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基于生态系统的管理与生态系统的财富。

Ecosystem-based management and the wealth of ecosystems.

机构信息

School of Forestry and Environmental Studies, Yale University, New Haven, CT 06511.

National Oceanic and Atmospheric Administration National Marine Fisheries Service, Silver Spring, MD 20910.

出版信息

Proc Natl Acad Sci U S A. 2017 Jun 20;114(25):6539-6544. doi: 10.1073/pnas.1617666114. Epub 2017 Jun 6.

Abstract

We merge inclusive wealth theory with ecosystem-based management (EBM) to address two challenges in the science of sustainable management of ecosystems. First, we generalize natural capital theory to approximate realized shadow prices for multiple interacting natural capital stocks (species) making up an ecosystem. These prices enable ecosystem components to be better included in wealth-based sustainability measures. We show that ecosystems are best envisioned as portfolios of assets, where the portfolio's performance depends on the performance of the underlying assets influenced by their interactions. Second, changes in ecosystem wealth provide an attractive headline index for EBM, regardless of whether ecosystem wealth is ultimately included in a broader wealth index. We apply our approach to the Baltic Sea ecosystem, focusing on the interacting community of three commercially important fish species: cod, herring, and sprat. Our results incorporate supporting services embodied in the shadow price of a species through its trophic interactions. Prey fish have greater shadow prices than expected based on market value, and predatory fish have lower shadow prices than expected based on market value. These results are because correctly measured shadow prices reflect interdependence and limits to substitution. We project that ecosystem wealth in the Baltic Sea fishery ecosystem generally increases conditional on the EBM-inspired multispecies maximum sustainable yield management beginning in 2017, whereas continuing the current single-species management generally results in declining wealth.

摘要

我们将包容性财富理论与基于生态系统的管理 (EBM) 相结合,以应对生态系统可持续管理科学中的两个挑战。首先,我们将自然资本理论推广到近似于构成生态系统的多个相互作用的自然资本存量(物种)的实际影子价格。这些价格使生态系统的组成部分能够更好地纳入基于财富的可持续性措施中。我们表明,生态系统最好被视为资产组合,其中投资组合的表现取决于受其相互作用影响的基础资产的表现。其次,生态系统财富的变化为 EBM 提供了一个有吸引力的头条指标,而不管生态系统财富最终是否被纳入更广泛的财富指数中。我们将我们的方法应用于波罗的海生态系统,重点关注三种具有商业重要性的鱼类:鳕鱼、鲱鱼和鲱鱼。我们的结果纳入了通过食物链相互作用体现的物种支持服务的影子价格。猎物鱼类的影子价格高于基于市场价值的预期,而捕食性鱼类的影子价格低于基于市场价值的预期。这些结果是因为正确衡量的影子价格反映了相互依存关系和替代的限制。我们预测,在 2017 年开始的基于 EBM 的多物种最大可持续产量管理的激励下,波罗的海渔业生态系统的生态系统财富总体上会增加,而继续采用当前的单一物种管理通常会导致财富减少。

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