Bin Wang is focused on data-model-learning the complexity and simplicity of ecosystems and their digital twins to build an integrative theory of ecosystem dynamics of a cross-scale and interdisciplinary nature. Check out his website 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.
TAM: a modelling framework of fine-root systems complexity; https://github.com/bioatmosphere/TAM
DEMENTpy: a trait-based microbiome model; https://github.com/bioatmosphere/DEMENTpy
UVAFME-VOC: an individual-based forest gap model; https://github.com/bioatmosphere/UVAFME-VOC
ABM: an aggregate-based soil model; https://doi.org/10.1111/gcb.14684
ECA: an equation scaling organic matter decomposition by soil enzymes:https://github.com/bioatmosphere/An_emergent_soil_enzyme_decomposition_…
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.https://doi.org/10.1111/gcb.16659
Wang, B., & Steven D. Allison. (2022) Climate-driven legacies in simulated microbial communities alter litter decomposition rates. Frontiers in Ecology and Evolution.
Wang, Bin, 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 https://doi.org/10.1038/s41561-019-0413-8
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.