Hostname: page-component-74656f9884-kv2lp Total loading time: 0 Render date: 2026-11-06T05:02:19.373Z Has data issue: false hasContentIssue false

Relationship between rural depopulation and puma-human conflict in the high Andes of Chile

Published online by Cambridge University Press:  12 August 2015

OMAR OHRENS*
Affiliation:
Nelson Institute for Environmental Studies, University of Wisconsin, 550 North Park Street, Madison, WI 53706, USA Fauna Australis Wildlife Laboratory, Department of Ecosystem and the Environment, School of Agriculture and Forestry Engineering, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, PO Box 306–22, Macul, Santiago, Chile
ADRIAN TREVES
Affiliation:
Nelson Institute for Environmental Studies, University of Wisconsin, 550 North Park Street, Madison, WI 53706, USA
CRISTIÁN BONACIC
Affiliation:
Fauna Australis Wildlife Laboratory, Department of Ecosystem and the Environment, School of Agriculture and Forestry Engineering, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, PO Box 306–22, Macul, Santiago, Chile Interdisciplinary Center for Intercultural and Indigenous Studies, Institute of Sociology, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, PO Box 306–22, Macul, Santiago, Chile
*
*Correspondence: Omar Ohrens Tel: +1 518 3534835 e-mail: ohrens@wisc.edu
Rights & Permissions [Opens in a new window]

Summary

Rural depopulation has different effects on biodiversity and ecosystems in many regions of the world. For large carnivores such as pumas (Puma concolor) the effects are uncertain. An analysis of relationships between patterns of rural depopulation and perceptions of the risk posed by pumas among Aymara people in the altiplano region of Chile examined perceived risk, as well as self-reported losses, in relation to livestock husbandry, sociodemographic variables (age, household size, and residency status), and reported self-sufficiency. There was no evidence that rural depopulation elevated perceived risk, or the level of self-reported losses of livestock blamed on pumas. Indeed, many respondents, including older respondents and those with smaller households, reported a decline in perceived risk over the preceding five years. These perceptions of risk were not associated with self-reported losses to pumas in the previous year. An increase in perceived risk was associated with the use of guards for livestock, suggesting livestock owners accommodated their absences from herds by using guards. Absolute numbers of livestock lost increased with the distance from households to where livestock were grazed or gave birth. A cost-effective verification system for puma attacks is recommended, and further human dimensions research is required to identify the owners who complained and the costs and benefits of different wildlife species. Further interventions to prevent either livestock losses or retaliation against pumas can then be targeted more precisely.

Information

Type
Papers
Copyright
Copyright © Foundation for Environmental Conservation 2015 
Figure 0

Figure 1 (a) Tarapacá region location in Chile (lower right). (b) Diagrammatic map of the Chilean altiplano of the Tarapacá region showing location of the town of Colchane, villages, and the national parks (NP). Villages with no respondents labelled no presence.

Figure 1

Table 1 Sociodemographic variables associated with rural depopulation tested against ‘perceived risk’ (where +1 = increased, 0 = no change, –1 = diminished; ordinal variable) of puma attack on livestock since 2008 (n = 58 Aymara respondents who reported puma losses). *Significant p-value.

Figure 2

Table 2 Sociodemographic variables (see Table 1) associated with rural depopulation tested against self-reported losses of livestock since 2012 measured as absolute losses and percentage of herd size (continuous variables). Sample size declined from n = 61 respondents to n = 58 for the self sufficiency variable, as the question concerned mitigation of puma predation and three respondents did not report any puma predation in their lifetimes. *Significant p-value.

Figure 3

Figure 2 Histogram of the frequency with which 61 Aymara respondents ranked common sources of injury to livestock as the worst problems (rank 1 = worst).

Figure 4

Figure 3 Ranking (where 1 = most problematic) of wildlife species in response to the question ‘Which is the species that causes you most problems?’ Bubble size indicates the number of respondents assigning the wildlife species a ranking order on the x-axis. Not all respondents ranked all wildlife as problematic, so sample sizes vary across wildlife species.

Supplementary material: File

Ohrens supplementary material S1

Appendix

Download Ohrens supplementary material S1(File)
File 17.6 KB