黄河流域植被动态及其对气候变化的响应——基于气候干湿分区尺度

doi:10.12118/j.issn.1000-6060.2024.416

Abstract

Abstract:

The Yellow River Basin, as a significant ecological protection and economic development area in China, exploring the characteristics of vegetation changes in different dry and wet zones within the basin is crucial for adjusting ecological restoration to address potential threats brought by environmental changes. Based on the kernel normalized difference vegetation index (kNDVI) and key meteorological factors [precipitation (PRE) and temperature (TEM)] from 2000 to 2022, this study utilized multivariate statistical methods to analyze the spatiotemporal patterns of vegetation dynamics in different dry and wet zones within the basin. Additionally, the Geodetector model and constrained effect method were employed to analyze the driving factors of vegetation changes in the Yellow River Basin, and to identify the commonalities and differences in the responses of vegetation changes to meteorological factors in different dry and wet zones. The results show that: (1) The kNDVI values of vegetation in the Yellow River Basin are latitudinally distributed, with the humid zone having the highest average annual kNDVI (0.49). During 2000—2022, 84.58% of the basin showed an upward trend, with the most significant improvements in the arid zone (68.36%) and semi-arid zone (93.08%). (2) Precipitation generally has a stronger influence on vegetation than temperature in the Yellow River Basin, with partial correlation coefficients of 0.36 and 0.19 at the basin scale, respectively. This difference is particularly pronounced in the semi-arid zone, where the partial correlation coefficients of precipitation and temperature reach 0.43 and 0.22, respectively. (3) In terms of spatial heterogeneity, the q value of precipitation (0.5338) is greater than that of temperature (0.2283) at the basin scale. Moreover, the q value of precipitation is highest in the semi-arid zone (0.4519), while the q value of temperature is highest in the semi-humid zone (0.2491). The responses of vegetation dynamics to various meteorological factors in different dry and wet zones exhibit distinct constraint lines. The research findings can provide important references for adjusting and formulating ecological protection strategies in the basin and are of great significance for promoting high-quality development in the Yellow River Basin.

Key words: vegetation change, kernel normalized vegetation index (kNDVI), dry and wet zone, restraint effect, Yellow River Basin

WANG Ruifang, LYU Baoqi, ZHANG Wenjing. Vegetation dynamics and their responses to climate change in the Yellow River Basin: Based on climatic wet and dry zoning scales[J].Arid Land Geography, 2025, 48(6): 973-984.

Figures/Tables 12

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References 39

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数据集	数据类型	分辨率/m	年份	数据来源
降水量	栅格	1000	2000—2022	资源环境数据云平台（https://www.resdc.cn/）
气温	栅格	1000	2000—2022	资源环境数据云平台（https://www.resdc.cn/）
高程	栅格	90	2019—2021	地理空间数据云（https://www.gscloud.cn/）
土地利用类型	栅格	30	2000—2022	国家地球系统科学数据中心（https://www.geodata.cn/）

S_kNDVI	Z_s值	kNDVI趋势	面积占比/%
≥0.0005	≥1.96	显著上升	65.36
≥0.0005	-1.96~1.96	轻微上升	19.22
-0.0005~0.0005	-1.96~1.96	无变化	8.80
≤-0.0005	-1.96~1.96	轻微下降	4.75
≤-0.0005	≤-1.96	显著下降	1.87

气象因子	黄河流域	干旱区	半干旱区	半湿润区	湿润区
降水量	0.5338	0.0063	0.4519	0.0798	0.0831
气温	0.2283	0.0624	0.1507	0.2491	0.1105
气温与降水量交互影响	0.6057	0.1472	0.5285	0.3220	0.1904

Vegetation dynamics and their responses to climate change in the Yellow River Basin: Based on climatic wet and dry zoning scales

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