Matthias Forkel
Matthias Forkel
Technische Universität Dresden, Faculty of Environmental Sciences
Verified email at - Homepage
Cited by
Cited by
ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions
W Dorigo, W Wagner, C Albergel, F Albrecht, G Balsamo, L Brocca, ...
Remote Sensing of Environment 203, 185-215, 2017
Global covariation of carbon turnover times with climate in terrestrial ecosystems
N Carvalhais, M Forkel, M Khomik, J Bellarby, M Jung, M Migliavacca, ...
Nature 514 (7521), 213-217, 2014
Trend change detection in NDVI time series: Effects of inter-annual variability and methodology
M Forkel, N Carvalhais, J Verbesselt, MD Mahecha, CSR Neigh, ...
Remote Sensing 5 (5), 2113-2144, 2013
Enhanced seasonal CO2 exchange caused by amplified plant productivity in northern ecosystems
M Forkel, N Carvalhais, C Rödenbeck, R Keeling, M Heimann, ...
Science 351 (6274), 696-699, 2016
Widespread seasonal compensation effects of spring warming on northern plant productivity
W Buermann, M Forkel, M O’Sullivan, S Sitch, P Friedlingstein, V Haverd, ...
Nature 562, 110-114, 2018
Global and regional trends and drivers of fire under climate change
MW Jones, JT Abatzoglou, S Veraverbeke, N Andela, G Lasslop, M Forkel, ...
Reviews of Geophysics 60 (3), e2020RG000726, 2022
Codominant water control on global interannual variability and trends in land surface phenology and greenness
M Forkel, M Migliavacca, K Thonicke, M Reichstein, S Schaphoff, ...
Global change biology 21 (9), 3414-3435, 2015
Phenopix: AR package for image-based vegetation phenology
G Filippa, E Cremonese, M Migliavacca, M Galvagno, M Forkel, L Wingate, ...
Agricultural and Forest Meteorology 220, 141-150, 2016
LPJmL4–a dynamic global vegetation model with managed land–Part 1: Model description
S Schaphoff, W Von Bloh, A Rammig, K Thonicke, H Biemans, M Forkel, ...
Geoscientific Model Development 11 (4), 1343-1375, 2018
The Global Long-term Microwave Vegetation Optical Depth Climate Archive VODCA
L Moesinger, W Dorigo, R de Jeu, R van der Schalie, T Scanlon, ...
Earth System Science Data Discussions, 2019
The three major axes of terrestrial ecosystem function
M Migliavacca, T Musavi, MD Mahecha, JA Nelson, J Knauer, ...
Nature 598 (7881), 468-472, 2021
Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models
M Forkel, N Andela, SP Harrison, G Lasslop, M Marle, E Chuvieco, ...
Biogeosciences 16 (1), 57-76, 2019
The response of ecosystem water‐use efficiency to rising atmospheric CO2 concentrations: sensitivity and large‐scale biogeochemical implications
J Knauer, S Zaehle, M Reichstein, BE Medlyn, M Forkel, S Hagemann, ...
New Phytologist 213 (4), 1654-1666, 2017
Widespread increasing vegetation sensitivity to soil moisture
W Li, M Migliavacca, M Forkel, JMC Denissen, M Reichstein, H Yang, ...
Nature communications 13 (1), 3959, 2022
Extreme fire events are related to previous-year surface moisture conditions in permafrost-underlain larch forests of Siberia
M Forkel, K Thonicke, C Beer, W Cramer, S Bartalev, C Schmullius
Environmental Research Letters 7 (4), 044021, 2012
A novel bias correction methodology for climate impact simulations
S Sippel, FEL Otto, M Forkel, MR Allen, BP Guillod, M Heimann, ...
Earth System Dynamics 7 (1), 71-88, 2016
Recent global and regional trends in burned area and their compensating environmental controls
M Forkel, W Dorigo, G Lasslop, E Chuvieco, S Hantson, A Heil, I Teubner, ...
Environmental Research Communications, 2019
A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1)
M Forkel, W Dorigo, G Lasslop, I Teubner, E Chuvieco, K Thonicke
Geoscientific Model Development 10 (12), 4443-4476, 2017
Global ecosystems and fire: Multi‐model assessment of fire‐induced tree‐cover and carbon storage reduction
G Lasslop, S Hantson, SP Harrison, D Bachelet, C Burton, M Forkel, ...
Global Change Biology 26 (9), 5027-5041, 2020
Identifying environmental controls on vegetation greenness phenology through model–data integration
M Forkel, N Carvalhais, S Schaphoff, M Migliavacca, M Thurner, ...
Biogeosciences 11 (23), 7025-7050, 2014
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