School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, Hubei Province, P.R.China.
PLoS One. 2021 Mar 29;16(3):e0247682. doi: 10.1371/journal.pone.0247682. eCollection 2021.
With the development of a large number of tall dams and large cascade reservoir projects in the Lantsang River Basin, a large water level fluctuating zone (WLFZ) containing cascading reservoirs has formed. This newborn ecosystem is related to the sustainable development of hydropower projects, and has become a new problem to be studied urgently. Taking WLFZs in the Huangdeng, Xiaowan and Nuozhadu Reservoirs in the Lantsang River Basin as study areas, this study used multi-spectral remote-sensing field data obtained with unmanned aerial vehicles (UAVs) to ascertain the species types, coverage, distribution characteristics, dominant species and pioneer species of naturally restored vegetation. The considered data were subjected to UAV data processing, vegetation classification using multi-spectral images and a geographic information system (GIS) terrain-distribution analysis. Results show that: Polygonum Plebeium, Cynodon dactylon, Xanthium sibiricum, Ageratum conyzoides, Eleusine indica, Digitaria sanguinalis and Verbena officinalis are the dominant species of vegetation that could be naturally restored in the WLFZ; the vegetation coverage and the number of species are significantly positively correlated with the age and restoration periods of the WLFZ; the vegetation coverage of each study area increases at first, and then decreases, as a function of elevation; gentle slopes about 0-25°are more suitable for vegetation restoration. This study provides first-hand data on the natural restoration of vegetation in WLFZs, and gives a useful reference for its ecological restoration as a consequence of hydropower cascade development in the Lantsang River Basin. Finally, the study demonstrates that light UAV remote sensing is an attractive choice for investigating vegetation in reservoir WLFZs.
随着大量的高大水坝和大型梯级水库工程在澜沧江流域的发展,形成了一个包含梯级水库的大水位波动区(WLFZ)。这个新生的生态系统与水电项目的可持续发展有关,已成为一个亟待研究的新问题。本研究以澜沧江流域黄登、小湾和糯扎渡水库的 WLFZ 为研究区域,利用无人机(UAV)获取的多光谱遥感野外数据,确定了自然恢复植被的物种类型、覆盖度、分布特征、优势种和先锋种。考虑的数据经过 UAV 数据处理、多光谱图像植被分类和地理信息系统(GIS)地形分布分析。结果表明:多枝蓼、狗牙根、苍耳、鬼针草、画眉草、马唐和马鞭草是 WLFZ 中可自然恢复的植被的优势种;植被覆盖度和物种数量与 WLFZ 的年龄和恢复期呈显著正相关;各研究区的植被覆盖度随海拔的升高先增加后减少;坡度在 0-25°左右的缓坡更适合植被恢复。本研究为 WLFZ 中植被的自然恢复提供了第一手数据,为澜沧江流域水电梯级开发所导致的 WLFZ 生态恢复提供了有益的参考。最后,研究表明,轻型无人机遥感是调查水库 WLFZ 植被的一种有吸引力的选择。