Zhihua Liu

Prof. Dr. Zhihua Liu

Institute of Applied Ecology, Chinese Academy of Sciences, Beijing, China

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

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

Representative Publications

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21 October 2019 in Nature Climate Change
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Journal Article
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SNSusan M. Natali
Susan M. Natali
JWJennifer D. Watts
Jennifer D. Watts
BRBrendan M. Rogers
Brendan M. Rogers
SPStefano Potter
Stefano Potter
SLSarah M. Ludwig
Sarah M. Ludwig
DZDonatella Zona
Donatella Zona

24 January 2012 in Global Change Biology
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Journal Article
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ZLZhihua Liu
Zhihua Liu
Jian YangJian Yang
Jian Yang
YCYu Chang
Yu Chang
PWPeter J. Weisberg
Peter J. Weisberg
HHHong He
Hong He

15 January 2019 in Nature Communications
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Journal Article
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ZLZhihua Liu
Zhihua Liu
ABAshley P. Ballantyne
Ashley P. Ballantyne
LCL. Annie Cooper
L. Annie Cooper
The biophysical feedbacks of forest fire on Earth’s surface radiative budget remain uncertain at the global scale. Using satellite observations, we show that fire-induced forest loss accounts for about 15% of global forest loss, mostly in northern high latitudes. Forest fire increases surface temperature by 0.15 K (0.12 to 0.19 K) one year following fire in burned area globally. In high-latitudes, the initial positive climate-fire feedback was mainly attributed to reduced evapotranspiration and sustained for approximately 5 years. Over longer-term (> 5 years), increases in albedo dominated the surface radiative budget resulting in a net cooling effect. In tropical regions, fire had a long-term weaker warming effect mainly due to reduced evaporative cooling. Globally, biophysical feedbacks of fire-induced surface warming one year after fire are equivalent to 62% of warming due to annual fire-related CO2 emissions. Our results suggest that changes in the severity and/or frequency of fire disturbance may have strong impacts on Earth’s surface radiative budget and climate, especially at high latitudes.

1 September 2021 in Nature
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XFXiao Feng
Xiao Feng
CMCory Merow
Cory Merow
ZLZhihua Liu
Zhihua Liu
DPDaniel S. Park
Daniel S. Park
PRPatrick Roehrdanz
Patrick Roehrdanz
BEBrian J. Enquist
Brian J. Enquist

17 December 2020 in AGU Advances
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NMNima Madani
Nima Madani
NPNicholas C. Parazoo
Nicholas C. Parazoo
JKJohn S. Kimball
John S. Kimball
ABAshley P. Ballantyne
Ashley P. Ballantyne
RRRolf Reichle
Rolf Reichle
TTTorbern Tagesson
Torbern Tagesson
Satellite remote sensing observations show an increased greenness trend over land in recent decades. While greenness observations can indicate increased productivity, estimation of total annual productivity is highly dependent on vegetation response to climate and environmental conditions. Models have been struggling to determine how much carbon is taken up by plants as a result of increased atmospheric CO2 fertilization. Current remote sensing light use efficiency (LUE) models contain considerable uncertainty due to the lack of spatial and temporal variability in maximum LUE parameter and climate sensitivity defined for global plant functional types (PFTs). We used the optimum LUE (LUEopt) previously derived from the global FLUXNET network to improve estimation of global gross primary productivity (GPP) for the period 1982–2016. Our results indicate increasing GPP in northern latitudes owing to reduced cold temperature constraints on plant growth, thereby suggesting increasing negative carbon‐climate feedback in high latitudes. In the tropics, by contrast, our results indicate an emerging positive climate feedback, mainly due to increasing atmospheric vapor pressure deficit (VPD). Further pervasive VPD increase is likely to continue to reduce global GPP and amplify carbon emissions.

1 November 2013 in Forest Ecology and Management
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Journal Article
Closed access
WCWenhua Cai
Wenhua Cai
Jian YangJian Yang
Jian Yang
ZLZhihua Liu
Zhihua Liu
YHYuanman Hu
Yuanman Hu
PWPeter J. Weisberg
Peter J. Weisberg