MAPEAMENTO DE ÁREAS PRIORITÁRIAS PARA RECUPERAÇÃO UTILIZANDO ANÁLISE MULTICRITÉRIO NA FLORESTA ATLÂNTICA BRASILEIRA

Item

Título
MAPEAMENTO DE ÁREAS PRIORITÁRIAS PARA RECUPERAÇÃO UTILIZANDO ANÁLISE MULTICRITÉRIO NA FLORESTA ATLÂNTICA BRASILEIRA
Raega - O Espaço Geográfico em Análise
Universidade Federal de Lavras
Universidade Federal de Lavras
Description
Universidade Federal de Lavras
Autor
Franciane Carla de Almeida
Eduarda Martiniano de Oliveira Silveira
Lara Lopes de Paiva
Fausto Weimar Acerbi Júnior
Assunto
análise espacial
florestas tropicais
processo analítico hierárquico
Abstract
The collapse of a mining dam with 62 million cubic meters of mud in the Rio Doce basin resulted in the destruction of whole communities and large areas of Atlantic Forest. As forest restoration activities are among the most costly conservation strategies, prioritization of restoration efforts is crucial. In the present article, we mapped priority areas for forest recovery in a portion of the Rio Doce Basin (DO1) using a GIS-based (geographic information system) multicriteria decision analysis (MCDA) employing the weighted linear combination (WLC) method. Five factors with different weights were taken into consideration according to their level of importance: distance from the drainage network, distance from the native vegetation patches, slope, soil class and precipitation. A map of priority areas was produced where 1.73% of the area was classified as very high priority for forest recovery, while 5.18% of the area was classified as high priority, 57.88% as medium priority, 1.34% as low priority and 0.00% as very low priority. The highest weights were both for the distance from the drainage network and the distance from native vegetation, revealing that areas of permanent preservation and those closer to forest fragments are priority areas for forest recovery. MCDA is a flexible and easy-to-implement method generating maps with suitable solutions for forest recovery. The approach taken can be replicated in regions that require support for decision making in environmental planning, such as the Pantanal biome, which is under considerable pressure from deforestation for the expansion of pastures.
volume
46
issue
3
Páginas
113-124
Date
2019
título curto
Universidade Federal de Lavras
Língua
en
doi
10.5380/raega.v46i3.67075
issn
2177-2738
Rights
Direitos autorais 2019 Raega - O Espaço Geográfico em Análise
Coleções
Ra'e Ga