Bode Michael, Wilson Kerrie A, Brooks Thomas M, Turner Will R, Mittermeier Russell A, McBride Marissa F, Underwood Emma C, Possingham Hugh P
The Ecology Center, School of Integrative Biology and Department of Mathematics, University of Queensland, St. Lucia 4072, Australia.
Proc Natl Acad Sci U S A. 2008 Apr 29;105(17):6498-501. doi: 10.1073/pnas.0710705105. Epub 2008 Apr 14.
Priorities for conservation investment at a global scale that are based on a single taxon have been criticized because geographic richness patterns vary taxonomically. However, these concerns focused only on biodiversity patterns and did not consider the importance of socioeconomic factors, which must also be included if conservation funding is to be allocated efficiently. In this article, we create efficient global funding schedules that use information about conservation costs, predicted habitat loss rates, and the endemicity of seven different taxonomic groups. We discover that these funding allocation schedules are less sensitive to variation in taxon assessed than to variation in cost and threat. Two-thirds of funding is allocated to the same regions regardless of the taxon, compared with only one-fifth if threat and cost are not included in allocation decisions. Hence, if socioeconomic factors are considered, we can be more confident about global-scale decisions guided by single taxonomic groups.
基于单一分类单元的全球范围内保护投资优先级受到了批评，因为地理丰富度模式在分类学上存在差异。然而，这些担忧仅聚焦于生物多样性模式，并未考虑社会经济因素的重要性，而若要有效分配保护资金，社会经济因素也必须纳入考量。在本文中，我们利用有关保护成本、预测的栖息地丧失率以及七个不同分类群体的特有性信息，制定了高效的全球资金分配计划。我们发现，这些资金分配计划对所评估分类单元变化的敏感度低于对成本和威胁变化的敏感度。无论分类单元如何，三分之二的资金都分配到相同区域，而若在分配决策中不考虑威胁和成本，这一比例仅为五分之一。因此，如果考虑社会经济因素，我们对于由单一分类群体指导的全球范围决策会更有信心。
