State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China.
State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China.
Sci Total Environ. 2020 Jan 20;701:134782. doi: 10.1016/j.scitotenv.2019.134782. Epub 2019 Oct 28.
As the upper section of the Mekong River Basin, the vegetation quality of the Lancang River Basin (LRB) and the related ecological functions are critical for the whole basin. With time-series Moderate Resolution Imaging Spectroradiometer (MODIS) images from 2000 to 2015 and local daily climatic data since 1976, their vertical interaction differences were identified. The results showed that the spatial variation in Normalized difference vegetation index (NDVI) of grassland and forest were sensitive to elevation. The NDVI value in the southern area at elevations less than 3000 m was more than 0.80 and decreased to 0.30-0.60 with elevations higher than 4500 m. The general vegetation quality showed a positive trend under climate change over 16 years. The M-K test of daily precipitation and temperature from 12 local weather stations showed that the basin temperature varied more significantly than precipitation. The temporal correlation between NDVI with precipitation as well as temperature at each pixel indicated that temperature was the dominant factor affecting grassland and forest dynamics in the LRB. The interaction between vegetation and climate was more sensitive at elevations lower than 3000 m. Based on the RCP4.5 scenario, the future temperature distribution was predicted, and its impact on NDVI was simulated at the pixel scale. Under future drier and warmer climate conditions, the responded NDVI in the upper stream with higher elevation may increase soil erosion and decrease streamflow. The NDVI in the downstream area will be improved and be able to adapt to the related climate impacts. Because of the large amount of water and biomass in this basin, higher temperatures will accelerate the decomposition of forest foliar litter. Thus, more organic carbon and forest diffuse pollution will be discharged into the water, potentially affecting the water quality of the whole basin.
作为湄公河流域的上游部分,澜沧江流域的植被质量和相关生态功能对整个流域至关重要。本研究利用 2000-2015 年多时相 MODIS 影像和 1976 年以来的逐日气象数据,识别了它们的垂直交互差异。结果表明,草地和林地归一化植被指数(NDVI)的空间变化对海拔高度敏感。海拔低于 3000m 的南部地区 NDVI 值大于 0.80,海拔高于 4500m 的地区 NDVI 值降至 0.30-0.60。在 16 年的气候变化期间,整体植被质量呈正趋势。12 个当地气象站的日降水和温度的 M-K 检验表明,流域温度变化比降水更为显著。各像元上 NDVI 与降水和温度的时间相关性表明,温度是影响澜沧江流域草地和林地动态的主导因素。在海拔低于 3000m 的地区,植被与气候的相互作用更为敏感。在 RCP4.5 情景下,预测了未来的温度分布,并在像素尺度上模拟了其对 NDVI 的影响。在未来更干燥和温暖的气候条件下,较高海拔的上游响应 NDVI 可能会增加土壤侵蚀并减少径流量。下游地区的 NDVI 将得到改善,并能够适应相关的气候影响。由于该流域水量和生物量较大,较高的温度将加速森林叶凋落物的分解。因此,将有更多的有机碳和森林扩散污染排入水中,可能会影响整个流域的水质。