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Spatial covariance of ecosystem services and poverty in China

机译:中国生态系统服务与贫困的空间协方差

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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.
机译:众所周知,生态系统服务对全球农村贫困人口特别重要,有效管理此类服务被认为是摆脱贫困的可持续途径。但是,尚无明确证据表明环境,社会和环境对缓解贫困有多重要,部分原因是针对这一问题的大规模研究很少。在这里,我们使用全国各地的县级数据来检验收入贫困,供给服务和生物多样性的空间协变模式(n = 1924)。我们在国家层面和国家以下层面进行分析。在全国范围内,贫困县的农业供应服务和水供应水平明显较低,而与森林有关的供应服务和生物多样性水平则明显较高。这一发现支持以下假设:总体上,高度贫困与非农业ES较高的地区同时发生。但是,在中国南方以森林为主的县中,同时出现了贫困低,与森林有关的提供服务的高密度和高水平的天然林覆盖率。我们的结果强调了贫困与ESs共存模式的规模和环境依赖性,以及大规模分析对于理解贫困与ESs之间关系的重要性。

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