A meta‐analysis of human disturbance effects on glucocorticoid hormones in free‐ranging wild vertebrates.

Autor: Pérez‐Ortega, Betzi, Hendry, Andrew P.
Předmět:
Zdroj: Biological Reviews; Oct2023, Vol. 98 Issue 5, p1459-1471, 13p
Abstrakt: Free‐ranging wild vertebrates need to cope with natural and anthropogenic stressors that cause short and/or long‐term behavioural and physiological responses. In areas of high human disturbance, the use of glucocorticoid (GC) hormones as biomarkers to measure stress responses is an increasingly common tool for understanding how animals cope with human disturbance. We conducted a meta‐analysis to investigate how human disturbances such as habitat conversion, habitat degradation, and ecotourism influence baseline GC hormones of free‐ranging wild vertebrates, and we further test the role of protected areas in reducing the impact of such disturbances on these hormones. A total of 58 studies met the inclusion criteria, providing 152 data points for comparing levels of GC hormones under disturbed and undisturbed conditions. The overall effect size suggests that human disturbance does not cause a consistent increase in levels of GC hormones (Hedges' g = 0.307, 95% CI = −0.062 to 0.677). However, when the data were analysed by disturbance type, living in unprotected areas or in areas with habitat conversion were found to increase GC hormone levels compared to living in protected or undisturbed areas. By contrast, we found no evidence that ecotourism or habitat degradation generates a consistent increase in baseline GC hormone levels. Among taxonomic groups, mammals appeared more sensitive to human disturbance than birds. We advocate the use of GC hormones for inferring major human‐caused contributors to the stress levels of free‐ranging wild vertebrates – although such information needs to be combined with other measures of stress and interpreted in the context of an organism's life history, behaviour, and history of interactions with human disturbance. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index