He Peng, Bi Ru-Tian, Xu Li-Shuai, Wang Jing-Shu, Cao Chen-Bin
College of Resources and Environment, Shanxi Agricultural University, Jinzhong 030801, Shanxi, China.
Institute of Desert Meteoro-logy, China Meteorologica Administration, Urumqi 830002, China.
Ying Yong Sheng Tai Xue Bao. 2022 Feb;33(2):448-456. doi: 10.13287/j.1001-9332.202202.012.
In order to explore the responses of different vegetation types to climatic change in the Chinese Loess Plateau (CLP), we analzyed the changes of different vegetation types and their relationships with meteorological factors using trend analysis, Hurst index, and geographical detector model based on normalized difference vegetation index (NDVI). The results showed that NDVI of different vegetation types from 2002 to 2019 was dominated by a growing trend and codirectional moderate persistence. The NDVI of crops in the built-up and adjacent areas decreased significantly. Except for grassland or meadow that was affected by mixed pixels, the spatial variation of NDVI was significant in the growing season (from April to October). The mean NDVI of different vegetation types followed an oder: coniferous forest > broadleaved forest > scrub > meadow > grassland > crop > steppe > desert. The interactions between meteorological factors were synergistic and non-linear enhancement in the CLP. Moreover, the interaction was more prominent under steppe and desert where habitat was fragile. The synergistic effect of precipitation and temperature had a great influence on all vegetation types. Water vapor, relative humidity, sunshine duration, atmospheric pressure, and wind speed had different explanatory powers on NDVI through indirectly affec-ting hydrothermal conditions.
为了探究中国黄土高原（CLP）不同植被类型对气候变化的响应，我们基于归一化植被指数（NDVI），利用趋势分析、赫斯特指数和地理探测器模型，分析了不同植被类型的变化及其与气象因子的关系。结果表明，2002年至2019年不同植被类型的NDVI以增长趋势为主，且具有同向的中度持续性。建成区及周边地区农作物的NDVI显著下降。除受混合像元影响的草地或草甸外，生长季（4月至10月）NDVI的空间变化显著。不同植被类型的平均NDVI排序为：针叶林＞阔叶林＞灌丛＞草甸＞草地＞农作物＞草原＞荒漠。黄土高原气象因子间的相互作用具有协同性和非线性增强作用。此外，在草原和荒漠这种生境脆弱的地区，这种相互作用更为突出。降水和温度的协同效应对所有植被类型都有很大影响。水汽、相对湿度、日照时数、气压和风速通过间接影响水热条件，对NDVI具有不同的解释力。
