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多情景下石家庄市土地利用变化模拟及生态系统服务价值空间分析。

Land use change simulation and spatial analysis of ecosystem service value in Shijiazhuang under multi-scenarios.

机构信息

School of Public Administration, Hebei University of Economics and Business, Shijiazhuang, 050061, China.

Geographic Information Big Data Platform of Hebei University of Economics and Business, Shijiazhuang, 050061, China.

出版信息

Environ Sci Pollut Res Int. 2021 Jun;28(24):31043-31058. doi: 10.1007/s11356-021-12826-9. Epub 2021 Feb 17.

Abstract

Simulating changes in the value of ecosystem services caused by land use changes in large cities under multiple scenarios is of great significance for cities to formulate land use policies and improve ecosystem services. Take Shijiazhuang, which is in the process of rapid urbanization, as an example. Based on the remote sensing image data and statistical yearbook of 1988, 1998, 2008, and 2018 as the basic data to analyze and estimate the 30 years of land use and ecosystem service value changes in Shijiazhuang. According to this, the CA-Markov model was used to simulate the land use change in Shijiazhuang under three scenarios in 2030 and estimate the value of ecosystem services under each scenario, using grid tools to visually express the spatial distribution of ecosystem service values and the degree of agglomeration under three scenarios. The results indicate that the most obvious feature of land use change in Shijiazhuang from 1988 to 2018 was that the farmland area decreased year by year, the built-up expanded rapidly, the farmland area decreased by 86,874.75 hm in 30 years, and the built-up increased by 154,711.90 hm. In 1988, 1998, 2008, and 2018, the ecosystem service value of Shijiazhuang was 32.578 billion yuan, 32.799 billion yuan, 29.944 billion yuan, and 31.251 billion yuan respectively. In 2030, under three scenarios of natural development, farmland protection, and ecological protection, the value of ecosystem services is 331.111 billion yuan, 33.670 billion yuan, and 33.891 billion yuan in order. The hot spots are mainly concentrated in the northwest and southwest of Shijiazhuang, and cold spots are concentrated in the eastern cities, counties, and districts. Based on changes in land use brought about by urban expansion, simulating the value of ecosystem services under multiple scenarios in the future, providing scientific guidance for building urban ecological networks, and realizing sustainable urban ecological development.

摘要

模拟大城市在多种情景下土地利用变化引起的生态系统服务价值变化,对于城市制定土地利用政策和提高生态系统服务水平具有重要意义。以处于快速城市化进程中的石家庄市为例,基于 1988 年、1998 年、2008 年和 2018 年遥感影像数据和统计年鉴,分析和估算了石家庄市 30 年来土地利用和生态系统服务价值变化。在此基础上,采用 CA-Markov 模型模拟了 2030 年石家庄市在三种情景下的土地利用变化,并估算了各情景下的生态系统服务价值,利用网格工具直观表达了三种情景下生态系统服务价值的空间分布和集聚程度。结果表明,1988 年至 2018 年石家庄市土地利用变化最明显的特征是耕地面积逐年减少,建设用地快速扩张,30 年间耕地面积减少了 86874.75hm2,建设用地增加了 154711.90hm2。1988 年、1998 年、2008 年和 2018 年石家庄市生态系统服务价值分别为 325.78 亿元、327.99 亿元、29.944 亿元和 31.251 亿元。2030 年,在自然发展、耕地保护和生态保护三种情景下,石家庄市生态系统服务价值分别为 331.111 亿元、33.670 亿元和 33.891 亿元。热点主要集中在石家庄市的西北部和西南部,冷点主要集中在东部城区、县、区。基于城市扩张带来的土地利用变化,模拟未来多种情景下的生态系统服务价值,为构建城市生态网络提供科学指导,实现城市生态的可持续发展。

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