太行山-燕山地区植被覆盖时空异质性及其驱动力

王敏丽; 张慧聪; 董丽瑶; 李佳蕊; 庞娇; 闫丰; 何玲

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中国环境科学 ›› 2025, Vol. 45 ›› Issue (5) : 2792-2805.

环境生态

太行山-燕山地区植被覆盖时空异质性及其驱动力

王敏丽^1,2, 张慧聪¹, 董丽瑶¹, 李佳蕊¹, 庞娇³, 闫丰^1,4, 何玲¹

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Spatio-temporal heterogeneity of vegetation cover and its driving forces in the Taihangshan-Yanshan Region

WANG Min-li^1,2, ZHANG Hui-cong¹, DONG Li-yao¹, LI Jia-rui¹, PANG Jiao³, YAN Feng^1,4, HE Ling¹

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文章历史 +

摘要

太行山-燕山地区是京津冀重要的生态屏障区,探究其植被生长的时空格局和影响因素对生态保护修复等决策的实施具有重要意义.依托谷歌地球引擎(GEE)获取MOD13A2.061NDVI数据集并进一步计算核归一化指数(kNDVI),采用Theil-Sen Median法、变异系数法和Hurst指数法等方法分析太行山-燕山地区植被覆盖的时空异质性特征,进而采用参数最优地理探测器法(OPGD)厘清了其时空分异的多元驱动机制.结果表明:2001~2020年研究区kNDVI的变化春夏秋三季呈缓慢上升的趋势,而冬季具有下降趋势,kNDVI年均值空间分布上呈"北部和南部高,中部低"的特点,空间差异性较大;kNDVI增加区域(66.36%)大于减少区域(33.64%),弱反向持续性和弱正向持续性并存,两者区域面积占比高达99.26%,近80%的区域kNDVI波动性在中等及以下水平;OPGD结果显示,驱动太行山-燕山地区kNDVI变化的主要因子有蒸散发量、地表温度、土地利用类型、土壤类型和植被类型(q值均大于0.20),地表温度与年平均气温和地表温度与累计降水的交互作用解释力更是超过了0.50和0.47.蒸散发量在(634mm,814mm]区间、地表温度在[5.2,11.2]℃℃区间和城镇人口在(21.6万人,28万人)区间时,kNDVI表现更高.

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).

导出引用

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[J]. China Environmental Science. 2025, 45(5): 2792-2805

中图分类号： X87

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