Optimization of landscape pattern in China Luojiang Xiaoxi basin based on landscape ecological risk assessment

被引:46
|
作者
Li, Shaokun [1 ]
He, Wenxi [1 ]
Wang, Lei [1 ]
Zhang, Zhi [3 ]
Chen, Xiaoqian [4 ]
Lei, Tianci [1 ]
Wang, Shaojun [2 ]
Wang, Zhuangzhuang [3 ]
机构
[1] China Geol Survey, Wuhan Ctr, Wuhan 430205, Peoples R China
[2] China Univ Geosci, Res Ctr Spatial Planning & Human Environm Syst Sim, Sch Geog & Informat Engn, Wuhan 430074, Peoples R China
[3] China Univ Geosci, Inst Geophys & Geomat, Wuhan 430074, Peoples R China
[4] Changjiang Space Informat Technol Engn Co Ltd, Wuhan 430010, Peoples R China
关键词
Landscape ecological risk assessment; Landscape pattern optimization; Spatial principal component analysis; Minimum cumulative resistance model; Luojiang Xiaoxi Basin;
D O I
10.1016/j.ecolind.2023.109887
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Multi-source ecological risks have induced many ecological pollution problems that cannot be ignored and seriously threaten regional ecological security. Constructing and optimizing the landscape pattern is beneficial to improve watershed ecosystem services. In this study, an innovative method is proposed to construct and optimize the landscape pattern, which takes Luojiang-Small Creek watershed as an example. 10-meter high-precision raster elements are selected as the basic unit for landscape ecological risk evaluation, and 20 evaluation factors are selected from three dimensions of "natural environment-human society-landscape pattern" to establish the evaluation index system. The spatial principal component-redundancy analysis (SPCA-RDA) was used to comprehensively evaluate the landscape ecological risk in 2019, and the minimum cumulative resistance model (MCR) and gravity model were used to optimize the landscape pattern of the watershed. The results show (1) Human social and landscape pattern factors have a more significant influence on the integrated ecological risk, while natural factors, except for soil type and vegetation cover, have a weaker influence on the integrated ecological risk. (2) The overall landscape ecological risk is low, and the area of the mild landscape ecological risk zone is 259.89 km2, accounting for 81.68 % of the study area. According to the MCR model and gravity model, forest land with an area larger than 1 km2 and water bodies and grassland with an area larger than 0.01 km2 were identified as ecological source sites. (3) 17 potential ecological corridors were constructed, including 4 road-type corridors, 9 green belt-type corridors and 4 river-type corridors, with a total length of 68.72 km, and 22 potential ecological nodes were identified, including 8 A-type ecological nodes and 14 B-type ecological nodes. A comprehensive three-dimensional spatial ecological network of "ecological nodes-ecological corridors-ecological zones" was constructed, and the optimization effect of the landscape pattern in the study area was evaluated, and it was found that the optimized landscape pattern had significantly improved in terms of connectivity. The results of the study provide ecological protection and planning guidance for future risk prevention and control and landscape pattern optimization of the area with watershed as a unit.
引用
收藏
页数:17
相关论文
共 50 条
  • [31] Landscape perspectives on ecological risk assessment
    Richards, C
    Johnson, LB
    RISK ASSESSMENT: LOGIC AND MEASUREMENT, 1998, : 255 - 274
  • [32] Land Use Change and Landscape Ecological Risk Assessment Based on Terrain Gradients in Yuanmou Basin
    Zhao, Lei
    Shi, Zhengtao
    He, Guangxiong
    He, Li
    Xi, Wenfei
    Jiang, Qin
    LAND, 2023, 12 (09)
  • [33] Analysis of landscape pattern and ecological risk change characteristics in Bosten Lake basin based on optimal scale
    Yaermaimaiti, Adila
    Li, Xinguo
    Ge, Xiangyu
    Liu, Changjiang
    ECOLOGICAL INDICATORS, 2024, 163
  • [34] Landscape pattern identification and ecological risk assessment using land-use change in the Yellow River Basin
    Liu X.
    Li X.
    Jiang D.
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2021, 37 (04): : 265 - 274
  • [35] Ecological Risk Assessment and Prediction Based on Scale Optimization-A Case Study of Nanning, a Landscape Garden City in China
    Chen, Jianjun
    Yang, Yanping
    Feng, Zihao
    Huang, Renjie
    Zhou, Guoqing
    You, Haotian
    Han, Xiaowen
    REMOTE SENSING, 2023, 15 (05)
  • [36] Construction of Nature Reserves' Ecological Security Pattern Based on Landscape Ecological Risk Assessment: A Case Study of Garze Tibetan Autonomous Prefecture, China
    Ju, Lingfan
    Liu, Yan
    Yang, Jin
    Xiang, Mingshun
    Xiang, Qing
    Hu, Wenkai
    Ding, Zhengyi
    SUSTAINABILITY, 2023, 15 (11)
  • [37] Landscape ecological risk assessment and driving factor analysis in southwest china
    Chen, Hui
    Chen, Hongxing
    Huang, Xiaoyun
    Zhang, Song
    He, Tengbing
    Gao, Zhenran
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [38] Landscape ecological risk assessment of Yulin Region in Shaanxi Province of China
    Bin Xu
    Kai Ji
    Bin Qi
    Yucong Tao
    Xiaohui Qi
    Yan Zhang
    Yan Liu
    Environmental Earth Sciences, 2022, 81
  • [39] Landscape ecological risk assessment of Yulin Region in Shaanxi Province of China
    Xu, Bin
    Ji, Kai
    Qi, Bin
    Tao, Yucong
    Qi, Xiaohui
    Zhang, Yan
    Liu, Yan
    ENVIRONMENTAL EARTH SCIENCES, 2022, 81 (21)
  • [40] Landscape Ecological Risk Assessment and Analysis of Influencing Factors in Selenga River Basin
    Li, Wangping
    Lin, Qingrun
    Hao, Junming
    Wu, Xiaodong
    Zhou, Zhaoye
    Lou, Peiqing
    Liu, Yadong
    REMOTE SENSING, 2023, 15 (17)