Ecological risks linked with ecosystem services in the upper reach of the Yellow River under global changes

被引:0
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作者
Ruowei Li [1 ,2 ]
Jian Sun [1 ,2 ]
Guodong Han [2 ]
Zixuan Qi [3 ]
Yunhui Li [1 ]
Junhe Chen [1 ]
Wen He [4 ]
Mengqi Zhang [1 ]
Chaowei Han [5 ]
Jieji Duo [1 ,6 ]
机构
[1] State Key Laboratory of Tibetan Plateau Earth System Science (LATPES), Institute of Tibetan Plateau Research, Chinese Academy of Sciences
[2] Key Laboratory of Grassland Resources of the Ministry of Education, College of Grassland, Resources and Environment, Inner Mongolia Agricultural University
[3] Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology
[4] Institute for Disaster Management and Reconstruction, Sichuan University–The Hong Kong Polytechnic University
[5] Institute of Grassland Research, Chinese Academy of Agricultural Sciences
[6] Haixi Forest Pest Control and Quarantine
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X171.1 [生态系统与生态环境];
学科分类号
摘要
There is growing interest in introducing ecological risks(ERs) and ecosystem services(ESs) into environmental policies and practices. However, the integration of ESs and ERs into actual decision-making remains insufficient.We simulated the spatiotemporal dynamics of ESs(e.g., carbon storage, water yield, habitat quality, and soil conservation) and ERs in the upper reach of the Yellow River(URYR) from 2000 to 2100. Additionally, we explored their relationships by combining the InVEST model and a landscape ecological risk model with CMIP6 data. Our main findings showed that regional ERs change in response to land use and environmental dynamics. Specifically,the ER area decreased by 27,673 m2 during 2000–2020, but it is projected to increase by 13,273, 438, and 68 m2under the SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios, respectively. We also observed remarkable spatial differences in ESs and ERs between past and future scenarios. For instance, the source area of the URYR exhibited high ESs and low ERs(P<0.001), while the ESs and ERs are declining and increasing, respectively, in the northeastern URYR(P<0.05). Finally, we proposed a spatial optimization framework to improve ESs and reduce ERs, which will support regional sustainable development.
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页码:966 / 983
页数:18
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