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  • About Us
    • Department Overview
    • People
    • Administration
    • Resources
  • Undergraduate
    • Prospective Students
    • Advising
    • Courses and Facilities
    • Special Programs
    • Graduation
    • Internship and Career Exploration
    • Clubs, Associations & Social Media
  • Graduate
    • Prospective Ph.D. Students
    • Master of Science and Graduate Certificate Programs
    • About Our Ph.D. Students
    • Resources
  • Research
    • Geospatial-Information Science and Remote Sensing
    • Human Dimensions of Global Change - Coupled Human and Natural Systems
    • Land Cover - Land Use Change
    • Carbon, Vegetation Dynamics and Landscape-Scale Processes
  • GIS
    • Center for Geospatial Information Science
    • GIS Undergraduate
    • GIS Summer/Winter Workshops
  • Centers
    • Geographical Sciences Centers
  • Alumni
    • Faculty: A Historic Look
    • The Department of Geographical Sciences Alumni
  • Diversity
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    • Diversity, Equity, Inclusion & Anti-Racism in GEOG
    • Beyond GEOG: Resources and Learning
    • GEOG and UMD Reporting Mechanisms
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Publications related to Carbon, Vegetation Dynamics and Landscape-Scale Processes

Fjallsárlón, SE Iceland - May 2018
  • Liang, Z., L. Sun, Z. Tian, G. Fischer, H. Yan. 2023. Increase in grain production potential of China under climate change. Proceedings of the National Academy of Sciences of the USA (PNAS) Nexus. Published online 14 March 2023. https://doi.org/10.1093/pnasnexus/pgad057.
  • Olschewski, P., P. Laux, J. Wei, B. Böker, Z. Tian, L. Sun4, H. Kunstmann. 2023. An ensemble-based assessment of bias adjustment performance, changes in hydrometeorological predictors and compound extreme events in EAS-CORDEX. Weather and Climate Extremes(2021 IF: 7.761), Vol 39, article no. 100531. https://doi.org/10.1016/j.wace.2022.100531. An ensemble based assessment of bias adjustment performance and compound extreme events _WCE2023.pdf10.62 MB
  • Tucker, C., Brandt, M., Hiernaux, P. et al. Sub-continental-scale carbon stocks of individual trees in African drylands. Nature 615, 80–86 (2023). https://doi.org/10.1038/s41586-022-05653-6
  • Zhang, P., X. Zhao, L. Sun, J. Zuo, W. Wei, X. Liu, X. Peng, Y. Shan, S. Li, L. Ge, J. Li, K. Feng. 2023. What can we learn from the 2008 financial crisis for global power decarbonization after COVID-19?   Fundamental Research. Published online 14 March 2023. https://doi.org/10.1016/j.fmre.2023.02.017.
  • Liang, M., Duncanson, L., Silva, J. A., & Sedano, F. (2023). Quantifying aboveground biomass dynamics from charcoal degradation in Mozambique using Gedi Lidar and landsat. Remote Sensing of Environment, 284, 113367. https://doi.org/10.1016/j.rse.2022.
  • Liang, M., González-Roglich, M., Roehrdanz, P., Tabor, K., Zvoleff, A., Leitold, V., Silva, J., Fatoyinbo, T., Hansen, M., & Duncanson, L. (2023). Assessing protected area’s carbon stocks and ecological structure at Regional-scale using GEDI Lidar. Global Environmental Change, 78, 102621. https://doi.org/10.1016/j.gloenvcha.2022.102621
  • Vadrevu, K., Eaturu, A., Casadaban, E., Lasko, K., Schroeder, W., Biswas, S., Giglio, L. and Justice, C. 2022.Spatial variations in vegetation fires and emissions in South and Southeast Asia during COVID-19 and pre-pandemic. Scientific Reports, 12(1)1-2112(1), pp.1-21.
  • Hijbeek, R., van Loon, M., Ouaret, W., Boekelo, B., & van Ittersum, M. (2021). Liming agricultural soils in Western Kenya: Can long-term economic and environmental benefits pay off short term investments?. Agricultural Systems, 190, 103095.https://doi.org/10.1016/j.agsy.2021.103095 1-s2.0-S0308521X21000482-main.pdf4.83 MB
  • Song, K., G. Baiocchi, K. Feng, K. Hubacek, L. Sun, D. Wang, D. Guan. 2022. Can U.S. multi-state climate mitigation agreements work? A perspective from embedded emission flows. Global Environmental Change (2021 IF: 11.16), Vol. 77, article no. 102596. https://doi.org/10.1016/j.gloenvcha.2022.102596.
  • Song, K., G. Baiocchi, K. Feng, K. Hubacek, L. Sun. 2022. Unequal household carbon footprints in the peak-and-decline pattern of U.S. greenhouse gas emissions. Journal of Cleaner Production (2021 IF: 11.072), Vol. 368, article no. 132650, pp. 1-15. https://doi.org/10.1016/j.jclepro.2022.132650.
  • Gong, W., Huang, C., Houghton, R.A., Nassikas, A., Zhao, F., Tao, X., Lu, J., & Schleeweis, K. (2022). Carbon fluxes from contemporary forest disturbances in North Carolina evaluated using a grid-based carbon accounting model and fine resolution remote sensing products. Science of Remote Sensing, Vol. 5. DOI: 10.1016/j.srs.2022.100042
  • Khan. I.M.P., K. Hubacek, K. L. Brubaker, L. Sun, G. Moglen. 2022. Stormwater management adaptation pathways under climate change and urbanization. Journal of Sustainable Water in the Built Environment (2020 IF: 1.78). 8(4): 04022009. DOI: 10.1061/JSWBAY.0000992 Khan et al-Stormwater Management Adaptation Pathways-2022.pdf2.26 MB
  • Kumar, I., K. Feng, L. Sun, V. Bandaru. 2022. Adoption of biomass for electricity generation in Thailand: Implications for energy security, employment, environment, and land use change. Renewable Energy (2020 IF: 8.001). Available online 5 June 2022. https://doi.org/10.1016/j.renene.2022.05.162.
  • Vadrevu, K.P., Le Toan, T., Ray, S.S., and Justice, C. 2022. Remote Sensing of Agriculture and Land Cover/Land Use Changes in South and Southeast Asian Countries. Springer Book. https://doi.org/10.1007/978-3-030-92365-5
  • Zhao, D., K. Feng, L. Sun, G. Baiocchi, H. Liu. 2022. Environmental implications of economic transformation in China’s Pearl River Delta region: Dynamics at four nested geographical scales over 1987-2017.” Science of the Total Environment (2020 IF: 7.963)Vol. 816, article no. 151631. https://doi.org/10.1016/j.scitotenv.2021.151631.
  • Dubayah, et al. (2021) GEDI L4A Footprint Level Aboveground Biomass Density, V2. ORNL DAAC, Oak Ridge, TNhttps://doi.org/10.3334/ORNLDAAC/1986
  • Duncanson et al. (2022). Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission. Remote Sensing of Environment, 270, 112845. 1-s2.0-S0034425721005654-main (1).pdf3.63 MB
  • Kussul, Nataliia, Klaus Deininger, Leonid Shumilo, Mykola Lavreniuk, Daniel Ayalew Ali, and Oleg Nivievskyi. "Biophysical Impact of Sunflower Crop Rotation on Agricultural Fields." Sustainability 14, no. 7 (2022): 3965.
  • Humber, M., Zubkova, M. and Giglio, L., 2022. A remote sensing-based approach to estimating the fire spread rate parameter for individual burn patch extraction. International Journal of Remote Sensing, 43(2), pp.649-673. IJRS_FinalPub.pdf9.74 MB
  • X. Gao, S. Liang, D. Wang, Y. Li, B. He, A. Jia. (2022). Exploration of a novel geoengineering solution: lighting up tropical forests at night, Earth System Dynamics, https://doi.org/10.5194/esd-13-219-2022
  • Bruening et al. Challenges to aboveground biomass prediction from waveform lidar. (2021) Environ. Res. Lett. 16 125013https://iopscience.iop.org/article/10.1088/1748-9326/ac3cec/meta Bruening_2021_Environ._Res._Lett._16_125013.pdf1.56 MB
  • Potapov, P., Turubanova, S., Hansen, M.C., Tyukavina, A., Zalles, V., Khan, A., Song, X.-P., Pickens, A., Shen, Q., & Cortez, J. (2021). Global maps of cropland extent and change show accelerated cropland expansion in the twenty-first century. Nature Food 3, 19–28 Link to article: https://www.nature.com/articles/s43016-021-00429-z
  • Fan, D., Y. Fan, Z. Tian, X. Li, M. Jiang, L. Sun, et al. 2021. A vital option for food security and greenhouse gases mitigation: planting elite super rice in double-to single-rice cropping fields in China. Environmental Research Letters.(2020 IF: 6.793). Vol. 16, article no. 094038. https://doi.org/10.1088/1748-9326/ac1e3e. Fan_2021_Environ._Res._Lett._16_094038.pdf2.52 MB
  • He, Pan, Kuishuang Feng, Giovanni Baiocchi, Laixiang Sun, Klaus Hubacek. 2021. Shifts towards healthy diets in the US can reduce environmental impacts but would be unaffordable for poorer minorities. Nature Food (2021 IF: 20.43). Vol. 2, pp. 664–672. DOI: 10.1038/s43016-021-00350-5.
  • Fan, D., Z. Jiang, Z. Tian, G. Dong, L. Sun. 2021. The effects of climate change on Chinese Medicinal Yam over North China under the high-resolution PRECIS projection. Earth and Space Science (2020 IF = 2.90), 8 (8), e2021EA001804. https://doi.org/10.1029/2021EA001804. The Effects of Climate Change on Chinese Medicinal Yam Over North China_ESS2021.pdf4.31 MB

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