Spatial covariance of ecosystem services and poverty in China

F. Eigenbrod, Zhiyao Tang, S. Eisner, M. Flörke, Guanghua Zhao
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引用次数: 6

Abstract

ABSTRACT Ecosystem services (ESs) are known to be particularly important to the rural poor globally and effective management of such services is argued to be a sustainable pathway out of poverty. However, there is as yet no clear evidence as to how important ESs are for poverty alleviation, partly as there are very few large-scale studies addressing this issue. Here, we examine patterns of spatial covariation of income poverty and provisioning services and biodiversity using county-level data across China (n = 1924). We conduct our analyses both at the national scale and at the subnational scale. At the national scale, poor counties have significantly lower levels of agricultural provisioning services and water availability, but significantly higher levels of forest-related provisioning services and biodiversity. This finding supports the hypothesis that in general, high levels of poverty co-occur with areas with high levels of non-agricultural ESs. However, in the forest-dominated counties in southern China, low poverty, high densities of forest-related provisioning services and high levels of natural forest cover co-occur. Our results highlight the scale and context dependency of patterns of co-occurrence of poverty and ESs, and the importance of large-scale analyses for understanding the relationships between poverty and ESs. EDITED BY Berta Martín-López
中国生态系统服务与贫困的空间协方差
众所周知,生态系统服务(ESs)对全球农村贫困人口尤为重要,对此类服务的有效管理被认为是摆脱贫困的可持续途径。然而,目前还没有明确的证据表明ESs对减轻贫困有多重要,部分原因是针对这一问题的大规模研究很少。在此,我们利用中国的县级数据(n = 1924)研究了收入贫困、供给服务和生物多样性的空间协变模式。我们在全国范围和次国家范围内进行分析。在全国范围内,贫困县的农业供应服务和水资源供应水平明显较低,但与森林有关的供应服务和生物多样性水平明显较高。这一发现支持了一种假设,即一般来说,高度贫困与非农业ESs水平高的地区同时发生。然而,在中国南方以森林为主的县,低贫困、高密度的森林相关供给服务和高水平的自然森林覆盖同时出现。我们的研究结果强调了贫困和社会环境共同发生模式的规模和情境依赖性,以及大规模分析对理解贫困和社会环境之间关系的重要性。Berta编辑Martín-López
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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