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 60 条
  • [21] A Regional Assessment of Windbreak Habitat Suitability
    George R. Hess
    Jeff M. Bay
    [J]. Environmental Monitoring and Assessment, 2000, 61 (2) : 239 - 256
  • [22] Water mass interaction in the confluence zone of the Daning River and the Yangtze River-a driving force for algal growth in the Three Gorges Reservoir
    Holbach, Andreas
    Wang, Lijing
    Chen, Hao
    Hu, Wei
    Schleicher, Nina
    Zheng, Binghui
    Norra, Stefan
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2013, 20 (10) : 7027 - 7037
  • [23] Spatial Distribution Analysis of Landslide Deformations and Land-Use Changes in the Three Gorges Reservoir Area by Using Interferometric and Polarimetric SAR
    Hu, Jun
    Yu, Yana
    Gui, Rong
    Zheng, Wanji
    Guo, Aoqing
    [J]. REMOTE SENSING, 2023, 15 (09)
  • [24] Balancing social, economic and ecological benefits of reservoir operation during the flood season: A case study of the Three Gorges Project, China
    Huang, Lei
    Li, Xiang
    Fang, Hongwei
    Yin, Dongqin
    Si, Yuan
    Wei, Jiahua
    Liu, Jiahong
    Hu, Xiaoyong
    Zhang, Li
    [J]. JOURNAL OF HYDROLOGY, 2019, 572 : 422 - 434
  • [25] Evidence of lake trout (Salvelinus namaycush) spawning and spawning habitat use in the Dog River, Lake Superior
    Jones, Nicholas E.
    Parna, Michael
    Parna, Sarah
    Chong, Steve
    [J]. JOURNAL OF GREAT LAKES RESEARCH, 2018, 44 (05) : 1117 - 1122
  • [26] Dominant Fish and Macroinvertebrate Response to Flow Changes of the Geum River in Korea
    Kang, Hyeongsik
    Choi, Byungwoong
    [J]. WATER, 2018, 10 (07)
  • [27] Integrating Semi-Supervised Learning with an Expert System for Vegetation Cover Classification Using Sentinel-2 and RapidEye Data
    Layegh, Nasir Farsad
    Darvishzadeh, Roshanak
    Skidmore, Andrew K.
    Persello, Claudio
    Krueger, Nina
    [J]. REMOTE SENSING, 2022, 14 (15)
  • [28] Managing Water Level for Large Migratory Fish at the Poyang Lake Outlet: Implications Based on Habitat Suitability and Connectivity
    Li, Huifeng
    Zhang, Hui
    Yu, Lixiong
    Cao, Kun
    Wang, Dengqiang
    Duan, Xinbin
    Ding, Fang
    Mao, Zhihui
    Wang, Ke
    Liu, Shaoping
    Wang, Sheng
    Chen, Daqing
    Wang, Lin
    [J]. WATER, 2022, 14 (13)
  • [29] Optimal design of seasonal flood limited water levels and its application for the Three Gorges Reservoir
    Liu, Pan
    Li, Liping
    Guo, Shenglian
    Xiong, Lihua
    Zhang, Wang
    Zhang, Jingwen
    Xu, Chong-Yu
    [J]. JOURNAL OF HYDROLOGY, 2015, 527 : 1045 - 1053
  • [30] Spatial and Temporal Variations of Habitat Quality and Its Response of Landscape Dynamic in the Three Gorges Reservoir Area, China
    Liu, Shuangshuang
    Liao, Qipeng
    Xiao, Mingzhu
    Zhao, Dengyue
    Huang, Chunbo
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (06)