[Spatial and Temporal Characteristics and Driving Force Analysis of Vegetation Cover Change in Greater Khingan Mountains Ecological Functional Area Based on KNDVI].

Q2 Environmental Science
Zi-Hao Wang, Bing Wang, Qiu-Liang Zhang, Ru-la Sa
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引用次数: 0

Abstract

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)-1. 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.

基于KNDVI的大兴安岭生态功能区植被覆盖变化时空特征及驱动力分析[j]。
大兴安岭作为中国唯一的寒温带针叶林地区,具有极高的生态价值和重要意义。研究大兴安岭植被时空变化特征及其驱动因素,对保护大兴安岭生态环境、保障中国生态安全、促进可持续发展具有重要意义。利用MOD09GA数据集,构建了核归一化植被指数(KNDVI)作为评价植被生长状况的指标。采用Theil-Sen坡度分析、Mann-Kendall检验和Hurst指数等方法,分析了大兴安岭生态功能区植被的时空动态,并对其未来发展趋势进行了预测。利用最优参数地理探测器,确定了影响大兴安岭植被覆盖变化的关键环境因子。结果表明:①2001 ~ 2020年,大兴安岭植被覆盖空间分布呈现自北向南逐渐减少的趋势,KNDVI以0.03 (10 a)-1的速率增加;②2001—2020年,大兴安岭植被覆盖空间分布格局基本保持东北—西南方向,呈现向东北迁移的趋势。③土地利用类型变化是影响大兴安岭生态功能区植被覆盖变化的主要因素。④与单个因子相比,多因子间的相互作用能更全面地解释植被覆盖的时空异质性。这些研究成果为深入了解大兴安岭生态功能区植被变化的内在机制、指导可持续发展战略,为应对全球气候变化挑战提供科学依据。
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来源期刊
环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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