Portrait photo of Koffi Dodji Noumonvi

Koffi Dodji Noumonvi

Postdoc, Department of Forest Ecology and Management, joint staff
Mobile phone
+46730382216
PhD in soil sciences, Master of Science in Forest sciences, Water and forest engineer specialized in Geomatics of natural resources, Software engineer.

Presentation

I am Koffi, a versatile scientist, with many tools in my toolbox. I make use of programming and (geospatial) data analysis, to study ecological processes such as greenhouse gas fluxes, plant phenology, forest dynamics, etc. I am also a software engineer.

Research

My current research focuses on the coupling of carbon and water fluxes in boreal forests, in order to understand the effects of climate change on boreal forest carbon budgets. Previously during my PhD, I focused on the spatial variations in methane fluxes in northern peatlands. I make use of spatial data analysis in my research to identify environmental controls on biogeochemical processes, linking spatial patterns in vegetation, hydrology, and soil properties to variations in carbon and methane fluxes.
Before my PhD, I worked on forest ecosystem mapping and change analysis.

Publications

Noumonvi, K.D., M.B. Nilsson, J.L. Ratcliffe, M.G. Öquist, N. Kljun, J.E.S. Fransson, J. Järveoja, A. Lindroth, G. Simpson, J. Smeds, and others, 2025. Variations in Ecosystem-Scale Methane Fluxes Across a Boreal Mire Complex Assessed by a Network of Flux Towers. Global Change Biology 31(5): e70223

Noumonvi, K.D., 2025. Methane emissions from high latitude peatlands. PhD thesis. Acta Universitatis Agriculturae Sueciae 2025:13

Tong, C.H.M., M. Peichl, K.D. Noumonvi, M.B. Nilsson, H. Laudon, and J. Järveoja, 2025. The Carbon Balance of a Rewetted Minerogenic Peatland Does Not Immediately Resemble That of Natural Mires in Boreal Sweden. Global Change Biology 31(4): e70169

Chibwe, B., N. Terry, K.D. Noumonvi, L. Carpenter-Urquhart, S. Tcheton, and L.M. Pereira, 2024. African futures: a review of scenarios for Indigenous and local people and nature in Africa. Ecology and Society 29(3)

Tong, C.H.M., K.D. Noumonvi, J. Ratcliffe, H. Laudon, J. Järveoja, A. Drott, M.B. Nilsson, and M. Peichl, 2024. A drained nutrient-poor peatland forest in boreal Sweden constitutes a net carbon sink after integrating terrestrial and aquatic fluxes. Global Change Biology 30(3): e17246

Ehnvall, B., A.M. Ågren, M.B. Nilsson, J.L. Ratcliffe, K.D. Noumonvi, M. Peichl, W. Lidberg, R. Giesler, C.-M. Mörth, and M.G. Öquist, 2023. Catchment characteristics control boreal mire nutrient regime and vegetation patterns over ~5000 years of landscape development. Science of the Total Environment 895: 165132

Meliho, M., M. Boulmane, A. Khattabi, C.E. Dansou, C.A. Orlando, N. Mhammdi, and K.D. Noumonvi, 2023. Spatial prediction of soil organic carbon stock in the moroccan high atlas using machine learning. Remote Sensing 15(10): 2494

Noumonvi, K.D., A.M. Ågren, J.L. Ratcliffe, M.G. Öquist, L. Ericson, C.H.M. Tong, J. Järveoja, W. Zhu, S. Osterwalder, H. Peng, and others, 2023. The Kulbäcksliden Research Infrastructure: a unique setting for northern peatland studies. Frontiers in Earth Science 11: 1194749

Noumonvi, K.D., G. Oblišar, A. Žust, and U. Vilhar, 2021. Empirical approach for modelling tree phenology in mixed forests using remote sensing. Remote Sensing 13(15): 3015

Noumonvi, K.D. and M. Ferlan, 2020. Empirical vs. light-use efficiency modelling for estimating carbon fluxes in a mid-succession ecosystem developed on abandoned karst grassland. PLoS One 15(8): e0237351

Noumonvi, K.D., M. Ferlan, K. Eler, G. Alberti, A. Peressotti, and S. Cerasoli, 2019. Estimation of carbon fluxes from eddy covariance data and satellite-derived vegetation indices in a karst grassland (Podgorski Kras, Slovenia). Remote Sensing 11(6): 649

Konko, Y., J.P. Rudant, G.K. Akpamou, K.D. Noumonvi, and K. Kokou, 2018. Spatio-Temporal Distribution of Southeastern Community Forests in Togo (West Africa). Journal of Geoscience and Environment Protection 6: 51-65

Noumonvi, K.D., F. Mounir, and B. Belghazi, 2017. Spatial Multi-Criteria Based Analysis to Assess Dynamics and Vulnerability of Forest Ecosystems to Global Changes: Case of Maamora Forest-Morocco. Open Access Library Journal 4(9): 1-16

Portfolio page