@Article{RodriguezToma:2016:AbLaHy,
author = "Rodriguez, Daniel Andres and Tomasella, Javier",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "On the ability of large-scale hydrological models to simulate land
use and land cover change impacts in Amazonian basins",
journal = "Hydrological Sciences Journal",
year = "2016",
volume = "61",
number = "10",
pages = "1831--1846",
month = "Aug.",
keywords = "land use and land cover change, large-scale basin hydrology,
hydrological modelling, Amazon, secondary forest, MHD-INPE.",
abstract = "The MHD-INPE model was applied in the Ji-Parana Basin, a
30000km(2) 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.",
doi = "10.1080/02626667.2015.1051979",
url = "http://dx.doi.org/10.1080/02626667.2015.1051979",
issn = "0262-6667",
label = "self-archiving-INPE-MCTI-GOV-BR",
language = "en",
urlaccessdate = "28 abr. 2024"
}