复杂人-环境系统中生态系统服务支付的级联效应

Li An, Judy Mak, Shuang Yang, R. Lewison, D. Stow, H. Chen, Weihua Xu, Lei Shi, Y. Tsai
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引用次数: 17

摘要

与生态系统服务支付(PES)相关的理论和实践以各种零碎的研究为特征,这些研究与社会经济、人口和环境变量的影响有关,缺乏以空间和时间明确的方式理解它们之间相互关系的努力。此外,除了土地利用和土地覆盖及其变化之外,PES文献缺乏记录PES后果的生态指标。基于梵净山国家级自然保护区(FNNR)的详细调查数据,我们建立了一个基于agent的模型,研究了20多年来人类生计(特别是迁移和资源开采)、PES和贵州金丝猴栖息地占用之间的复杂相互作用。然后,我们进行了基于模拟的实验,测试了PES支付的社会和生态影响以及人口压力。结果表明:随着外迁人数的稳步增加,中国主要PES项目中登记的地块数量呈增加、达到峰值后缓慢下降的趋势,无论支付水平如何,均呈现向稳定的登记地块数量收敛的凸趋势;在FNNR边缘区域,模拟猴子占用率对PES支付水平的变化有显著的响应。我们的模型不仅对FNNR有用,而且可以作为一个平台来研究和进一步理解PES在许多其他复杂的人类-环境系统中的人类和生态作用,揭示PES研究人员和从业者应该牢记的系统中的关键要素、相互作用或关系。我们的研究有助于建立纳入复杂系统特征的PES科学基础,从而为PES政策或相关干预措施提供更现实、空间和时间上明确的见解。
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Cascading Impacts of Payments for Ecosystem Services in Complex Human-Environment Systems
The theory and practice associated with payments for ecosystem services (PES) feature a variety of piecemeal studies related to impacts of socioeconomic, demographic, and environmental variables, lacking e orts in understanding their mutual relationships in a spatially and temporally explicit manner. In addition, PES literature is short of ecological metrics that document the consequences of PES other than land use and land cover and its change. Building on detailed survey data from Fanjingshan National Nature Reserve (FNNR), China, we developed and tested an agent-basedmodel to study the complex interactions among human livelihoods (migration and resource extraction in particular), PES, and the Guizhou golden monkey habitat occupancy over 20 years. We then performed simulation-based experiments testing social and ecological impacts of PES payments as well as human population pressures. The results show that with a steady increase in outmigration, the number of land parcels enrolled in one of China’s major PES programs tends to increase, reach a peak, and then slowly decline, showing a convex trend that converges to a stable number of enrolled parcels regardless of payment levels. Simulated monkey occupancy responds to changes in PES payment levels substantially in edge areas of FNNR. Our model is not only useful for FNNR, but also applicable as a platform to study and further understand human and ecological roles of PES in many other complex human-environment systems, shedding light into key elements, interactions, or relationships in the systems that PES researchers and practitioners should bear inmind. Our research contributes to establishing a scientific basis of PES science that incorporates features in complex systems, o eringmore realistic, spatially and temporally explicit insights related to PES policy or related interventions.
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