Soil & Vegetation Functioning

Climate, vegetation, and soil interact in manifold ways at different temporal and spatial scales reacting to and exerting feedbacks on ongoing environmental change. We combine experiments and in-situ long-term observation with Earth observations gathered by aircraft and satellites to analyse with data-driven machine learning and theory-driven mechanistic modelling.

Activities and Collaborations

Research in semi-arid tree-grass Dehesa systems

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.
An initiative to upscale biosphere-atmosphere fluxes from FLUXNET sites to continental and global scales more

Ecosystem Functioning

Major axes of terrestrial ecosystem function

Major axes of terrestrial ecosystem function

Migliavacca, M. et al. (2021). The three major axes of terrestrial ecosystem function. Nature, 598, 468-472. doi:10.1038/s41586-021-03939-9

Reichstein, M. et al. (2014). Linking plant and ecosystem functional biogeography. Proc.Natl.Acad.Sci.USA, 111(38), 13697-13702.doi:10.1073/pnas.1216065111

Remote Sensing of Ecosystem Functions

Modeling mixed canopies combining green and brown senesced leaves. Evaluation in a Mediterranean Grassland

Pacheco-Labrador, J. et al.(2021), doi:10.1016/j.rse.2021.112352

Martini, D., et al. (2021), doi:10.1111/nph.17920

Pacheco-Labrador, J. et al. (2019),doi:10.1016/j.rse.2019.111362 more

More Activities and Collaborations

New partitioning methods

New partitioning methods

Tramontana, G., Migliavacca, M., Jung, M., Reichstein, M., Keenan, T. F., Camps-Valls, G., Ogee, J., Verrelst, J., Papale, D. (2020) Partitioning net carbon dioxide fluxes into photosynthesis and respiration using neural networks. Global Change Biology, 26(9), 5235-5253. doi:10.1111/gcb.15203

Keenan, T. F. et al. (2019) doi:10.1038/s41559-019-0809-2
Soil Carbon Turnover

Soil Carbon Turnover

Ahrens, B. et al. (2020). Combination of energy limitation and sorption capacity explains 14C depth gradients. Soil Biology and Biochemistry, 148: 107912. doi:10.1016/j.soilbio.2020.107912

Fan, N. et al. (2020). Apparent ecosystem carbon turnover time: uncertainties and robust features. Earth System Science Data, 12(4), 2517-2536. doi:10.5194/essd-12-2517-2020.
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