Wang Zi-Hao, Wang Bing, Zhang Qiu-Liang, Sa Ru-la
College of Forestry, Inner Mongolia Agricultural University, Hohhot 010019, China.
Forest Ecosystem National Observation and Research Station of Greater Khingan Mountains in Inner Mongolia, Genhe 022350, China.
Huan Jing Ke Xue. 2025 May 8;46(5):3021-3032. doi: 10.13227/j.hjkx.202404062.
The Greater Khingan Mountains, as the sole cold temperate coniferous forest region in China, possess paramount ecological value and importance. Investigating the spatiotemporal variations of vegetation and the underlying driving factors in the Greater Khingan Mountains is crucially important for the ecological preservation of this region, for China's ecological security, and for advancing sustainable development. By utilizing the MOD09GA dataset, we constructed the kernel normalized difference vegetation index （KNDVI） as a metric for assessing vegetation growth conditions. Employing methodologies, such as Theil-Sen slope analysis, Mann-Kendall test, and the Hurst index, we examined the spatiotemporal dynamics of the vegetation within the Greater Khingan Mountains ecological function area and projected its future developmental trends. Utilizing the optimal parameter geographical detector, we identified the key environmental factors influencing vegetation cover changes in the Greater Khingan Mountains. The findings indicate that： ① From 2001 to 2020, vegetation cover in the Greater Khingan Mountains exhibited a progressive decline from north to south in spatial distribution, with the KNDVI increasing at a rate of 0.03 （10 a）. ② From 2001 to 2020, the spatial distribution pattern of vegetation cover in the Greater Khingan Mountains maintained a consistent northeast-southwest orientation, demonstrating a migratory trend towards the northeast. ③ Changes in land use type were determined to be the primary factor influencing vegetation cover changes in the Greater Khingan Mountains ecological function area. ④ Compared to individual factors, the interplay among multiple factors provided a more comprehensive explanation of the spatiotemporal heterogeneity of vegetation cover. These research outcomes offer valuable insights into the intrinsic mechanisms of vegetation change in the Greater Khingan Mountains ecological function area, inform sustainable development strategies, and provide a scientific basis for addressing global climate change challenges.
大兴安岭作为中国唯一的寒温带针叶林地区，具有至关重要的生态价值和意义。研究大兴安岭植被的时空变化及其潜在驱动因素，对于该地区的生态保护、中国的生态安全以及推进可持续发展至关重要。利用MOD09GA数据集，我们构建了核归一化植被指数（KNDVI）作为评估植被生长状况的指标。采用Theil-Sen斜率分析、Mann-Kendall检验和赫斯特指数等方法，我们研究了大兴安岭生态功能区内植被的时空动态，并预测了其未来发展趋势。利用最优参数地理探测器，我们确定了影响大兴安岭植被覆盖变化的关键环境因素。研究结果表明：①2001年至2020年，大兴安岭植被覆盖在空间分布上呈现出从北向南逐渐下降的趋势，KNDVI以0.03（10年）的速率增加。②2001年至2020年，大兴安岭植被覆盖的空间分布格局保持一致的东北-西南方向，呈现出向东北迁移的趋势。③土地利用类型的变化被确定为影响大兴安岭生态功能区植被覆盖变化的主要因素。④与单个因素相比，多个因素之间的相互作用对植被覆盖的时空异质性提供了更全面的解释。这些研究成果为大兴安岭生态功能区植被变化的内在机制提供了有价值的见解，为可持续发展战略提供了参考，并为应对全球气候变化挑战提供了科学依据。
