scholarly journals Variation in Cropping Intensity in Northern China from 1982 to 2012 Based on GIMMS-NDVI Data

2016 ◽  
Vol 8 (11) ◽  
pp. 1123 ◽  
Author(s):  
Mingjun Ding ◽  
Qian Chen ◽  
Xiangming Xiao ◽  
Liangjie Xin ◽  
Geli Zhang ◽  
...  
Keyword(s):  
Northern China ◽  
Cropping Intensity ◽  
Gimms Ndvi

scholarly journals Recent greening of grasslands in northern China driven by increasing precipitation

2021 ◽  
Author(s):  
Kai Di ◽  
Zhongmin Hu ◽  
Mei Wang ◽  
Ruochen Cao ◽  
Minqi Liang ◽  
...  
Keyword(s):  
Vegetation Cover ◽  
Turning Point ◽  
Temporal Dynamics ◽  
Driving Forces ◽  
Climatic Factors ◽  
Pearson Correlation ◽  
Northern China ◽  
Climatic Variables ◽  
Series Data ◽  
Gimms Ndvi

Abstract Aims Recent warmer and wetter climate in northern China remains a hot topic in recent years, yet its effect on vegetation growth has not been fully understood. This study investigated the temporal change of vegetation cover and its correlations with climatic variables from 1982 to 2018 for grasslands in northern China. Our aim is to clarify whether the warmer and wetter climate in recent years drives the greening of the vegetation in this region. Methods We investigated the temporal dynamic of vegetation Normalized Difference Vegetation Index (NDVI) and its driving forces based on long time-series data. Piecewise regression was used to examine whether there was a turning point of the trend of NDVI and climatic variables. Pearson correlation analyses were conducted to quantify the relationship between NDVI and climatic factors. Stepwise multivariable regression was used to quantify the contributions of climate variables to the temporal variations in NDVI. Important Findings We found a turning point of NDVI trend in 2008, with GIMMS NDVI indicating a slight increase of 0.00022 yr -1 during 1982-2008 to an increase of 0.002 yr -1 for GIMMS NDVI during 2008-2015 and 0.0018 yr -1 for MODIS NDVI during 2008-2018. Precipitation was the predominant driver, and air temperature and vapor pressure deficit (VPD) exerted a minor impact on the temporal dynamics of NDVI. Overall, our results suggest a turning point of NDVI trend, and that recent warmer and wetter climate has caused vegetation greening, which provides insights for better predicting the vegetation cover in this region under changing climate.

scholarly journals Decreasing Cropping Intensity Dominated the Negative Trend of Cropland Productivity in Southern China in 2000–2015

2020 ◽  
Vol 12 (23) ◽  
pp. 10070
Author(s):  
Zhongen Niu ◽  
Huimin Yan ◽  
Fang Liu
Keyword(s):  
Food Security ◽  
Agricultural Development ◽  
Climatic Factors ◽  
Southern China ◽  
Northern China ◽  
Wall Region ◽  
Cropping Intensity ◽  
River Region ◽  
Southwest Region ◽  
Cropland Productivity

As the country with the highest food consumption in the world, China’s food security has been drawing global attention. The inter-annual variability of agricultural productivity and its predominant driving factors play important roles in food security and sustainable agricultural development. Here, we used gross primary productivity (GPP), which was simulated using the vegetation photosynthesis model (VPM), to quantify the spatial-temporal heterogeneity of cropland productivity from 2000 to 2015. The results showed that the cropland GPP significantly increased in northern China and markedly decreased in southern China. Socioeconomic and climatic factors jointly promoted a rise in GPP in the Northeast region, Inner Mongolia and Great Wall region, Huang-Huai-Hai region, and Loess Plateau region, with contribution rates of 93.6%, 67.9%, 73.8%, and 78.1%, respectively. The negative GPP trend in southern China was mainly attributed to the decreasing cropping intensity, with direct contributions of 54.1%, 53.9%, and 48.7% for the Yangtze River region, Southwest region, and South China region, respectively. Despite the decline in cropping intensity, the policies of Cang-liang-yu-di and Cang-liang-yu-ji can help in ensuring food security in China.

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