Publications

-Peer-reviewed paper (* denotes the correspondence author)

In preparation/review

24) Bin Wang et al. Towards Demography-based Integrative Ecosystem and Biosphere Modelling.

23) Bin Wang et al. An integrative framework for modelling soil microbiomes and decomposition in response to extreme disturbances.

2023

22) Bin Wang et al. 2023. Embracing fine-root system complexity in terrestrial ecosystem modelling. Global Change Biology. [GitHub]

2022

21) Bin Wang*, Steven D. Allison. Climate-driven legacies in simulated microbial communities alter litter decomposition rates (in press) [GitHub Repo]

2021

20) Siyi Wang, et al. Enhanced warming in global dryland lakes and its drivers. Remote Sensing https://doi.org/10.3390/rs14010086

19) Huan, Shugart, Wang, Lerdau. Implications of aggregation functions in functional group studies. Forests https://doi.org/10.3390/f12111560

18) Bin Wang*, Steven D. Allison. Trait-based Tradeoffs Mediating Drought Legacies in Soil Microbiomes. Ecosphere [GitHub Repo] [Top Cited Article 2021-22]

2020

17) Shugart, H.H.*, Adrianna Foster, Bin Wang, Dan Druckenbrod , Jianyong Ma, Manuel Lerdau , Sassan Saatchi , Xi Yang,  & Xiaodong Yan. Gap Models across Micro- to Mega-scales of Time and Space: Examples of Tansley’s Ecosystem Concept. Forest Ecosystems

2019

16) Bin Wang*, Herman Shugart, Manuel Lerdau. Complexities between plants and atmosphere. Nature Geoscience

15) Bin Wang*, Steven D. Allison. Emergent properties of organic matter decomposition by soil enzymes. Soil Biology and Biochemistry [DOWNLOAD w/o paywall][companion data & code with step-by-step analyses]

14) Bin Wang*, Paul Brewer, Herman H. Shugart, Manuel T. Lerdau, Steve Allison. 2019 Developing aggregate-based models (ABM) in soil systems. Global Change Biology https://doi.org/10.1111/gcb.14684

13) Bin Wang*, Paul Brewer, Herman H. Shugart, Manuel T. Lerdau, Steve Allison. 2018.  Aggregates as biogeochemical reactors and implications for soil-atmosphere exchange of greenhouse gases–a conceptGlobal Change Biology. Access the recommendation on F1000Prime [Top Download Paper 2018-2019][documentary blog]

2018

12) Bin Wang*, Jackie Shuman, Herman Shugart, Manuel Lerdau. 2018. Biodiversity matters in feedbacks between climate change and air quality: a study using an individual-based model. Ecological Applications doi:10.1002/eap.1721 [Referenced in Ch6, IPCC AR6]

–> one of the special collection on biodiversty celebrating 25 Years of Action for Biodiversity by Wiley.

11) Zhiping Wang, Lin Zhang, Bin Wang, Longyu Hou, …, Xingguo Han. 2018. Dissolved methane in groundwater of domestic wells and its potential emissions in arid and semi-arid regions of Inner Mongolia, ChinaScience of the Total Environment 623, 1193-1199

10) Herman Shugart*, Bin Wang, Andreas HuthXiaodong Yan. 2018. Gap Models and their Individual-Based Relatives in the Assessment of the Consequences of Global Change. Environmental Research Letters doi.org/10.1088/1748-9326/aaaacc.

2017

9) Hao Yan, Shaoqiang Wang, Kailiang Yu, Bin Wang … Herman Shugart. 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 923172332

–>This paper is highlighted by EOS, entitled ‘Improved simulation of gross primary production

8) Bin Wang*, Herman H. Shugart, Manuel T. Lerdau. 2016. Sensitivity of global greenhouse gas budgets to tropospheric ozone pollution mediated by the biosphere. Environmental Research Letters 12, 084001.

–>This paper is featured in environmentreseachweb

7) Bin Wang* Manuel Lerdau, Yongli He 2017. Widespread production of non-microbial greenhouse gases from the terrestrial ecosystems. Global Change Biology 2017, 23, 44724482

6) Yongli He, Jianping Huang, Herman Shugart, Xiaodan Guan, Jacquelyn Shuman, Bin Wang. 2017. Unexpected evergreen expansion in the Siberian forest under warming hiatus. Journal of Climate doi.org/10.1175/JCLI-D-16-0196.1

5) Bin Wang*, Herman H. Shugart, Manuel T. Lerdau. 2017. An individual-based forest VOCs emission model—UVAFME-VOC 1.0. Ecological Modelling 350, 69-78 

**This paper is one of the winners of International Society for Ecological Modelling   5th Biennial Best Young Researcher Paper Award.

2016

4) Bin Wang, Herman H. Shugart, Jacquelyn K. Shuman, Manuel T. Lerdau*. 2016. Forests and ozone: productivity, carbon storage, and feedbacks. Scientific Reports, 6, 22133 

        **Featured on SCIENCE, UVAToday, EurekAlert!, Phys.org, ScienceDaily, etc.

2013

3). Wang B*, Hou LY, Liu W, Wang ZP. 2013. Non-microbial methane emissions from soils. Atmospheric Environment 80, 290-298.

2). Wang ZP*, Han XG, Chang SX, Wang B, Yu Q, Hou LY, Li LH. 2013. Soil organic and inorganic carbon contents under various land uses across a transect of continental steppes in Inner Mongolia. Catena 109, 110-117

2012

1). Hou LY, Wang ZP*, Wang JM, Wang B, Zhou SB, Li LH. 2012. Growing season in situ uptake of atmospheric methane by desert soils in a semiarid region of northern China. Geoderma 189-190, 415-422

-Book chapter

1). Smith, D.E., S.A. Roe, B. Wang and H.H. Shugart. 2017. Modeling Natural Processes to Inform Sustainable Development of the World — The Example of Forests. Pages: 227-239[Polish]; 240-252[Italian];253-265[English]. In: J. Szyszko, G.K. Müller, W. Chrostowski, Z. Klafka and M. Bodzenta (eds.).  Sustainable Development in the Context of Laudato Sí. Poligrafia Redemptorystów, Wysoka. 686 pages.