Linyu Xu

Prof. Linyu Xu

School of Environment, Beijing Normal University, No.19 Xinjiekouwai Street, Haidian district, Beijing 100875, China
orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

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

Representative Publications

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5 March 2020 in Nature Communications
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YDYue Dong
Yue Dong
Linyu XuLinyu Xu
Linyu Xu
ZYZhifeng Yang
Zhifeng Yang
HZHanzhong Zheng
Hanzhong Zheng
LCLei Chen
Lei Chen
Human activities reshape the global nitrogen (N) cycle and affect environment and human health through reactive nitrogen (Nr) loss during production and consumption. In urbanized regions, the N cycle is greatly mediated by complex interactions between human and natural factors. However, the variations in sources, magnitude, spatiotemporal patterns and drivers of Nr flows remain unclear. Here we show by model simulations, anthropogenic perturbations not only intensify Nr input to sustain increasing demands for production and consumption in Guangzhou city, China, but also greatly change the Nr distribution pattern in the urban system, showing a substantial Nr enrichment in the atmosphere and a relatively low retention capacity of Nr in the terrestrial system. Our results highlight the strong anthropogenic effect of urban systems on the N cycle to suggest sustainable human activity changes to harmonize the relationship between Nr behaviors and human drivers.

1 August 2009 in Journal of Environmental Management
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Journal Article
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Linyu XuLinyu Xu
Linyu Xu
GLGuiyou Liu
Guiyou Liu

1 February 2015 in Frontiers of Environmental Science & Engineering
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Linyu XuLinyu Xu
Linyu Xu
Bing YuBing Yu
Bing Yu
YLYang Li
Yang Li

2 September 2013 in Entropy
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Linyu XuLinyu Xu
Linyu Xu
ZLZhaoxue Li
Zhaoxue Li
HSHuimin Song
Huimin Song
HYHao Yin
Hao Yin
In recent years, changes in land use resulting from rapid urbanization or urban sprawl have brought about many negative effects to land ecosystems, and have led to entropy increases. This study introduces the novel ideas of a planning regulation coefficient for sustainable land-use planning in order to decrease entropy, combined with the CLUE-S model to predict land-use change. Three scenarios were designed as the basis for land-use projections for Guangzhou, China, in 2015, and the changes in the land ecological service function for each scenario were predicted. The results show that, although the current land-use plan is quite reasonable, it will be necessary to further strengthen the protection of farmland and important ecological service function areas.

1 July 2018 in Science of The Total Environment
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Journal Article
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HYHao Yin
Hao Yin
MPMassimo Pizzol
Massimo Pizzol
JJJette Bredahl Jacobsen
Jette Bredahl Jacobsen
Linyu XuLinyu Xu
Linyu Xu