Remote sensing and ecosystem modeling to simulate terrestrial carbon fluxes




Carbon fluxes (GPP, NEP), forest, water stress, Monteith, BIOM-BGC


The main goal of this thesis is the establishment of a framework to analyze the forest ecosystems in peninsular Spain in terms of their role in the carbon cycle. In particular, the carbon fluxes that they exchange with atmosphere are modeled to evaluate their potential as carbon sinks and biomass reservoirs. The assessment of gross and net carbon fluxes is performed at 1-km spatial scale and on a daily basis using two different ecosystem models, Monteith and BIOME-BGC, respectively. These models are driven by a combination of satellite and ground data, part of the latter being also employed as a complementary data source and in the validation process.


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Author Biography

Sergio Sánchez-Ruiz, Universitat de València

Environmental Remote Sensing group (UV-ERS)

As. Prof. of Applied Physics and membor of UV-ERS (University of Valencia Environmental Remote Sensing Group).

Main research topics: ecosystem carbon fluxes, vegetation indices, time series, desertification, and, in general, the study of vegetation using spectral data (from visible, near and middle infrared).


Chiesi, M., Maselli, F., Moriondo, M., Fibbi, L., Bindi, M., Running, S.W. 2007. Application of BIOME-BGC to simulate Mediterranean forest processes. Ecol. Modell., 206, 179-190.

Gilabert, M.A., Moreno, A., Maselli, F., Martínez, B., Chiesi, M., Sánchez-Ruiz, S., García-Haro, F.J., Pérez-Hoyos, A., Campos-Taberner, M., PérezPriego, O., Serrano-Ortiz, P., Carrara, A. 2015. Daily GPP estimates in Mediterranean ecosystems by combining remote sensing and meteorological data. ISPRS J. Photogramm. Remote Sens., 102, 184-197.

Gilabert, M.A., Sánchez-Ruiz, S., Moreno, A. 2017. Annual gross primary production from vegetation indices: A theoretically sound approach, Remote Sens., 9, 193. 10.3390/rs9030193

Maselli, F., Chiesi, M., Moriondo, M., Fibbi, L., Bindi, M., Running, S.W. 2009. Modelling the forest carbon budget of a Mediterranean region through the integration of ground and satellite data. Ecol. Modell., 220, 330-342.

Monteith, J.L. 1972. Solar Radiation and Productivity in Tropical Ecosystems. J. Appl. Ecol., 9, 747-766.

Moreno, A. 2014. Retrieval and assessment of CO2 uptake by Mediterranean ecosystems using remote sensing and meteorological data, Ph.D. Thesis, Universitat de València. Available at do?ref=1086837#

Sánchez-Ruiz, S., Moreno, A., Piles, M., Maselli, F., Carrara, A., Running, S., Gilabert, M.A. 2017. Quantifying water stress effect on daily light use efficiency in Mediterranean ecosystems using satellite data, Int. J. Digit. Earth, 106, 623-638. 10.1080/17538947.2016.1247301

Sánchez-Ruiz, S., Chiesi, M., Fibbi, L., Carrara, A., Maselli, F., Gilabert, M.A. 2018. Optimized application of Biome-BGC for modeling the daily GPP of natural vegetation over Peninsular Spain, J. Geophys. Res. Biogeosci., 123, 531-546.

Running, S.W., Hunt, E.R.J. 1993. Generalization of a forest ecosystem process model for other biomes, BIOME-BGC, and an application for global-scale models. In: Scaling Physiological Processes: Leaf to Globe (ed.: Ehleringer, J. R., Field, C.B.). San Diego, Academic Press, 141-158.

Waring, H.R., Running, S.W. 2007. Forest Ecosystems, 3rd ed. Academic Press, San Diego.

White, M.A., Thornton, P.E., Running, S.W., Nemani, R.R. 2000. Parameterization and Sensitivity Analysis of the BIOME–BGC Terrestrial Ecosystem Model: Net Primary Production Controls. Earth Interact., 4, 1-85. 3562(2000)0042.0.CO;2






Doctoral theses