中文关键词谷歌地球引擎(GEE)生态系统服务价值(ESV)土地利用变化格网尺度Landsat TM/OLI 英文关键词google earth engine(GEE)ecosystem service value(ESV)land use changegrid scaleLandsat TM/OLI

作者	单位	E-mail
娄佩卿	桂林理工大学测绘地理信息学院, 广西空间信息与测绘重点实验室, 桂林 541006	gislou@126.com
付波霖	桂林理工大学测绘地理信息学院, 广西空间信息与测绘重点实验室, 桂林 541006	fbl2012@126.com
林星辰	桂林理工大学测绘地理信息学院, 广西空间信息与测绘重点实验室, 桂林 541006
闭璐	桂林理工大学测绘地理信息学院, 广西空间信息与测绘重点实验室, 桂林 541006
马瑞雪	桂林理工大学测绘地理信息学院, 广西空间信息与测绘重点实验室, 桂林 541006
唐廷元	桂林理工大学测绘地理信息学院, 广西空间信息与测绘重点实验室, 桂林 541006

中文摘要 在京津冀地区可持续发展评估研究中，对生态系统服务价值进行动态估算具有重要意义.本文以京津冀地区为研究区，基于谷歌地球引擎（GEE）云平台采用分类决策树（CART）分类算法对研究区内1998、2003、2008、2013及2018年的Landsat TM/OLI影像进行监督分类得到5个时期土地利用数据并定量分析1998~2018年京津冀地区土地利用动态变化规律，再利用生态服务价值（ESV）当量估算方法定量估算京津冀地区的ESV并结合15 km×15 km尺度格网探明其时空动态变化.结果表明：① 1998~2018年间，京津冀地区6种土地利用类型中建设用地（增加16.67%）及草地（减少13.73%）面积占比变化幅度最大，水体（减少0.2%）面积占比变化幅度最小.②京津冀地区ESV总价值在1998~2003年间出现短暂增长（增加91.97亿元），2003~2018年间持续降低（减少239.07亿元），主要与建设用地面积在除1998~2003年的其余3个时间段扩张较快有关，6种土地利用类型中林地提供的ESV最高，建设用地及未利用土地提供的ESV最低.③基于15 km×15 km尺度格网的ESV时空分析表明，1998~2018年间京津冀地区ESV中等区逐渐较少，ESV较低区及较高区逐渐增加，且ESV较低区增速高于较高区.④1998~2018年间，京津冀地区6种土地利用类型对价值系数的敏感性系数（SI）范围为0~0.40，且均低于1，表明本文ESV对修订后的生态系统服务价值系数缺乏弹性，证明本文定量估算ESV的结果是可靠的.在未来经济发展中，京津冀地区应合理优化土地利用格局，加强对林地、草地、水体及耕地的保护.研究可为制定可持续发展战略，建设生态友好型社会提供参考. 英文摘要 In sustainable development assessment of the Beijing-Tianjin-Hebei region, the ability to dynamically estimate the value of ecosystem services is of great significance. This study considers the Beijing-Tianjin-Hebei region as the research area, based on the google earth engine (GEE); the classification and decision tree (CART) classification algorithm was adopted to supervise and classify the Landsat Thematic Mapper/Operational Land Imager (TM/OLI) images in the study area in 1998, 2003, 2008, 2013, and 2018, and land use types in these five periods were obtained. Quantitative analysis of the dynamic changes of land use in the Beijing-Tianjin-Hebei region from 1998 to 2018 was carried out. Then, the ecosystem service value (ESV) equivalent estimation method was used to quantitatively estimate the ESV in the Beijing-Tianjin-Hebei region and combine it with a 15 km×15 km scale grid to detect its temporal and spatial dynamics. The main results were as follows. ① From 1998 to 2018, the area of construction land (increased by 16.67%) and grassland (reduced by 13.73%) in the six land use types in the Beijing-Tianjin-Hebei region was the largest, and the change in the proportion of water bodies (0.2%) was the smallest. ② The total value of ESV in the Beijing-Tianjin-Hebei region experienced a short-term increase from 1998 to 2003 (an increase of 91.97×10⁸ yuan), and continued to decrease from 2003 to 2018 (a decrease of 239.07×10⁸ yuan), mainly related to the expansion of construction land area in the other three time periods excluding 1998 and 2003. Among the six land use types, the forest provides the highest value of ecosystem services, and the construction land and unused land provide the lowest value of ecosystem services. ③ The ESV time-space analysis based on the 15 km×15 km scale grid showed that the ESV medium area in the Beijing-Tianjin-Hebei region gradually decreased from 1998 to 2018, the ESV lower area and the higher area gradually increased, and the ESV lower-area growth rate was higher than for the higher area. ④ The revised value of the Beijing-Tianjin-Hebei region (sensitivity coefficient range 0-0.83) has good significance and reliability. In future economic development, the Beijing-Tianjin-Hebei region should rationally optimize the land use pattern and strengthen the protection of forest land, grassland, water bodies and cultivated land.

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