石羊河流域归一化植被指数变化及其驱动因子分析

doi:10.12118/j.issn.1000-6060.2024.036

Abstract

Abstract:

The problem of land desertification is serious, and, in this regard, the ecological environment has shown great frailty in Shiyang River Basin, Gansu Province, China. Studying the driving factors of vegetation cover is thus of great significance for ecological environment protection in the river basin. Using monthly NASA GIMMS normalized difference vegetation index (NDVI), temperature, precipitation, sunshine, and evaporation data in Shiyang River Basin from 2000 to 2020, change characteristics and driving factors of NDVI were analyzed using trend slopes, cumulative distances and signal-to-noise ratios, correlation coefficients, and multiple regressions. The results were as follows: (1) The spatial distribution of NDVI in Shiyang River Basin followed the trend of upper reaches>whole river basin>middle reaches>lower reaches because of the influence of altitude, landform, and climate difference. (2) The annual NDVI showed an obviously increasing trend in the whole river basin and its upper and middle reaches, and a slightly increasing trend in the lower reaches. The slope trend followed upper reaches>whole river basin>middle reaches>lower reaches. The NDVI of four seasons also showed growth trends, with the slope trend being summer>autumn>winter>spring, with summer, autumn, and winter basically having significant growth. A mutation of the NDVI of whole river basin and its upper, middle, and lower reaches occurred in 2010 or 2011. (3) The climate factors that affected the NDVI change were precipitation, temperature, evaporation, and sunshine hours. In turn, temperature, precipitation, and evaporation positively contributed to NDVI, whereas sunshine duration had a negative contribution to NDVI. NDVI change was a result of combined climate change and human activities in Shiyang River Basin. The contribution of climate factors to NDVI was greater than that of human activities in the whole river basin and its upper reaches, whereas the contributions of climate factors and human activities to NDVI were equal in the middle and lower reaches. The contribution rate of human activities increased significantly after mutation, whereas the contribution rate of climate factors was relatively weakened. This study provides a scientific basis for vegetation restoration and ecological environment protection in Shiyang River Basin.

Key words: NDVI, trend slope, driving factor, multiple regression, Shiyang River Basin

YANG Xiaoling, DING Wenkui, ZHOU Hua, LI Yanying, CHEN Haibei. Normalized difference vegetation index change and its driving factors in Shiyang River Basin[J].Arid Land Geography, 2024, 47(10): 1735-1744.

Figures/Tables 11

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等级	趋势斜率（a）/·a^-1
严重退化	a≤-0.0015
中度退化	-0.0015<a≤-0.0010
轻微退化	-0.0010<a≤-0.0005
基本不变	-0.0005<a≤0.0005
轻微增长	0.0005<a≤0.0010
中度增长	0.0010<a≤0.0015
明显增长	a>0.0015

季节	指标	全流域	上游	中游	下游
春季	多年均值	0.1610	0.1964	0.1629	0.0864
	趋势斜率/·a^-1	0.0013	0.0023	0.0008	0.0004
	增长等级	中度增长	明显增长	轻微不变	基本不变
夏季	多年均值	0.3075	0.3964	0.3054	0.1335
	趋势斜率/·a^-1	0.0035	0.0043	0.0039	0.0011
	增长等级	明显增长	明显增长	明显增长	中度增长
秋季	多年均值	0.2144	0.2784	0.2037	0.1080
	趋势斜率/·a^-1	0.0028	0.0041	0.0024	0.0008
	增长等级	明显增长	明显增长	明显增长	轻微增长
冬季	多年均值	0.1258	0.1567	0.1175	0.0807
	趋势斜率/·a^-1	0.0016	0.0019	0.0016	0.0007
	增长等级	明显增长	明显增长	明显增长	轻微增长

地名	多元回归模型	复相关系数	R²	置信水平
全流域	NDVI_NA=0.3403^T+0.7706^**P-0.1159S+0.3287E	0.7855	0.6171	0.01
上游	NDVI_NA=0.3513^T+0.8641^**P-0.0896S+0.2684E	0.8084	0.6535	0.01
中游	NDVI_NA=0.5386^T+0.6091^P-0.1172S-0.0339E	0.7378	0.5443	0.01
下游	NDVI_NA=0.4672^*T+0.2678P-0.1281S+0.1958E	0.5861	0.3436	0.01

时段	影响因子	全流域	上游	中游	下游
总时段	气候因子	58.3	60.6	50.0	50.0
总时段	人类活动	41.7	39.4	50.0	50.0
突变前	气候因子	72.6	76.7	66.9	68.7
突变前	人类活动	27.4	23.3	33.1	31.3
突变后	气候因子	56.4	59.9	47.5	48.7
突变后	人类活动	43.6	40.1	52.5	51.3

Normalized difference vegetation index change and its driving factors in Shiyang River Basin

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