Spatio-temporal heterogeneity of vegetation cover and its driving forces in the Taihangshan-Yanshan Region
WANG Min-li1,2, ZHANG Hui-cong1, DONG Li-yao1, LI Jia-rui1, PANG Jiao3, YAN Feng1,4, HE Ling1
1. College of Land and Resources, Hebei Agricultural University, Baoding 071001, China; 2. School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, China; 3. Bohai College, Hebei Agricultural University, Huanghua 061100, China; 4. College of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, China
Abstract：The Taihangshan-Yanshan region serves as a crucial ecological barrier for the Beijing-Tianjin-Hebei area. Investigating the spatiotemporal patterns of vegetation growth and their influencing factors holds significant importance for implementing ecological conservation and restoration decisions. The MOD13A2.061NDVI dataset was obtained through the Google Earth Engine (GEE) platform, and the kernel Normalized Difference Vegetation Index (kNDVI) was further calculated. The spatiotemporal heterogeneity of vegetation cover was analyzed using the Theil-Sen Median method, coefficient of variation method, and Hurst index method. Subsequently, the optimal parameter geographical detector (OPGD) method was employed to identify the multivariate driving mechanisms behind its spatiotemporal differentiation. Results demonstrated that: From 2001 to 2020, the kNDVI in the study area showed a gradual increasing trend during spring, summer, and autumn, while exhibiting a decreasing trend in winter. The annual mean kNDVI displayed a spatial distribution pattern characterized by "higher values in northern and southern regions, lower in central areas", with significant spatial variability. The area with increased kNDVI (66.36%) was larger than that with decreased kNDVI (33.64%). Weak anti-persistence and weak positive persistence coexisted, collectively accounting for 99.26% of the total area. Approximately 80% of the region maintained kNDVI fluctuations at moderate or lower levels. OPGD analysis revealed that the primary drivers of kNDVI changes included evapotranspiration, land surface temperature, land use type, soil type, and vegetation type (all with q-values greater than 0.20). The interaction effects between land surface temperature and annual average temperature, and between land surface temperature and cumulative precipitation demonstrated particularly strong explanatory power, exceeding 0.50 and 0.47 respectively. Higher kNDVI values were observed when evapotranspiration ranged within (634mm, 814mm], land surface temperature fell within [5.2℃, 11.2℃], and urban population remained in (216000, 280000).
王敏丽, 张慧聪, 董丽瑶, 李佳蕊, 庞娇, 闫丰, 何玲. 太行山-燕山地区植被覆盖时空异质性及其驱动力[J]. 中国环境科学, 2025, 45(5): 2792-2805.
WANG Min-li, ZHANG Hui-cong, DONG Li-yao, LI Jia-rui, PANG Jiao, YAN Feng, HE Ling. Spatio-temporal heterogeneity of vegetation cover and its driving forces in the Taihangshan-Yanshan Region. CHINA ENVIRONMENTAL SCIENCECE, 2025, 45(5): 2792-2805.
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