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Cited by 272

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Fecal Glucocorticoids: A Noninvasive Method of Measuring Adrenal Activity in Wild and Captive Rodents

Harper, James M., Austad, Steven N.·2000·Physiological and Biochemical Zoology

Abstract

To determine the utility of fecal corticosteroid concentration as a measure of chronic stress under laboratory and field conditions, we biochemically and physiologically validated a radioimmunoassay for corticosteroids in three rodent species, house mice (Mus musculus), deer mice (Peromyscus maniculatus), and red-back voles (Clethrionomys gapperi). The biochemical validations demonstrated that the assay accurately and precisely measured corticosteroid concentration in the feces. The physiological validation indicated that the assay was sensitive enough to detect the stress associated with (a) brief handling and bleeding of animals, (b) chronic caloric restriction, (c) exposure to a novel environment, and (d) exposure to a novel cold environment. Our results suggest that fecal measurements reflect stress levels experienced by these animals approximately 6-12 h before defecation. Therefore, given a judicious trapping and trap-monitoring protocol, this assay has considerable utility for measuring the stress levels at which animals actually exist in the field.

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Metadata

Authors
Harper, J. M., & Austad, S. N.
Venue
Physiological and Biochemical Zoology
Published
2000-01
Volume
73
Issue
1
Pages
12-22
ISSN
  • 1522-2152 (ISSN-L)
  • 1537-5293
OpenAlex
W2155529925
Cited by
272
References
3
FWCI
2.42
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Fecal Glucocorticoids: A Noninvasive Method of Measuring Adrenal Activity in Wild and Captive Rodents. https://app.cochat.ai/papers/10.1086/316721
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Harper, J. M., & Austad, S. N. (2000). Fecal Glucocorticoids: A Noninvasive Method of Measuring Adrenal Activity in Wild and Captive Rodents. Physiological and Biochemical Zoology. https://doi.org/10.1086/316721

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.