Suppr超能文献

等待也可以成为一种最优的保护策略,即使在危机学科也是如此。

Waiting can be an optimal conservation strategy, even in a crisis discipline.

机构信息

Australian Research Council Centre of Excellence for Environmental Decisions, The University of Queensland, St Lucia, QLD 4072, Australia;

Centre for Biodiversity and Conservation Science, The University of Queensland, St Lucia, QLD 4072, Australia.

出版信息

Proc Natl Acad Sci U S A. 2017 Sep 26;114(39):10497-10502. doi: 10.1073/pnas.1702111114. Epub 2017 Sep 11.

Abstract

Biodiversity conservation projects confront immediate and escalating threats with limited funding. Conservation theory suggests that the best response to the species extinction crisis is to spend money as soon as it becomes available, and this is often an explicit constraint placed on funding. We use a general dynamic model of a conservation landscape to show that this decision to "front-load" project spending can be suboptimal if a delay allows managers to use resources more strategically. Our model demonstrates the existence of temporal efficiencies in conservation management, which parallel the spatial efficiencies identified by systematic conservation planning. The optimal timing of decisions balances the rate of biodiversity decline (e.g., the relaxation of extinction debts, or the progress of climate change) against the rate at which spending appreciates in value (e.g., through interest, learning, or capacity building). We contrast the benefits of acting and waiting in two ecosystems where restoration can mitigate forest bird extinction debts: South Australia's Mount Lofty Ranges and Paraguay's Atlantic Forest. In both cases, conservation outcomes cannot be maximized by front-loading spending, and the optimal solution recommends substantial delays before managers undertake conservation actions. Surprisingly, these delays allow superior conservation benefits to be achieved, in less time than front-loading. Our analyses provide an intuitive and mechanistic rationale for strategic delay, which contrasts with the orthodoxy of front-loaded spending for conservation actions. Our results illustrate the conservation efficiencies that could be achieved if decision makers choose when to spend their limited resources, as opposed to just where to spend them.

摘要

生物多样性保护项目面临着有限资金的即时和不断升级的威胁。保护理论表明,应对物种灭绝危机的最佳对策是一有资金就尽快投入,这通常是对资金的明确限制。我们使用保护景观的通用动态模型表明,如果延迟允许管理者更具战略性地利用资源,那么这种“前置”项目支出的决策可能不是最优的。我们的模型展示了保护管理中的时间效率的存在,这与系统保护规划确定的空间效率平行。决策的最佳时机平衡了生物多样性下降的速度(例如,缓解灭绝债务的速度,或气候变化的进展)与支出增值的速度(例如,通过利息、学习或能力建设)。我们在两个可以通过恢复来减轻森林鸟类灭绝债务的生态系统中比较了行动和等待的好处:南澳大利亚的洛夫蒂山脉和巴拉圭的大西洋森林。在这两种情况下,通过前置支出都不能使保护成果最大化,最优解决方案建议在管理者采取保护行动之前进行大量延迟。令人惊讶的是,这些延迟使得在更短的时间内可以实现更好的保护效果,而不是前置支出。我们的分析为战略延迟提供了直观和机械的理由,这与保护行动的前置支出正统观念形成对比。我们的结果说明了如果决策者选择何时使用他们有限的资源,而不是仅仅选择在哪里使用资源,那么可以实现的保护效率。

相似文献

3
Optimal conservation outcomes require both restoration and protection.最佳的保护成果需要恢复和保护并重。
PLoS Biol. 2015 Jan 27;13(1):e1002052. doi: 10.1371/journal.pbio.1002052. eCollection 2015 Jan.
5
Extinction debt: a challenge for biodiversity conservation.灭绝债务:生物多样性保护面临的一项挑战。
Trends Ecol Evol. 2009 Oct;24(10):564-71. doi: 10.1016/j.tree.2009.04.011. Epub 2009 Aug 6.

引用本文的文献

1
Distribution of capitalized benefits from land conservation.土地保护资本收益分配。
Proc Natl Acad Sci U S A. 2023 May 2;120(18):e2215262120. doi: 10.1073/pnas.2215262120. Epub 2023 Apr 24.

本文引用的文献

1
The value of flexibility in conservation financing.保护融资灵活性的价值。
Conserv Biol. 2017 Jun;31(3):666-674. doi: 10.1111/cobi.12771. Epub 2017 Mar 20.
4
Optimal conservation outcomes require both restoration and protection.最佳的保护成果需要恢复和保护并重。
PLoS Biol. 2015 Jan 27;13(1):e1002052. doi: 10.1371/journal.pbio.1002052. eCollection 2015 Jan.
9
On valuing information in adaptive-management models.论适应管理模型中的信息价值。
Conserv Biol. 2010 Aug;24(4):984-93. doi: 10.1111/j.1523-1739.2009.01443.x. Epub 2010 Feb 4.
10
A safe operating space for humanity.人类的安全操作空间。
Nature. 2009 Sep 24;461(7263):472-5. doi: 10.1038/461472a.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验