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Exploring the complex trade-offs and synergies of global ecosystem services

生态系统服务 生态系统 环境资源管理 业务 湿地 国内生产总值 基线(sea) 自然资源经济学 环境科学 经济 生态学 经济增长 海洋学 地质学 生物
作者
Wang Jinnan,Wenjun Wu,Meng Yang,Yueming Gao,Jiacheng Shao,Weishan Yang,Guoxia Ma,Fang Yu,Nan Yao,Hongqiang Jiang
出处
期刊:Environmental science & ecotechnology [Elsevier BV]
卷期号:21: 100391-100391 被引量:2
标识
DOI:10.1016/j.ese.2024.100391
摘要

The trade-off and synergy relationship of ecosystem services is an important topic in the current assessment. The value of each service provided by the ecosystem is substantially affected by human activities, and conversely, its changes will also affect the relevant human decisions. Due to varying trade-offs among ecosystem services and synergies between them that can either increase or decrease, it is difficult to optimize multiple ecosystem services simultaneously, making it a huge challenge for ecosystem management. This study develops a global Gross Ecosystem Product (GEP) accounting framework. It uses remote sensing data with a spatial resolution of 1 km to estimate the ecosystem services of forests, wetlands, grasslands, deserts, and farmlands in 179 major countries in 2018. The results show that the range of global GEP values is USD 112–197 trillion, with an average value of USD 155 trillion (the constant price), and the ratio of GEP to gross domestic product (GDP) is 1.85. The trade-offs and the synergies among different ecosystem services in each continent and income group have been further explored. We found a correspondence between the income levels and the synergy among ecosystem services within each nation. Among specific ecosystem services, there are strong synergies between oxygen release, climate regulation, and carbon sequestration services. A trade-off relationship has been observed between flood regulation and other services, such as water conservation and soil retention services in low-income countries. The results will help clarify the roles and the feedback mechanisms between different stakeholders and provide a scientific basis for optimizing ecosystem management and implementing ecological compensation schemes to enhance human well-being.
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