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基于修正等效系数的流域尺度生态系统服务价值估算:以中国黄河流域(河南段)为例。

Estimation of Ecosystem Services Value at a Basin Scale Based on Modified Equivalent Coefficient: A Case Study of the Yellow River Basin (Henan Section), China.

机构信息

School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China.

Research Centre of Arable Land Protection and Urban-Rural High-Quality Development of Yellow River Basin, Henan Polytechnic University, Jiaozuo 454000, China.

出版信息

Int J Environ Res Public Health. 2022 Dec 11;19(24):16648. doi: 10.3390/ijerph192416648.

DOI:10.3390/ijerph192416648
PMID:36554528
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9779297/
Abstract

The value of ecosystem services is an extremely important parameter that reflects regional ecological benefits and resources. Estimating the value of ecosystem services is essential for regional land-use optimization, ecological construction, and biodiversity protection. In this study, Landsat-TM/ETM remote sensing images were used to analyze land-use data in 1990, 2000, 2010, and 2020 of the Yellow River Basin (Henan section), China, defined by natural boundaries. An equivalent factor method was used to construct a model to calculate the ecosystem services value that introduced grain yield, regional difference coefficient, and social development stage coefficient. Thus, land-use changes and evolution of ecosystem services values in the Yellow River Basin (Henan section) in the past 30 years were analyzed. Land use in the basin changed significantly from 1990 to 2020. Except for an increase in area of construction land, areas of other land-use types decreased. Cultivated land area first increased and then decreased, whereas the water area first decreased and then increased. The total value of ecosystem services in the study area fluctuated but increased overall by 43.82 × 10 USD in the past 30 years. Spatially, the total value of ecosystem services was high in the southwest and low in the northeast. Among individual ecosystem service values, water conservation, gas regulation, and climate regulation accounted for a relatively high proportion of the total value. Regulation services were the main ecosystem service functions, followed by support and supply services, with cultural services accounting for the lowest proportion. Sensitivity coefficients of different land types in different periods were all less than one. Therefore, the value coefficients were reasonable, and the results were consistent with the actual situation of the study area. The study improves the method to estimate the ecosystem services value of the basin and also indicates ways to support ecological protection of the Yellow River Basin (Henan section), China.

摘要

生态系统服务价值是反映区域生态效益和资源的重要参数。估算生态系统服务价值对于区域土地利用优化、生态建设和生物多样性保护至关重要。本研究利用 Landsat-TM/ETM 遥感影像,以自然边界界定的中国黄河流域(河南段)1990 年、2000 年、2010 年和 2020 年的土地利用数据,采用当量因子法构建模型,引入粮食产量、区域差异系数和社会发展阶段系数,计算生态系统服务价值。分析了过去 30 年来黄河流域(河南段)土地利用变化和生态系统服务价值演变。1990 年至 2020 年,流域土地利用发生显著变化。除建设用地面积增加外,其他土地利用类型面积均减少。耕地面积先增加后减少,而水域面积先减少后增加。研究区生态系统服务总价值呈波动上升趋势,30 年来增长了 43.82×10^8 美元。空间上,生态系统服务总价值西南高东北低。在各单项生态系统服务价值中,水源涵养、气体调节和气候调节在总价值中占比较高。调节服务是主要的生态系统服务功能,其次是支撑和供给服务,文化服务占比最低。不同时期不同土地类型的敏感性系数均小于 1,说明价值系数合理,结果与研究区实际情况一致。本研究改进了流域生态系统服务价值估算方法,为黄河流域(河南段)生态保护提供了支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/429b/9779297/311163c25c3a/ijerph-19-16648-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/429b/9779297/d55140a89f36/ijerph-19-16648-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/429b/9779297/d39845c30dce/ijerph-19-16648-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/429b/9779297/6f29b2cb6771/ijerph-19-16648-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/429b/9779297/2bb28e362764/ijerph-19-16648-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/429b/9779297/1452ec403069/ijerph-19-16648-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/429b/9779297/42a20096fa39/ijerph-19-16648-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/429b/9779297/9d1d0066aa46/ijerph-19-16648-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/429b/9779297/be6e28bf4f13/ijerph-19-16648-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/429b/9779297/273f6f9255b8/ijerph-19-16648-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/429b/9779297/42a236a9b880/ijerph-19-16648-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/429b/9779297/311163c25c3a/ijerph-19-16648-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/429b/9779297/d55140a89f36/ijerph-19-16648-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/429b/9779297/d39845c30dce/ijerph-19-16648-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/429b/9779297/6f29b2cb6771/ijerph-19-16648-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/429b/9779297/2bb28e362764/ijerph-19-16648-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/429b/9779297/1452ec403069/ijerph-19-16648-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/429b/9779297/42a20096fa39/ijerph-19-16648-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/429b/9779297/9d1d0066aa46/ijerph-19-16648-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/429b/9779297/be6e28bf4f13/ijerph-19-16648-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/429b/9779297/273f6f9255b8/ijerph-19-16648-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/429b/9779297/42a236a9b880/ijerph-19-16648-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/429b/9779297/311163c25c3a/ijerph-19-16648-g011.jpg

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