Rare and endangered soils in the Taihang Mountain region, North China

2019 ◽  
Vol 30 (14) ◽  
pp. 1739-1750
Author(s):  
Tonggang Fu ◽  
Lipu Han ◽  
Hui Gao ◽  
Hongzhu Liang ◽  
Jintong Liu
Keyword(s):  
North China ◽  
Mountain Region ◽  
Rare And Endangered ◽  
Taihang Mountain

scholarly journals The Taihang Mountain Region of North China is Experiencing A Significant Warming Trend

2021 ◽  
Vol 13 (2) ◽  
pp. 856
Author(s):  
Tonggang Fu ◽  
Hongzhu Liang ◽  
Hui Gao ◽  
Jintong Liu
Keyword(s):  
North China ◽  
Temporal Trends ◽  
Surface Air Temperature ◽  
Kendall Test ◽  
Warming Trend ◽  
Mountain Region ◽  
Mountainous Regions ◽  
Z Value ◽  
Earth’S Climate ◽  
Taihang Mountain

The Earth’s climate has warmed by approximately 0.6 °C over the last century, but temperature change in the Taihang Mountain region—an important transition zone in North China which functions as an ecological barrier for Beijing, Tianjin, and other big cities—is still unknown. In this study, we analyze the spatial and temporal trends in the average annual and seasonal surface air temperature in the Taihang Mountain region from 1968 to 2017. The effect of elevation, longitude, latitude, percent forestland, percent farmland, and gross domestic product (GDP) on temperature was also determined. Our results show that the Taihang Mountain has warmed by 0.3 °C/decade over the past five decades. Partitioned seasonally, average warming was 0.38, 0.14, 0.21, and 0.47 °C/decade in spring, summer, fall, and winter, respectively. Elevation and latitude were significantly negatively correlated with temperature but had no correlation with the temporal warming trend (i.e., the Z value from a Mann–Kendall test). The Z value was significantly negatively correlated with percent forestland and positively correlated with GDP, indicating that economic development has induced warming, but afforestation may reduce the rate of warming increase. Together, our results provide important insights into the rates and drivers of climate change within mountainous regions.

Geostatistical analysis of pedodiversity in Taihang Mountain region in North China

Geoderma ◽  
2018 ◽  
Vol 328 ◽  
pp. 91-99 ◽  
Author(s):  
Tonggang Fu ◽  
Lipu Han ◽  
Hui Gao ◽  
Hongzhu Liang ◽  
Jintong Liu
Keyword(s):  
North China ◽  
Geostatistical Analysis ◽  
Mountain Region ◽  
Taihang Mountain

Precipitation-runoff processes in Shimen hillslope micro-catchment of Taihang Mountain, north China

2011 ◽  
Vol 26 (9) ◽  
pp. 1332-1341 ◽  
Author(s):  
Shumin Han ◽  
Yonghui Yang ◽  
Tong Fan ◽  
Dengpan Xiao ◽  
Juana Paul Moiwo
Keyword(s):  
North China ◽  
Taihang Mountain

scholarly journals Winter Soil CO2 Flux from Different Mid-Latitude Sites from Middle Taihang Mountain in North China

PLoS ONE ◽  
2014 ◽  
Vol 9 (3) ◽  
pp. e91589 ◽  
Author(s):  
Huitao Shen ◽  
Jiansheng Cao ◽  
Wanjun Zhang ◽  
Xinhua Zeng ◽  
Huaru Wang
Keyword(s):  
North China ◽  
Co2 Flux ◽  
Soil Co2 ◽  
Soil Co2 Flux ◽  
Taihang Mountain

Changes in vegetation–environment relationships over long-term natural restoration process in Middle Taihang Mountain of North China

2012 ◽  
Vol 49 ◽  
pp. 193-200 ◽  
Author(s):  
Xiuping Liu ◽  
Wanjun Zhang ◽  
Fan Yang ◽  
Xia Zhou ◽  
Zhijun Liu ◽  
...  
Keyword(s):  
North China ◽  
Restoration Process ◽  
Natural Restoration ◽  
Taihang Mountain

Groundwater Hydrograph Patterns in North China Plain during 1982-1986 Interpreted Using Principal Component Analysis

2011 ◽  
Vol 356-360 ◽  
pp. 2320-2324
Author(s):  
Rui Gang Zhang
Keyword(s):  
Principal Component Analysis ◽  
North China Plain ◽  
North China ◽  
Seasonal Fluctuation ◽  
Principal Component ◽  
Component Analysis ◽  
Analysis Method ◽  
Seasonal Fluctuations ◽  
Increasing Trend ◽  
Taihang Mountain

The groundwater table depths from 1982 to 1986 of 58 unconfined wells in North China Plain(NCP) were analyzed using principal component analysis method. Results showed there were mainly three hydrograph patterns over the area: increasing trend with steady moderate seasonal fluctuations in Taihang Mountain piedmont area; decreasing trend with large seasonal fluctuation magnitudes in central plain of NCP; increasing-decreasing trend with large variance of fluctuation magnitude in piedmont of Yan Mountain piedmont.The distribution of precipitation, irrigating abstraction, and water table depths were the main factors determining the hydrograph patterns and their distribution.

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