Population consequences of physiological responses to stressors: A road map for endocrine data

Clicks: 2
ID: 320581
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #50 of 113 articles by views in integrative and comparative biology

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Abstract 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.
Reference Key
openalex_W7168026363 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Leslie New, Joshua Reed, Jennifer Jelincic, C. Loren Buck, Enrico Pirotta, Kathleen Hunt
Journal integrative and comparative biology
Year 2026
DOI
10.1093/icb/icag103
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.