{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Simonis MC"],"funding":["Edward Mallinckrodt, Jr. Foundation","U.S. Department of Energy","Oak Ridge Institute for Science and Education","University of Oklahoma","Intelligence Community Postdoctoral Research Fellowship Program","National Institutes of Health","NIH HHS","Office of the Director of National Intelligence","National Science Foundation"],"pagination":["1772-1780"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12690475"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["65(6)"],"pubmed_abstract":["Wildlife face a number of extrinsic stressors, such as habitat loss, pathogen infections, and contaminant exposure, which can increase the energy needed to maintain optimal health and survival. These multiple extrinsic stressors can also occur simultaneously during intrinsically stressful life stages such as reproduction, migration, or hibernation. To fully understand how to support healthy wildlife populations, we must quantify physiological and immunological phenotypes across a variety of stressors. We pose a framework for conducting field studies to collect individual-level samples that can be used for measuring physiological and immunological phenotypes as well as the potentially stressful intrinsic and extrinsic drivers of those phenotypes. We suggest that collaborative efforts should"],"journal":["Integrative and comparative biology"],"pubmed_title":["A Collaborative Multiple Stressor Approach for Identifying Spatial Heterogeneities in Wildlife Health and Conservation Priorities."],"pmcid":["PMC12690475"],"funding_grant_id":["P20GM134973","2515340"],"pubmed_authors":["Foster JT","Castle KT","Van Parys D","Ciarrachi S","Simonis MC","Zubayr J","Haase CG","Becker DJ","Allira M","Chumchal MM","O'Keefe JM","Demory B","Fitzgerald K","Bernard RF","Dyer KE","Whitmore K","Dewey TA"],"additional_accession":[]},"is_claimable":false,"name":"A Collaborative Multiple Stressor Approach for Identifying Spatial Heterogeneities in Wildlife Health and Conservation Priorities.","description":"Wildlife face a number of extrinsic stressors, such as habitat loss, pathogen infections, and contaminant exposure, which can increase the energy needed to maintain optimal health and survival. These multiple extrinsic stressors can also occur simultaneously during intrinsically stressful life stages such as reproduction, migration, or hibernation. To fully understand how to support healthy wildlife populations, we must quantify physiological and immunological phenotypes across a variety of stressors. We pose a framework for conducting field studies to collect individual-level samples that can be used for measuring physiological and immunological phenotypes as well as the potentially stressful intrinsic and extrinsic drivers of those phenotypes. We suggest that collaborative efforts should","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Dec","modification":"2026-06-08T04:58:25.022Z","creation":"2026-06-08T03:08:26.556Z"},"accession":"S-EPMC12690475","cross_references":{"pubmed":["40580111"],"doi":["10.1093/icb/icaf123"]}}