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基于西安市土地利用变化的生态系统服务价值时空演变研究

Study on the spatial and temporal evolution of ecosystem service value based on land use change in Xi'an City.

作者信息

Han Lei, Li Yan, Ge Zhemin, Fang Fang, Gao Lan, Zhang Jin, Du Zhen, Cui Liping

机构信息

Xi'an Eurasia University, Xi'an, 710065, China.

The Second Monitoring and Application Center, China Earthquake Administration, Xi'an, 710054, China.

出版信息

Sci Rep. 2025 Jan 2;15(1):66. doi: 10.1038/s41598-024-83257-y.

DOI:10.1038/s41598-024-83257-y
PMID:39747291
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11696547/
Abstract

Ecosystem service value (ESV) is essential for understanding regional ecological benefits and resources. This study utilizes the fourth phase of land use data from the Resource and Environment Science Data Centre of the Chinese Academy of Sciences. We corrected the ESV coefficient using the equivalent factor method for value per unit area and integrated the biomass factor of farmland ecosystems in Shaanxi Province. This allowed us to adjust the equivalent factor for China's terrestrial ecosystem on a geographic scale. Based on these corrections, we analyzed changes in land use and the evolution of ecosystem service value over the past two decades in Xi'an, China. Our findings indicate that the proportions of cultivated and forest land in Xi'an remained stable from 2000 to 2020, despite an increase in construction land and a decrease in cultivated areas. Forest and unused lands remained stable, while grassland and water bodies fluctuated. The ESV related to land use in Xi'an increased by 938.8 million yuan during this period, with high-value areas primarily located in the forested regions south of the Qinling Mountains and along the Weihe, Bahe, and Chanhe Rivers. Low-value zones were concentrated in the urban core. This research enhances methodologies for quantifying urban ESV, providing vital support for land resource management, ecological conservation, and high-quality urban development in major cities in China. These findings will inform policy-making for sustainable urban growth.

摘要

生态系统服务价值(ESV)对于理解区域生态效益和资源至关重要。本研究利用了中国科学院资源与环境科学数据中心的第四期土地利用数据。我们采用当量因子法对单位面积价值的ESV系数进行了修正,并整合了陕西省农田生态系统的生物量因子。这使我们能够在地理尺度上调整中国陆地生态系统的当量因子。基于这些修正,我们分析了中国西安过去二十年土地利用变化和生态系统服务价值的演变。我们的研究结果表明,从2000年到2020年,西安的耕地和林地比例保持稳定,尽管建设用地增加,耕地面积减少。森林和未利用土地保持稳定,而草地和水体则有波动。在此期间,西安与土地利用相关的ESV增加了9.388亿元,高价值区域主要位于秦岭以南的森林地区以及渭河、灞河和浐河沿岸。低价值区域集中在城市核心区。本研究改进了量化城市ESV的方法,为中国主要城市的土地资源管理、生态保护和高质量城市发展提供了重要支持。这些研究结果将为可持续城市增长的政策制定提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b38/11696547/61475c505306/41598_2024_83257_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b38/11696547/7c089d5c93fb/41598_2024_83257_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b38/11696547/2a8913b5dc0c/41598_2024_83257_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b38/11696547/9e36adefc15d/41598_2024_83257_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b38/11696547/2b9e3d37dcd8/41598_2024_83257_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b38/11696547/f4eb84da72ac/41598_2024_83257_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b38/11696547/61475c505306/41598_2024_83257_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b38/11696547/7c089d5c93fb/41598_2024_83257_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b38/11696547/2a8913b5dc0c/41598_2024_83257_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b38/11696547/9e36adefc15d/41598_2024_83257_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b38/11696547/2b9e3d37dcd8/41598_2024_83257_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b38/11696547/f4eb84da72ac/41598_2024_83257_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b38/11696547/61475c505306/41598_2024_83257_Fig8_HTML.jpg

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