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Spatial Risk Assessment of Puma Predation on Livestock in Patagonia, Argentina

In this project we used knowledge on habitat preference and distribution of pumas and provided a first assessment of the spatial risk of livestock to puma depredation in Patagonian ranches, Argentina. In an initial step, we developed a rule-based habitat model in a Geographic Information System (GIS) to predict the distribution of puma habitat at a regional scale in Patagonia. We then used empirically derived puma occurrence records from Patagonian ranches (i) to test our regional habitat predictions, and (ii) to evaluate if paddock characteristics (vegetation cover, topography, and distance to roads) contribute to explain puma occurrences within ranches. Finally, we simulated three livestock management scenarios differing in their spatial and seasonal allocation of livestock to paddocks, and compared the likelihood of livestock exposure to pumas among scenarios. At a regional scale, 22% of the study region was predicted to be suitable for puma home ranges (see Figure below). The greatest uncertainty in these predictions resulted from assumptions on woody vegetation cover requirements at the home range scale. Within ranches, puma occurrences were positively associated with paddock topography, woody vegetation cover on paddocks, and proximity to predicted regional puma habitat. Comparing the risk of depredation by puma among simulated livestock management scenarios implied that rotating livestock during seasons may help to reduce the likelihood of livestock exposure to pumas. Our results show the usefulness of rule-based habitat models for describing broad-scale carnivore distribution and for aiding risk assessments to mitigate conflicts between predators and human activities.

Keywords: Akaike Information Criterion, carnivore conservation, Geographic Information System, human-carnivore conflict, logistic regression, model uncertainty, rule-based habitat model.

Publication:

  • Kissling, W.D., Fernández, N. & Paruelo, J.M. (2009): Spatial risk assessment of livestock exposure to pumas in Patagonia, Argentina. Ecography 32: 807–817. [Abstract]

Figure - Vegetation and predicted puma habitat in the western portion of the extra-Andean Patagonian steppes, Argentina. A: Vegetation map showing the approximately 94 000 km² study area. Black = woody vegetation patches > 500 ha; Dark grey = shrub steppes; Light grey = grass steppes and prairies; White = water, snow and rocks. B: Predicted puma habitat based on rule-based habitat model. Black = 50-100% woody vegetation cover in window of 100 km² size, dark grey = 25-50% woody vegetation cover, white = 10-25% woody vegetation cover, light grey = < 10% woody vegetation cover (also contains excluded area at the edge of the map), X = location of ranches.


W. Daniel Kissling