The Classification of Riparian Habitats and Assessment of Fish-Spawning Habitat Suitability: A Case Study of the Three Gorges Reservoir, China

被引:0
|
作者
Mao, Zhihui [1 ,2 ]
Ding, Fang [1 ,2 ]
Yuan, Lilai [1 ,2 ]
Zhang, Yan [3 ]
Ni, Zhaohui [3 ]
Li, Yingren [1 ,2 ]
Wang, Lin [1 ,2 ]
Li, Yunfeng [3 ]
机构
[1] Chinese Acad Fishery Sci, Resource & Environm Res Ctr, Beijing 100141, Peoples R China
[2] Minist Agr & Rural Affairs, Sci Observing & Expt Stn Fishery Remote Sensing, Beijing 100141, Peoples R China
[3] Chinese Acad Fishery Sci, Yangtze River Fisheries Res Inst, Wuhan 430223, Hubei, Peoples R China
关键词
habitat classification; coastal complexity index (CCI); remote sensing; habitat suitability; Three Gorges Reservoir (TGR); YANGTZE-RIVER; INDEX MODEL; OPERATION; DAMS; SELECTION; UPSTREAM; GEZHOUBA;
D O I
10.3390/su151712773
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
After the completion of the Three Gorges Reservoir (TGR), there was a significant and drastic transformation of the original river habitat. These changes led to the loss of the original fish habitat and the emergence of a new habitat. To effectively classify and assess fish-spawning habitats in the TGR, a novel coastal complexity index (CCI) was developed. The CCI was formulated utilizing satellite remote sensing data and considering the river coastal line and river centerline on the river-reach scale. By integrating the CCI with river morphology, five river habitats were identified: the backwater bay, point bar, straight river channel, convex-bank point bar, and concave-bank deep pool. In order to evaluate the suitability of these habitats for sticky-egg-spawning fish, a single-factor habitat suitability curve was constructed using three key habitat factors: the CCI, slope, and vegetation coverage. This process involved the employment of two distinct methods: the habitat utilization method and the habitat preference method. The former only considered the survey data of spawning grounds, while the latter integrated the overall distribution of habitats in the TGR. Subsequently, a habitat suitability index (HSI) was established to assess the overall suitability of the identified habitats for sticky-egg-spawning fish. The results demonstrated a high classification accuracy, with the backwater bay representing the most prevalent habitat type, accounting for 43.31% of the total habitat types. When considering slope and vegetation coverage, the optimal ranges obtained through the two habitat suitability analysis methods were similar. However, for the CCI, there were variations in the optimal ranges obtained using the two methods. The habitat utilization method indicated an optimal interval of 2-4, while the habitat preference method provided an optimal interval of 4-8. Nonetheless, the assessment results for the spawning habitats' suitability using both methods yielded essentially identical outcomes. Specifically, the backwater bay, convex-bank point bar, and concave-bank deep pool habitats exhibited higher suitability for spawning than point bar and straight river channel habitats. Further analysis revealed that approximately 75% of the 230 identified backwater bays were categorized as high-quality or higher-quality spawning habitats. In the time since this research was conducted, its findings have served as a theoretical foundation for the protection of aquatic biological resources and habitats.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] A case study of pillar-shaped rock mass failure in the Three Gorges Reservoir Area, China
    Huang, B.
    Zhang, Z.
    Yin, Y.
    Fei, M.
    QUARTERLY JOURNAL OF ENGINEERING GEOLOGY AND HYDROGEOLOGY, 2016, 49 (03) : 195 - 202
  • [33] Construction of habitat suitability models(HSMs) for benthic macroinvertebrate and their applications to instream environmental flows:A case study in Xiangxi River of Three Gorges Reservior region,China
    Fengqing Li ab Qinghua Caia Xiaocheng Fu ab Jiankang Liu a a State Key Laboratory of Freshwater Ecology and Biotechnology Institute of Hydrobiology Chinese Academy of Sciences Wuhan China b Graduate University of Chinese Academy of Sciences Beijing China
    ProgressinNaturalScience, 2009, 19 (03) : 359 - 367
  • [34] Construction of habitat suitability models (HSMs) for benthic macroinvertebrate and their applications to instream environmental flows: A case study in Xiangxi River of Three Gorges Reservior region, China
    Li, Fengqing
    Cai, Qinghua
    Fu, Xiaocheng
    Liu, Jiankang
    PROGRESS IN NATURAL SCIENCE-MATERIALS INTERNATIONAL, 2009, 19 (03) : 359 - 367
  • [35] Succession of phytoplankton assemblages in response to large-scale reservoir operation: a case study in a tributary of the Three Gorges Reservoir, China
    Yan Xiao
    Zhe Li
    Jinsong Guo
    Fang Fang
    Val H. Smith
    Environmental Monitoring and Assessment, 2016, 188
  • [36] System reliability analysis of landslides subjected to fluctuation of reservoir water level: a case study in the Three Gorges Reservoir area, China
    Liao, Kang
    Wu, Yiping
    Miao, Fasheng
    BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2022, 81 (06)
  • [37] Succession of phytoplankton assemblages in response to large-scale reservoir operation: a case study in a tributary of the Three Gorges Reservoir, China
    Xiao, Yan
    Li, Zhe
    Guo, Jinsong
    Fang, Fang
    Smith, Val H.
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2016, 188 (03) : 1 - 20
  • [38] System reliability analysis of landslides subjected to fluctuation of reservoir water level: a case study in the Three Gorges Reservoir area, China
    Kang Liao
    Yiping Wu
    Fasheng Miao
    Bulletin of Engineering Geology and the Environment, 2022, 81
  • [39] Quantitative risk assessment of slow-moving landslides from the viewpoint of decision-making: A case study of the Three Gorges Reservoir in China
    Guo, Zizheng
    Chen, Lixia
    Yin, Kunlong
    Shrestha, Dhruba Pikha
    Zhang, Liang
    ENGINEERING GEOLOGY, 2020, 273
  • [40] Probabilistic forecasting of landslide displacement accounting for epistemic uncertainty: a case study in the Three Gorges Reservoir area, China
    Ma, Junwei
    Tang, Huiming
    Liu, Xiao
    Wen, Tao
    Zhang, Junrong
    Tan, Qinwen
    Fan, Zhiqiang
    LANDSLIDES, 2018, 15 (06) : 1145 - 1153