Remote sensing and ecosystem modeling to simulate terrestrial carbon fluxes

  1. Sánchez-Ruiz, Sergio 1
  1. 1 Environmental Remote Sensing group (UV-ERS)
Revue:
Revista de teledetección: Revista de la Asociación Española de Teledetección

ISSN: 1133-0953

Année de publication: 2019

Número: 53

Pages: 87-91

Type: Article

DOI: 10.4995/RAET.2019.11220 DIALNET GOOGLE SCHOLAR lock_openAccès ouvert editor

D'autres publications dans: Revista de teledetección: Revista de la Asociación Española de Teledetección

Objectifs de Développement Durable

Résumé

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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Information sur le financement

This thesis was developed in the framework of the project RESET CLIMATE CGL2012-35831 (Remote sensing of terrestrial essential climate variables: Water stress effect on carbon flux assessment) and ESCENARIOS CGL2016-75239-R (Monitoring carbon fluxes in forest ecosystems and simulation for climate change scenarios), both from the Spanish Ministry of Economy, Industry and Competitiveness (MINECO), and co-financed by FEDER funds. The author was granted with the support of the Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016

Financeurs

Références bibliographiques

  • 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. https://doi.org/10.1016/j.ecolmodel.2007.03.032
  • 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. https://doi.org/10.1016/j.isprsjprs.2015.01.017
  • Gilabert, M.A., Sánchez-Ruiz, S., Moreno, A. 2017. Annual gross primary production from vegetation indices: A theoretically sound approach, Remote Sens., 9, 193. https://doi.org/ 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. https://doi.org/10.1016/j.ecolmodel.2008.10.002
  • 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 https://www.educacion.gob.es/teseo/mostrarRef. 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. https://doi.org/ 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. https://doi.org/10.1002/2017JG004360
  • 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. https://doi.org/10.1175/1087- 3562(2000)0042.0.CO;2
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