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Bio

Bin Wang is focused on data-model-learning the complexity and simplicity of ecosystems and their digital twins to build integrative theories and models of ecosystem dynamics of a cross-scale and interdisciplinary nature. Check out his for more.

He is currently taming fine-root systems complexity (different orders and mycorrhizal fungi) to reduce Earth System Model uncertainty in E3SM Land Model (ELM) and FATES.

He is also working on terrestrial microbiome complexity and impacts on functioning (decomposition) under thermal extremes with DEMENTpy.

Models Developed/Proposed

TAM: a modelling framework of fine-root systems complexity; 

DEMENTpy: a trait-based microbiome model;

UVAFME-VOC: an individual-based forest gap model;

ABM: an aggregate-based soil model;

ECA: an equation scaling organic matter decomposition by soil enzymes:

Publications

Wang, B., McCormack, M. L., Ricciuto, D. M., Yang, X., & Iversen, C. M. (2023). Embracing fine‐root system complexity in terrestrial ecosystem modelling. Global Change Biology.

Wang, B., & Steven D. Allison. (2022) . Frontiers in Ecology and Evolution.

Wang, B., and Steven D. Allison. (2021) Drought legacies mediated by trait trade‐offs in soil microbiomes." Ecosphere e03562.

Shugart, H. H., Foster, A., Wang, B., Druckenbrod, D., Ma, J., Lerdau, M., ... & Yan, X. (2020). Gap models across micro-to mega-scales of time and space: examples of Tansley’s ecosystem concept. Forest Ecosystems, 7(1), 1-18.

Wang, B., Brewer, P. E., Shugart, H. H., Lerdau, M. T., & Allison, S. D. (2019). Soil aggregates as biogeochemical reactors and implications for soil–atmosphere exchange of greenhouse gases—A concept. Global Change Biology, 25(2), 373-385.

Wang, Bin, Herman H. Shugart, and Manuel T. Lerdau. (2019) Complexities between plants and the atmosphere. Nature Geoscience

Wang, B., Brewer, P. E., Shugart, H. H., Lerdau, M. T., & Allison, S. D. (2019). Building bottom-up aggregate-based models (ABMs) in soil systems with a view of aggregates as biogeochemical reactors. Global Change Biology, 25(8), e6-e8.

Wang, B., & Allison, S. D. (2019). Emergent properties of organic matter decomposition by soil enzymes. Soil Biology and Biochemistry, 136, 107522.

Wang, B., Shuman, J., Shugart, H. H., & Lerdau, M. T. (2018). Biodiversity matters in feedbacks between climate change and air quality: a study using an individual‐based model. Ecological Applications, 28(5), 1223-1231.

Shugart, H. H., Wang, B., Fischer, R., Ma, J., Fang, J., Yan, X., ... & Armstrong, A. H. (2018). Gap models and their individual-based relatives in the assessment of the consequences of global change. Environmental Research Letters, 13(3), 033001.

Yan, H., Wang, S.-Q., Yu, K.-L., Wang, B.,Yu, Q., Bohrer, G., . . . Shugart, H. H. (2017). A novel diffuse fraction-based two-leaf light use efficiency model: An application quantifying photosynthetic seasonality across 20 AmeriFlux flux tower sites. Journal of Advances in Modeling Earth Systems, 9, 2317–2332.

Wang, B., Lerdau, M., & He, Y. (2017). Widespread production of nonmicrobial greenhouse gases in soils. Global Change Biology, 23(11), 4472-4482.

He, Y., Huang, J., Shugart, H. H., Guan, X., Wang, B., & Yu, K. (2017). Unexpected evergreen expansion in the Siberian forest under warming hiatus. Journal of Climate, 30, 5021-5039.

Wang, B., Shugart, H. H., & Lerdau, M. T. (2017). An individual-based model of forest volatile organic compound emissions—UVAFME-VOC v1. 0. Ecological Modelling, 350, 69-78.

Wang, B., Shugart, H. H., & Lerdau, M. T. (2017). Sensitivity of global greenhouse gas budgets to tropospheric ozone pollution mediated by the biosphere. Environmental Research Letters, 12(8), 084001.

Wang, B., Shugart, H. H., Shuman, J. K., & Lerdau, M. T. (2016). Forests and ozone: Productivity, carbon storage and feedbacks. Scientific Reports, 6(1), 1-7. (Featured in )