On the ability of large-scale hydrological models to simulate land use and land cover change impacts in Amazonian basins |
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| Authors: | Daniel Andres Rodriguez Javier Tomasella |
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| Institution: | 1. Earth System Science Centre, National Institute for Space Research, Cachoeira Paulista, Brazildaniel.andres@inpe.br;3. Earth System Science Centre, National Institute for Space Research, Cachoeira Paulista, Brazil |
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| Abstract: | ABSTRACTThe MHD-INPE model was applied in the Ji-Parana Basin, a 30 000 km2 catchment located in the southwest of the Amazon Basin which has lost more than 50% of its forest since the 1980s, to simulate land use and land cover change impacts on runoff generation process and how they are related to basin topography. Simulation results agree with observational studies in the sense that fast response processes are significant in sub-basins with steep slopes while in basins with gentle topography, the impacts are most visible in slow-response hydrological processes. On the other hand, the model is not able to capture the dependence of LUCC impacts on spatial scales. These discrepancies are probably associated with limitations in the spatial representation of heterogeneities within the model, which become more relevant at larger scales. We also tested the hypothesis that secondary forest growth should be able to compensate the decrease in evapotranspiration due to forest–cropland or forest–grassland conversion at a regional scale. Results showed that despite the small fraction of secondary forest estimated on the basin, the higher evapotranspiration efficiency of this type of forest counterbalances a large fraction of the LUCC impacts on evapotranspiration. This result suggests that enhanced transpiration due to secondary forest could explain, at least in part, the lack of clear LUCC signals in discharge series at larger scales. EDITOR D. Koutsoyiannis; ASSOCIATE EDITOR T. Wagener |
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| Keywords: | land use and land cover change large-scale basin hydrology hydrological modelling Amazon secondary forest MHD-INPE |
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