Vegetation change and its drivers in the Minjiang River Basin in 2000—2020

doi:10.13466/j.cnki.lczyyj.2025.01.012

Abstract

Abstract:

Analyzing the trend of vegetation dynamics and its driving mechanism in the Minjiang River Basin can help to provide a reference basis for ecological environmental protection in the basin.Linear trend analysis,partial correlation analysis and residual analysis were used to analyze the spatiotemporal characteristics of the normalized difference vegetation index(NDVI)and the contributions of its driving factors in the Minjiang River Basin from 2000 to 2020.The results showed that:1)NDVI in the Minjiang River Basin showed an increasing trend from 2000 to 2020,with an average interannual rate of change of NDVI of 0.002 1,and the proportion of areas showing a significant increase was about 43.54%,which was mainly distributed in the relatively low elevation areas in the basin,while the proportion of areas showing a significant decrease was only 2.3%,which was mainly distributed in the southeastern part of the basin.2)Air temperature and precipitation can promote the growth of NDVI,but there is obvious spatial heterogeneity between the two;the areas with positive correlation between air temperature and precipitation and NDVI accounted for 80.17% and 73.84% of the total area,respectively.3)Climate change and human activities are the dominant factors to promote the NDVI growth in the basin,contributing 40% and 60% respectively to vegetation improvement.The areas with human activities contributing over 60% accounted for about 51.93%,suggesting that more attention should be paid to the influence of human activities in vegetation management and restoration.

Key words: vegetation change, normalized difference vegetation index, climate change, human activities, residual analysis

CLC Number:

S771.8

ZHANG Jiao, CHEN Lingxiu, DAI Hongxia, LIU Shenglong, CHEN Sitao, XU Mengjie, XIE Huili, LIU Xingzhao. Vegetation change and its drivers in the Minjiang River Basin in 2000—2020[J]. Forest and Grassland Resources Research, 2025, (1): 104-113.

Figures/Tables 14

Tab.1

Tab.2

Criteria for determining drivers and calculating the contribution rate

S_NDVI,GC	驱动因素	S_NDVI,CC	S_NDVI,HA	贡献率/%
S_NDVI,GC	驱动因素	S_NDVI,CC	S_NDVI,HA	气候变化	人类活动
>0	CC&HA	>0	>0	$S N D V I, C C S N D V I, G C$	$S N D V I, H A S N D V I, G C$
	CC	>0	<0	100	0
	HA	<0	>0	0	100
<0	CC&HA	<0	<0	$S N D V I, C C S N D V I, G C$	$S N D V I, H A S N D V I, G C$
	CC	<0	>0	100	0
	HA	>0	<0	0	100

Tab.2

Fig.1

Fig.2

Fig.3

Fig.4

Tab.3

Fig.5

Fig.6

Tab.4

Fig.7

Tab.5

Fig.8

Tab.6

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S_NDVI,GC			影响程度
<-0.002 0			明显抑制
-0.002 0	~	<-0.001 0	中度抑制
-0.001 0	~	<-0.000 2	轻微抑制
-0.000 2	~	<0.000 2	基本无影响
0.000 2	~	<0.001 0	轻微促进
0.001 0	~	<0.002 0	中度促进
≥0.002 0			明显促进

气候因子	R		面积占比/%
气候因子	取值范围	平均值	显著正相关	不显著正相关	显著负相关	不显著负相关
气温	-0.91~0.91	0.204 7	61.22	18.95	18.12	1.71
降水	-0.80~0.83	0.126 9	67.76	6.08	25.68	0.48

驱动因素	明显抑制	中度抑制	轻微抑制	基本无影响	轻微促进	中度促进	明显促进
气候变化	2.16	2.59	7.84	11.33	30.78	30.86	14.43
人类活动	3.58	3.52	6.94	6.33	18.78	28.89	31.96

贡献率/%	面积占比/%
贡献率/%	气候变化	人类活动
0~20	27.86	13.70
20<~40	24.07	11.17
40<~60	23.20	23.20
60<~80	11.16	24.06
80<~100	13.70	27.87