ArticleGeneral and comparative endocrinology2020
Across time and space: Hormonal variation across temporal and spatial scales in relation to nesting success.
Article in General and comparative endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Experience and trust: the benefits of mate familiarity are realized through sex-specific specialization of parental roles in Cassin's auklet.Royal Society open science · 2024Article
- Glucocorticoids and land cover: a largescale comparative approach to assess a physiological biomarker for avian conservation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Great tits differ in glucocorticoid plasticity in response to spring temperature.Proceedings. Biological sciences · 2022Article
- Natural variation in developmental condition has limited effect on spatial cognition in a wild food-caching bird.Proceedings. Biological sciences · 2022Article
- Quantifying Glucocorticoid Plasticity Using Reaction Norm Approaches: There Still is So Much to Discover!Integrative and comparative biology · 2022Review
- Are individuals consistent? Endocrine reaction norms under different ecological challenges.The Journal of experimental biology · 2021Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
There is a renewed interest in investigating individual variation in hormone levels in relation to fitness metrics, as hormones act as mediators of life-history trade-offs. Hormone concentrations, however, are labile, responding to both internal and external stimuli, so the relationship between hormones and fitness can be non-consistent. One explanation of this inconsistent relationship is that a single hormone sample may not be representative of individual phenotypes in a free-living species. We addressed this issue by repeatedly sampling a free-living population of mountain white-crowned sparrows, Zonotrichia leucophrys oriantha, for baseline and stress-induced corticosterone (cort) and testosterone (T) across different stages of the breeding season. We measured (co)variation using three different methods, taking into account inter- and intra-individual variances, to determine whether hormone levels and the stress response are repeatable. We documented the temporal (over 3 months) and spatial (home-range) variation of individual hormone phenotypes and investigated how these components related to nesting success. At the population level, we found significant repeatability in male stress-induced cort concentrations but no repeatability in male or female baseline cort or male T concentrations. Using a new metric of intra-individual variance focusing on the stress response (profile repeatability), we found a wide range of variance scores, with most individuals showing high variation in their stress response. Similarly, we found a low level of repeatability of the reaction norm intercept and slope for the stress response across different life-history stages. Males with higher concentrations of stress-induced cort had more central home-ranges. Males with higher body condition had larger home-ranges; however, home-range size did not relate to male hormone concentrations or nesting success. We also did not find any significant relationship between variation in hormone levels and nesting success. We recommend that future studies combine both physiological and environmental components to better understand the relationship between hormones and fitness.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.