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Vegetation Response to Groundwater Variation in Arid Environments: Visualization of Research Evolution, Synthesis of Response Types, and Estimation of Groundwater Threshold

Author

Listed:
  • Feng Huang

    (College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China)

  • Danrong Zhang

    (College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China)

  • Xi Chen

    (Institute of Surface-Earth System Science, Tianjin University, Tianjin 300072, China)

Abstract

Groundwater depth is an important environmental factor affecting vegetation growth and landscape dynamics in arid environments. This study applied a science mapping approach to visualize the development of groundwater-vegetation-related research, synthesized the vegetation response to changes in groundwater depth, and analyzed the change rate of the response curve to identify the groundwater threshold that is essential to conserve the groundwater-dependent terrestrial ecosystems. These ecosystems emerged as a research hotspot due to climate change, groundwater overexploitation, and the recognition of these ecosystems’ importance for sustainable development. There are two main types of response functions of vegetation to changes in groundwater depth—monotone and bell-shaped functions—among which the monotone function includes linear, curvilinear, and stepwise response. The shape of a response curve is mainly determined by the combined effects of oxygen stress, salinization, and water stress; oxygen stress and salinization dominate in shallow groundwater depth, while water stress dominates in deep groundwater depth. On a non-linear vegetation metric—groundwater depth response curve, the change rate analysis method is effective to identify the breakpoint that can be taken as a candidate threshold of groundwater depth. The results will add insight into the intellectual structure of the groundwater-vegetation interactions and provide practical reference for groundwater resource management, ecological conservation, and sustainable development in arid environments.

Suggested Citation

  • Feng Huang & Danrong Zhang & Xi Chen, 2019. "Vegetation Response to Groundwater Variation in Arid Environments: Visualization of Research Evolution, Synthesis of Response Types, and Estimation of Groundwater Threshold," IJERPH, MDPI, vol. 16(10), pages 1-15, May.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:10:p:1849-:d:234145
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    References listed on IDEAS

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    1. Chaomei Chen & Fidelia Ibekwe‐SanJuan & Jianhua Hou, 2010. "The structure and dynamics of cocitation clusters: A multiple‐perspective cocitation analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(7), pages 1386-1409, July.
    2. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    3. Xunzhou Chunyu & Feng Huang & Ziqiang Xia & Danrong Zhang & Xi Chen & Yongyu Xie, 2019. "Assessing the Ecological Effects of Water Transport to a Lake in Arid Regions: A Case Study of Qingtu Lake in Shiyang River Basin, Northwest China," IJERPH, MDPI, vol. 16(1), pages 1-14, January.
    4. Chaomei Chen & Fidelia Ibekwe-SanJuan & Jianhua Hou, 2010. "The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(7), pages 1386-1409, July.
    5. Feng Huang & Yude Zhang & Danrong Zhang & Xi Chen, 2019. "Environmental Groundwater Depth for Groundwater-Dependent Terrestrial Ecosystems in Arid/Semiarid Regions: A Review," IJERPH, MDPI, vol. 16(5), pages 1-13, March.
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    Cited by:

    1. Yan Nie & Chen Yin & Pu Wang & Xingying He & Junjun Cao & Jing Yu, 2022. "Temporal and Spatial Evolution of Eichmann Lake Wetland in Aksu River Basin and Its Response to Ecological Water Supply," IJERPH, MDPI, vol. 20(1), pages 1-15, December.
    2. Newton Muhury & Armando A. Apan & Tek N. Marasani & Gebiaw T. Ayele, 2022. "Modelling Floodplain Vegetation Response to Groundwater Variability Using the ArcSWAT Hydrological Model, MODIS NDVI Data, and Machine Learning," Land, MDPI, vol. 11(12), pages 1-23, November.

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