首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Planning for ex situ conservation in the face of uncertainty
Authors:Stefano Canessa  Sarah J Converse  Matt West  Nick Clemann  Graeme Gillespie  Michael McFadden  Aimee J Silla  Kirsten M Parris  Michael A McCarthy
Institution:1. ARC Centre of Excellence for Environmental Decisions, School of BioSciences, University of Melbourne, Victoria, Australia;2. United States Geological Survey, Patuxent Wildlife Research Center, Laurel, U.S.A;3. Wildlife Conservation and Science, Zoos Victoria, Parkville, Victoria, Australia;4. Arthur Rylah Institute for Environmental Research, Department of Environment and Primary Industries, Heidelberg, Victoria, Australia;5. Flora and Fauna Division, NT Department of Land Resource Management, Palmerston, Northern Territory, Australia;6. Taronga Conservation Society Australia, Mosman, NSW, Australia;7. Institute for Conservation Biology and Environmental Management, School of Biological Sciences, University of Wollongong, Wollongong, Australia
Abstract:Ex situ conservation strategies for threatened species often require long‐term commitment and financial investment to achieve management objectives. We present a framework that considers the decision to adopt ex situ management for a target species as the end point of several linked decisions. We used a decision tree to intuitively represent the logical sequence of decision making. The first decision is to identify the specific management actions most likely to achieve the fundamental objectives of the recovery plan, with or without the use of ex‐situ populations. Once this decision has been made, one decides whether to establish an ex situ population, accounting for the probability of success in the initial phase of the recovery plan, for example, the probability of successful breeding in captivity. Approaching these decisions in the reverse order (attempting to establish an ex situ population before its purpose is clearly defined) can lead to a poor allocation of resources, because it may restrict the range of available decisions in the second stage. We applied our decision framework to the recovery program for the threatened spotted tree frog (Litoria spenceri) of southeastern Australia. Across a range of possible management actions, only those including ex situ management were expected to provide >50% probability of the species’ persistence, but these actions cost more than use of in situ alternatives only. The expected benefits of ex situ actions were predicted to be offset by additional uncertainty and stochasticity associated with establishing and maintaining ex situ populations. Naïvely implementing ex situ conservation strategies can lead to inefficient management. Our framework may help managers explicitly evaluate objectives, management options, and the probability of success prior to establishing a captive colony of any given species.
Keywords:captive breeding  cost‐effectiveness  decision tree  expert elicitation  management  multi‐attribute value  reintroduction  zoos  á  rbol de decisiones  datos de expertos  manejo  reintroducció  n  rentabilidad  reproducció  n en cautiverio  valor multi‐caracterí  stico  zooló  gicos
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号