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NDVI dynamics under changing meteorological factors in a shallow lake in future metropolitan, semiarid area in North China

机译:气象因素变化下华北未来大都市半干旱地区浅湖NDVI动态

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摘要

Three meteorological parameters, including one parameter representing water conditions (i.e., precipitation) and two parameters representing energy conditions (i.e., net radiation and air temperature), were used to make an in-depth analysis of the response of Normalized Difference Vegetation Index (NDVI) dynamics to climate change in Lake Baiyangdian, a shallow lake located in Xiong’an New Area (XNA), a future metropolitan in North China. The results showed that the vegetation coverage of the entire area remained at a medium level with average NDVI being 0.46 during 2000–2015. At a yearly scale, water was the key factor controlling the reed growth in Lake Baiyangdian. NDVI variations in each season had different water/energy driving factors. In spring, summer and autumn, vegetation growth was mainly affected by net radiation, air temperature and air temperature, respectively. Time-lags between NDVI and the meteorological parameters varied from parameters and seasons. Taken together, this research broadened our cognition about response characteristics of NDVI dynamics to water and energy variations through adding an important meteorological parameter (i.e., net radiation). With the rapid construction of XNA, it could be helpful for accurately understanding impacts of climate change on vegetation growth and be beneficial for effective ecosystem management in water shortage areas.
机译:三个气象参数,包括一个代表水状况(即降水)的参数和两个代表能源状况(即净辐射和气温)的参数,用于对归一化植被指数(NDVI)的响应进行深入分析。 )白洋淀湖(位于中国北部未来的大都市雄安新区(XNA)中的浅湖)中的气候变化动态。结果表明,整个地区的植被覆盖率保持在中等水平,在2000–2015年期间平均NDVI为0.46。每年,水是控制白洋淀湖芦苇生长的关键因素。每个季节的NDVI变化具有不同的水/能量驱动因子。在春季,夏季和秋季,植被生长分别主要受净辐射,气温和气温影响。 NDVI和气象参数之间的时滞因参数和季节而异。总之,这项研究通过增加重要的气象参数(即净辐射),扩大了我们对NDVI动态对水和能量变化的响应特性的认识。随着XNA的快速建设,它可能有助于准确了解气候变化对植被生长的影响,并有助于在缺水地区进行有效的生态系统管理。

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