@Article{FreitasMuņoSantAlve:2018:LaUsCo,
author = "Freitas, Marcos Wellausen Dias de and Muņoz, Pablo and Santos,
Jo{\~a}o Roberto dos and Alves, Di{\'o}genes Salas",
affiliation = "{Universidade Federal do Rio Grande do Sul (UFRGS)} and
{Universidad de La Serena} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)}",
title = "Land use and cover change modelling and scenarios in the Upper
Uruguay Basin (Brazil)",
journal = "Ecological Modelling",
year = "2018",
volume = "384",
pages = "128--144",
keywords = "Land use and cover change, Spatial dynamics model, Cellular
automata model, Scenarios.",
abstract = "The objective of this work was to implement a spatial dynamics
model to simulate land use and cover change (LUCC) in the period
between 1986, 2002 and 2008 and to generate future scenarios until
2030 in an area characterized by multiple, competitive and complex
LUCC processes. The model structure follows the majority of the
existing LUCC models, being composed by six consecutive
procedures: (a) calculation of transition demands, (b) definition
and mapping of LUCC processes, (c) generation of transition
probabilities maps, (d) spatial allocation of transitions, (e)
calibration and validation of the simulation results, (f)
generation of scenarios. The present model which is called
LanDSCAM differs from other LUCC models reported in the literature
in that: (a) LanDSCAM provision for the aggregation of multiple
land use and cover transitions, simplifying LUCC modelling of
study areas with multiple and complex land use and cover
transitions; (b) a mandatory application of user-defined regions
for transition demands calculation, transitions spatial allocation
and model calibration, (c) introduction of specific procedures for
spatial allocation of transitions divided on a deterministic
cellular automata and a stochastic patch generation functions. The
use of a theoretical approach for systems dynamics modelling
allowed an overview on the different models of development by
society. The LUCC model developed in this study provided
contributions to the generation of simulations and scenarios in
situations related to multiple, competitive and complex LUCC
processes.",
doi = "10.1016/j.ecolmodel.2018.06.009",
url = "http://dx.doi.org/10.1016/j.ecolmodel.2018.06.009",
issn = "0304-3800",
language = "en",
targetfile = "freitas_land.pdf",
urlaccessdate = "26 abr. 2024"
}