Hansen Lara J, Rudnick Deborah A, Braddock Kathryn N, Drake Arden, Covington Scott, Fox Helen E, Hall Kimberly R, Hansen James B, Lundquist Carolyn J, Mielbrecht Eric E, West Jordan M
EcoAdapt, Bainbridge Island, Washington, DC, USA.
United States Fish & Wildlife Service, Vancouver, Washington, USA.
Conserv Sci Pract. 2025 Jun 10;7(6):e70060. doi: 10.1111/csp2.70060. Epub 2025 May 4.
Evidence is lacking for what constitutes effective climate change adaptation to successfully conserve and steward ecosystems. Yet we urgently need this information to develop robust adaptation strategies to keep pace with unprecedented change, given our limited resources to do so. This includes not just understanding if a given strategy is effective in a single application, but perhaps more importantly if a given strategy has proven effective across sites where it has been applied, or has benefits only under certain sets of conditions. This learning across the field of adaptation is currently missing and is what is necessary for bringing adaptation to scale. We propose an approach that can guide adaptation efficacy testing under varying levels of baseline knowledge and ecosystem complexity. The approach includes clearly defining conservation goals and climate vulnerabilities, methodically collecting site and climate metrics to inform analysis of efficacy, and evaluating and communicating both positive and negative results in order to advance the adaptation field. Using this approach with meta-analyses and post-hoc testing can quickly scale efficacy testing in a meaningful way. Furthermore, explicitly incorporating efficacy testing into adaptation processes can support the growth of the adaptation field and spark creative, adaptive management approaches that will increase the likelihood of reducing climate change vulnerability.
目前尚缺乏关于什么构成有效的气候变化适应措施以成功保护和管理生态系统的证据。然而,鉴于我们用于应对气候变化的资源有限,且气候变化正以前所未有的速度发生,我们迫切需要这些信息来制定强有力的适应策略,以跟上这种变化。这不仅包括了解某一特定策略在单次应用中是否有效,或许更重要的是,某一特定策略在其应用的各个地点是否都已被证明有效,或者是否仅在某些特定条件下才具有益处。目前,整个适应领域都缺乏这种经验总结,而这对于扩大适应措施的应用规模来说是必不可少的。我们提出一种方法,该方法可以指导在不同水平的基线知识和生态系统复杂性条件下进行适应效果测试。该方法包括明确界定保护目标和气候脆弱性,系统地收集场地和气候指标以用于效果分析,并对正面和负面结果进行评估和交流,从而推动适应领域的发展。将这种方法与荟萃分析和事后检验相结合,可以以一种有意义的方式迅速扩大效果测试的规模。此外,将效果测试明确纳入适应过程,可以支持适应领域的发展,并激发创新的适应性管理方法,从而增加降低气候变化脆弱性的可能性。