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Chinese Journal of Applied Ecology ›› 2022, Vol. 33 ›› Issue (3): 655-663.doi: 10.13287/j.1001-9332.202203.010

• Special Features of Impact of Global Change on Resource and Environmental Carrying Capacity in Ecologically Fragile Areas • Previous Articles     Next Articles

Methods and development trend for the measurement of plant species diversity in grasslands.

SUN Yi1, QIN Yu2, WEI Tian-feng3, CHANG Li4, ZHANG Ren-ping5, LIU Zhi-you6, LYU Yan-yan1, YI Shu-hua1*   

  1. 1Institute of Fragile Eco-environment/School of Geographic Science, Nantong University, Nantong 226019, Jiangsu, China;
    2Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China;
    3College of Water Conservancy and Hydropower Engineering, Gansu Agricultural University, Lanzhou 730070, China;
    4College of Geography and Environmental Engineering, Lanzhou City University, Lanzhou 730070, China;
    5College of Resources and Environment Sciences, Xinjiang University, Urumqi 830046, China;
    6School of Management, Xinjiang Agricultural University, Urumqi 830046, China
  • Received:2021-09-27 Accepted:2021-11-29 Online:2022-03-15 Published:2022-09-15

Abstract: Plant species diversity is one of the critical factors for maintaining multi-function and stability of terrestrial ecosystem. We reviewed the traditional methods for measuring plant species diversity of grassland (PSDG), and then introduced the new ideas and methods used for PSDG monitoring. Traditionally, PSDG monitoring depended heavily on ground-based investigation, which usually required large amounts of time, labor, and cost, and therefore was only suitable for small scale investigation. Grassland plant species were typically small in size and highly mixed. It was difficult to identify and measure by remote sensing due to the limitation of resolution. Consequently, most studies on PSDG were based on remote-sensing retrieval or habitat simulation. Characterized with high spatial-temporal resolution, flexible and low cost, the unmanned aerial vehicle (UAV) technology was regarded as the bridge between ground-based investigation and satellite remote sensing. It could be the breakthrough for monitoring PSDG accurately at large scales. In the future, we should establish PSDG monitoring network by combining the fixed monitoring sites and dynamic monitoring sites of UAV and satellite remote sensing, and integrating UAV and automatic target recognition organically.

Key words: spatial-temporal scale, species diversity, grassland, observation network