at the Max Planck Institute for Biogeochemistry

Research group: Biosphere-Atmosphere Interactions and Experimentation

Mission

The Biosphere-Atmosphere Experimentation and Interactions Group (BAIE) aims at improving the understanding of the interactions and feedbacks between climate, environmental changes, nutrient availability and the biogeochemical cycles of carbon, nitrogen, and phosphorus. To this end we combine tools and approaches from biometeorology and biogeochemistry such as eddy covariance flux observation, field manipulation experiments, soil and plant analysis, and proximal/remote sensing techniques. With a global focus, the group investigates the biosphere-atmosphere interactions by contributing to and analyzing globally distributed datasets (e.g. FLUXNET database, remote sensing products) using data-mining and model-data integration techniques. Exploiting this generalized information, our final goal is to enhance the description of the response of biosphere’s element cycling to climate variability in state-of-the-art global terrestrial biosphere models and up-scaling approaches.

In the picture: First row from left to right: Ana Bastos as special guest of BAIE meeting, Mirco, David, Yunpeng Second row from left to right: Tiana, Richard, Daniel and a little lion, Tarek. Third row from left to right: Thomas, Javier, Qian, Wantong Fourth row from left to right: Ekaterina, Sinikka

Focus Areas

Focus #1: Climatic and environmental controls on ecosystem-atmosphere energy and mass exchanges:

Eddy covariance measurements of mass-energy exchanges between terrestrial ecosystems and the atmosphere;
Characterization and partitioning of water fluxes;
Impacts of nutrient availability on carbon and water fluxes;
Contribution to and analysis of large dataset (e.g. FLUXNET database);

Focus #2: Phenology and Ecosystem Processes

Interactions and feedback between climate and land surface phenology;
Understanding the relationship between phenology and water cycles;
Development of tools for the measurements of land surface phenology;

Focus #3: Remote Sensing of Ecosystem Function

Understanding the information about photosynthesis, ecosystem functioning and stress encoded into hyperspectral remote sensing observations and sun induced fluorescence (SIF);
Evaluating factors affecting hyperspectral and SIF signals at different temporal scales;
Evaluating drivers of the photosynthesis-SIF relationship in climate manipulation experiments;

News, Research highlights, on the road, in the field

Find weekly news here - or follow us on twitter @BAIEbgi to stay updated!

January 2021:

Happy New Year everyone!

As always the year begins with EGU abstract submission deadline on January 13th. This years EGU will be fully online again - nevertheless we are looking forward to seeing you and your work in April this year - hopefully in our session.

Abstracts welcome for our Session BG3.21 Emerging constraints of photosynthesis (including chlorophyll fluorescence), respiration, and transpiration at ecosystem to global scales with Karolina Sakowska, Mirco Migliavacca and Markus Reichstein among the Conveners!

>> news archive

Team

Phone: +49.3641.57 - extension | E-mail: e-mail - @bgc-jena.mpg.de

Name	Position	E-mail	Phone	Room
Mirco Migliavacca	Group leader	mmiglia	...6281	C2.008b
Tarek El-Madany	Post-Doc	telmad	...6231	C2.010
Ulisse Gomarasca	PhD student	ugomar	...6237	C3.011
Tiana Hammer	Technical Assistant	thammer	...6264	C1.010
Kathrin Henkel	Lab and Field Technician	khenkel	....6506	A1.023
Wantong Li	PhD student^*	wantong	...6232	C1.008
Yunpeng Luo	PhD student	yluo	...6208	C1.010
David Martini	PhD student	dmartini	...	C2.020
Richard Nair	Post-Doc^*	rnair	...6220	C1.016
Javier Pacheco-Labrador	Post-Doc	jpacheco	...6280	C3.002a
Sinikka Paulus	PhD student^*	spaulus	...6232	C1.008
Ladislav Sigut	Visiting Post-Doc	lsigut	...6238	C1.024
Qian Zhang	Visiting PostDoc	qzhang	...	C1.011

Group members marked with ^* are shared with other research groups of the department.

Former team members, collaborators and guests


Ekaterina Bogdanovich	Internship	Now PhD Student - BGC research group of Hydrology-Biosphere-Climate Interactions
Kendalynn Morris	PhD student^*
Xuanlong Ma	PostDoc	Now Youth Professor - Lanzhou University - Environmenral Remote Sensing Lab
Khelvi Biriukova	Visiting PhD Student - University of Milan-Bicocca	Now PhD Student - University of Milan-Bicocca
JinHong Guan	Post-Doc	Now Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources
Verena Bessenbacher	Technician	Now PhD Student ETH Zurich
Cristina Novara	Visiting PhD Student
Anna Berninger	Internship	Now RSS Remote Sensing Solution GmbH
Oscar Perez-Priego	Post-Doc Researcher	Now Ian Wright Lab – Macquarie University, Australia

Projects

MANIP - Large-Scale Manipulation Experiment
MANIP, a long term experimental project, aims at understanding responses in different eddy covariance sites from nutrient loading (primarily N and P) and water availability, on ecosystem-level carbon, water fluxes, and their interannual variability.

DEHESHyrE
Monitoring mass and energy fluxes in a manipulated Mediterranean tree-grass Dehesa (Mediterranean Savanna) ecosystem through the integration of ground and satellite data with airborne hyperspectral imagery

MoReDEHESHyReS - Modelling Responses of Dehesas with Hyperspectral Remote Sensing
MoReDEHESHyReS develops methodologies to exploit hyperspectral information from the Environmental Mapping and Analysis Program (EnMAP) mission in order to generate new products mapping new Essential Biodiversity Variables describing plant physiology and vegetation traits and structure.

Mr.PARTS: Minirhizotron Phenology and Root Traits
Mr.PARTS aims to develop a new, remote-operated minirhizotron (a method for non-destructive and repeatable observation of soil systems), as well as new computer vision tools to ease interpretation of images. This will be used to investigate the drivers of root growth and phenology at high time resolution in both mesocosms and the field, linking root phenology with ecosystem carbon budgets.

TRuStEE: Training on Remote Sensing for Ecosystem modElling
A Marie Sklodowska-Curie Innovative Training Network (MSCA-ITN-ETN) on remote sensing for ecosystem modelling.

oBEF Across: Observing effects of biodiversity on ecosystem functioning across time, space, and wavelength
The project addresses this topic by exploring the potential of the Sentinels, EnMap, and ESA-Flex missions for revealing influence of Biodiversity on Ecosystem Functioning (BEF) across environmental gradients, and to assess their temporal “stability”. This project will generate and test new hypothesis, for instance regarding the post-disturbance BEF recovery. Key questions in the context of “biodiversity patterns” and “biodiversity functions” will profit and be broadened. The project is funded by German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig. This project is a collaborative effort among MPI-BGC (Max-Planck Institute for Biogeochemistry), UL (University of Leipzig), and UFZ (Helmholtz-Centre for Environmental Research).

FLEXSense - FLEX Sentinel Tandem Experiment ?
In the FLEXSense project we provide ground observations in the MANIP experimental sites to interpret airborne measurements of fluorescence collected with the HyPlant sensor in the context of the FLEX Sentinel Tandem Experiment. The prohject is funded by ESA.

DEHESHyrE

Experiments

MANIP MAnipulation NItrogen and Phosphorous

SMANIE small-scale manipulation experiment

LTF long-term fate of N from fertilizer experiment

Tools

This is the collection of software and scripts developed by the BAIE group, many in collaboration with other Institutes, and made available for the community:

Phenopix - R package for the analysis of digital repeat photography archives (developed together with G. Filippa, E.Cremonese, A.D. Richardson, M.Forkel)
REddyProc - R package for the gap filling and partitioning of eddy covariance flux data (developed together with A.M Moffat, T.Wutzler, M.Reichstein, O. Menzer)
REddyProcWeb - Online Tool Online tool for u* filtering, gap-filling and partitioning of eddy covariance flux data. The new tool implements the same standardized methods of Reichstein et al. (2005) as the old online tool - with the algorithms migrated from PV-Wave to R.
RespChamb - R package for the analysis of chambers data (O. Perez-Priego, T.Wutzler)
FieldSpectroscopyCC - R package for Characterization and Calibration of spectrometers (developed by Tommaso Julitta, Mirco Migliavacca, and Thomas Wutzler)
FieldSpectroscopyDP - R package for processing fieldspectroscopy data(developed by Tommaso Julitta, Mirco Migliavacca, and Thomas Wutzler)
Multiple-constraint inversion of SCOPE model using the approach described in Pacheco-Labrador et al., (2019), Remote Sensing of Environment.
senSCOPE model: modified version of the Soil Canopy Observation, Photochemistry and Energy fluxes (SCOPE, Van der Tol at al. 2009) model to account for mixed green and senescent canopies, typical conditions of semi arid grasslands (Pacheco-Labrador et al., (2020))

Data

This is the collection of datasets collected or elaborated by BAIE group and made available for the community:

Nair, Richard K F, Morris, Kendalynn A, Hertel, Martin, Luo, Yunpeng, Moreno, Gerardo, Reichstein, Markus, Schrumpf, Marion, Migliavacca, Mirco. (2019). MrPARTS / MANIP Root Data [Data set]. Zenodo. http://doi.org/10.5281/zenodo.2651060: this dataset contains root measurements collected in the MaNiP experiment at the experimental site Majadas de Tietar between November 2016 and May 2018. We collected direct measurements of root biomass, ingrowth cores (always initiated in December of the previous year to sampling date) and minirhizotron measurements from approximately every other month during the growing season. These data are reported in Nair et al., (2018) along with commentary on the methods of sampling. In this dataset we include data as shown in the paper; this includes the top 13 cm of fine root biomass (the majority of fine roots at most times of the year).
Carrara, Arnaud, El-Madany, Tarek Sebastian, Lopez-Jimenez, Ramon, Hertel, Martin, Kolle, Olaf, Knauer, Jürgen, … Migliavacca, Mirco. (2018). Majadas de Tietar: Ecosystem level and understorey carbon, water, and energy fluxes in a Mediterranean tree-grass ecosystem (Version 1.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.1314194 This dataset contains a subset of measurements collected at the experimental site Majadas de Tietar. We collected ecosystem level and understorey carbon, water, and energy fluxes in a Mediterranean Savanna using the eddy covariance technique and a series of meteorological sensors for the time period December 2015 - February 2018. The dataset is used for the development of a series of R packages including 'bigleaf' (Knauer et al., 2018).
ICOS Ecosystem Thematic Centre and Majadas Del Tietar North: Drought-2018 ecosystem eddy covariance flux product from Majadas del Tietar North, , doi:10.18160/WW2R-8QDY, 2019. Carbon, water, and energy fluxes in measured in a Mediterranean Savanna (FLUXNET ID ES-LM1) using the eddy covariance technique and a series of meteorological sensors for the time period January 2014 - January 2019 (El-Madany et al., 2018; Luo et al., 2019)
ICOS Ecosystem Thematic Centre and Majadas Del Tietar South: Drought-2018 ecosystem eddy covariance flux product from Majadas del Tietar South, , doi:10.18160/9XYZ-1RF8, 2019. Carbon, water, and energy fluxes in measured in a Mediterranean Savanna (FLUXNET ID ES-LM2) using the eddy covariance technique and a series of meteorological sensors for the time period January 2014 - January 2019 (El-Madany et al., 2018; Luo et al., 2019)
ICOS Ecosystem Thematic Centre and Albuera: Drought-2018 ecosystem eddy covariance flux product from Albuera, , doi:10.18160/FKAQ-GC38, 2019. Carbon, water, and energy fluxes in measured in a Mediterranean Savanna (FLUXNET ID ES-Abr) using the eddy covariance technique and a series of meteorological sensors for the time period January 2015 - January 2019 (Luo et al., 2019; El-Madany et al., in review)
Multiple-constraint inversion of SCOPE model: code and dataset used for the estimation of functional traits from a combination of optical data, sun induced fluorescence, and carbon fluxes: Pacheco-Labrador et al., (2019), Remote Sensing of Environment.

Follow link for the complete list of publications by the research group since July 2013.

Key publications

MANIP Project

Morris, K. A., Nair, R. K. F., Moreno, G., Schrumpf, M., Migliavacca, M. (2019). Fate of N additions in a multiple resource-limited Mediterranean oak savanna. Ecosphere, 10(11): e02921. doi:10.1002/ecs2.2921. https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/ecs2.2921

Nair, R. K. F., Morris, K. A., Hertel, M., Luo, Y., Moreno, G., Reichstein, M., Schrumpf, M., Migliavacca, M. (2019). N: P stoichiometry and habitat effects on Mediterranean savanna seasonal root dynamics. Biogeosciences, 16(9), 1883-1901. doi:10.5194/bg-16-1883-2019.doi:10.3390/rs10081293

Luo, Y., El-Madany, T.S., Filippa, G., Ma, X., Ahrens, B. , Carrara, A., Gonzalez-Cascon, R., Cremonese, E., Galvagno, M., Hammer, T. W., Pacheco-Labrador, J. , Martín, P.M., Moreno, G., Perez-Priego, O., Reichstein, M., Richardson, A.D., Römermann, C.,Migliavacca M. (2018) Using Near-Infrared-Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree–Grass Ecosystems. Remote Sens. 2018, 10, 1293; doi:10.3390/rs10081293

Perez-Priego, O., Katul, G., Reichstein, M., El-Madany, T. S., Ahrens, B., Carrara, A., Scanlon, T. M., Migliavacca, M. (in press) Partitioning eddy covariance water flux components using physiological and micrometeorological approaches. Journal of Geophysical Research: Biogeosciences. doi:10.1029/2018JG004637

El-Madany, T.S., Reichstein, M., Perez-Priego, O., Carrara, A., Moreno, G.M., Martín, MP, Pacheco-Labrador, J., Wohlfahrt, G., Nieto, H., Weber, U., Kolle, O., Luo, Y., Carvalhais, N., Migliavacca, M. (2018). Drivers of spatio-temporal variability of carbon dioxide and energy fluxes in a Mediterranean savanna ecosystem, Agricultural and Forest Meteorology, Volume 262, Pages 258-278, link

Sippel, S., El-Madany, T. S., Migliavacca, M., Mahecha, M. D., Carrara, A., Flach, M., Kaminski, T., Otto, F. E. L., Thonicke, K., Vossbeck, M., Reichstein, M. (2018). Warm winter, wet spring, and an extreme response in ecosystem functioning on the Iberian Peninsula. Bulletin of the American Meteorological Society, 99(1), S80-S85. doi:10.1175/BAMS-D-17-0135.1.

Hilman, B., Muhr, J., Trumbore, S. E., Carbone, M. S., Yuval, P., Wright, S. J., Moreno, G., Pérez-Priego, O., Migliavacca, M., Carrara, A., Grünzweig, J. M., Osem, Y., Weiner, T., Angert, A. (2018). Comparison of CO2 and O2 fluxes demonstrate retention of respired CO2 in tree stems from a range of tree species. Biogeosciences Discussions. doi:10.5194/bg-2018-256.

Migliavacca, M. , Perez-Priego, O., Rossini, M., El-Madany T.S., Moreno, G., van der Tol, C., Rascher, U., Berninger, A., Bessenbacher, V., Burkart, A. .. , Reichstein, M., '(2017). Plant functional traits and canopy structure control the relationship between photosynthetic CO2 uptake and far-red sun induced fluorescence in a Mediterranean grassland under different nutrient availability, New Phytologist, 214, 3, 1078-1091.

Perez-Priego, O., El-Madany T.S., Migliavacca, M., Kowalski A.S., Jung M., Carrara A. ,Kolle O., Martín M. P., Pacheco-Labrador J., Moreno G. , Reichstein, M. (2017) Evaluation of eddy covariance latent heat fluxes with independent lysimeter and sapflow estimates in a Mediterranean savannah ecosystem. Agricultural and Forest Meteorology, 236 DOI: 10.1016/j.agrformet.2017.01.009

Pacheco-Labrador J., El-Madany T.S., Martín P.M., Migliavacca M., Rossini M., Carrara A. and Zarco-Tejada P.J. (2017) Spatio-Temporal Relationships between Optical Information and Carbon Fluxes in a Mediterranean Tree-Grass Ecosystem. Remote Sens. 2017, 9, 608; doi:10.3390/rs9060608

Biosphere-Atmosphere Interactions and FLUXNET synthesis

Knauer, J., El-Madany, T. S., Zaehle, S., Migliavacca, M. (2018). Bigleaf—An R package for the calculation of physical and physiological ecosystem properties from eddy covariance data. PLoS One, 13(8): e0201114. doi:10.1371/journal.pone.0201114.

Wutzler, T., Lucas-Moffat, A., Migliavacca, M., Knauer, J., Sickel, K., Šigut, L., Menzer, O., Reichstein, M. (2018). Basic and extensible post-processing of eddy covariance flux data with REddyProc. Biogeosciences, 15, 5015–5030, 2018. https://doi.org/10.5194/bg-15-5015-2018, 2018.

Musavi, T., Migliavacca, M., Reichstein, M., Kattge, J., Wirth, C., Black, T. A., Janssens, I., Knohl, A., Loustau, D., Roupsard, O., Varlagin, A., Rambal, S., Cescatti, A., Gianelle, D., Kondo, H., Tamrakar, R., Mahecha, M.D. (2017) Stand age and species richness dampen interannual variation of ecosystem-level photosynthetic capacity. Nature Ecology & Evolution. 1, 0048. doi:10.1038/s41559-016-0048.

Migliavacca, M. et al., (2015). Influence of physiological phenology on the seasonal pattern of ecosystem respiration in deciduous forests. Global Change Biology: DOI: 10.1111/gcb.12671.

Carvalhais, N., Forkel, M., Khomik, M., Bellarby, J., Jung, M., Migliavacca, M., Mu, M., Saatchi, S., Santoro, Thurner, M., , 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

Migliavacca, M., Reichstein, M., Richardson, A.D., Colombo, R., Sutton, M., Lasslop, G., Tomelleri, E., Wohlfahrt, G., Carvalhais, N., Cescatti, A., Mahecha, M.D., Montagnani, L., Papale, D., Zaehle, S., Arain, A., Arneth, A., Baldocchi, D.D., Black, A.T., Dore, S., Gianelle, D., Helfter, C., Hollinger, D., Rodeghiero, M., Roupsard, O., Sebastia, M.-T., Seufert, G., Soussana, J.-F. and van der Molen, M.K. Semi-empirical modeling of abiotic and biotic factors controlling ecosystem respiration across eddy covariance sites (2011) Global Change Biology. DOI: 10.1111/j.1365-2486.2010.02243.x

Mahecha, M.D., Reichstein, M., Carvalhais, N., Lasslop, G., Lange, H., Seneviratne, S.I., Vargas, R., Ammann, C., Arain, M.A., Cescatti, A., Janssens, I.A., Migliavacca, M., Montagnani, L. and Richardson, A.D. (2010) Global Convergence in the Temperature Sensitivity of Respiration at Ecosystem Level. Science, 329, 838-840.
Please find a mini summary here Nature Geoscience Research Highlight and an in depth Perspective by Peter Reich: The Carbon Dioxide Exchange, Science, 329, 774-775, followed up by a Comment by Eric Davidson, Science, 330, 1176-1177. Moreover, we see the need to give some clarifications in response to media, Klarstellungen zum Medienecho, Chiarimento in risposta ai media

Migliavacca, M.; Meroni, M.; Manca, G.; Matteucci, G.; Montagnani, L.; Grassi G.; Zenone, T.; Teobaldelli, M.; Goded, I.; Colombo, R. and Seufert, G. (2009).Seasonal and interannual patterns of carbon and water fluxes of a poplar plantation in Northern Italy. Agricultural and Forest Meteorology, 149 (9), pp 1460-1476.

Phenology and Ecosystem Processes

Filippa, G., Cremonese, E., Migliavacca, M., Galvagno, G., Forkel, M., Wingate, L., Tomelleri, E., Morra di Cella, U., Richardson, A.D., Phenopix: A R package for image-based vegetation phenology, Agricultural and Forest Meteorology, Volume 220, 15 April 2016, Pages 141-150, ISSN 0168-1923, http://dx.doi.org/10.1016/j.agrformet.2016.01.006.

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

Galvagno, M., Wohlfahrt, G., Cremonese, E., Rossini, M., Colombo, R., Filippa, G., Julitta, T., Manca, G., Siniscalco, C., di Cella, U Morra, and Migliavacca, M., Phenology and carbon dioxide source/sink strength of a subalpine grassland in response to an exceptionally short snow season (2013) Environmental Research Letters, 8 (2), 25008.

Richardson, A.D., Keenan, T.F., Migliavacca, M., Ryu, Y., Sonnentag, O., Toomey, M. Climate change, phenology, and phenological control of vegetation feedbacks to the climate system (2013) Agricultural and Forest Meteorology, 169, pp. 156-173.

Migliavacca, M., Sonnentag, O., Keenan, T.F., Cescatti, A., O'Keefe, J., Richardson, A.D. On the uncertainty of phenological responses to climate change, and implications for a terrestrial biosphere model (2012) Biogeosciences, 9 (6), pp. 2063-2083.

Migliavacca, M., Galvagno M., Cremonese E., Rossini M., Meroni M., Sonnentag O.,Cogliati S., Manca G., Diotri F., Busetto L., Cescatti A., Colombo R., Fava F., Morra di Cella U.,Pari E., Siniscalco C. & Richardson A.D. Using digital repeat photography and eddy covariance data to model grassland phenology and photosynthetic CO2 uptake (2012) Agricultural and Forest Meteorology, 151, 1325-1337.

Migliavacca, M., Cremonese E., Colombo R., Busetto L., Galvagno M., Ganis L., Meroni M., PariE., Rossini M., Siniscalco C. and Morra di Cella U. (2008). European larch phenology in the Alps: can we grasp the role of ecological factors by combining field observations and inverse modelling? International Journal of Biometeorology. Vol. 52, No. 7, pp. 587-605.

Ecosystem modelling and integration with remote/proximal sensing

Martini, D., Pacheco-Labrador, J., Perez-Priego, O., van der Tol, C., El-Madany, T.S., Julitta, T., Rossini, M., Reichstein, M., Christiansen, R., Rascher, U., Moreno, G., Martín, M.P., Yang, P., Carrara, A., Guan, J., González-Cascón, R., Migliavacca, M. (2019) Nitrogen and Phosphorus Effect on Sun-Induced Fluorescence and Gross Primary Productivity in Mediterranean Grassland. Remote Sens. Remote Sensing. 11, 2562.

Pacheco-Labrador, J., Perez-Priego, O., El-Madany, T. S., Julitta, T., Rossini, M., Guan, J.-H., Moreno, G., Carvalhais, N., Martín, M. P., Gonzalez-Cascon, R., Kolle, O., Reichstein, M., van der Tol, C., Carrara, A., Martini, D., Hammer, T. W., Moossen, H., Migliavacca, M. (2019). Multiple-constraint inversion of SCOPE. Evaluating the potential of GPP and SIF for the retrieval of plant functional traits. Remote Sensing of Environment, 234: 111362. doi:10.1016/j.rse.2019.111362

Migliavacca, M. , Perez-Priego, O., Rossini, M., El-Madany T.S., Moreno, G., van der Tol, C., Rascher, U., Berninger, A., Bessenbacher, V., Burkart, A. .. , Reichstein, M., '(2017). Plant functional traits and canopy structure control the relationship between photosynthetic CO2 uptake and far-red sunâ€induced fluorescence in a Mediterranean grassland under different nutrient availability, New Phytologist, 214, 3, 1078-1091.

Perez-Priego, O., Guan, J., Rossini, M., Fava, F., Wutzler, T., Moreno, G., Carvalhais, N., Carrara, A., Kolle, O., Julitta, T., Schrumpf, M., Reichstein, M., Migliavacca, M. (2015). Sun-induced Chlorophyll fluorescence and PRI improve remote sensing GPP estimates under varying nutrient availability in a typical Mediterranean savanna ecosystem. Biogeosciences, 12(14), 11891-11934. doi:10.5194/bgd-12-11891-2015

Musavi, T., Mahecha, M.D., Migliavacca, M., Reichstein, M., van de Weg, M. J., van Bodegom, P. M., Bahn, M., Wirth, C., Reich, P. B., Schrodt, F., Kattge, J. (2015). The imprint of plants on ecosystem functioning: A data-driven approach. International Journal of Applied Earth Observation and Geoinformation, 43, 119-131. doi:10.1016/j.jag.2015.05.009.

Migliavacca, M., Dosio, A., Camia, A., Hobourg, R., Houston-Durrant, T., Kaiser, J. W., Khabarov, N., Krasovskii, A. A., Marcolla, B., Miguel-Ayanz, J. S., Ward, D. S., Cescatti, A. (2013). Modeling biomass burning and related carbon emissions during the 21st century in Europe. Journal of Geophysical Research-Biogeosciences,118(4), 1732-1747. doi:10.1002/2013JG002444

Migliavacca, M.., Dosio, A., Kloster, S., Ward, DS., Camia, A., Houborg, R., Houston Durrant, T., Khabarov, N., Krasovskii, AA., San Miguel-Ayanz, J., and Cescatti, A., Modeling burned area in Europe with the Community Land Model (2013) Journal of Geophysical Research: Biogeosciences.

Houborg, R., Cescatti, A., Migliavacca, M., Kustas, W.P. Satellite retrievals of leaf chlorophyll and photosynthetic capacity for improved modeling of GPP (2013) Agricultural and Forest Meteorology, 177, pp 10-23.

Migliavacca, M.; Meroni, M.; Busetto, L.; Colombo, R.; Zenone, T.; Matteucc,i G.; Manca, G. and Seufert, G. Modeling Gross Primary Production of Agro-Forestry Ecosystems by Assimilation of Satellite Derived Information in a Process-Based Model (2009) Sensors, 9(2), 922-942; doi:10.3390/s90200922.

Rossini, M., Meroni, M., Migliavacca, M., Manca, G., Cogliati, S., Busetto, L., Picchi, V., Cescatti, A., Seufert, G. and Colombo, R., High resolution field spectroscopy measurements for estimating gross ecosystem production in a rice field (2010) Agricultural and Forest Meteorology, 150: 1283-1296