|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, 2014
|Trend change detection in NDVI time series: Effects of inter-annual variability and methodology|
M Forkel, N Carvalhais, J Verbesselt, M Mahecha, C Neigh, M Reichstein
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
|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
|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
|A novel bias correction methodology for climate impact simulations|
FEL Otto, S Sippel, M Forkel, MR Allen, BP Guillod, M Heimann, ...
Earth System Dynamics Discussions 6 (2), 2015
|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
|Pan-Arctic climate and land cover trends derived from multi-variate and multi-scale analyses (1981–2012)|
M Urban, M Forkel, J Eberle, C Hüttich, C Schmullius, M Herold
Remote Sensing 6 (3), 2296-2316, 2014
|Identifying environmental controls on vegetation greenness phenology through model-data integration|
M Forkel, N Carvalhais, S Schaphoff, W Bloh, M Migliavacca, M Thurner, ...
Biogeosciences 11 (23), 7025-7050, 2014
|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
|Large‐scale variation in boreal and temperate forest carbon turnover rate related to climate|
M Thurner, C Beer, N Carvalhais, M Forkel, M Santoro, M Tum, ...
Geophysical Research Letters 43 (9), 4576-4585, 2016
|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, 4443-4476, 2017
|Contrasting and interacting changes in simulated spring and summer carbon cycle extremes in European ecosystems|
S Sippel, M Forkel, A Rammig, K Thonicke, M Flach, M Heimann, FEL Otto, ...
Environmental Research Letters 12 (7), 075006, 2017
|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
|LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation|
S Schaphoff, M Forkel, C Müller, J Knauer, W von Bloh, D Gerten, ...
Geoscientific Model Development 11, 1377-1403, 2018
|Detecting immediate wildfire impact on runoff in a poorly-gauged mountainous permafrost basin|
O Semenova, L Lebedeva, N Volkova, I Korenev, M Forkel, J Eberle, ...
Hydrological sciences journal 60 (7-8), 1225-1241, 2015
|Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models|
M Forkel, N Andela, S P Harrison, G Lasslop, M Van Marle, E Chuvieco, ...
European Geosciences Union (EGU), 2019
|Identification of land surface temperature and albedo trends in AVHRR Pathfinder data from 1982 to 2005 for northern Siberia|
M Urban, M Forkel, C Schmullius, S Hese, C Hüttich, M Herold
International journal of remote sensing 34 (12), 4491-4507, 2013
|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