Spatiotemporal Evolution of NPP in Sandy Land of China's Seasonal Freezing-Thawing Typical Region

IF 1.3 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Jingfa Wang, Huishi Du
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引用次数: 0

Abstract

Based on the data set of AVHRR GIMMS, TERRA/AQUA MODIS NDVI, and climate data from 1982 to 2018, CASA model, GIS spatial analysis, and mathematical statistics were used to study the changing law in the category of time and space, spatial distribution, and the correlativity between the NPP and meteorological factors in the sandy land of China's Seasonal Freezing-Thawing Typical Region. The results showed that the average annual NPP value of vegetation in the growing season of the sandy land from 1982 to 2018 fluctuated between 217.65-356.61 gC/m2a, showing an obvious seasonality and a significant increase. The spatial distribution of NPP in the sandy land in the near 37a is significantly different. There are significant seasonal differences in vegetation responses to temperature, precipitation, wind speed, evaporation, and other meteorological factors in different regions. The increase of vegetation cover in sandy land of China's Seasonal Freezing-Thawing Typical Region is controlled by regional atmospheric circulation and human dynamics.
中国季节性冻融典型区沙地NPP的时空演变
基于AVHRR GIMMS数据集、TERRA/AQUA MODIS NDVI数据集和1982 - 2018年气候资料,采用CASA模型、GIS空间分析和数理统计等方法,研究了中国季节性冻融典型区沙地NPP的时空变化规律、空间分布及其与气象因子的相关性。结果表明:1982 ~ 2018年沙地生长季植被年平均NPP值在217.65 ~ 356.61 gC/m2a之间波动,表现出明显的季节性和显著的增加;近37a沙地NPP的空间分布存在显著差异。不同区域植被对温度、降水、风速、蒸发等气象因子的响应存在显著的季节差异。中国季节性冻融典型区沙地植被覆盖增加受区域大气环流和人为动力控制。
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来源期刊
International Journal of Agricultural and Environmental Information Systems
International Journal of Agricultural and Environmental Information Systems COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
6.70
自引率
0.00%
发文量
10
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