Xiaofeng Xu

Abramoff, Rose Z., et al. “Improved Global-Scale Predictions of Soil Carbon Stocks With Millennial Version 2”. Soil Biology and Biochemistry, vol. 164, 2022, p. 108466, https://doi.org/10.1016/j.soilbio.2021.108466.

Wang, Yihui, et al. “Mechanistic Modeling of Microtopographic Impacts on Carbon Dioxide and Methane Fluxes in an Alaskan Tundra Ecosystem Using the CLM‐Microbe Model”. Journal of Advances in Modeling Earth Systems, vol. 11, 2019, p. 17, https://doi.org/10.1029/2019MS001771.

Gu, Xueying, et al. “Saturated Nitrous Oxide Emission Rates Occur above the Nitrogen Deposition Level Predicted for the Semi-Arid Grasslands of Inner Mongolia, China”. Geoderma, vol. 341, 2019, pp. 18-25, https://doi.org/10.1016/j.geoderma.2019.01.002.

Xu, Xiaofeng, et al. “Global Pattern and Controls of Soil Microbial Metabolic Quotient”. Ecological Monographs, vol. 87, no. 3, 2017, pp. 429-41, https://doi.org/10.1002/ecm.1258.

Tang, Guoping, et al. “Addressing Numerical Challenges in Introducing a Reactive Transport Code into a Land Surface Model: A Biogeochemical Modeling Proof-of-Concept With CLM–PFLOTRAN 1.0”. Geoscientific Model Development, vol. 9, no. 3, 2016, pp. 927-46, https://doi.org/10.5194/gmd-9-927-2016.

Tang, Guoping, et al. “Biogeochemical Model of Carbon Dioxide and Methane Production in Anoxic Arctic Soil Microcosms”. Biogeosciences Discussions, 2016, pp. 1-31, https://doi.org/10.5194/bg-2016-20710.5194/bg-2016-207-supplement10.5194/bg-2016-207-RC110.5194/bg-2016-207-RC210.5194/bg-2016-207-RC310.5194/bg-2016-207-AC110.5194/bg-2016-207-AC2.

Xu, Xiaofeng, et al. “Reviews and Syntheses: Four Decades of Modeling Methane Cycling in Terrestrial Ecosystems”. Biogeosciences, vol. 13, no. 12, 2016, pp. 3735-5, https://doi.org/10.5194/bg-13-3735-2016.

Xu, Xiaofeng, et al. “A Microbial Functional Group-Based Module for Simulating Methane Production and Consumption: Application to an Incubated Permafrost Soil”. Journal of Geophysical Research: Biogeosciences, vol. 120, no. 7, 2015, pp. 1315-33, https://doi.org/10.1002/2015JG002935.

Wullschleger, Stan D., et al. “Plant Functional Types in Earth System Models: Past Experiences and Future Directions for Application of Dynamic Vegetation Models in High-Latitude Ecosystems”. Annals of Botany, vol. 114, no. 1, 2014, pp. 1-16, https://doi.org/10.1093/aob/mcu077.