scholarly journals Pixel-Level Spatiotemporal Analyses of Vegetation Fractional Coverage Variation and Its Influential Factors in a Desert Steppe: A Case Study in Inner Mongolia, China

Water ◽  
2017 ◽  
Vol 9 (7) ◽  
pp. 478 ◽  
Author(s):  
Yifan Song ◽  
Zhongxiao Guo ◽  
Yajing Lu ◽  
Denghua Yan ◽  
Zilong Liao ◽  
...  
Keyword(s):  
Inner Mongolia ◽  
Influential Factors ◽  
Desert Steppe ◽  
Fractional Coverage ◽  
Spatiotemporal Analyses ◽  
Vegetation Fractional Coverage

scholarly journals Construction of a Landscape Ecological Network for a Large-Scale Energy and Chemical Industrial Base: A Case Study of Ningdong, China

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 344
Author(s):  
Haochen Yu ◽  
Jiu Huang ◽  
Chuning Ji ◽  
Zi’ao Li
Keyword(s):  
Ecological Restoration ◽  
Large Scale ◽  
Ecological Environment ◽  
Ecological Network ◽  
High Importance ◽  
Fractional Coverage ◽  
Industrial Base ◽  
Ecological Corridors ◽  
Vegetation Fractional Coverage

A large-scale energy and chemical industry base is an important step in the promotion of the integrated and coordinated development of coal and its downstream coal-based industry. A number of large-scale energy and chemical industrial bases have been built in the Yellow River Basin that rely on its rich coal resources. However, the ecological environment is fragile in this region. Once the eco-environment is destroyed, the wildlife would lose its habitat. Therefore, this area has attracted wide attention regarding the development of the coal-based industry while also protecting the ecological environment. An ecological network could improve landscape connectivity and provide ideas for ecological restoration. This study took the Ningdong Energy and Chemical Industrial Base as a case study. Morphological spatial pattern analysis was applied to extract core patches. The connectivity of the core patches was evaluated, and then the ecological source patches were recognized. The minimum cumulative resistance model, hydrologic analysis and circuit theory were used to simulate the ecological network. Then, ecological corridors and ecological nodes were classified. The results were as follows: (1) The vegetation fractional coverage has recently been significantly improved. The area of core patches was 22,433.30 ha. In addition, 18 patches were extracted as source patches, with a total area of 9455.88 ha; (2) Fifty-eight potential ecological corridors were simulated. In addition, it was difficult to form a natural ecological corridor because of the area’s great resistance. Moreover, the connectivity was poor between the east and west; (3) A total of 52 potential ecological nodes were simulated and classified. The high-importance nodes were concentrated in the western grassland and Gobi Desert. This analysis indicated that restoration would be conducive to the ecological landscape in this area. Furthermore, five nodes with high importance but low vegetation fractional coverage should be given priority in later construction. In summary, optimizing the ecological network to achieve ecological restoration was suggested in the study area. The severe eco-environmental challenges urgently need more appropriate policy guidance in the large energy and chemical bases. Thus, the ecological restoration and ecological network construction should be combined, the effectiveness of ecological restoration could be effectively achieved, and the cost could also be reduced.

Spatial vegetation patterns as early signs of desertification: a case study of a desert steppe in Inner Mongolia, China

2010 ◽  
Vol 25 (10) ◽  
pp. 1519-1527 ◽  
Author(s):  
Yang Lin ◽  
Guodong Han ◽  
Mengli Zhao ◽  
Scott X. Chang
Keyword(s):  
Inner Mongolia ◽  
Vegetation Patterns ◽  
Desert Steppe ◽  
Early Signs

The aboveground biomass of desert steppe and its spatiotemporal variation in western Inner Mongolia

2013 ◽  
Vol 5 (3) ◽  
pp. 339
Author(s):  
Gao Tian ◽  
Xu Bin ◽  
Yang Xiu-Chun ◽  
Jin Yun-Xiang ◽  
Ma Hai-Long ◽  
...  
Keyword(s):  
Aboveground Biomass ◽  
Inner Mongolia ◽  
Spatiotemporal Variation ◽  
Desert Steppe

Effects of short-term warming and increasing precipitation on soil respiration of desert steppe of Inner Mongolia

2013 ◽  
Vol 36 (10) ◽  
pp. 1043-1053 ◽  
Author(s):  
Tao LIU ◽  
Yong-Xian ZHANG ◽  
Zhen-Zhu XU ◽  
Guang-Sheng ZHOU ◽  
Yan-Hui HOU ◽  
...  
Keyword(s):  
Soil Respiration ◽  
Inner Mongolia ◽  
Desert Steppe ◽  
Short Term ◽  
Increasing Precipitation

scholarly journals Perceived Trip Time Reliability and Its Cost in a Rail Transit Network

2021 ◽  
Vol 13 (13) ◽  
pp. 7504
Author(s):  
Jie Liu ◽  
Paul Schonfeld ◽  
Jinqu Chen ◽  
Yong Yin ◽  
Qiyuan Peng
Keyword(s):  
Regression Models ◽  
Influential Factors ◽  
Rail Transit ◽  
Linear Regression Models ◽  
Transit Network ◽  
Time Index ◽  
Trip Time ◽  
Buffer Time ◽  
Transfer Times

Time reliability in a Rail Transit Network (RTN) is usually measured according to clock-based trip time, while the travel conditions such as travel comfort and convenience cannot be reflected by clock-based trip time. Here, the crowding level of trains, seat availability, and transfer times are considered to compute passengers’ Perceived Trip Time (PTT). Compared with the average PTT, the extra PTT needed for arriving reliably, which equals the 95th percentile PTT minus the average PTT, is converted into the monetary cost for estimating Perceived Time Reliability Cost (PTRC). The ratio of extra PTT needed for arriving reliably to the average PTT referring to the buffer time index is proposed to measure Perceived Time Reliability (PTR). To overcome the difficulty of obtaining passengers’ PTT who travel among rail transit modes, a Monte Carlo simulation is applied to generated passengers’ PTT for computing PTR and PTRC. A case study of Chengdu’s RTN shows that the proposed metrics and method measure the PTR and PTRC in an RTN effectively. PTTR, PTRC, and influential factors have significant linear relations among them, and the obtained linear regression models among them can guide passengers to travel reliably.

scholarly journals How Do Trade-Offs and Synergies between Ecosystem Services Change in the Long Period? The Case Study of Uxin, Inner Mongolia, China

2019 ◽  
Vol 11 (21) ◽  
pp. 6041 ◽  
Author(s):  
Zhang ◽  
Li ◽  
Buyantuev ◽  
Bao ◽  
Zhang
Keyword(s):  
Ecosystem Services ◽  
Inner Mongolia ◽  
Stepwise Regression ◽  
Driving Forces ◽  
Extended Period ◽  
Trade Offs ◽  
Development And Utilization ◽  
Long Term Trends

Ecosystem services management should often expect to deal with non-linearities due to trade-offs and synergies between ecosystem services (ES). Therefore, it is important to analyze long-term trends in ES development and utilization to understand their responses to climate change and intensification of human activities. In this paper, the region of Uxin in Inner Mongolia, China, was chosen as a case study area to describe the spatial distribution and trends of 5 ES indicators. Changes in relationships between ES and driving forces of dynamics of ES relationships were analyzed for the period 1979–2016 using a stepwise regression. We found that: the magnitude and directions in ES relationships changed during this extended period; those changes are influenced by climate factors, land use change, technological progress, and population growth.

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