Portal Capixaba de Gestao de Aguas e da Paisagem (PCGAP)

A decision support system for the natural resources of Espirito Santo state, Brazil

  The southeastern Brazilian coastal state of Espírito Santo is located in the Atlantic Forest biome, with can area of 46,200 km2. The topography of the state is categorized by 40% lowland coastal landscape and 60% "Serra" highlands. A significant amount of the region's agricultural (coffee and sugar cane in particular), industrial, and mining production occurs within the Rio Doce basin, which originates in the neighboring state of Minas Gerais. The watersheds of the Jucú and the Santa Maria da Vitória rivers are of critical importance to the State because they provide approximately 95 percent of the greater Victoria (capital city) water supply, while generating hydroelectricity. Upstream of Vitoria, land use patterns have resulted in severe erosion, substantially increasing silt loads and reducing the quality and timing of water supplies

      Due to its exceptional level of species diversity and its vulnerability to continuing threats, the area is one of the five -hottest biodiversity hotspots among the world‘s top priority conservation areas. The World Bank-funded Espírito Santo Biodiversity and Watershed Conservation and Restoration Project (FpV) seeks to conserve and restore habitat and natural ecosystem services in the region. But efforts have been hampered by the lack of institutional and individual capacity to implement sustainable land management and water resource management, at both the national and watershed levels. Technical assistance and services that could spread knowledge and skills of new land use practices among landholders and producers is limited relative to demand.

      To support the FpV project, the goal of the Projeto Capixaba de Gestao das Aguas e da Paisagem (PCGAP) is to create the foundation of a sophisticated Decision Support System   that enables scenario analyses for decisions on the resources of Espírito Santo. The system has time series data sets in models that can be utilized by staff in National Agencies to analyze the resource base and develop predictive scenarios and appropriate interventions, with climatic and ecosystem changes in mind. The strategy for PCGAP is to use computer "hydrology/landscape" models to assimilate multi-sector information, within a "dynamic information framework (DIF)," to provide resolutions to the questions of FpV.

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