JProf. Dr. Matthias Forkel

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JProf. Dr. Matthias Forkel

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Wednesday:

08:15 - 09:00

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08:15 - 09:00

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http://www.m-forkel.de/

Matthias Forkel at Twitter | ResearchGate

Research interests

Matthias is an environmental scientist and Junior Professor for environmental remote sensing. His main research interest is the development and application of optical and microwave satellite observations and related methods to quantify changes in land ecosystems and vegetation, understand their underlying processes, and the related feedbacks in the global carbon cycle and the Earth system. An additional focus is on linking Earth observation with process-oriented environmental models through model-data integration and machine learning approaches. His interest is in environmental processes such as  vegetation phenology, productivity, carbon cycling, vegetation water dynamics, drought effects, and specifically vegetation fires. Matthias is the principle investigator or a leading co-investigator in several research projects. Several publications in the multi-disciplinary journals Science and Nature and in various disciplinary journals demonstrate the broad scope and depth of his research.

Professional research experience

• since 09/2019 | TU Dresden, Dresden, Germany | Junior-Professor for Environmental Remote Sensing, Faculty for Environmental Sciences
• 01/2016 - 08/2019 | TU Wien, Vienna, Austria | PostDoc at the Department of Geodesy and Geoinformation, Climate and Environmental Remote Sensing Group
• 01/2015 - 12/2015 | Max Planck Institute for Biogeochemistry, Jena, Germany | PostDoc at the Department of Biogeochemical Integration
• 01/2011 - 12/2014 | Max Planck Institute for Biogeochemistry, Jena, Germany | PhD candidate at the Department of Biogeochemical Integration
• 2009 - 2010 | Friedrich Schiller University, Jena, Germany | Scientific assistant at the Department for Earth Observation

Education

• 2015 | PhD (Dr. rer. nat.) | Friedrich Schiller University, Jena, Germany | Thesis: Controls on Global Greening, Phenology, and the Enhanced Seasonal CO₂ Amplitude – Integrating Decadal Satellite Observations and Global Ecosystem Models
• 2008 - 2010 | M.Sc. | Friedrich Schiller University, Jena, Germany | Master degree in Geoinformatics        
• 2005 - 2008 | B.Sc. | Friedrich Schiller University, Jena, Germany | Bachelor degree in Geography

Memberships and commission of trust

• Coordinator for the ERASMUS+ programme at the Department of Geosciences, TU Dresden ERASMUS Website
• Member of the Doctoral Board of the Faculty of Environmental Sciences, TU Dresden
• Vice-chair of the Transboundary Scientific Board of the National Parks Saxon Switzerland (Germany) and Bohemian Switzerland (Czechia)
• Member of the German Society for Photogrammetry, Remote Sensing and Geoinformation (DGPF)
• Member of the European Geosciences Union

Funding (at TUD)

• 07/2023 - 06/2025 | 3C Copernicus Cross Compliance: Monitoring von Cross Compliance Verpflichtungen in der Agrarförderung (Co-I, BMDV/DLR, 191 kEUR)
• 08/2021 - 07/2023 + 08/2023 - 01/2025 | Sense4Fire (link) Sentinel-based fuel, fire and emission products to constrain the changing role of vegetation fires in the global carbon cycle link (PI, ESA, total: 494+199 kEUR, TUD: 170+69 kEUR)
• 2022 - 2024 | PhenoFeedBacks: Biophysical impacts and feedbacks of plant phenological changes (PI, DFG, 217 kEUR)
• 04/2022 - 02/2023 | NFDI4Earth MDI: NFDI pilot for seamless Earth system model-data integration (I, DFG, 75 kEUR)
• 01/2022 - 12/2024 | Recovery: Recent changes in northern vegetation carbon cycling  (Co-PI, DFG, 229 kEUR)
• 04/2021 - 03/2025 | FirEUrisk (link): Developing a holistic, risk-wise strategy for European wildfire management  (Co-I, EU/H2020, TUD: 299 kEUR)
• 04/2021 - 05/2022 | Corona: Mapping land cover in Saxony 1964-1984 (PI, LfULG, 203 kEUR)

Awards and scholarship

• 2018 | Best Paper Award by the Faculty of Mathematics and Geoinformation of TU Wien | Awarded paper: Forkel et al. 2017 GMD
• 2016 - 2018 | Living Planet Fellowship by the European Space Agency
• 2016 | Beutenberg Campus Science Award, Jena, Germany | Best PhD thesis in Life Sciences and Physics in 2015

Publications

Matthias' publications (ORCID) gained between 3592-5010 citations resulting in an h-index of 27-30 (October 2023, range of publication statistics from GoogleScholar, Scopus, Web of Science, ResearchGate)

Key publications

Number of citations from GoogleScholar (2023-10-31).

Forkel, M., Andela, N., Harrison, S.P., Lasslop, G., Marle, M. van, Chuvieco, E., Dorigo, W., Forrest, M., Hantson, S., Heil, A., Li, F., Melton, J., Sitch, S., Yue, C., Arneth, A. (2019).
Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models.
Biogeosciences 16, 57–76. https://doi.org/10.5194/bg-16-57-2019 Citations: 107

Forkel, M., Schmidt, L., Zotta, R.-M., Dorigo, W., and Yebra, M. (2023).
Estimating leaf moisture content at global scale from passive microwave satellite observations of vegetation optical depth
Hydrology and Earth System Sciences, 27, 39–68, https://doi.org/10.5194/hess-27-39-2023 Citations: 8

Forkel, 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, doi:10.1126/science.aac4971. Citations: 361

Forkel, 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. Citations: 505

All publications

Publications are ordered chronological.

2023

(55) Forkel, M. (2023).
Globale Trends und Einflussfaktoren von Waldbränden unter dem Klimawandel. Beitrag der Fernerkundung zu Feuergeographie und Waldbrandrisikobewertung
Geographische Rundschau 11-2023, 6-9.

(54) Kugler, L., Marrs, C., Kosczor, E., and Forkel, M. (2023).
Landbedeckung in Sachsen 1961-1979 (Teil 1). Erfassung von Veränderungen in der Landbedeckung in Sachsen 1961-1979: Analyse anhand historischer CORONA-Spionageaufnahmen und tiefer neuronaler Netze
Schriftenreihe des LfULG, 6/2023, 72, https://publikationen.sachsen.de/bdb/artikel/42436

(53) Panwar, A., Migliavacca, M., Nelson, J. A., Cortés, J., Bastos, A., Forkel, M., and Winkler, A. J. (2023).
Methodological challenges and new perspectives of shifting vegetation phenology in eddy covariance data
Scientific Reports, 13, 13885, https://doi.org/10.1038/s41598-023-41048-x

(52) Li, W., Pacheco-Labrador, J., Migliavacca, M., Miralles, D., Hoek van Dijke, A., Reichstein, M., Forkel, M., Zhang, W., Frankenberg, C., Panwar, A., Zhang, Q., Weber, U., Gentine, P., and Orth, R. (2023).
Widespread and complex drought effects on vegetation physiology inferred from space
Nature Communications, 14, 4640, https://doi.org/10.1038/s41467-023-40226-9

(51) Reiter, D., Meinel, G., and Forkel, M. (2023).
Evaluierung der Tatsächlichen Nutzung im ATKIS Basis-DLM mittels Digitaler Orthophotos und Deep Learning
ZfV - Zeitschrift für Geodäsie, Geoinformation und Landmanagement, https://doi.org/10.12902/zfv-0422-2023

(50) Stolz, J., Forkel, M., van der Maaten, E., Martin, J., and van der Maaten-Theunissen, M. (2023).
Through eagle eyes—the potential of satellite-derived LAI time series to estimate masting events and tree-ring width of European beech
Regional Environmental Change, 23, 74, https://doi.org/10.1007/s10113-023-02068-5

(49) Mukunga, T., Forkel, M., Forrest, M., Zotta, R.-M., Pande, N., Schlaffer, S., and Dorigo, W. (2023).
Effect of Socioeconomic Variables in Predicting Global Fire Ignition Occurrence
Fire, 6, 197, https://doi.org/10.3390/fire6050197

(48) Lee, H., Jung, M., Carvalhais, N., Trautmann, T., Kraft, B., Reichstein, M., Forkel, M., and Koirala, S. (2023).
Diagnosing modeling errors in global terrestrial water storage interannual variability
Hydrology and Earth System Sciences, 27, 1531–1563, https://doi.org/10.5194/hess-27-1531-2023

(47) Schmidt, L., Forkel, M., Zotta, R.-M., Scherrer, S., Dorigo, W. A., Kuhn-Régnier, A., van der Schalie, R., and Yebra, M. (2023).
Assessing the sensitivity of multi-frequency passive microwave vegetation optical depth to vegetation properties
Biogeosciences 20, 1027–1046, https://doi.org/10.5194/bg-20-1027-2023

(46) Forkel, M., Schmidt, L., Zotta, R.-M., Dorigo, W., and Yebra, M. (2023).
Estimating leaf moisture content at global scale from passive microwave satellite observations of vegetation optical depth
Hydrology and Earth System Sciences, 27, 39–68, https://doi.org/10.5194/hess-27-39-2023

2022

(45) Li, W., Migliavacca, M., Forkel, M., Denissen, J. M. C., Reichstein, M., Yang, H., Duveiller, G., Weber, U., and Orth, R. (2022).
Widespread increasing vegetation sensitivity to soil moisture.
Nature Communications, 13, 3959, https://doi.org/10.1038/s41467-022-31667-9

(44) Jones, M. W., Abatzoglou, J. T., Veraverbeke, S., Andela, N., Lasslop, G., Forkel, M., Smith, A. J. P., Burton, C., Betts, R. A., van der Werf, G. R., Sitch, S., Canadell, J. G., Santín, C., Kolden, C., Doerr, S. H., and Le Quéré, C. (2022).
Global and regional trends and drivers of fire under climate change.
Reviews of Geophysics, 60, e2020RG000726, https://doi.org/10.1029/2020RG000726

(43) Kosczor, E., Forkel, M., Hernández, J., Kinalczyk, D., Pirotti, F., and Kutchartt, E. (2022).
Assessing land surface phenology in Araucaria-Nothofagus forests in Chile with Landsat 8/Sentinel-2 time series.
International Journal of Applied Earth Observation and Geoinformation, 112, 102862, https://doi.org/10.1016/j.jag.2022.102862

(42) Wild, B., Teubner, I., Moesinger, L., Zotta, R.-M., Forkel, M., van der Schalie, R., Sitch, S., and Dorigo, W. (2022).
VODCA2GPP – a new, global, long-term (1988–2020) gross primary production dataset from microwave remote sensing.
Earth System Science Data, 14, 1063–1085, https://doi.org/10.5194/essd-14-1063-2022

2021

(41) Zhang, W., Wei, F., Horion, S., Fensholt, R., Forkel, M., and Brandt, M. (2021).
Global quantification of the bidirectional dependency between soil moisture and vegetation productivity.
Agricultural and Forest Meteorology, 108735, https://doi.org/10.1016/j.agrformet.2021.108735

(40) Harrison, S. P., Prentice, I. C., Bloomfield, K. J., Dong, N., Forkel, M., Forrest, M., Ningthoujam, R. K., Pellegrini, A., Shen, Y., Baudena, M., Cardoso, A. W., Huss, J. C., Joshi, J., Oliveras, I., Pausas, J. G., and Simpson, K. J. (2021).
Understanding and modelling wildfire regimes: an ecological perspective.
Environmental Research Letters, https://doi.org/10.1088/1748-9326/ac39be

(39) Migliavacca, M., Musavi, T., Mahecha, M. D., Nelson, J. A., Knauer, J., Baldocchi, D. D., Perez-Priego, O., Christiansen, R., Peters, J., Anderson, K., Bahn, M., Black, T. A., Blanken, P. D., Bonal, D., Buchmann, N., Caldararu, S., Carrara, A., Carvalhais, N., Cescatti, A., Chen, J., Cleverly, J., Cremonese, E., Desai, A. R., El-Madany, T. S., Farella, M. M., Fernández-Martínez, M., Filippa, G., Forkel, M., Galvagno, M., Gomarasca, U., Gough, C. M., Göckede, M., Ibrom, A., Ikawa, H., Janssens, I. A., Jung, M., Kattge, J., Keenan, T. F., Knohl, A., Kobayashi, H., Kraemer, G., Law, B. E., Liddell, M. J., Ma, X., Mammarella, I., Martini, D., Macfarlane, C., Matteucci, G., Montagnani, L., Pabon-Moreno, D. E., Panigada, C., Papale, D., Pendall, E., Penuelas, J., Phillips, R. P., Reich, P. B., Rossini, M., Rotenberg, E., Scott, R. L., Stahl, C., Weber, U., Wohlfahrt, G., Wolf, S., Wright, I. J., Yakir, D., Zaehle, S., and Reichstein, M. (2021).
The three major axes of terrestrial ecosystem function.
Nature, https://doi.org/10.1038/s41586-021-03939-9

(38) Drüke, M., von Bloh, W., Petri, S., Sakschewski, B., Schaphoff, S., Forkel, M., Huiskamp, W., Feulner, G., and Thonicke, K. (2021).
CM2Mc-LPJmL v1.0: biophysical coupling of a process-based dynamic vegetation model with managed land to a general circulation model.
Geoscientific Model Development, 14, 4117–4141, https://doi.org/10.5194/gmd-14-4117-2021.

(37) Kuhn-Régnier, A., Voulgarakis, A., Nowack, P., Forkel, M., Prentice, I. C. and Harrison, S. P. (2021).
The importance of antecedent vegetation and drought conditions as global drivers of burnt area.
Biogeosciences 18, 3861–3879, https://doi.org/10.5194/bg-18-3861-2021

(36) Li, W., Migliavacca, M., Forkel, M., Walther, S., Reichstein, M., and Orth, R. (2021).
Revisiting Global Vegetation Controls Using Multi-Layer Soil Moisture.
Geophysical Research Letters 48, e2021GL092856, https://doi.org/10.1029/2021GL092856

(35) Teubner, I. E., Forkel, M., Wild, B., Mösinger, L. and Dorigo, W. A. (2021).
Impact of temperature and water availability on microwave-derived gross primary production.
Biogeosciences 18, 3285–3308. https://doi.org/10.5194/bg-18-3285-2021

(34) Chuvieco, E., Pettinari, M. L., Koutsias, N., Forkel, M., Hantson, S., and Turco, M. (2021).
Human and climate drivers of global biomass burning variability.
Science of The Total Environment, 146361, https://doi.org/10.1016/j.scitotenv.2021.146361

2020

(33) Crocetti, L., Forkel, M., Fischer, M., Jurečka, F., Grlj, A., Salentinig, A., Trnka, M., Anderson, M., Ng, W.-T., Kokalj, Ž., Bucur, A. and Dorigo, W. (2020).
Earth Observation for agricultural drought monitoring in the Pannonian Basin (southeastern Europe): current state and future directions
Regional Environmental Change, 20(4), 123. https://doi.org/10.1007/s10113-020-01710-w

(32) Pfeil, I., Wagner, W., Forkel, M., Dorigo, W., Vreugdenhil, M. (2020).
Does ASCAT observe the spring reactivation in temperate deciduous broadleaf forests?
Remote Sensing of Environment 250, 112042. https://doi.org/10.1016/j.rse.2020.112042

(31) Lasslop, G., Hantson, S., Harrison, S.P., Bachelet, D., Burton, C., Forkel, M., Forrest, M., Li, F., Melton, J.R., Yue, C., Archibald, S., Scheiter, S., Arneth, A., Hickler, T., Sitch, S. (2020).
Global ecosystems and fire: multi-model assessment of fire-induced tree cover and carbon storage reduction.
Global Change Biology https://doi.org/10.1111/gcb.15160

(30) Moesinger, L., Dorigo, W., Jeu, R. de, Schalie, R. van der, Scanlon, T., Teubner, I., Forkel, M. (2020).
The global long-term microwave Vegetation Optical Depth Climate Archive (VODCA).
Earth System Science Data 12, 177–196. https://doi.org/10.5194/essd-12-177-2020

2019

(29) Forkel, M., Drüke, M., Thurner, M., Dorigo, W., Schaphoff, S., Thonicke, K., Bloh, W. von, Carvalhais, N. (2019).
Constraining modelled global vegetation dynamics and carbon turnover using multiple satellite observations.
Scientific Reports 9, 1–12. https://doi.org/10.1038/s41598-019-55187-7

(28) Drüke, M., Forkel, M., Bloh, W. von, Sakschewski, B., Cardoso, M., Bustamante, M., Kurths, J., Thonicke, K. (2019).
Improving the LPJmL4-SPITFIRE vegetation-fire model for South America using satellite data.
Geoscientific Model Development 12, 5029-5054. https://doi.org/10.5194/gmd-12-5029-2019

(27) Zappa, L., Forkel, M., Xaver, A., Dorigo, W. (2019).
Deriving Field Scale Soil Moisture from Satellite Observations and Ground Measurements in a Hilly Agricultural Region.
Remote Sensing 11, 2596. https://doi.org/10.3390/rs11222596

(26) Forkel, M., Dorigo, W.A., Lasslop, G., Chuvieco, E., Hantson, S., Heil, A., Teubner, I., Thonicke, K., Harrison, S.P. (2019).
Recent global and regional trends in burned area and their compensating environmental controls.
Environmental Research Communications. https://doi.org/10.1088/2515-7620/ab25d2

(25) Teubner, I.E., Forkel, M., Camps-Valls, G., Jung, M., Miralles, D.G., Tramontana, G., van der Schalie, R., Vreugdenhil, M., Mösinger, L., Dorigo, W.A. (2019).
A carbon sink-driven approach to estimate gross primary production from microwave satellite observations.
Remote Sensing of Environment 229, 100–113. https://doi.org/10.1016/j.rse.2019.04.022

(24) Forkel, M., Dorigo, W., Carvalhais, N., Thonicke, K. (2019).
Fernerkundung für Globale Klima-Vegetationsmodelle.
Publikationen der Deutschen Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation 28, 203–213.

(23) Forkel, M., Andela, N., Harrison, S.P., Lasslop, G., Marle, M. van, Chuvieco, E., Dorigo, W., Forrest, M., Hantson, S., Heil, A., Li, F., Melton, J., Sitch, S., Yue, C., Arneth, A. (2019).
Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models.
Biogeosciences 16, 57–76. https://doi.org/10.5194/bg-16-57-2019

(22) Huang, J., Forkelová, L., Unsicker, S.B., Forkel, M., Griffith, D.W.T., Trumbore, S., Hartmann, H. (2019).
Isotope labeling reveals contribution of newly fixed carbon to carbon storage and monoterpenes production under water deficit and carbon limitation.
Environmental and Experimental Botany. https://doi.org/10.1016/j.envexpbot.2019.03.010

2018

(21) Buermann, W., Forkel, M., O’Sullivan, M., Sitch, S., Friedlingstein, P., Haverd, V., Jain, A.K., Kato, E., Kautz, M., Lienert, S., Lombardozzi, D., Nabel, J.E.M.S., Tian, H., Wiltshire, A.J., Zhu, D., Smith, W.K., Richardson, A.D. (2018).
Widespread seasonal compensation effects of spring warming on northern plant productivity.
Nature 562, 110–114. https://doi.org/10.1038/s41586-018-0555-7

(20) Schaphoff, S., Forkel, M., Müller, C., Knauer, J., von Bloh, W., Gerten, D., Jägermeyr, J., Lucht, W., Rammig, A., Thonicke, K. and Waha, K. (2018b).
LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation.
Geoscientific Model Development, 11(4), 1377–1403, doi:10.5194/gmd-11-1377-2018.

(19) Schaphoff, 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. and Waha, K. (2018a).
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.

(18) Teubner, I.E., Forkel, M., Jung, M., Liu, Y.Y., Miralles, D.G., Parinussa, R., van der Schalie, R., Vreugdenhil, M., Schwalm, C.R., Tramontana, G., Camps-Valls, G., Dorigo, W.A. (2018).
Assessing the relationship between microwave vegetation optical depth and gross primary production.
International Journal of Applied Earth Observation and Geoinformation 65, 79–91. doi:10.1016/j.jag.2017.10.006

2017

(17) Forkel, M., Dorigo, W., Lasslop, G., Teubner, I., Chuvieco, E., Thonicke, K. (2017).
A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1).
Geoscientific Model Development 10, 4443-4476. doi:10.5194/gmd-10-4443-2017
The publication received the Best Paper Award 2017 of the Faculty for Mathematics and Geoinformation of TU Wien.

(16) Dorigo, W., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, P.D., Hirschi, M., Ikonen, J., de Jeu, R., Kidd, R., Lahoz, W., Liu, Y.Y., Miralles, D., Mistelbauer, T., Nicolai-Shaw, N., Parinussa, R., Pratola, C., Reimer, C., van der Schalie, R., Seneviratne, S.I., Smolander, T., Lecomte, P. (2017).
ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions.
Remote Sensing of Environment, 203, 185-215. doi:10.1016/j.rse.2017.07.001

(15) Sippel, S., Forkel, M., Rammig, A., Thonicke, K., Flach, M., Heimann, M., Otto, F. E. L., Reichstein, M. and Mahecha, M. D. (2017).
Contrasting and interacting changes in simulated spring and summer carbon cycle extremes in European ecosystems.
Environmental Research Letters, 12, 7, 075006. doi:10.1088/1748-9326/aa7398.

(14) Knauer, 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, 1654-1666. doi:10.1111/nph.14288.

2016

(13) Thurner, 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, doi:10.1002/2016GL068794.

(12) Sippel, 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, 71-88. doi:10.5194/esd-7-71-2016.

(11) Filippa, G., Cremonese, E., Migliavacca, M., Galvagno, M., Forkel, M., Wingate, L., Tomelleri, E., Morra di Cella, U., 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

(10) Forkel, 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, doi:10.1126/science.aac4971.

2015

(9) Renner, M., Forkel, M., Brust, K., Schwärzel, K., Volk, M., Bernhofer, C. (2015).
Ein hydrometeorologisches Verfahren zur Unterscheidung der langjährigen Auswirkungen von Landnutzung und Klima auf den Wasserhaushalt.
Forum für Hydrologie und Wasserbewirtschaftung 35.15.

(8) Forkel, 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.

(7) Semenova, 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.

2014

(6) Carvalhais, 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.

(5) Forkel, 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.

(4) Urban, 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.

2012 - 2013

(3) Urban, M., Forkel, M., Schmullius, C., Hese, S., Hüttich, C., Herold, M. (2013).
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.

(2) Forkel, 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.

(1) Forkel, 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.