Treakle Tyler, Epanchin-Niell Rebecca, Iacona Gwenllian D
Resources for the Future, Washington, D.C., USA.
ASU School of Sustainability, Arizona State University, Tempe, Arizona, USA.
Conserv Biol. 2023 Oct;37(5):e14104. doi: 10.1111/cobi.14104. Epub 2023 Jul 12.
In recent decades, there has been an increasing emphasis on proactive efforts to conserve species being considered for listing under the U.S. Endangered Species Act (ESA) before they are listed (i.e., preemptive conservation). These efforts, which depend on voluntary actions by public and private land managers across the species' range, aim to conserve species while avoiding regulatory costs associated with ESA listing. We collected data for a set of social, economic, environmental, and institutional factors that we hypothesized would influence voluntary decisions to promote or inhibit preemptive conservation of species under consideration for ESA listing. We used logistic regression to estimate the association of these factors with preemptive conservation outcomes based on data for a set of species that entered the ESA listing process and were either officially listed (n = 314) or preemptively conserved (n = 73) from 1996 to 2018. Factors significantly associated with precluded listing due to preemptive conservation included high baseline conservation status, low proportion of private land across the species' range, small total range size, exposure to specific types of threats, and species' range extending over several states. These results highlight strategies that can help improve conservation outcomes, such as allocating resources for imperiled species earlier in the listing process, addressing specific threats, and expanding incentives and coordination mechanisms for conservation on private lands.
近几十年来,人们越来越强调在根据美国《濒危物种法》(ESA)被列入名录之前,就积极主动地保护那些正在被考虑列入该名录的物种(即预防性保护)。这些努力依赖于物种分布范围内公共和私人土地管理者的自愿行动,旨在保护物种的同时避免与ESA名录相关的监管成本。我们收集了一系列社会、经济、环境和制度因素的数据,我们假设这些因素会影响人们做出促进或抑制对正在考虑列入ESA名录的物种进行预防性保护的自愿决策。基于1996年至2018年进入ESA名录程序并最终被正式列入名录(n = 314)或得到预防性保护(n = 73)的一组物种的数据,我们使用逻辑回归来估计这些因素与预防性保护结果之间的关联。与因预防性保护而避免被列入名录显著相关的因素包括较高的基线保护状况、物种分布范围内私有土地比例较低、总分布范围较小、面临特定类型的威胁以及物种分布跨越多个州。这些结果凸显了有助于改善保护成果的策略,比如在名录程序的早期阶段为濒危物种分配资源、应对特定威胁以及扩大对私有土地保护的激励措施和协调机制。