scholarly journals A comparison of relative pollen productivity from forest steppe, typical steppe and desert steppe in Inner Mongolia

2016 ◽  
Vol 61 (31) ◽  
pp. 3388-3400 ◽  
Author(s):  
Fei HE ◽  
YiYin LI ◽  
Jing WU ◽  
YaoZhong XU
2019 ◽  
Vol 11 (12) ◽  
pp. 3256 ◽  
Author(s):  
Jie Yang ◽  
Zhiqiang Wan ◽  
Suld Borjigin ◽  
Dong Zhang ◽  
Yulong Yan ◽  
...  

Normalized difference vegetation index (NDVI) is commonly used to indicate vegetation density and condition. NDVI was mostly correlated with climate factors. We analyzed changing trends of NDVI in different types of grassland in Inner Mongolia and the response of NDVI to climatic variation from 1982 to 2011. NDVI of meadow steppe increased significantly in spring while it decreased in other seasons. The annual mean NDVI in typical steppe and desert steppe increased significantly in the last 30a. However, in the greatest area of steppe desert, the NDVI had no significant change in summer, autumn, and the growing season. In meadow steppe, typical steppe, and desert steppe, the area showed a positive correlation of NDVI to temperature as highest in spring compared to other seasons, because warming in spring is beneficial to the plant growth. However, in the greatest area of steppe desert, the correlation of NDVI to temperature was not significant. The NDVI was positively correlated to precipitation in four types of grassland. In the steppe desert, the precipitation had no significant effect on the NDVI due to the poor vegetation cover in this region. The NDVI was not significantly correlated to the precipitation in autumn because of vegetation withering in the season and not need precipitation. Precipitation was a more important factor rather than temperature to NDVI in the region. The response of NDVI to temperature and precipitation in different seasons should be studied in more detail and the effect of other factors on NDVI should be considered in future research.


PLoS ONE ◽  
2012 ◽  
Vol 7 (5) ◽  
pp. e36434 ◽  
Author(s):  
Nan Liu ◽  
Yingjun Zhang ◽  
Shujuan Chang ◽  
Haiming Kan ◽  
Lijun Lin

2019 ◽  
Vol 11 (23) ◽  
pp. 6559
Author(s):  
Wang ◽  
Dong ◽  
Baoyin ◽  
Bao

Grassland biomass is an essential part of the regional carbon cycle. Rapid and accurate estimation of grassland biomass is a hot topic in research on grassland ecosystems. This study was based on field-measured biomass data and satellite remote sensing data from the Moderate resolution imaging spectroradiometer (MODIS). A generalized linear model (GLM) was used to analyze the aboveground biomass (AGB), dynamic changes, and relevance of climatic factors of the typical/desert steppe in Inner Mongolia during the growing seasons from May 2009 to October 2015. The results showed that: (1) The logarithmic function model with the ratio vegetation index (RVI) as the independent variable worked best for the typical steppe area in Inner Mongolia, while the power function model with the normalized differential vegetation index (NDVI) as the independent variable worked best for the desert steppe area. The R2 values at a spatial resolution of 250 m were higher than those at a spatial resolution 500 m. (2) From 2009 to 2015, the highest values of AGB in the typical steppe and desert steppe of Inner Mongolia both appeared in 2012, and were 41.9 Tg and 7.0 Tg, respectively. The lowest values were 30.7 Tg and 5.8 Tg, respectively, in 2009. (3) The overall spatial distribution of AGB decreased from northeast to southwest. It also changed considerably over time. From May to August, AGB at the same longitude increased from south to north with seasonal variations; from August to October, it increased from north to south. (4) A variation partitioning analysis showed that in both the typical steppe and desert steppe, the combined effect of precipitation and temperature contributed the most to the aboveground biomass. The individual effect of temperature contributed more than precipitation in the typical steppe, while the individual effect of precipitation contributed more in the desert steppe. Thus, the hydrothermal dynamic hypothesis was used to explain this pattern. This study provides support for grassland husbandry management and carbon storage assessment in Inner Mongolia.


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.


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.


2013 ◽  
Vol 5 (3) ◽  
pp. 339
Author(s):  
Gao Tian ◽  
Xu Bin ◽  
Yang Xiu-Chun ◽  
Jin Yun-Xiang ◽  
Ma Hai-Long ◽  
...  

2013 ◽  
Vol 36 (10) ◽  
pp. 1043-1053 ◽  
Author(s):  
Tao LIU ◽  
Yong-Xian ZHANG ◽  
Zhen-Zhu XU ◽  
Guang-Sheng ZHOU ◽  
Yan-Hui HOU ◽  
...  

2007 ◽  
Vol 146 (1-2) ◽  
pp. 57-69 ◽  
Author(s):  
Yanbin Hao ◽  
Yanfen Wang ◽  
Xiangzhong Huang ◽  
Xiaoyong Cui ◽  
Xiaoqi Zhou ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document