RESUMO

Reconciling the restoration of ecosystem services within agricultural landscapes is an effort that has been advancing within degraded areas restoration through agroforestry systems. However, to contribute to the effectiveness of these initiatives, it is essential to integrate landscape vulnerability and local demands to better highlight in which areas the implementation of agroforestry systems should be prioritized. Thus, we developed a spatial hierarchization methodology as a decision support tool as an active strategy for agroecosystem restoration. The proposed method constitutes a spatial indicator of priority areas to guide agroforestry interventions, including resource allocation and public policies for payment for environmental services. The methodology consists of Multicriteria Decision Analysis implemented in GIS software by combining input datasets based on biophysical conditions, environmental and socioeconomic aspects, that integrated promotes an assessment of the environment fragility, the pressures and responses to land use dynamic; a strategy for landscape restoration and conservation of the natural habitats, and multiple specific scenarios for decision making regarding the agricultural and the local actors demands. The output of the model provides the spatial distribution of areas suitable for the implementation of agroforestry systems, sorted into four priority levels (Low, Medium, High, and Extreme priority). The method is a promising tool proposal for territorial management and governance and subsidizes future research on the flows of ecosystem services.•Assessment of the environment fragility and the pressures and responses to land use dynamic.•Strategy for landscape restoration and conservation of remaining natural habitats.•Multiple specific scenarios for decision making regarding the agricultural and the local actors demands.

RESUMO

The ecological functions restoration in agricultural areas is a major challenge on a landscape scale. In the specific case of active restoration through Agroforestry Systems (AFS), the absence of a specific direction hinders ecological restoration processes, especially in regions that prefer intensive agriculture. Thus, this study aims to develop a Spatial Indicator of Priority Areas to guide Agroforestry Systems implementation in agricultural landscapes. A spatial multicriteria decision analysis (MDCA) was carried out based on environmental factors: soil, geology and slope (which determine the natural vulnerability of the land) and anthropogenic factors: land use and land cover, forest fragments, potential land use capacity and legal protected areas in rural properties (which reflects human pressure and land use suitability). Subsequently, four priority levels were classified for agroforestry interventions: (1) Low priority; (2) Average priority; (3) High priority; (4) Extreme priority. A final map was made to identify priority areas for landscape recovery in 9 cities located at the mouth of the Mogi Guaçu River Hydrographic Basin, State of São Paulo, Brazil. Considering the natural vulnerability of the land and the multifunctional aspects of the landscape, the scenarios projection allowed a consensus for forest conservation and agricultural suitability perspectives. A final combination of the explored aspects culminated in the spatial indicator, which model foresees 22,300 ha available for urgent actions for restoration, reforestation and sustainable exploitation through agroforestry systems. We emphasize the challenges in reconciling the socioeconomic and ecological functions in the agroecosystem, however, the metric provides a more inclusive and assertive management strategy for natural resources and advances towards the goal of reforestation and implementation of payment for environmental services (PES) schemes.

Assuntos

Conservação dos Recursos Naturais , Ecossistema , Agricultura , Brasil , Florestas , Humanos

RESUMO

RESUMO Este trabalho propõe indicadores ambientais de políticas públicas com base na espacialização dos parâmetros morfométricos e de conflito de uso em áreas municipais. As técnicas de geoprocessamento de imagens orbitais em sistemas de informações geográficas foram utilizadas para analisar o banco de dados dos valores de cada parâmetro morfométrico da superfície terrestre - área, perímetro, comprimento da rede de drenagem, densidade de drenagem, número de canais, frequência de rios, declividade e coeficiente de rugosidade - e elaborar os mapas temáticos de uso atual, de uso potencial e de conflito de uso do solo. Os dados foram submetidos à análise estatística descritiva e exploratória multivariada. A espacialização dos valores obtidos da caracterização morfométrica gerou indicadores físicos ambientais que possibilitaram a diferenciação de áreas. O conhecimento do sistema hidrológico dessas regiões reflete o sistema natural de drenagem em seu comprimento. O número de canais e conflito de uso indicam áreas prioritárias para gestão ambiental e políticas de uso do solo. Os parâmetros morfométricos são potenciais indicadores ambientais.

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ABSTRACT This study has the main objective to propose environmental indicators for public policies based on spatial distribution of morphometric characteristics and land-use conflicts in municipal areas. The techniques of satellite images in geographic information systems were used to analyze the database of the values of each morphometric parameter of the earth's surface: area, perimeter, length of the drainage system, drainage density, number of channels, river frequency, slope and roughness coefficient and to elaborate thematic maps of current land-use, potential land-use, and land-use conflicts. The data were submitted to descriptive and multivariate exploratory statistical analysis. The spatial distribution of values of morphometric characterization generated environmental physical indicators which enabled the differentiation of areas. The knowledge of the hydrological system in these regions reflects the natural drainage system along its length. The number of channels and the land-use conflicts indicate priority areas for environmental management and land use policies. The morphometric characteristics are potential environmental indicators.