Can a parsimonious model implemented with satellite data be used for modelling the vegetation dynamics and water cycle in water-controlled environments?
RiuNet: Institutional repository of the Polithecnic University of Valencia
Can a parsimonious model implemented with satellite data be used for modelling the vegetation dynamics and water cycle in water-controlled environments?
Ruiz Perez, G.; González-Sanchis, MDC.; Campo García, ADD.; 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. 324:45-53. doi:10.1016/j.ecolmodel.2016.01.002
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/98648
Can a parsimonious model implemented with satellite data be used for modelling the vegetation dynamics and water cycle in water-controlled environments?
[EN] 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 ...[+]
[EN] 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. (C) 2016 Elsevier B.V. All rights reserved.[-]
MINISTERIO DE ECONOMIA INDUSTRIA Y COMPETITIVIDAD /CGL2011-28776-C02-01 MINECO/CGL2014-58127-C3-2-R-AR
Thanks:
The research leading to these results has received funding from the Spanish Ministry of Economy and Competitiveness and FEDER funds, through the research projects INTEGRA (CGL2011-28776-C02) and E-HIDROMED (CGL2014-58127-C3). ...[+]
The research leading to these results has received funding from the Spanish Ministry of Economy and Competitiveness and FEDER funds, through the research projects INTEGRA (CGL2011-28776-C02) and E-HIDROMED (CGL2014-58127-C3). The MODIS data were obtained through the online Data Pool at the NASA Land Processes Distributed Active Archive Center (LP DAAC), USGS/Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota (https://lpdaac.usgs.gov/get_data). The meteorological data were provided by the Spanish National Weather Agency (AEMET).[-]