Underwood Emma C, Shaw M Rebecca, Wilson Kerrie A, Kareiva Peter, Klausmeyer Kirk R, McBride Marissa F, Bode Michael, Morrison Scott A, Hoekstra Jonathan M, Possingham Hugh P
Department of Environmental Science and Policy, University of California Davis, Davis, California, USA.
PLoS One. 2008 Jan 30;3(1):e1515. doi: 10.1371/journal.pone.0001515.
Conventional wisdom identifies biodiversity hotspots as priorities for conservation investment because they capture dense concentrations of species. However, density of species does not necessarily imply conservation 'efficiency'. Here we explicitly consider conservation efficiency in terms of species protected per dollar invested.
METHODOLOGY/PRINCIPAL FINDINGS: We apply a dynamic return on investment approach to a global biome and compare it with three alternate priority setting approaches and a random allocation of funding. After twenty years of acquiring habitat, the return on investment approach protects between 32% and 69% more species compared to the other priority setting approaches. To correct for potential inefficiencies of protecting the same species multiple times we account for the complementarity of species, protecting up to three times more distinct vertebrate species than alternate approaches.
CONCLUSIONS/SIGNIFICANCE: Incorporating costs in a return on investment framework expands priorities to include areas not traditionally highlighted as priorities based on conventional irreplaceability and vulnerability approaches.
传统观念认为生物多样性热点地区是保护投资的优先区域,因为这些地区物种密集。然而,物种密度并不一定意味着保护“效率”。在此,我们明确从每投入一美元所保护的物种数量角度来考量保护效率。
方法/主要发现:我们将动态投资回报率方法应用于全球生物群落,并将其与三种其他的优先区域设定方法以及资金随机分配方式进行比较。在获取栖息地二十年之后,与其他优先区域设定方法相比,投资回报率方法多保护了32%至69%的物种。为纠正多次保护同一物种可能产生的低效率问题,我们考虑了物种的互补性,所保护的独特脊椎动物物种数量比其他方法多两倍。
结论/意义:在投资回报率框架中纳入成本,会扩大优先区域范围,将那些基于传统的不可替代性和脆弱性方法未被传统上视为优先区域的地区也纳入其中。