| Autor: |
Martínez-Mota, R.1, Valdespino, C.1 carolina.valdespino@inecol.edu.mx, Sánchez-Ramos, M. A.2, Serio-Silva, J. C.1 |
| Předmět: |
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| Zdroj: |
Animal Conservation. Aug2007, Vol. 10 Issue 3, p374-379. 6p. 4 Charts. |
| Abstrakt: |
Habitat loss and fragmentation can create severe environmental problems for forest species, and may ultimately lead to local population extinction. One mechanism that might play a role in this process is the physiological stress response of individuals, because animals that experience chronic stress might show reduced rates of reproduction and survival. In this study, we investigated whether black howler monkeys Alouatta pigra inhabiting forest fragments experienced greater physiological stress than those in continuous forest. Faecal cortisol metabolite levels were compared between monkeys inhabiting fragmented and continuous forests in Southern Mexico. The sex of the animals was taken into consideration, while activity patterns and aggressive events were also recorded to examine differences in behaviour and sociality. A chemiluminescent enzyme immunoassay was utilized to determine faecal cortisol metabolite levels. Our results showed that cortisol metabolite levels were higher in howler monkeys from forest fragments, and that they vary through time. Patterns of locomotion also differed between forest types, as monkeys from fragments travelled at higher frequencies, while monkeys from continuous forests performed more of their movements within tree crowns. There was no difference in the frequency of feeding, resting and social interactions between fragmented and continuous forest monkeys. Higher faecal cortisol metabolite levels in fragmented areas are likely the result of suboptimal environments and could have long-term adverse effects on monkey health, fertility and survival. We propose that faecal cortisol metabolite measurements can be a useful conservation tool for monitoring populations of long-lived species subsisting under suboptimal conditions. [ABSTRACT FROM AUTHOR] |
| Databáze: |
GreenFILE |
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