Using the van Noordwijk and de Jong Resource Framework to Evaluate Glucocorticoid-Fitness Hypotheses
Autor: | Creagh W. Breuner, Sara A. Berk |
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Rok vydání: | 2019 |
Předmět: |
0106 biological sciences
0301 basic medicine Hydrocortisone Reproduction Reproduction (economics) Context (language use) Plant Science Adaptation Physiological 010603 evolutionary biology 01 natural sciences Life history theory 03 medical and health sciences 030104 developmental biology Resource (project management) Econometrics Animal Science and Zoology Genetic Fitness Adaptation Psychology Glucocorticoids Life History Traits Statistical hypothesis testing |
Zdroj: | Integrative and Comparative Biology. 59:243-250 |
ISSN: | 1557-7023 1540-7063 |
DOI: | 10.1093/icb/icz088 |
Popis: | Ten years ago, two reviews clarified the need to tie glucocorticoid (GC) levels directly to survival and reproductive measures. Three primary hypotheses emerged from that work: the CORT-Fitness hypothesis, the CORT-Adaptation hypothesis, and the CORT-Tradeoff hypothesis. The two reviews have since been cited nearly 900 times, but no clear consensus has emerged supporting one hypothesis over another. We propose that resource availability may be a major confound across studies. Life-history investment is determined by both allocation and acquisition, but current literature testing among the three GC-fitness hypotheses rarely incorporate metrics of resource availability. In 1986, van Noordwijk and de Jong (vN and dJ) proposed the acquisition/allocation Y-model to explain positive versus negative correlations between reproduction and survival across individuals. Their model elevated resources as critical to evaluating individual allocation strategies (favoring reproduction vs. survival), and therefore provides the ideal framework for testing across the three CORT hypotheses. Here, we review the three hypotheses in light of the last 10 years of data, introduce the vN and dJ framework as a model for fitness/GC hypothesis testing, and discuss best practices for using this framework. We believe incorporation of resource availability will reduce unexplained variability in GC-fitness tests, clarify support among the three hypotheses, and allow for greater power in testing across other context dependencies (e.g., life-history strategy) that likely regulate differential allocation to reproduction versus survival as GCs increase. |
Databáze: | OpenAIRE |
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