Naiqing Pan
Title
Cited by
Cited by
Year
Increasing global vegetation browning hidden in overall vegetation greening: Insights from time-varying trends
N Pan, X Feng, B Fu, S Wang, F Ji, S Pan
Remote Sensing of Environment 214, 59-72, 2018
772018
Integrated studies of physical geography in China: Review and prospects
B Fu, N Pan
Journal of Geographical Sciences 26 (7), 771-790, 2016
222016
Determining spatio-temporal variations of ecological water consumption by natural oases for sustainable water resources allocation in a hyper-arid endorheic basin
G Gao, Q Shen, Y Zhang, N Pan, Y Ma, X Jiang, B Fu
Journal of Cleaner Production 185, 1-13, 2018
122018
Evaluating the best evaporation estimate model for free water surface evaporation in hyper-arid regions: a case study in the Ejina basin, northwest China
Z Li, N Pan, Y He, Q Zhang
Environmental Earth Sciences 75 (4), 295, 2016
112016
Vegetation dynamic trends and the main drivers detected using the ensemble empirical mode decomposition method in East Africa
F Wei, S Wang, B Fu, N Pan, X Feng, W Zhao, C Wang
Land Degradation & Development 29 (8), 2542-2553, 2018
92018
Analysis and application of drought characteristics based on run theory and Copula function
X Wang, Y Zhang, X Feng, Y Feng, Y Xue, N Pan
Transactions of the Chinese Society of Agricultural Engineering 33 (10), 206-214, 2017
92017
Evaluation of global terrestrial evapotranspiration using state-of-the-art approaches in remote sensing, machine learning and land surface modeling
S Pan, N Pan, H Tian, P Friedlingstein, S Sitch, H Shi, VK Arora, V Haverd, ...
Hydrology and Earth System Sciences 24 (3), 1485-1509, 2020
62020
Growth stage-dependent responses of carbon fixation process of alpine grasslands to climate change over the Tibetan Plateau, China
Y You, S Wang, N Pan, Y Ma, W Liu
Agricultural and Forest Meteorology 291, 108085, 2020
12020
Satellite observations of forest resilience to hurricanes along the northern Gulf of Mexico
C Gang, S Pan, H Tian, Z Wang, R Xu, Z Bian, N Pan, Y Yao, H Shi
Forest Ecology and Management 472, 118243, 2020
12020
Nonlinear dynamics of fires in Africa over recent decades controlled by precipitation
F Wei, S Wang, B Fu, M Brandt, N Pan, C Wang, R Fensholt
Global Change Biology, 2020
12020
Increased global nitrous oxide emissions from streams and rivers in the Anthropocene
Y Yao, H Tian, H Shi, S Pan, R Xu, N Pan, JG Canadell
Nature Climate Change 10 (2), 138-142, 2020
12020
Potential Impacts of international food trade on global agricultural greenhouse gas emissions under climate change
H Tian, A Gurgel, H Shi, X Li, N Pan, S Pan, X Gao, AP Sokolov, JM Reilly
AGU Fall Meeting 2020, 2020
2020
A comprehensive quantification of global nitrous oxide sources and sinks
H Tian, R Xu, JG Canadell, RL Thompson, W Winiwarter, ...
Nature 586 (7828), 248-256, 2020
2020
Impacts of Land Conversion on Soil Organic Carbon and Nitrogen Stock: Magnitude and Uncertainties
C Gang, H Tian, S Pan, H Shi, Z Wang, Y Yao, Z Bian, N Pan, R Xu
AGUFM 2019, B13L-2470, 2019
2019
Increased nitrous oxide emissions in East Asia as estimated by bottom-up and top-down approaches
N Pan, H Tian, R Xu, S Pan, R Thompson, JG Canadell, RB Jackson, ...
AGUFM 2019, B13L-2471, 2019
2019
The magnitude, trend and drivers of the global nitrous oxide budget: a new assessment
H Tian, R Thompson, R Xu, JG Canadell, EA Davidson, P Ciais, ...
AGUFM 2019, B34D-03, 2019
2019
Contemporary responses of terrestrial net primary productivity, evapotranspiration and water use efficiency to multiple environmental changes in the southern United States …
S Pan, H Tian, N Pan, R Xu
2019 ESA Annual Meeting (August 11--16), 2019
2019
Time-varying trends of global vegetation activity
N Pan, X Feng, B Fu
AGUFM 2016, GC13G-1259, 2016
2016
The global nitrous oxide budget: A comprehensive assessment through harnessing extensive data and bottom-up (BU)/top-down (TD) framework
H Tian, R Xu, J Canadell, R Thompson, W Winiwarter, P Suntharalingam, ...
2020 ESA Annual Meeting (August 3-6), 0
Integration of state-of-the-art approaches in remote sensing, machine learning, and land surface models to evaluate global terrestrial evapotranspiration
S Pan, N Pan, H Tian, P Friedlingstein, S Sitch, H Shi, V Arora, V Haverd, ...
2020 ESA Annual Meeting (August 3-6), 0
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Articles 1–20