Simulation and prediction of multi-scenario evolution of ecological space based on FLUS model: A case study of the Yangtze River Economic Belt, China

被引:11
|
作者
Liu, Xiaoqiong [1 ,2 ]
Wang, Xu [3 ]
Chen, Kunlun [1 ,2 ,4 ]
Li, Dan [5 ]
机构
[1] China Univ Geosci, Sch Environm Studies, Wuhan 430074, Peoples R China
[2] China Inst Mountaineering & Outdoor Sports, Wuhan 430074, Peoples R China
[3] China Univ Geosci, Sch Geog & Informat Engn, Wuhan 430074, Peoples R China
[4] China Univ Geosci, Sch Phys Educ, Wuhan 430074, Peoples R China
[5] Guangdong Univ Finance & Econ, Inst Geog & Tourism, Guangzhou 510320, Peoples R China
关键词
ecological space; multi-scenario simulation; prediction; FLUS model; Yangtze River Economic Belt; extensive protection of the Yangtze River; SPATIAL-PATTERN ANALYSIS; URBAN GREEN SPACE; LAND; IDENTIFICATION; PROTECTION; EFFICIENCY; JUSTICE; HEALTH;
D O I
10.1007/s11442-023-2087-9
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Building the Yangtze River Economic Belt (YREB) is one of China's three national development policies in the new era. The ecological environment of the Yangtze River Economic Belt must be protected not only for regional economic development but also for regional ecological security and ecological progress in this region. This paper takes the ecological space of the Yangtze River Economic Belt as the research object, based on land use data in 2010 and 2015, and uses the FLUS model to simulate and predict the ecological space of the research area in 2035. The variation of the research area's ecological space area and its four sub-zones has remarkable stability under diverse situations. Both the production space priority scenarios (S1) and living space priority scenarios (S2) saw a fall in ecological space area, with the former experiencing the highest reduction (a total reduction of 25,212 km(2)). Under the ecological space priority scenarios (S3) and comprehensive space optimization scenario (S4), the ecological space area increased, and the ecological space area expanded even more under the former scenario (a total growth of 23,648 km(2)). In Yunnan-Guizhou, the ecological space is relatively stable, with minimal signs of change. In Sichuan-Chongqing, the Sichuan Basin, Zoige Grassland, and Longmen Mountains were significant regions of area changes in ecological space. In the middle reaches of the Yangtze River, the ecological space changes mainly occur in the Wuyi Mountains, Mufu Mountains, and Dabie Mountains, as well as the surrounding waters of Dongting Lake. The Yangtze River Delta's changes were mainly observed in the eastern Dabie Mountains and Jianghuai Hills.
引用
收藏
页码:373 / 391
页数:19
相关论文
共 50 条
  • [31] Multi-scenario prediction and attribution analysis of carbon storage of ecological system in the Huaihe River Basin, China
    Hua, Hongmei
    Zhang, Xuyang
    Zhou, Yuzhi
    Sun, Jingyu
    Chen, Xiaoyang
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2024, 196 (09)
  • [32] The assessment of forest ecological security and its determining indicators: A case study of the Yangtze River Economic Belt in China
    Lu, Shasha
    Tang, Xu
    Guan, Xingliang
    Qin, Fan
    Liu, Xu
    Zhang, Dahong
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2020, 258
  • [33] Multi-Scenario Prediction of Land-Use Changes and Ecosystem Service Values in the Lhasa River Basin Based on the FLUS-Markov Model
    Qi, Bing
    Yu, Miao
    Li, Yunyuan
    LAND, 2024, 13 (05)
  • [34] Research on Water Ecological Resilience Measurement and Influencing Factors: A Case Study of the Yangtze River Economic Belt, China
    Yang, Li
    Xu, Yue
    Zhu, Junqi
    Sun, Keyu
    SUSTAINABILITY, 2024, 16 (16)
  • [35] Multi-Scenario Prediction of Land Cover Changes and Habitat Quality Based on the FLUS-InVEST Model in Beijing
    Zhu, Xiaoyu
    Wang, Zhongjun
    Gu, Tianci
    Zhang, Yujun
    LAND, 2024, 13 (08)
  • [36] Habitat quality assessment and multi-scenario prediction of the Gansu-Qinghai section of the Yellow River Basin based on the FLUS-InVEST model
    Yang, Jie
    Xie, Baopeng
    Zhang, Degang
    Mak-Mensah, Erastus
    Pei, Tingting
    FRONTIERS IN ECOLOGY AND EVOLUTION, 2023, 11
  • [37] Evolution Characteristics and Driving Mechanism of the Territorial Space Pattern in the Yangtze River Economic Belt, China
    Zhao, Jia
    Zhao, Yuluan
    Yang, Xiaopiao
    LAND, 2022, 11 (09)
  • [38] Ecological Benefit Spillover and Ecological Financial Transfer of Cultivated Land Protection in River Basins: A Case Study of the Yangtze River Economic Belt, China
    Zhang, Junfeng
    Zhang, Anlu
    Song, Min
    SUSTAINABILITY, 2020, 12 (17)
  • [39] Multi-scenario Simulation and Spatial-temporal Analysis of LUCC in China's Coastal Zone Based on Coupled SD-FLUS Model
    Hou, Xiyong
    Song, Baiyuan
    Zhang, Xueying
    Wang, Xiaoli
    Li, Dong
    CHINESE GEOGRAPHICAL SCIENCE, 2024, 34 (04) : 579 - 598
  • [40] Early warning simulation of urban ecological security in the Yangtze River Economic Belt: a case study of Chongqing, Wuhan, and Shanghai
    Ke, Xiaoling
    Mougharbel, Amal
    Guo, Haixiang
    Wang, Deyun
    Wang, Yan
    Min, Feng
    JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT, 2020, 63 (10) : 1811 - 1833