Lu, Xuehe
Member Profile
Center for Ecosystem Science and Society (Ecoss)
Northern Arizona University
P.O. Box 5620
Flagstaff, AZ 86011
Phone: (928) 523-5057
E-mail: luxh@nju.edu.cn; luxh43@gmail.com
Education
Doctor of Philosophy: Cartography and GIS, 2010-2014 Nanjing University, China
Master of Science: Forest management, 2006-2009, Nanjing Forest Univers, China
Bachelor of Science: GIS, 2002-2006, Nanjing Forest University, China
Professional Experience
2014/04 - , Assistant Professor, International Institute for Earth System Science, Nanjing University, China
Research Interests
Simulating nitrogen deposition effects on global terrestrial ecosystem carbon, nitrogen and water cycle by process based ecosystem model.
Retrieving vegetation biochemical parameters such as Vcmax, chlorophyll and Rubisco from remote sensing data
Estimating regional and global N deposition by site observation and remote sensing.
Developing mathematical and computational techniques to improve the predictability of ecosystem models.
Grants
Simulation of Vegetation Photosynthetic Rate Based on Chlorophyll Remote Sensing (41871334), National Natural Science Foundation of China, National Natural Science Foundation of China, 2019-2022,PI
Evaluating the effects of nitrogen deposition on carbon budget in China using remote sensing and model simulation (41501212), the Young Scientists Fund of the National Natural Science Foundation of China, 2016-2018, PI
Assimilating remote sensing surface products to the Ecosystem Model (2016YFA0600202), the Key Research and Development programs for Global Change and Adaptation, 2016-2021, Attending.
Effects of nitrogen deposition on methane emissions from paddy field in the south area of China based on remote sensing techniques (41471343), National Natural Science Foundation of China, 2015-2017, Attending.
Using multi-source remote sensing monitoring atmospheric nitrogen deposition effects on the Yangtze river delta forest ecosystem net primary productivity (61190114), National Natural Science Foundation of China, 2012-2014, Attending.
Published papers
Xuehe Lu, Hong Jiang*, Jinxun Liu, et al., Simulated effects of nitrogen saturation on global carbon budget using the IBIS model, Scientific Report, 2016.
Xiuying Zhang, Xuehe Lu*, et al., Dry deposition of NO2 over China inferred from OMI columnar NO2 and atmospheric chemistry transport model, Atmospheric Environment, 2017.
Xuehe Lu, Hong Jiang*, et al., The relationship between nitrogen deposition and LUCC and its impact on terrestrial ecosystem carbon budgets in China, Science China Earth Sciences, 2016,59: 1-10,
Xuehe Lu, Hong Jiang*, et al., Estimating the 40-year dynamics of nitrogen deposition in global biomes using the SCIAMACHY NO2 column, International Journal of Remote Sensing, 2016,37(20): 4964-4978
Lei Liu, Xiuying Zhang, Xuehe Lu*, The composition, seasonal variation, and potential sources of the atmospheric wet sulfur (S) and nitrogen (N) deposition in the southwest of China, Environmental Science and pollution research, 2016, 23(7): 6363-6375
Xuehe Lu, Hong Jiang*, et al., Comparing Simulated Carbon Budget of a Lei Bamboo Forest with Flux Tower Data, Terrestrial Atmospheric and Oceanic Science, 2014, 25(3): 359-368
Xuehe Lu, Hong Jiang*, et al., Estimated global nitrogen deposition using NO2 column density, International Journal of Remote Sensing, 2013, 34(24): 8893-8906.
Xiuying Zhang, Hong Jiang*, Xuehe Lu, et al., Estimate of methane release from temperate natural wetlands using ENVISAT/SCIAMACHY data in China, Atmospheric Environment, 2013, 69(1): 191-197
Miaomiao Cheng, Hong Jiang*, Zheng Guo, Xiuying Zhang, and Xuehe Lu. Estimating NO2 dry deposition using satellite data in Eastern China. International Journal of Remote Sensing, 2013, 34(7): 2548-2565.
Lei Liu, Xiuying Zhang, Shanqian Wang, Wuting Zhang, Xuehe Lu. Bulk sulfur (S) deposition in China Atmospheric Environment, 2016, 135: 41-49.
Paper in submission process
Xuehe Lu, Weimin Ju*,Hong Jiang*, et al., Effects of nitrogen deposition on water use efficiency of global terrestrial ecosystem based on IBIS model, Ecological Indicators, 2st review.