权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

A framework for species conservation by managed relocation: quantifying risks, uncertainties, and alternatives

通过有管理的搬迁进行物种保护的框架：量化风险、不确定性和替代方案

基本信息

批准号：
1655475
负责人：
Marissa Baskett
金额：
$ 42.3万
依托单位：
University of California-Davis
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-04-15 至 2022-03-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1655475&HistoricalAwards=false
关键词：
framework species conservation managed relocation

项目摘要

If environmental changes such as habitat loss, or changes in temperature and precipitation threaten a species' ability to thrive in a given geographic area, conservation biologists might promote their survival by moving individuals of that species to more appropriate environments. However, this approach, called managed relocation, entails a number of risks, such as moving organisms at the wrong time or to the wrong location or introducing species that may become problematic in their new environments. This project will examine the risks and benefits of moving species to more appropriate locations as opposed to simply protecting their current habitats. A key part of this project will be to explore how the uncertainty of available environmental information might influence the decision making process used by wildlife managers. The outcomes from this study will benefit society by informing conservation planning decisions across a variety of plant and animal species and will advance science education by combining basic research with its direct application. The goal of this project is to quantify how the potential benefits and risks of managed relocation strategies compare to protection and restoration programs under different sources of uncertainty and decision-making processes. A suite of dynamical modeling frameworks will be employed to model managed relocation, which is defined as the purposeful movement of both species (assisted migration) and genotypes (assisted gene flow) beyond their historical range, with the intention of supporting population persistence under different models of changing environmental conditions. Competitive metacommunity models will model assisted migration accounting for the risk of accidentally introducing invasive species that negatively impact recipient communities, and coupled genetic-demographic models will examine the risk of loss of local adaptation and metapopulation-level genetic diversity. All models will quantify how risks and benefits depend on the demographic and environmental indicators used, with associated uncertainty, to decide when, where, and how many individuals to relocate. In turn, this study will also address how local-scale rescue and global-scale homogenization trade-off in determining the effects of connectivity on diversity. Finally, this project will advance the understanding of how conservation associated decision-making should be approached given ongoing global change and different levels of uncertainty.

如果环境变化，如栖息地丧失，或温度和降水的变化威胁到物种在特定地理区域的生存能力，保护生物学家可能会通过将该物种的个体迁移到更合适的环境来促进它们的生存。然而，这种被称为有管理的迁移的方法带来了一些风险，例如在错误的时间或将生物体迁移到错误的地点，或引入可能在新环境中成为问题的物种。该项目将研究将物种迁移到更合适的地点而不是简单地保护其现有栖息地的风险和好处。该项目的一个关键部分将是探索现有环境信息的不确定性如何影响野生动物管理者的决策过程。这项研究的成果将通过为各种动植物物种的保护规划决策提供信息而使社会受益，并将通过将基础研究与其直接应用相结合来促进科学教育。本项目的目标是量化管理搬迁战略的潜在利益和风险，比较不同来源的不确定性和决策过程下的保护和恢复计划。一套动态的建模框架将被用来模拟管理搬迁，这是被定义为有目的的运动的物种（辅助迁移）和基因型（辅助基因流）超出其历史范围，在不同的模式下不断变化的环境条件下，支持人口的持久性的意图。竞争性集合种群模型将模拟辅助迁移，考虑意外引入对接受社区产生负面影响的入侵物种的风险，耦合遗传-人口模型将研究当地适应和集合种群遗传多样性丧失的风险。所有模型都将量化风险和收益如何取决于所使用的人口和环境指标，以及相关的不确定性，以决定何时，何地以及搬迁多少人。反过来，本研究还将讨论如何在确定连接性对多样性的影响时，局部规模的拯救和全球规模的同质化权衡。最后，该项目将促进对保护相关决策的理解，考虑到持续的全球变化和不同程度的不确定性，应如何处理。