Z
Zaichun Zhu
Researcher at Peking University
Publications - 59
Citations - 9892
Zaichun Zhu is an academic researcher from Peking University. The author has contributed to research in topics: Normalized Difference Vegetation Index & Climate change. The author has an hindex of 30, co-authored 59 publications receiving 6474 citations. Previous affiliations of Zaichun Zhu include Chinese Academy of Sciences & Boston University.
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Journal ArticleDOI
Greening of the Earth and its drivers
Zaichun Zhu,Zaichun Zhu,Shilong Piao,Shilong Piao,Ranga B. Myneni,Mengtian Huang,Zhenzhong Zeng,Josep G. Canadell,Philippe Ciais,Philippe Ciais,Stephen Sitch,Pierre Friedlingstein,Almut Arneth,Chunxiang Cao,Lei Cheng,Etsushi Kato,Charles D. Koven,Yue Li,Xu Lian,Yongwen Liu,Ronggao Liu,Jiafu Mao,Yaozhong Pan,Shushi Peng,Josep Peñuelas,Benjamin Poulter,Thomas A. M. Pugh,Thomas A. M. Pugh,Benjamin D. Stocker,Benjamin D. Stocker,Nicolas Viovy,Xuhui Wang,Ying-Ping Wang,Zhiqiang Xiao,Hui Yang,Sönke Zaehle,Ning Zeng +36 more
TL;DR: In this paper, the authors used three long-term satellite leaf area index (LAI) records and ten global ecosystem models to investigate four key drivers of LAI trends during 1982-2009.
Journal ArticleDOI
Temperature increase reduces global yields of major crops in four independent estimates
Chuang Zhao,Bing Liu,Shilong Piao,Xuhui Wang,David B. Lobell,Yao Huang,Mengtian Huang,Yitong Yao,Simona Bassu,Philippe Ciais,Jean-Louis Durand,Joshua Elliott,Frank Ewert,Ivan A. Janssens,Tao Li,Erda Lin,Qiang Liu,Pierre Martre,Christoph Müller,Shushi Peng,Josep Peñuelas,Alex C. Ruane,Daniel Wallach,Tao Wang,Donghai Wu,Zhuo Liu,Yan Zhu,Zaichun Zhu,Senthold Asseng +28 more
TL;DR: Investigating the impacts of temperature on yields of the four crops by compiling extensive published results from four analytical methods consistently showed negative temperature impacts on crop yield at the global scale, generally underpinned by similar impacts at country and site scales.
Journal ArticleDOI
China and India lead in greening of the world through land-use management
Chi Chen,Taejin Park,Xuhui Wang,Shilong Piao,Baodong Xu,Baodong Xu,Rajiv Kumar Chaturvedi,Richard Fuchs,Victor Brovkin,Philippe Ciais,Rasmus Fensholt,Hans Tømmervik,Govindasamy Bala,Zaichun Zhu,Ramakrishna R. Nemani,Ranga B. Myneni +15 more
TL;DR: Using satellite data from 2000–2017, this study finds striking greening of both China and India, driven primarily by land-use change, with forest growth and cropland intensification more important in China andCropland moreimportant in India.
Journal ArticleDOI
Global Data Sets of Vegetation Leaf Area Index (LAI)3g and Fraction of Photosynthetically Active Radiation (FPAR)3g Derived from Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) for the Period 1981 to 2011
Zaichun Zhu,Jian Bi,Yaozhong Pan,Sanmay Ganguly,Alessandro Anav,Liang Xu,Arindam Samanta,Shilong Piao,Ramakrishna R. Nemani,Ranga B. Myneni +9 more
TL;DR: Long-term global data sets of vegetation Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation absorbed by vegetation (FPAR) are critical to understanding vegetation photosynthesis and its role in climate change.
Journal ArticleDOI
Recent trends and drivers of regional sources and sinks of carbon dioxide
Stephen Sitch,Pierre Friedlingstein,Nicolas Gruber,Steve D Jones,Guillermo N. Murray-Tortarolo,Anders Ahlström,Scott C. Doney,Heather Graven,Christoph Heinze,Christoph Heinze,Chris Huntingford,Samuel Levis,Peter Levy,Mark R. Lomas,Benjamin Poulter,Nicolas Viovy,Sönke Zaehle,Ning Zeng,Almut Arneth,Gordon B. Bonan,Laurent Bopp,Josep G. Canadell,Frédéric Chevallier,Philippe Ciais,Richard J. Ellis,Manuel Gloor,Philippe Peylin,S. L. Piao,C. Le Quéré,Benjamin Smith,Zaichun Zhu,Ranga B. Myneni +31 more
TL;DR: In this article, a suite of nine dynamic global vegetation models and four ocean biogeochemical general circulation models were used to estimate trends driven by global and regional climate and atmospheric CO2 in land and oceanic CO2 exchanges with the atmosphere over the period 1990-2009, to attribute these trends to underlying processes in the models, and to quantify the uncertainty and level of inter-model agreement.