Max Planck Gesellschaft

--- Former member ---

Matthias Forkel

Matthias moved for a PostDoc position to the Remote Sensing research group at TU Wien.

Research Interests

Role of vegetation phenology and dynamics in the Earth system
- model-data integration
- remote sensing of vegetation
- time series analysis: trends, breakpoints, land surface phenology
- global vegetation modelling
Regional focus: global, with focus on boreal and arctic regions
technical: (spatial) data analysis with R; see for example the course material about how to use spatial data in R or the greenbrown package for analysis of trends and trend changes on earth observation data.

Curriculum Vitae

since 01/2016
PostDoc, Technische Universität Wien, Austria
Graduation (Dr. rer. nat.), University Jena, Germany
Thesis: "Controls on Global Greening, Phenology, and the Enhanced Seasonal CO2 Amplitude. Integrating Decadal Satellite Observations and Global Ecosystem Models"
Researcher (PhD candidate, PostDoc) at MPI for Biogeochemistry, Jena, Germany
Visiting MSc student at Potsdam-Institute for Climate Impact Research, Research Domain Earth System Analysis, Potsdam, Germany
Scientific assistant at Department for Earth Observation, University Jena, Germany
Organization of a hyperspectral field campaign inside ESA's EO-LDAS project (Earth Observation Land Data Assimilation Scheme)
Study of Geoinformatics, University Jena, Germany
Master of Science (Geoinformatics), University Jena, Germany
Majors: Remote Sensing, Hydrological Modeling, GIS
Thesis: "Permafrost-Fire Interactions in the Circumpolar Boreal Zone - An Analysis using Earth Observation Products and Simulations with a Dynamic Global Vegetation Model based on Global Climate Projections"
Study of Geography, University Jena
Bachelor of Science (Geography), University Jena, Germany
Thesis: "Raum-zeitliche Analyse atmosphärischen Kohlenstoffs in Sibirien mit ENVISAT-SCIAMACHY-Daten"


The greenbrown R package is a collection of functions to analyse trends and trend changes in gridded time series like from satellite observations or climate model simulations. See for a description and to receive the code. 

Peer-reviewed publications

1Schaphoff, S., von Bloh, W., Rammig, A., Thonicke, K., Biemans, H., Forkel, M., Gerten, D., Heinke, J., Jägermeyr, J., Knauer, J., Langerwisch, F., Lucht, W., Müller, C., Rolinski, S., Waha, K. (2018). LPJmL4 – a dynamic global vegetation model with managed land – Part 1: Model description. Geoscientific Model Development, 11(4), 1343-1375. doi:10.5194/gmd-11-1343-2018.
2Knauer, J., Zaehle, S., Reichstein, M., Medlyn, B. E., Forkel, M., Hagemann, S., Werner, C. (2017). The response of ecosystem water-use efficiency to rising atmospheric CO2 concentrations: sensitivity and large-scale biogeochemical implications. New Phytologist, 213(4), 1654-1666. doi:10.1111/nph.14288.
3Filippa, G., Cremonese, E., Migliavacca, M., Galvagno, M., Forkel, M., Wingate, L., Tomelleri, E., di Cella, U. M., Richardson, A. D. (2016). Phenopix: A R package for image-based vegetation phenology. Agricultural and Forest Meteorology, 220, 141-150. doi:10.1016/j.agrformet.2016.01.006.
4Sippel, S., Otto, F. E. L., Forkel, M., Allen, M. R., Guillod, B. P., Heimann, M., Reichstein, M., Seneviratne, S. I., Thonicke, K., Mahecha, M. D. (2016). A novel bias correction methodology for climate impact simulations. Earth System Dynamics, 7(1), 71-88. doi:10.5194/esd-7-71-2016.
5Thurner, M., Beer, C., Carvalhais, N., Forkel, M., Santoro, M., Tum, M., Schmullius, C. (2016). Large-scale variation in boreal and temperate forest carbon turnover rate is related to climate. Geophysical Research Letters, 43(9), 4576-4585. doi:10.1002/2016GL068794.
6Forkel, M., Carvalhais, N., Rödenbeck, C., Keeling, R., Heimann, M., Thonicke, K., Zaehle, S., Reichstein, M. (2016). Enhanced seasonal CO2 exchange caused by amplified plant productivity in northern ecosystems. Science, 351(6274), 696-699. doi:10.1126/science.aac4971.
7Semenova, O., Lebedeva, L., Volkova, N., Korenev, I., Forkel, M., Eberle, J., Urban, M. (2015). Detecting immediate wildfire impact on runoff in a poorly-gauged mountainous permafrost basin. Hydrological Sciences Journal, 60(7-8), 1225-1241. doi:10.1080/02626667.2014.959960.
8Forkel, M., Migliavacca, M., Thonicke, K., Reichstein, M., Schaphoff, S., Weber, U., Carvalhais, N. (2015). Codominant water control on global interannual variability and trends in land surface phenology and greenness. Global Change Biology, 21(9), 3414-3435. doi:10.1111/gcb.12950.
9Urban, M., Forkel, M., Eberle, J., Hüttich, C., Schmullius, C., Herold, M. (2014). Pan-arctic climate and land cover trends derived from multi-variate and multi-scale analyses (1981–2012). Remote Sensing, 6(3), 2296-2316. doi:10.3390/rs6032296.
10Carvalhais, N., Forkel, M., Khomik, M., Bellarby, J., Jung, M., Migliavacca, M., Mu, M., Saatchi, S., Santoro, M., Thurner, M., Weber, U., Ahrens, B., Beer, C., Cescatti, A., Randerson, J. T., Reichstein, M. (2014). Global covariation of carbon turnover times with climate in terrestrial ecosystems. Nature, 514, 213-217. doi:10.1038/nature13731.
11Urban, M., Forkel, M., Schmullius, C., Hese, S., Hüttich, C., Herold, M. (2014). Identification of land surface temperature and albedo trends in AVHRR pathfinder data from 1982 to 2005 for northern Siberia. International Journal of Remote Sensing, 34(12), 4491-4507. doi:10.1080/01431161.2013.779760.
12Forkel, M., Carvalhais, N., Schaphoff, S., Bloh, W. v., Migliavacca, M., Thurner, M., Thonicke, K. (2014). Identifying environmental controls on vegetation greenness phenology through model-data integration. Biogeosciences, 11(23), 7025-7050. doi:10.5194/bg-11-7025-2014.
13Forkel, M., Carvalhais, N., Verbesselt, J., Mahecha, M. D., Neigh, C. S., Reichstein, M. (2013). Trend change detection in NDVI time series: Effects of inter-annual variability and methodology. Remote Sensing, 5(5), 2113-2144. doi:10.3390/rs5052113.
14Forkel, M., Thonicke, K., Beer, C., Cramer, W., Bartalev, S., Schmullius, C. (2012). Extreme fire events are related to previous-year surface moisture conditions in permafrost-underlain larch forests of Siberia. Environmental Research Letters, 7: 044021. doi:10.1088/1748-9326/7/4/044021.

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