Density and activity patterns of pumas in hunted and non-hunted areas in central Argentina
Juan I. Zanón-Martínez A D , Marcella J. Kelly B , J. Bernardo Mesa-Cruz B , José H. Sarasola A , Clark DeHart B and Alejandro Travaini C
+ Author Affiliations
- Author Affiliations
A Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Instituto de Ciencias de la Tierra y Ambientales de La Pampa (INCITAP), Centro para el Estudio y Conservación de las Aves Rapaces en Argentina (CECARA) and Universidad Nacional de La Pampa (UNLPam), Avenida Uruguay 151, 6300 Santa Rosa, La Pampa, Argentina.
B Virginia Tech, Department of Fish and Wildlife Conservation, 146 Cheatham Hall, Blacksburg, VA 24061-0321, USA.
C Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) - Centro de Investigaciones de Puerto Deseado, Universidad Nacional de la Patagonia Austral, C.C. 238, Avenida Prefectura Naval S/N, 9050 Puerto Deseado, Santa Cruz, Argentina.
D Corresponding author. Email: jzanon@conicet.gov.ar
Wildlife Research 43(6) 449-460 https://doi.org/10.1071/WR16056
Submitted: 23 March 2016 Accepted: 10 August 2016 Published: 19 September 2016
Abstract
Context: Hunting has demographic effects on large and medium carnivores, causing population reductions and even extinctions worldwide. Yet, there is little information on carnivore demographic parameters and spatial and temporal land-use patterns in areas experiencing sport hunting, thus hindering effective conservation plans for such areas.
Aims: We estimated densities and determined activity patterns of pumas (Puma concolor) from camera-trapping surveys in a protected area and in a game reserve with sport hunting, in the Caldén forest of central Argentina.
Methods: We used both non-spatial and spatial mark–resight techniques to estimate and compare puma densities and we used kernel-density estimation (KDE) techniques to analyse and compare puma activity patterns between study sites.
Key results: Puma densities estimated from spatial models were lower than densities estimated from non-spatial mark–resight techniques. However, estimated density of pumas in the protected area was always higher (range = 4.89–9.32 per 100 km2) than in the game reserve (range = 0.52–1.98 per 100 km2), regardless of the estimation technique used. Trapping rates for large mammal prey were similar across sites. Pumas exhibited more nocturnal behaviour and high activity peaks at 0600 hours and 1100 hours in the hunted game reserve, whereas puma activity was spread more evenly around the clock in the protected area.
Conclusions: The higher puma densities in the protected area reflect the potential for such areas to function as refugia in a human-dominated landscape. However, the game reserve had a lower puma density than the protected area despite high trap rates of large prey, indicating that these areas may function as attractive sinks.
Implications: Our results could indicate that puma sport hunting in the Caldén forest should be managed at a metapopulation, regional level, and include both no-hunting areas (protected area, as potential sources) and hunting areas (game reserves, as potential sinks). Considering that our study areas were small and that this was an unreplicated study, we urge more research to be conducted, so as to determine whether sport hunting is compatible with puma conservation in the region.
Additional keywords: Caldén forest, camera surveys, hunting, mark–resight, population density, Puma concolor.
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