Comparison of Antelope Jackrabbit (Lepus alleni) Densities on Two Grassland Types

2020 ◽  
Vol 49 (1) ◽  
Author(s):  
Maria M. Altemus ◽  
Randall D. Babb ◽  
David E. Brown ◽  
Jason M. Myrand ◽  
Aletris M. Neils ◽  
...  
Keyword(s):  
Grassland Types

Classification of Grassland Types by MODIS Time-Series Images in Tibet, China

2010 ◽  
Vol 3 (3) ◽  
pp. 404-409 ◽  
Author(s):  
Qingke Wen ◽  
Zengxiang Zhang ◽  
Shuo Liu ◽  
Xiao Wang ◽  
Chen Wang
Keyword(s):  
Time Series ◽  
Time Series Images ◽  
Grassland Types

Carbon fluxes and environmental controls across different alpine grassland types on the Tibetan Plateau

2021 ◽  
Vol 311 ◽  
pp. 108694
Author(s):  
Yuyang Wang ◽  
Jingfeng Xiao ◽  
Yaoming Ma ◽  
Yiqi Luo ◽  
Zeyong Hu ◽  
...  
Keyword(s):  
Tibetan Plateau ◽  
Carbon Fluxes ◽  
Alpine Grassland ◽  
The Tibetan Plateau ◽  
Environmental Controls ◽  
Grassland Types

Changing patterns of basic household consumption in the Inner Mongolian grasslands: a case study of policy-oriented adoptive changes in the use of grasslands

2014 ◽  
Vol 36 (5) ◽  
pp. 505 ◽  
Author(s):  
B. Du ◽  
L. Zhen ◽  
R. de Groot ◽  
C. E. Goulden ◽  
X. Long ◽  
...  
Keyword(s):  
Tap Water ◽  
Household Consumption ◽  
Consumption Patterns ◽  
Consumption Pattern ◽  
Meadow Steppe ◽  
Domestic Water ◽  
Grassland Ecosystems ◽  
Major Energy Source ◽  
Inner Mongolia Autonomous Region ◽  
Grassland Types

Grassland ecosystems, as the basic natural resources in the Inner Mongolia Autonomous Region, are becoming increasingly sensitive to human intervention, leading to deterioration in fragile ecosystems. The goal of this study was to describe the restoration policy-oriented adoptive changes to basic household consumption patterns of food, fuel, and water, and their spatial distribution by grassland types in the region. Basic household consumption data were collected in the meadow steppe (Hulun Buir), typical steppe (Xilin Gol), and semi-desert steppe (Ordos) ecosystems using structured questionnaires administered to 209 herders and farmers. In 2010, the householders’ intake comprised a low amount of agri-crops, including staple foods, vegetables and fruit with a high amount of meat, which still dominated the patterns of food consumption. However, the number of households preferring this pattern is decreasing and higher amounts of agri-crop and lower amounts of meat consumption pattern is increasing. From 1995 to 2010, fuel consumption patterns changed from being dominated by bio-fuels (dung) to being dominated mainly by electricity and gas. However, bio-fuel remains a major energy source for daily life in the meadow steppe ecosystem. In all three surveyed grassland types, the use of coal, electricity and gas increased from 1995 to 2010. The source of domestic water in all three surveyed areas is from groundwater, with an increasing trend to use tap water from a public supply rather than from privately owned wells.

scholarly journals Patterns of soil respiration and its temperature sensitivity in grassland ecosystems across China

2018 ◽  
Vol 15 (17) ◽  
pp. 5329-5341 ◽  
Author(s):  
Jiguang Feng ◽  
Jingsheng Wang ◽  
Yanjun Song ◽  
Biao Zhu
Keyword(s):  
Soil Respiration ◽  
Soil Temperature ◽  
Temperature Sensitivity ◽  
Annual Precipitation ◽  
Mean Annual Precipitation ◽  
Mean Annual Temperature ◽  
Organic Carbon Content ◽  
Alpine Grasslands ◽  
Q10 Values ◽  
Grassland Types

Abstract. Soil respiration (Rs), a key process in the terrestrial carbon cycle, is very sensitive to climate change. In this study, we synthesized 54 measurements of annual Rs and 171 estimates of Q10 value (the temperature sensitivity of soil respiration) in grasslands across China. We quantitatively analyzed their spatial patterns and controlling factors in five grassland types, including temperate typical steppe, temperate meadow steppe, temperate desert steppe, alpine grassland, and warm, tropical grassland. Results showed that the mean (±SE) annual Rs was 582.0±57.9 g C m−2 yr−1 across Chinese grasslands. Annual Rs significantly differed among grassland types, and was positively correlated with mean annual temperature, mean annual precipitation, soil temperature, soil moisture, soil organic carbon content, and aboveground biomass, but negatively correlated with soil pH (p<0.05). Among these factors, mean annual precipitation was the primary factor controlling the variation of annual Rs among grassland types. Based on the overall data across Chinese grasslands, the Q10 values ranged from 1.03 to 8.13, with a mean (±SE) of 2.60±0.08. Moreover, the Q10 values varied largely within and among grassland types and soil temperature measurement depths. Among grassland types, the highest Q10 derived by soil temperature at a depth of 5 cm occurred in alpine grasslands. In addition, the seasonal variation of soil respiration in Chinese grasslands generally cannot be explained well by soil temperature using the van't Hoff equation. Overall, our findings suggest that the combined factors of soil temperature and moisture would better predict soil respiration in arid and semi-arid regions, highlight the importance of precipitation in controlling soil respiration in grasslands, and imply that alpine grasslands in China might release more carbon dioxide to the atmosphere under climate warming.

Influence of density on the seasonal utilization of broad grassland types by white rhinoceroses

2006 ◽  
Vol 41 (2) ◽  
pp. 312-315 ◽  
Author(s):  
Adrian M. Shrader ◽  
Michael R. Perrin
Keyword(s):  
Grassland Types
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