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Onsdag 16 augusti 10:15

Don't forget to look down – collaborative approaches to predator conservation

Artikel i vetenskaplig tidskrift
Författare Steve M. Redpath
John D. C. Linnell
Marco Festa-Bianchet
Luigi Boitani
Nils Brunnefeld
Amy Dickman
R. J. Gutiérrez
Maria Johansson
Alexandra Majic
Barry J. McMahon
Simon Pooley
Camilla Sandström
Annelie Sjölander Lindqvist
Ketil Skogen
John E. Swenson
Arie Trouwborst
Juliette Young
E. J. Milner-Gulland
Publicerad i Biological Reviews
Publiceringsår 2017
Publicerad vid Gothenburg Research Institute (GRI)
Språk en
Länkar https://doi.org/10.1111/brv.12326
https://gup-server.ub.gu.se/v1/asse...
Ämnesord predator management, conservation, carnivores, conflict, collaboration, top-down, bottom-up, hunting
Ämneskategorier Socialantropologi

Sammanfattning

Finding effective ways of conserving large carnivores is widely recognised as a priority in conservation. However, there is disagreement about the most effective way to do this, with some favouring top-down ‘command and control’ approaches and others favouring collaboration. Arguments for coercive top-down approaches have been presented elsewhere; here we present arguments for collaboration. In many parts of the developed world, flexibility of approach is built into the legislation, so that conservation objectives are balanced with other legitimate goals. In the developing world, limited resources, poverty and weak governance mean that collaborative approaches are likely to play a particularly important part in carnivore conservation. In general, coercive policies may lead to the deterioration of political legitimacy and potentially to non-compliance issues such as illegal killing, whereas collaborative approaches may lead to psychological ownership, enhanced trust, learning, and better social outcomes. Sustainable hunting/trapping plays a crucial part in the conservation and management of many large carnivores. There are many different models for how to conserve carnivores effectively across the world, research is now required to reduce uncertainty and examine the effectiveness of these approaches in different contexts.

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