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Abstract Over the past decade, ecologists and physiologists alike have acknowledged the importance of environmental heterogeneity. Meaningful predictions of the responses of organisms to climate will require an explicit understanding of how organismal behavior and physiology are affected by such heterogeneity. Furthermore, the responses of organisms themselves are quite heterogeneous: physiology and behavior vary over different time scales and across different life stages, and because physiological systems do not operate in isolation of one another, they need to be considered in a more integrated fashion. Here, we review case studies from our laboratories to highlight progress that has been made along these fronts and generalizations that might be made to other systems, particularly in the context of predicting responses to climate change.
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The World Is Not Flat: Accounting for the Dynamic Nature of the Environment as We Move Beyond Static Experimental Manipulations
Abstract Although we have long understood that environmental variation affects both physiology and behavior, historically, most studies have limited or simplified environmental variation to focus more directly on traits of interest. Recently, a number of investigators have turned their focus toward attempting to incorporate such variation into studies of physiology and behavior, and not surprisingly, are finding that the results from studies that include more realistic variation, both from the environment as well as in physiological processes within individuals, can differ substantially from those of studies that attempt to hold the parameters constant. Understanding the role that this dynamic variation plays in shaping phenotypes is critical given that, under most predictions from future climate change models, increased variability in factors such as temperature and rainfall are predicted.
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- Award ID(s):
- 1833590
- PAR ID:
- 10118460
- Publisher / Repository:
- Oxford University Press
- Date Published:
- Journal Name:
- Integrative and Comparative Biology
- ISSN:
- 1540-7063
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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