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Can a parsimonious model implemented with satellite data be used for modelling the vegetation dynamics and water cycle in water-controlled environments?

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  • Ruiz-Pérez, G.
  • González-Sanchis, M.
  • Del Campo, A.D.
  • Francés, F.

Abstract

Vegetation plays a key role in catchment's water balance, particularly in semi-arid regions that are generally water-controlled ecosystems. Nowadays, many of the available dynamic vegetation models are quite complex and they have high parametrical requirements. However, in operational applications the available information is quite limited. Therefore parsimonious models together with available satellite information can be valuable tools to predict vegetation dynamics. In this work, we focus on a parsimonious model aimed to simulate vegetation and hydrological dynamics, using both field measurements and satellite information to implement it. The results suggest that the model is able to adequately reproduce the dynamics of vegetation as well as the soil moisture variations. In other words, it has been shown that a parsimonious model with simple equations can achieve good results in general terms and it is possible to assimilate satellite and field observations for the model implementation.

Suggested Citation

  • Ruiz-Pérez, G. & González-Sanchis, M. & Del Campo, A.D. & Francés, F., 2016. "Can a parsimonious model implemented with satellite data be used for modelling the vegetation dynamics and water cycle in water-controlled environments?," Ecological Modelling, Elsevier, vol. 324(C), pages 45-53.
  • Handle: RePEc:eee:ecomod:v:324:y:2016:i:c:p:45-53
    DOI: 10.1016/j.ecolmodel.2016.01.002
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    References listed on IDEAS

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    1. Wolf, Annett, 2011. "Estimating the potential impact of vegetation on the water cycle requires accurate soil water parameter estimation," Ecological Modelling, Elsevier, vol. 222(15), pages 2595-2605.
    2. 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," Ecological Modelling, Elsevier, vol. 220(3), pages 330-342.
    3. Chiesi, M. & Maselli, F. & Moriondo, M. & Fibbi, L. & Bindi, M. & Running, S.W., 2007. "Application of BIOME-BGC to simulate Mediterranean forest processes," Ecological Modelling, Elsevier, vol. 206(1), pages 179-190.
    4. Xia, Y.Q. & Shao, M.A., 2008. "Soil water carrying capacity for vegetation: A hydrologic and biogeochemical process model solution," Ecological Modelling, Elsevier, vol. 214(2), pages 112-124.
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    1. Puertes, Cristina & González-Sanchis, María & Lidón, Antonio & Bautista, Inmaculada & del Campo, Antonio D. & Lull, Cristina & Francés, Félix, 2020. "Improving the modelling and understanding of carbon-nitrogen-water interactions in a semiarid Mediterranean oak forest," Ecological Modelling, Elsevier, vol. 420(C).

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