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Introducing a common taxonomy to support learning from failure in conservation
Authors:Iain Dickson  Stuart H M Butchart  Allison Catalano  David Gibbons  Julia P G Jones  Katie Lee-Brooks  Thomasina Oldfield  David Noble  Stuart Paterson  Sugoto Roy  Julien Semelin  Paul Tinsley-Marshall  Rosie Trevelyan  Hannah Wauchope  Sylvia Wicander  William J Sutherland
Institution:1. BirdLife International, Cambridge, UK;2. BirdLife International, Cambridge, UK

Department of Zoology, Cambridge University, Cambridge, UK;3. Department of Life Sciences, Imperial College London, Ascot, UK;4. RSPB Centre for Conservation Science, Royal Society for the Protection of Birds, The Lodge, Sandy, UK;5. College of Environmental Sciences and Engineering, Bangor University, Bangor, UK;6. Fauna & Flora International, Cambridge, UK;7. TRAFFIC International, Cambridge, UK;8. The British Trust for Ornithology, The Nunnery, Thetford, UK;9. Fauna & Flora International, Cambridge, UK

Conservation Leadership Programme, Cambridge, UK;10. IUCN, Gland, Switzerland;11. MAVA Foundation, Gland, Switzerland;12. Kent Wildlife Trust, Maidstone, UK;13. Tropical Biology Association, Cambridge, UK;14. Centre for Ecology and Conservation, College of Life and Environmental Sciences, University of Exeter, Penryn, UK

Conservation Science Group, Department of Zoology, Cambridge University, Cambridge, UK;15. United Nations Environment Programme World Conservation Monitoring Centre, Cambridge, UK;16. Conservation Science Group, Department of Zoology, Cambridge University, Cambridge, UK

Abstract:Although some sectors have made significant progress in learning from failure, there is currently limited consensus on how a similar transition could best be achieved in conservation and what is required to facilitate this. One of the key enabling conditions for other sectors is a widely accepted and standardized classification system for identifying and analyzing root causes of failure. We devised a comprehensive taxonomy of root causes of failure affecting conservation projects. To develop this, we solicited examples of real-life conservation efforts that were deemed to have failed in some way, identified their underlying root causes of failure, and used these to develop a generic, 3-tier taxonomy of the ways in which projects fail, at the top of which are 6 overarching cause categories that are further divided into midlevel cause categories and specific root causes. We tested the taxonomy by asking conservation practitioners to use it to classify the causes of failure for conservation efforts they had been involved in. No significant gaps or redundancies were identified during this testing phase. We then analyzed the frequency that particular root causes were encountered by projects within this test sample, which suggested that some root causes were more likely to be encountered than others and that a small number of root causes were more likely to be encountered by projects implementing particular types of conservation action. Our taxonomy could be used to improve identification, analysis, and subsequent learning from failed conservation efforts, address some of the barriers that currently limit the ability of conservation practitioners to learn from failure, and contribute to establishing an effective culture of learning from failure within conservation.
Keywords:adaptive management  classification  failure  informing solutions  learning  reflection  aprendizaje  clasificación  fracaso  informar soluciones  manejo adaptativo  reflexión  失败  分类  学习  适应性管理  反思  提供解决方案
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