Linear objects impact on grassland degradation in the typical steppe region of China

Author(s):  
Suying Li ◽  
Peter H. Verburg ◽  
Shihai Lv ◽  
Shangyu Gao ◽  
Jingle Wu

2019 ◽  
Vol 12 (2) ◽  
pp. 294-302
Author(s):  
Min Yan ◽  
Hejun Zuo ◽  
Haibing Wang ◽  
Zhi Dong ◽  
Gangtie Li


2020 ◽  
Vol 117 ◽  
pp. 106508
Author(s):  
Xin Lyu ◽  
Xiaobing Li ◽  
Huashun Dou ◽  
Dongliang Dang ◽  
Shengkun Li ◽  
...  


2013 ◽  
Vol 772 ◽  
pp. 855-857 ◽  
Author(s):  
En Wu ◽  
Li Hua Bai ◽  
Li Xia Cao

This study compared the arbuscular mycorrhizal symbiosis of Leymus chinensis between meadow steppe and typical steppe in the West Ujimqin banner. Mycorrhizal colonization rate and number of rhizosphere spore of L. chinensis decreased from light to heavy grassland degradation in the both of steppes. The mycorrhizal colonization rate and rhizosphere spore number of L. chinensis decreased significantly at moderate-heavy degradation stages in meadow steppe, and the typical steppe occurred in light-moderate degradation stages. These results indicated that the mycorrhizal symbiotic patience of L. chinensis in typical steppe is lower than that of meadow steppe.





2016 ◽  
Vol 5 (0) ◽  
pp. 12
Author(s):  
Haimei Wang ◽  
Zhenghai Li ◽  
Guodong Han


2008 ◽  
Vol 53 (9) ◽  
pp. 1423-1430 ◽  
Author(s):  
YongQing Qi ◽  
JiYuan Liu ◽  
HuaDing Shi ◽  
YunFeng Hu ◽  
DaFang Zhuang


2017 ◽  
Author(s):  
Jie Qin ◽  
Guodong Han ◽  
Zhongwu Wang ◽  
Linxi Hu ◽  
Jun Zhang

Backgroung: With the implementation of the Household Production Responsibility System in China almost 30 years ago, obvious spatial heterogeneity has developed over rangeland. Methods: We examined lifeform functional groups over 5 years on household ranches in different grazing utilization rate (30%-95%) ecosystems in Inner Mongolia to identify the early warning indicators of grassland degradation. Results: The results showed that a similar grassland utilization threshold occurred in different types of steppe, with 78-89% utilization for meadow steppe, 81-89% for typical steppe and 70-85% for desert steppe. The vegetation composition above these utilization thresholds did not show obvious signs of degradation; therefore, the risk of degradation was difficult to determine. The spatial threshold (WD: L) had a value of 31.40:100 for meadow steppe, 8.53:100 for typical steppe and 42.21:100 for desert steppe. Conclusion: Land managers cannot easily determine the risk of degeneration according to the vegetation composition or function group. So the spatial threshold is important for implemented strategies to prevent degradation, and our study provides new insights to improve the management and restoration of degraded grassland in Inner Mongolia.



2020 ◽  
Author(s):  
Xin Lyu

<p>While researchers worldwide have spent much effort on quantitatively evaluating organic carbon at the regional scale, few studies have examined organic carbon pools at different levels, or their driving factors. Comprehensive analysis in this field would facilitate a deeper understanding of carbon pool mechanisms and lay a foundation for future work. In this study, the improved Terrestrial Ecosystem Regional (TECO-R) model was modified and parameters were calibrated for local application. The vegetation, litter, soil, and ecosystem carbon pools in the Xilingol typical steppe region of Inner Mongolia, China were quantitatively modeled for the 2011–2018 period. The organic carbon pools at different levels were compared and analyzed in terms of their spatial distribution, inter-annual variation, and climate-driving factors. Overall, the modified TECO-R model accurately simulated carbon storage, revealing that the various organic carbon pools increased overall and were characterized by different degrees of clustering in their spatial distribution, inter-annual variation, and climate-driving factors. Clear formation mechanisms were observed in the soil, litter, and root carbon pools. As the soil depth increased, the carbon stock of the root carbon pool and the soil carbon pool decreased. Climate factors exerted different degrees of constraints on each carbon pool. Integrated studies, such as this, promote understanding of the compositional differences in grassland carbon pools and the driving mechanism for these carbon pools, which, taken together, can help shape the policy for carbon sink management in grasslands.</p>



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