Xingjie Lu is interested in studying ecosystem C cycle responses to climate change using compartment models. He focuses on understanding the response in traceable components of C cycle models, such as residence time and productivity. He also engaged in cutting-edge developments of trait-based terrestrial ecosystem models, trying to incorporate plant trait database into terrestrial ecosystem models.
Wang, Ying-Ping, Xingjie Lu, Ian J. Wright, Yongjiu Dai, Peter J. Rayner, and P. B. Reich (2012), Correlations among leaf traits provide a significant constraint on the estimate of global gross primary production, Geophys. Res. Lett., 39, L19405, doi:10.1029/2012GL053461.
Lu, Xingjie, Ying-Ping Wang, Tilo Ziehn, Yongjiu Dai (2013), An efficient method for global parameter sensitivity analysis and its applications to the Australian community land surface model (CABLE), Agricultural and Forest Meteorology, 182–183, 292– 303
Reich, Peter. B., Roy L. Rich, Xingjie Lu, Ying-Ping Wang, Jacek Oleksyn (2014), Biogeographic variation in evergreen conifer needle longevity and impacts on boreal forest carbon cycle projections. Proceedings of the National Academy of Sciences. 111(38), 13703-13708.
Lu, Xingjie, Ying-Ping Wang, Ian J. Wright, Yongjiu Dai (2017), Incorporation of plant traits in a land surface model helps explain the global biogeographical distribution of major forest functional types, Global Ecology and Biogeography, 26