of genomic data for identifying at-risk species is uncertain, in part because genetic variation may reflect past events and life histories better than contemporary conservation status. RATIONALE The Zoonomia multispecies alignment presents an opportunity to systematically compare neutral and functional genomic diversity and their relationships to contemporary extinction risk across a large sample of diverse mammalian taxa. We surveyed 240 species spanning from the “Least Concern” to “Critically Endangered” categories, as published in the International Union for Conservation of Nature’s Red List of Threatened Species. Using a single genome for each species, we estimated historical effective population sizes ( N e ) and distributions of genome-wide heterozygosity. To estimate genetic load, we identified substitutions relative to reconstructed ancestral sequences, assuming that mutations at evolutionarily conserved sites and in protein-coding sequences, especially in genes essential for viability in mice, are predominantly deleterious. We examined relationships between the conservation status of species and metrics of heterozygosity, demography, and genetic load and used these data to train and test models to distinguish threatened from nonthreatened species. RESULTS Species with smaller historical N e are more likely to be categorized as at risk of extinction, suggesting that demography, even from periods more than 10,000 years in the past, may be informative of contemporary resilience. Species with smaller historical N e also carry proportionally higher burdens of weakly and moderately deleterious alleles, consistent with theoretical expectations of the long-term accumulation and fixation of genetic load under strong genetic drift. We found weak support for a causative link between fixed drift load and extinction risk; however, other types of genetic load not captured in our data, such as rare, highly deleterious alleles, may also play a role. Although ecological (e.g., physiological, life-history, and behavioral) variables were the best predictors of extinction risk, genomic variables nonrandomly distinguished threatened from nonthreatened species in regression and machine learning models. These results suggest that information encoded within even a single genome can provide a risk assessment in the absence of adequate ecological or population census data. CONCLUSION Our analysis highlights the potential for genomic data to rapidly and inexpensively gauge extinction risk by leveraging relationships between contemporary conservation status and genetic variation shaped by the long-term demographic history of species. As more resequencing data and additional reference genomes become available, estimates of genetic load, estimates of recent demographic history, and accuracy of predictive models will improve. We therefore echo calls for including genomic information in assessments of the conservation status of species. Genomic information can help predict extinction risk in diverse mammalian species. Across 240 mammals, species with smaller historical N e had lower genetic diversity, higher genetic load, and were more likely to be threatened with extinction. Genomic data were used to train models that predict whether a species is threatened, which can be valuable for assessing extinction risk in species lacking ecological or census data. [Animal silhouettes are from PhyloPic] 

   more » « less
5. Trade‐offs with telemetry‐derived contact networks for infectious disease studies in wildlife

   https://doi.org/10.1111/2041-210X.13355  

   Gilbertson, Marie L. J. ; White, Lauren A. ; Craft, Meggan E. ; McCrea, ed., Rachel ( February 2020 , Methods in Ecology and Evolution)

   Network analysis of infectious disease in wildlife can reveal traits or individuals critical to pathogen transmission and help inform disease management strategies. However, estimates of contact between animals are notoriously difficult to acquire. Researchers commonly use telemetry technologies to identify animal associations, but such data may have different sampling intervals and often captures a small subset of the population. The objectives of this study were to outline best practices for telemetry sampling in network studies of infectious disease by determining (a) the consequences of telemetry sampling on our ability to estimate network structure, (b) whether contact networks can be approximated using purely spatial contact definitions and (c) how wildlife spatial configurations may influence telemetry sampling requirements.

   We simulated individual movement trajectories for wildlife populations using a home range‐like movement model, creating full location datasets and corresponding ‘complete’ networks. To mimic telemetry data, we created ‘sample’ networks by subsampling the population (10%–100% of individuals) with a range of sampling intervals (every minute to every 3 days). We varied the definition of contact for sample networks, using either spatiotemporal or spatial overlap, and varied the spatial configuration of populations (random, lattice or clustered). To compare complete and sample networks, we calculated seven network metrics important for disease transmission and assessed mean ranked correlation coefficients and percent error between complete and sample network metrics.

   Telemetry sampling severely reduced our ability to calculate global node‐level network metrics, but had less impact on local and network‐level metrics. Even so, in populations with infrequent associations, high intensity telemetry sampling may still be necessary. Defining contact in terms of spatial overlap generally resulted in overly connected networks, but in some instances, could compensate for otherwise coarse telemetry data.

   By synthesizing movement and disease ecology with computational approaches, we characterized trade‐offs important for using wildlife telemetry data beyond ecological studies of individual movement, and found that careful use of telemetry data has the potential to inform network models. Thus, with informed application of telemetry data, we can make significant advances in leveraging its use for a better understanding and management of wildlife infectious disease.

    

   more » « less