Lu’s Study published in Nature

Lu’s Study published in Nature revealed that Human activity makes terrestrial biosphere contribute to climate change .… [more]

EMSL nature

Century-long estimate of SOIL CARBON highlighted by DOE

DOE higlights the joint research with PNNL and twelve other unversities to improve soil carbon models .… [more]


GBC paper

Global patterns and controls of soil organic carbon dynamics as simulated by multiple terrestrial biosphere models… [more]

US Carbon Storage US Carbon Storage

NITROGEN DEPOSITION paper cited by 216 times

Dr. Lu's paper on Journal of Geophysical Research is cited by 216 times… [more]


We use a systems modeling approach to understand, quantify, and predict ecosystem processes and patterns in response to climate change, land use, land management, and atmospheric composition at multiple scales from watershed, landscape to regional, national, and global. Our research aims at exploring the underlying mechanisms controlling integrated biogeochemical and hydrological cycles in a coupled human-natural system, and mimicking them through process-based ecosystem modeling. Our work involves mathematic modeling, large-scale data development, data-model integration, geospatial and statistical analysis. Overall, it can serve as a powerful tool for assessing the provision of ecosystem goods and service, and identifying better management practices and mitigation options for a sustainable earth. Our current research activities include:

Ecosystem model development and improvement

Use modeling approach to scale up plot-level field observation to watershed, landscape, regional and global, improve model representation of key biogeochemical and hydrological processes through data-model fusion.

Modeling of belowground processes

Identify belowground processes with largest uncertainty in modeling study and improve model representation of C-N coupling, and nitrogen transformation in soil.

Biogeochemical and hydrological cycling with real world practices

Apply modeling approach as a decision-support tool to identify optimized nutrient and water management options for reducing air and water pollution, mitigating climate warming, and maintaining food production.

Quantification of greenhouse gas balance

Quantify net biogenic fluxes of CO2, CH4 and N2O in terrestrial ecosystem in response to natural and anthropogenic disturbances, and assess the consequences of management practices to three gas together.

Land-aquatic linkage

Investigate how environmental changes taken place on land would affect river discharge and C and N export, and thus affect coastal productivity and water quality.