Ecosystem services-human wellbeing relationships vary with spatial scales and indicators: The case of China

供应 比例(比率) 生态系统服务 约束(计算机辅助设计) 质量(理念) 地理 计量经济学 环境资源管理 生态系统 生态学 数学 经济 计算机科学 地图学 生物 电信 哲学 几何学 认识论
作者
Lumeng Liu,Jianguo Wu
出处
期刊:Resources Conservation and Recycling [Elsevier]
卷期号:172: 105662-105662 被引量:64
标识
DOI:10.1016/j.resconrec.2021.105662
摘要

Ecosystem services (ES) are essential for sustaining human wellbeing (HWB), but empirical studies have shown that the ES-HWB relationship can be positive, negative, or nonexistent. Reconciling these seemingly conflicting results requires better understanding how the ES-HWB relationship varies with scales and indicators. Here we systematically analyzed the ES-HWB relationship between six ES and ten HWB measures in China on three spatial scales (i.e., provincial, prefectural and county scales), using both simple regression and constraint line analyses. Three major results emerged from our analysis: (1) social/economic wellbeing (e.g., HDI and Life Expectancy) were generally positively correlated with provisioning and cultural services at the provincial scale, but the correlative relationships changed to constraint relationships at the prefectural and county scales, suggesting that these services influenced the mean values of HWB on the provincial scale but only the maximum and minimum values of HWB on finer scales; (2) environmental wellbeing (Water Quality and Air Quality) had consistent correlative or constraint relationships with ES across scales – negative correlations with provisioning ES and positive constraint relationships with regulating ES; and (3) socioeconomic wellbeing had no relationships with regulating ES on any scale. The detected scale- and indicator-dependent patterns of the ES-HWB relationship can help better understand the ES-HWB relationship in general and the so-called “Environmentalist's Paradox” in particular. It indicates that a hierarchical, multiscale approach is necessary to study and improve the ES-HWB relationship. For managing ES to improve HWB, for instance, simply extrapolating policies across administrative levels may lead to unintended outcomes.
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