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Identification of Priority Areas for Ecological Restoration in Eastern Pará, Brazil

Por: Tipo de material: ArtigoArtigoAssunto(s): Recursos online: Em: Floresta e Ambiente (Brazil) v. 27(2) p. 1-9; (2020)Sumário: Abstract This study aimed to identify priority areas for the passive restoration of the Arauaí river basin, municipality of Moju, Pará, using a multicriteria model. This basin is located in a region with intense land use dynamics and expansion of oil palm cultivation, and with high forest loss and fragmentation. The Weighted Linear Combination method was used, with the aggregation of five criteria (Natural Erosion Vulnerability, Potential Land Use and Cover to Passive Restoration, Proximity to the Primary Forest, Forest cover deficit in PPAs, and Distance from Roads and Highways). This analysis allowed to evaluate different biophysical classes and types of land use that affect the selection of areas for restoration. A total of 207.82 km² of priority areas for passive restoration were identified in the studied basin, with about 80% of its priority areas having medium to very high priority. The final map generated proved to be a useful instrument in the environmental management of restoration plans in the Amazon watershed. Keywords: multicriteria analysis, land use, forest cover, natural regeneration.
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Periódicos Periódicos Biblioteca Nacional de Agricultura - Binagri Agrobase - Periódicos Periódicos agrícolas 2020 27(2) Online 2025-0456

Publicação on-line; 36 ref.; 3 tables; 4 illus.; Summary (En)



Abstract

This study aimed to identify priority areas for the passive restoration of the Arauaí river basin, municipality of Moju,
Pará, using a multicriteria model. This basin is located in a region with intense land use dynamics and expansion of
oil palm cultivation, and with high forest loss and fragmentation. The Weighted Linear Combination method was
used, with the aggregation of five criteria (Natural Erosion Vulnerability, Potential Land Use and Cover to Passive
Restoration, Proximity to the Primary Forest, Forest cover deficit in PPAs, and Distance from Roads and Highways).
This analysis allowed to evaluate different biophysical classes and types of land use that affect the selection of areas
for restoration. A total of 207.82 km² of priority areas for passive restoration were identified in the studied basin,
with about 80% of its priority areas having medium to very high priority. The final map generated proved to be a
useful instrument in the environmental management of restoration plans in the Amazon watershed.

Keywords: multicriteria analysis, land use, forest cover, natural regeneration.

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