Tingxi Liu

Prof. Tingxi Liu


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2020 in Science of The Total Environment
Verified
Journal Article
Closed access
YWYixuan Wang
Yixuan Wang
LDLimin Duan
Limin Duan
TLTingxi Liu
Tingxi Liu
JLJianzhu Li
Jianzhu Li
PFPing Feng
Ping Feng

18 May 2022 in Water Resources Research
Verified
Journal Article
Closed access
BXBaolin Xue
Baolin Xue
YAYinglan A
Yinglan A
Guoqiang WangGuoqiang Wang
Guoqiang Wang
DHDavid Helman
David Helman
Ge SunGe Sun
Ge Sun
JXJingfeng Xiao
Jingfeng Xiao

29 January 2021 in Scientific Reports
Verified
Journal Article
Open access
PDF file
XHXue Hao
Xue Hao
Ruihong YuRuihong Yu
Ruihong Yu
ZZZhang Zhuangzhuang
Zhang Zhuangzhuang
QZQi Zhen
Qi Zhen
LXLu Xixi
Lu Xixi
GRGao Ruizhong
Gao Ruizhong
Greenhouse gas (GHG) emissions from rivers and lakes have been shown to significantly contribute to global carbon and nitrogen cycling. In spatiotemporal-variable and human-impacted rivers in the grassland region, simultaneous carbon dioxide, methane and nitrous oxide emissions and their relationships under the different land use types are poorly documented. This research estimated greenhouse gas (CO2, CH4, N2O) emissions in the Xilin River of Inner Mongolia of China using direct measurements from 18 field campaigns under seven land use type (such as swamp, sand land, grassland, pond, reservoir, lake, waste water) conducted in 2018. The results showed that CO2 emissions were higher in June and August, mainly affected by pH and DO. Emissions of CH4 and N2O were higher in October, which were influenced by TN and TP. According to global warming potential, CO2 emissions accounted for 63.35% of the three GHG emissions, and CH4 and N2O emissions accounted for 35.98% and 0.66% in the Xilin river, respectively. Under the influence of different degrees of human-impact, the amount of CO2 emissions in the sand land type was very high, however, CH4 emissions and N2O emissions were very high in the artificial pond and the wastewater, respectively. For natural river, the greenhouse gas emissions from the reservoir and sand land were both low. The Xilin river was observed to be a source of carbon dioxide and methane, and the lake was a sink for nitrous oxide.

18 December 2023 in Earth's Future
Verified
Journal Article
Open access
CZCaijin Zhang
Caijin Zhang
DLDi Long
Di Long
TLTingxi Liu
Tingxi Liu
LSLouise Slater
Louise Slater
Guoqiang WangGuoqiang Wang
Guoqiang Wang
YCYingjie Cui
Yingjie Cui
Greening of Northern China and the Tibetan Plateau (NCTP) has been observed by increases in the remotely sensed leaf area index (LAI), driven primarily by CO2 fertilization effects, anthropogenic warming, and the implementation of ecological restoration programs. Continued growth of LAI throughout the 21st century is also projected by the Coupled Model Intercomparison Project Phase 6 (CMIP6) scenarios. However, the question of whether local water resources can sustain ongoing grassland greening has not been adequately investigated. Here we assessed the sustainability of water resources under grassland greening across NCTP under various climate scenarios using water yield (WY, defined as precipitation minus actual evapotranspiration) as the key metric. Unexpectedly, we observe the coexistence of increases in LAI and WY in most of NCTP. In a warming climate with increasing precipitation and CO2, we find that grasses maintain high water use efficiency to sustain their growth, contributing to continued local water resource availability. Thus, livestock production may also continue to increase under the simultaneous growth of LAI and WY in the future.

9 May 2022 in Ecological Indicators
Verified
Journal Article
Open access
Xinyu LiuXinyu Liu
Xinyu Liu
XLXi Xi Lu
Xi Xi Lu
Ruihong YuRuihong Yu
Ruihong Yu
HSHeyang Sun
Heyang Sun
XLXiangwei Li
Xiangwei Li
CLChangwei Lu
Changwei Lu

7 June 2022 in Environmental Research
Verified
Journal Article
Closed access
JZJunyi Zhang
Junyi Zhang
LDLimin Duan
Limin Duan
TLTingxi Liu
Tingxi Liu
ZCZexun Chen
Zexun Chen
YWYixuan Wang
Yixuan Wang
YZYajun Zhou
Yajun Zhou