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The value of understanding feedbacks from ecosystem functions to species for managing ecosystems

机译:了解从生态系统功能到物种的反馈对管理生态系统的价值

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摘要

Ecological systems are made up of complex and often unknown interactions and feedbacks. Uncovering these interactions and feedbacks among species, ecosystem functions, and ecosystem services is challenging, costly, and time-consuming. Here, we ask: for which ecosystem features does resolving the uncertainty about the feedbacks from ecosystem function to species improve management outcomes? We develop a dynamic value of information analysis for risk-neutral and risk-prone managers on motif ecosystems and explore the influence of five ecological features. We find that learning the feedbacks from ecosystem function to species does not improve management outcomes for maximising biodiversity, yet learning which species benefit from an ecosystem function improves management outcomes for ecosystem services by up to 25% for risk-neutral managers and 231% for risk-prone managers. Our general approach provides useful guidance for managers and researchers on when learning feedbacks from ecosystem function to species can improve management outcomes for multiple conservation objectives.
机译:生态系统由复杂且通常未知的相互作用和反馈组成。发现物种,生态系统功能和生态系统服务之间的这些相互作用和反馈是具有挑战性,昂贵且费时的。在这里,我们问:解决从生态系统功能到物种的反馈的不确定性,哪些生态系统特征可以改善管理成果?我们为主题生态系统上的风险中立和易风险管理者开发了信息分析的动态价值,并探索了五个生态特征的影响。我们发现,了解从生态系统功能到物种的反馈并不能改善用于最大化生物多样性的管理成果,但是了解哪种物种将从生态系统功能中受益,对于风险中性管理者而言,将生态系统服务的管理成果提高多达25%,对于风险而言,则提高了231%经理人。我们的一般方法为管理人员和研究人员提供了有用的指导,以了解何时从生态系统功能到物种的反馈可以改善多个保护目标的管理成果。

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