{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T23:22:26Z","timestamp":1787008946559,"version":"build-2736575974"},"reference-count":0,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T00:00:00Z","timestamp":1783728000000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Environmental change causes physiological effects that can last years in long-lived species, yet there is a dearth of methods for quantifying such effects and their population consequences across the necessary decadal timescales. The Population Consequences of Multiple Stressors (PCoMS) framework is intended to link short-term responses to stressors to health, then to vital rates and from there to population-level effects. To date, implementations of the PCoMS framework have primarily focused on behavioral responses of marine mammals to stressors, enabled by data available from biologging devices. However, technological advances have facilitated the collection of physiological data, particularly hormones, through techniques such as extraction and quantification of hormones in respiratory vapor (blow), feces, vibrissae, blubber, skin, and baleen, amongst others. Using baleen specimens from bowhead whales (Balaena mysticetus) that were sampled for stable isotopes and adrenal, thyroid, and reproductive hormones, we demonstrate how these individual histories can be used within the PCoMS framework to begin modelling the linkages between ecological change, anthropogenic actions, individual physiology, and potential population impacts.<\/jats:p>","DOI":"10.1093\/icb\/icag103","type":"journal-article","created":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T11:54:47Z","timestamp":1783770887000},"source":"Crossref","is-referenced-by-count":2,"title":["Population consequences of physiological responses to stressors: A road map for endocrine data"],"prefix":"10.1093","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2025-0600","authenticated-orcid":false,"given":"Leslie","family":"New","sequence":"first","affiliation":[{"name":"Department of Mathematics , Computer Science and Statistics, Ursinus College, Collegeville PA ,","place":["United States of America"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joshua","family":"Reed","sequence":"additional","affiliation":[{"name":"Department of Mathematics , Computer Science and Statistics, Ursinus College, Collegeville PA ,","place":["United States of America"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6378-6827","authenticated-orcid":false,"given":"Jennifer","family":"Jelincic","sequence":"additional","affiliation":[{"name":"Marine Mammal Institute, Oregon State University , Newport OR ,","place":["United States of America"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6008-7257","authenticated-orcid":false,"given":"C Loren","family":"Buck","sequence":"additional","affiliation":[{"name":"Mel & Enid Zuckerman College of Public Health, Department of Community, Environment and Policy, University of Arizona , Tucson AZ ,","place":["United States of America"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3541-3676","authenticated-orcid":false,"given":"Enrico","family":"Pirotta","sequence":"additional","affiliation":[{"name":"Center for Research into Ecological and Environmental Monitoring, University of St Andrews , St Andrews KY16 9LZ, Scotland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kathleen","family":"Hunt","sequence":"additional","affiliation":[{"name":"Marine Mammal Institute, Oregon State University , Newport OR ,","place":["United States of America"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2026,7,11]]},"container-title":["Integrative And Comparative Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/icb\/advance-article-pdf\/doi\/10.1093\/icb\/icag103\/68759329\/icag103.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/icb\/advance-article-pdf\/doi\/10.1093\/icb\/icag103\/68759329\/icag103.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T14:42:24Z","timestamp":1783780944000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/icb\/advance-article\/doi\/10.1093\/icb\/icag103\/8732557"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,11]]},"references-count":0,"URL":"https:\/\/doi.org\/10.1093\/icb\/icag103","relation":{},"ISSN":["1540-7063","1557-7023"],"issn-type":[{"value":"1540-7063","type":"print"},{"value":"1557-7023","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,11]]},"article-number":"icag103"}}