Spatial Patterns of Farmland Abandonment in Rio de Janeiro State
| Autor: | Pedro Castro, Raúl Sánchez Vicens, Rui Pedroso, Sven Lautenbach, Oscar Manuel Baez Villanueva |
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| Rok vydání: | 2018 |
| Předmět: |
010504 meteorology & atmospheric sciences
Agroforestry business.industry 0211 other engineering and technologies 021107 urban & regional planning 02 engineering and technology Spatial distribution 01 natural sciences Metropolitan area Municipal level Geography Agriculture Spatial ecology Land use land-use change and forestry business Cropping 0105 earth and related environmental sciences Federal state |
| Zdroj: | Strategies and Tools for a Sustainable Rural Rio de Janeiro ISBN: 9783319896434 |
| DOI: | 10.1007/978-3-319-89644-1_6 |
| Popis: | While land use change in Brazil is characterized by strong cropland expansion, the federal state of Rio de Janeiro, located in Southeast Brazil, shows an opposite trend: a significant amount of cropland has been abandoned. The temporal and spatial distribution of farmland abandonment in Rio de Janeiro state was analyzed at the municipal level from 1991 to 2013. Developments differ strongly between the different regions. The Norte Fluminense Region, which holds the highest share of cropping area in the state, showed the highest cropland abandonment. This decrease was mainly due to a reduction of the areas used for the cultivation of banana, maize, and sugarcane. In the Baixadas and Metropolitan regions, the reduction of areas for orange plantations played an important role, while the reduction of areas for coffee production was important for mountainous areas. Another transition seems to be the substitution of sugarcane cultivation with pineapple cultivation. Areas for coconut crop production increased mainly in the Quissama municipality. Areas for manioc crop production remained stable throughout the analysis. The patterns identified in this paper will provide an important background for the policymakers in implementing spatially explicit plans for the agricultural sector. |
| Databáze: | OpenAIRE |
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