@Article{MoreiraCosAguCâmCar:2009:DyCoMu,
               author = "Moreira, Evaldinolia and Costa, S{\'e}rgio and Aguiar, Ana Paula 
                         and C{\^a}mara, Gilberto and Carneiro, Tiago",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and Earth System Simulation Laboratory, 
                         TerraLAB, Federal",
                title = "Dynamical coupling of multiscale land change models",
              journal = "Landscape Ecology",
                 year = "2009",
               volume = "24",
               number = "9",
                pages = "1183--1194",
             keywords = "accessibility, biophysics, deforestation, land use change, 
                         modeling, policy making, socioeconomic conditions, software, 
                         Amazonia, South America.",
             abstract = "No single model or scale can fully capture the causes of land 
                         change. For a given region, land changes may have different 
                         impacts at different places. Limits and opportunities imposed by 
                         biophysical and socio-economic conditions, such as local policies 
                         and accessibility, may induce distinct land change trajectories. 
                         These local land change trajectories may, in turn, indirectly 
                         affect other places, as local actions interact with higher-level 
                         driving forces. Such intraregional interdependencies cannot be 
                         captured by studies at a single scale, calling for multiscale and 
                         multilocality studies. This paper proposes a software organization 
                         for building computational models that support dynamical linking 
                         of multiple scales. This structure couples different types of 
                         models, such as cell-space models with agent-based models. We show 
                         how results in multiscale models can flow both in bottom-up and 
                         top-down directions, thus allowing feedback from local actors to 
                         regional scales. The proposal is general and independent of 
                         specific software, and it is effective to model intraregional, 
                         bottom-up and top-down interactions in land change models. To show 
                         the models potential, we develop a case study that shows how a 
                         multiscale model for the Brazilian Amazonia can include feedbacks 
                         between local to regional scales.",
                  doi = "10.1007/s10980-009-9397-x",
                  url = "http://dx.doi.org/10.1007/s10980-009-9397-x",
                 issn = "0921-2973",
                label = "lattes: 0333390666972274 4 MoreiraCosAguCamCar:2009:DyCoMu",
             language = "en",
           targetfile = "moreira_landscape_ecology_2009.pdf",
        urlaccessdate = "21 maio 2024"
}