The dynamic of vegetation coverage and its response to climate factors in Inner Mongolia, China

2011 ◽  
Vol 26 (3) ◽  
pp. 357-373 ◽  
Author(s):  
Yang Yang ◽  
Jianhua Xu ◽  
Yulian Hong ◽  
Guanghui Lv
2013 ◽  
Vol 23 (2) ◽  
pp. 231-246 ◽  
Author(s):  
Shaojie Mu ◽  
Hongfei Yang ◽  
Jianlong Li ◽  
Yizhao Chen ◽  
Chengcheng Gang ◽  
...  

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 221525-221538
Author(s):  
Wendu Rina ◽  
Gang Bao ◽  
Siqin Tong ◽  
Yuhai Bao ◽  
Yin Shan ◽  
...  

2020 ◽  
Vol 12 (12) ◽  
pp. 5214 ◽  
Author(s):  
Hao Wang ◽  
Fei Yao ◽  
Huasheng Zhu ◽  
Yuanyuan Zhao

Vegetation coverage is a key variable in terrestrial ecosystem monitoring and climate change research and is closely related to soil erosion and land desertification. In this article, we aimed to resolve two key scientific issues: (1) quantifying the spatial-temporal vegetation dynamics in the Otindag Sandy Land (OSL); and (2) identifying the relative importance of climate factors and human activities in impacting vegetation dynamics. Based on correlation analysis, simple regression analysis, and the partial derivative formula method, we examined the spatiotemporal variation of vegetation coverage in the OSL, belonging to the arid and semiarid region of northern China, and their interaction with climate-human factors. The results showed that the vegetation coverage of the area showed a downward trend with a rate of −0.0006/a during 2001–2017, and gradually decreased from east to west. Precipitation was the main climate factor controlling the overall distribution pattern of vegetation coverage, while the human factors had a more severe impact on the vegetation coverage than the climate factors in such a short period, and the overall impact was negative. Among the human factors, population pressure, urbanization, industrialization, pastoral production activities, and residents’ lifestyles had a negative impact. However, ecological restoration polices alleviated the contradiction between human development and vegetation deterioration. The results of this article provide a scientific basis for restoring grassland systems in arid and semi-arid areas


2013 ◽  
Vol 33 (12) ◽  
pp. 3752-3764 ◽  
Author(s):  
穆少杰 MU Shaojie ◽  
李建龙 LI Jianlong ◽  
周伟 ZHOU Wei ◽  
杨红飞 YANG Hongfei ◽  
章超斌 ZHANG Chaobin ◽  
...  

2012 ◽  
Vol 32 (1) ◽  
pp. 111-122 ◽  
Author(s):  
周伶 ZHOU Ling ◽  
上官铁梁 SHANGGUAN Tieliang ◽  
郭东罡 GUO Donggang ◽  
高洪文 GAO Hongwen ◽  
王赞 WANG Zan

2014 ◽  
Vol 955-959 ◽  
pp. 3505-3508 ◽  
Author(s):  
Tian Ming Gao ◽  
Rui Qiang Zhang ◽  
Jian Ying Guo

In northern China, grassland has degraded severely and wind erosion occurs remarkably due to irrational land use in recent years. By employing sand sampler and mobile wind tunnel, an observation for 6 years was made to analyze the mechanisms of wind erosion in Xilamuren grassland, the central of Yinshan Mountains, Inner Mongolia. Results show that: (1) vegetation is the decisive factor for controlling wind erosion and the inhibiting effect of vegetation height on wind erosion is greater than that of vegetation coverage. (2) Wind erosion modulus in the initial period of enclosure reaches 1313.7 t km-2a-1 and with the improvement of the grassland vegetation, wind erosion decreases year by year. (3) For every 1000 kg soil eroded by wind, 15 kg organic matter, 227g available nitrogen, 262g available phosphorus and 120g available potassium lose in the region at the same time, being a tremendous fertility loss. Therefore, the protection of base grassland and restoration of degraded grassland are two fundamental approaches to control wind erosion on the grassland.


2020 ◽  
Vol 12 (6) ◽  
pp. 2534 ◽  
Author(s):  
Dong He ◽  
Xianglin Huang ◽  
Qingjiu Tian ◽  
Zhichao Zhang

Inner Mongolia Autonomous Region (IMAR) is related to China’s ecological security and the improvement of ecological environment; thus, the vegetation’s response to climate changes in IMAR has become an important part of current global change research. As existing achievements have certain deficiencies in data preprocessing, technical methods and research scales, we correct the incomplete data pre-processing and low verification accuracy; use grey relational analysis (GRA) to study the response of Enhanced Vegetation Index (EVI) in the growing season to climate factors on the pixel scale; explore the factors that affect the response speed and response degree from multiple perspectives, including vegetation type, longitude, latitude, elevation and local climate type; and solve the problems of excessive ignorance of details and severe distortion of response results due to using average values of the wide area or statistical data. The results show the following. 1. The vegetation status of IMAR in 2000-2018 was mainly improved. The change rates were 0.23/10° N and 0.25/10° E, respectively. 2. The response speed and response degree of forests to climatic factors are higher than that of grasslands. 3. The lag time of response for vegetation growth to precipitation, air temperature and relative humidity in IMAR is mainly within 2 months. The speed of vegetation‘s response to climate change in IMAR is mainly affected by four major factors: vegetation type, altitude gradient, local climate type and latitude. 4. Vegetation types and altitude gradients are the two most important factors affecting the degree of vegetation’s response to climate factors. It is worth noting that when the altitude rises to 2500 m, the dominant factor for the vegetation growth changes from precipitation to air temperature in terms of hydrothermal combination in the environment. Vegetation growth in areas with relatively high altitudes is more dependent on air temperature.


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