共 64 条
Temporal and Spatial Variation in Vegetation and Its Influencing Factors in the Songliao River Basin, China
被引:6
作者:

Chang, Lei
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Jilin Univ, Coll Earth Sci, Changchun 130061, Peoples R China Jilin Univ, Coll Earth Sci, Changchun 130061, Peoples R China

Li, Ying
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h-index: 0
机构:
Jilin Univ, Coll Earth Sci, Changchun 130061, Peoples R China Jilin Univ, Coll Earth Sci, Changchun 130061, Peoples R China

Zhang, Keyi
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机构:
Jilin Univ, Coll Earth Sci, Changchun 130061, Peoples R China Jilin Univ, Coll Earth Sci, Changchun 130061, Peoples R China

Zhang, Jialin
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机构:
Jilin Agr Univ, Coll Plant Protect, Changchun 130118, Peoples R China Jilin Univ, Coll Earth Sci, Changchun 130061, Peoples R China

Li, Yuefen
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h-index: 0
机构:
Jilin Univ, Coll Earth Sci, Changchun 130061, Peoples R China Jilin Univ, Coll Earth Sci, Changchun 130061, Peoples R China
机构:
[1] Jilin Univ, Coll Earth Sci, Changchun 130061, Peoples R China
[2] Jilin Agr Univ, Coll Plant Protect, Changchun 130118, Peoples R China
来源:
基金:
中国国家自然科学基金;
关键词:
vegetation spatial-temporal variation;
NDVI;
Geodetector;
Songliao River Basin;
CLIMATE-CHANGE;
TREND ANALYSIS;
DYNAMICS;
GROWTH;
COVER;
RESPONSES;
PATTERNS;
INDEXES;
MAXIMUM;
IMPACT;
D O I:
10.3390/land12091692
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
As an important part of soil and water conservation, ecological stability, and climate regulation, vegetation is sensitive to climate change and human disturbance. At present, there is a lack of research on the dynamic changes to vegetation in river basins and sub-basins from a holistic and partial perspective, which limits our ability to understand the spatial heterogeneity of vegetation changes and their influencing factors. In this study, the spatial and temporal variations of vegetation and their influencing factors in the Songliao River Basin (SLB) from 2000 to 2020 were analyzed using Sen's trend method, the Mann-Kendall test, the coefficient of variation method, and the Geodetector method. The results showed that the NDVI (normalized difference vegetation index) in the SLB exhibited an increasing trend of 0.003 yr-1, indicating that the vegetation was greening. In general, climatic factors and soil type were the dominant factors affecting the spatial differentiation of the NDVI in the SLB and sub-basin units. The interactions between the influencing factors were all enhanced, and the population density highlighted its influence on reflected vegetation changes. We also focused on analyzing the spatial differentiation of vegetation changes and influencing factors in the sub-basins. The research results provide a basis for the ecological restoration and stability of the basin.
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