scholarly journals Grazing Intensity on Vegetation Dynamics of a Typical Steppe in Northeast Inner Mongolia

2009 ◽  
Vol 62 (4) ◽  
pp. 328-336 ◽  
Author(s):  
Yan Liang ◽  
Guodong Han ◽  
He Zhou ◽  
Mengli Zhao ◽  
Hennie A. Snyman ◽  
...  
Keyword(s):  
Vegetation Dynamics ◽  
Inner Mongolia ◽  
Grazing Intensity ◽  
Typical Steppe

scholarly journals Effects of Grazing Intensity and Environmental Factors on Species Composition and Diversity in Typical Steppe of Inner Mongolia, China

PLoS ONE ◽  
2012 ◽  
Vol 7 (12) ◽  
pp. e52180 ◽  
Author(s):  
Haiyan Ren ◽  
Philipp Schönbach ◽  
Hongwei Wan ◽  
Martin Gierus ◽  
Friedhelm Taube
Keyword(s):  
Environmental Factors ◽  
Species Composition ◽  
Inner Mongolia ◽  
Grazing Intensity ◽  
Typical Steppe

scholarly journals Grazing primarily drives the relative abundance change of C4 plants in the typical steppe grasslands across households at a regional scale

2014 ◽  
Vol 36 (6) ◽  
pp. 565 ◽  
Author(s):  
Qing Zhang ◽  
Yong Ding ◽  
Wenjing Ma ◽  
Sarula Kang ◽  
Xin Li ◽  
...  
Keyword(s):  
Relative Abundance ◽  
Inner Mongolia ◽  
Regional Scale ◽  
Grazing Intensity ◽  
C4 Plants ◽  
C3 Plants ◽  
Mean Annual Temperature ◽  
Typical Steppe ◽  
Primary Driver ◽  
Grassland Communities

Increases in temperature and grazing intensity are believed to promote the relative abundance of C4 plants in grassland communities in Inner Mongolia. However, there is a lack of understanding as to which factor is the primary driver at the household scale. The relative abundance of C4 plants in grassland communities within 32 households was monitored over a 5-year period (2008–12) in the typical steppe region of Inner Mongolia. The relationships between the mean annual temperature, grazing intensity and their combinations on the patterns of the relative abundance of C4 plants across the land managed by these households were analysed. The results showed that (1) the herbage mass of the typical steppe grassland was mainly composed of C3 plants (87%); (2) the C4 plants were more sensitive to, and can be used as indicators of, environmental changes. These C4 species included Cleistogenes squarrosa (Trin.) Keng, Chenopodium glaucum Linn. and Salsola collina Pall.; (3) both increasing temperature and grazing intensity promoted the relative abundance of C4 plants. Grazing intensity was the primary driver of the change in relative abundance of C4 plants in this region. Not only did grazing change the micro-environment of the grasslands, but also the C3 species were preferentially grazed by the livestock. Comparison of the results with previous studies on the temporal variation in the abundance of C4 plants suggests that the relative importance of grazing and climatic factors depends on the spatial scales of the studies, with climate being of greater importance at the regional rather than the household scale.

Seasonal and interannual variation in water vapor and energy exchange over a typical steppe in Inner Mongolia, China

2007 ◽  
Vol 146 (1-2) ◽  
pp. 57-69 ◽  
Author(s):  
Yanbin Hao ◽  
Yanfen Wang ◽  
Xiangzhong Huang ◽  
Xiaoyong Cui ◽  
Xiaoqi Zhou ◽  
...  
Keyword(s):  
Water Vapor ◽  
Inner Mongolia ◽  
Interannual Variation ◽  
Energy Exchange ◽  
Typical Steppe

scholarly journals Snow resisting capacity of Caragana microphylla and Achnatherum splendens in a typical steppe region of Inner Mongolia, China

2019 ◽  
Vol 12 (2) ◽  
pp. 294-302
Author(s):  
Min Yan ◽  
Hejun Zuo ◽  
Haibing Wang ◽  
Zhi Dong ◽  
Gangtie Li
Keyword(s):  
Inner Mongolia ◽  
Typical Steppe ◽  
Steppe Region ◽  
Caragana Microphylla

Spatial Analysis on the Fluctuation of Regional NPP in the Typical Steppe, in China

2012 ◽  
Vol 518-523 ◽  
pp. 5126-5129 ◽  
Author(s):  
Su Ying Li ◽  
Xiu Mei Wang ◽  
Ying Chang ◽  
Xiao Xia Wu ◽  
Qiang Fan
Keyword(s):  
Energy Efficiency ◽  
Primary Productivity ◽  
Inner Mongolia ◽  
Annual Variation ◽  
Net Primary Productivity ◽  
Average Rate ◽  
Landscape Scale ◽  
Typical Steppe ◽  
Casa Model ◽  
Grassland Productivity

Assessing the inter-annual variation of regional grassland productivity is imperative to meet the local requirements of grassland adaptive management at regional- or landscape- scale. For the semiarid grassland of Inner Mongolia, the improved CASA model, a kind of light-energy-efficiency model, was used to simulate the Net Primary Productivity (NPP) of the regional grassland. And this study further calculated the Standard Deviation (SD) and Coefficient of Variation (CV) of the regional NPP. Both of SD and CV were used to reflect the fluctuations of regional NPP in the study area among years. Approximately 1/3 of the regional NPP over the years were dramatically changed, frequently up to large amplitude by an average rate of 1 times or more.

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