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青藏高原青海湖地区土地利用与土地覆盖变化及其对生态系统服务的影响

Land Use and Land Cover Change in the Qinghai Lake Region of the Tibetan Plateau and Its Impact on Ecosystem Services.

作者信息

Gong Jian, Li Jingye, Yang Jianxin, Li Shicheng, Tang Wenwu

机构信息

Department of Land Resource Management, School of Public Administration, China University of Geosciences (Wuhan), 388 Lumo Road, Hongshan District, Wuhan 430074, Hubei, China.

Key Labs of Law Evaluation of Ministry of Land and Resources of China, 388 Lumo Road, Hongshan District, Wuhan 430074, Hubei, China.

出版信息

Int J Environ Res Public Health. 2017 Jul 21;14(7):818. doi: 10.3390/ijerph14070818.

DOI:10.3390/ijerph14070818
PMID:28754029
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5551256/
Abstract

Exploration of land use and land cover change (LULCC) and its impacts on ecosystem services in Tibetan plateau is valuable for landscape and environmental conservation. In this study, we conduct spatial analysis on empirical land use and land cover data in the Qinghai Lake region for 1990, 2000, and 2010 and simulate land cover patterns for 2020. We then evaluate the impacts of LULCC on ecosystem service value (ESV), and analyze the sensitivity of ESV to LULCC to identify the ecologically sensitive area. Our results indicate that, from 1990 to 2010, the area of forest and grassland increased while the area of unused land decreased. Simulation results suggest that the area of grassland and forest will continue to increase and the area of cropland and unused land will decrease for 2010-2020. The ESV in the study area increased from 694.50 billion Yuan in 1990 to 714.28 billion Yuan in 2000, and to 696.72 billion Yuan in 2020. Hydrology regulation and waste treatment are the top two ecosystem services in this region. The towns surrounding the Qinghai Lake have high ESVs, especially in the north of the Qinghai Lake. The towns with high ESV sensitivity to LULCC are located in the northwest, while the towns in the north of the Qinghai Lake experienced substantial increase in sensitivity index from 2000-2010 to 2010-2020, especially for three regulation services and aesthetic landscape provision services.

摘要

探索青藏高原土地利用和土地覆盖变化(LULCC)及其对生态系统服务的影响,对于景观和环境保护具有重要价值。在本研究中,我们对1990年、2000年和2010年青海湖地区的实际土地利用和土地覆盖数据进行了空间分析,并模拟了2020年的土地覆盖格局。然后,我们评估了LULCC对生态系统服务价值(ESV)的影响,并分析了ESV对LULCC的敏感性,以确定生态敏感区域。我们的结果表明,从1990年到2010年,森林和草地面积增加,未利用土地面积减少。模拟结果表明,2010 - 2020年草地和森林面积将继续增加,耕地和未利用土地面积将减少。研究区域的ESV从1990年的6945.00亿元增加到2000年的7142.80亿元,2020年为6967.20亿元。水文调节和废物处理是该地区最重要的两项生态系统服务。青海湖周边城镇的ESV较高,尤其是青海湖以北地区。对LULCC敏感的ESV较高的城镇位于西北部,而青海湖以北的城镇在2000 - 2010年至2010 - 2020年期间敏感性指数大幅增加,特别是对于三项调节服务和美学景观提供服务。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f26b/5551256/728e07067ae8/ijerph-14-00818-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f26b/5551256/1da1e47bed6a/ijerph-14-00818-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f26b/5551256/fcea0bfb504f/ijerph-14-00818-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f26b/5551256/9765c2abcf06/ijerph-14-00818-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f26b/5551256/202f88966cf0/ijerph-14-00818-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f26b/5551256/8d6908b0e4e3/ijerph-14-00818-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f26b/5551256/a11201ac3ce5/ijerph-14-00818-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f26b/5551256/2085b5a85822/ijerph-14-00818-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f26b/5551256/066bc165c5e4/ijerph-14-00818-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f26b/5551256/31c2d1fbc3ab/ijerph-14-00818-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f26b/5551256/5bc9377178f0/ijerph-14-00818-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f26b/5551256/728e07067ae8/ijerph-14-00818-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f26b/5551256/1da1e47bed6a/ijerph-14-00818-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f26b/5551256/fcea0bfb504f/ijerph-14-00818-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f26b/5551256/9765c2abcf06/ijerph-14-00818-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f26b/5551256/202f88966cf0/ijerph-14-00818-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f26b/5551256/8d6908b0e4e3/ijerph-14-00818-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f26b/5551256/a11201ac3ce5/ijerph-14-00818-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f26b/5551256/2085b5a85822/ijerph-14-00818-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f26b/5551256/066bc165c5e4/ijerph-14-00818-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f26b/5551256/31c2d1fbc3ab/ijerph-14-00818-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f26b/5551256/5bc9377178f0/ijerph-14-00818-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f26b/5551256/728e07067ae8/ijerph-14-00818-g011.jpg

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