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| dc.contributor | Fundação de Amparo à Pesquisa do Estado de Minas Gerais | en-US |
| dc.contributor | Conselho Nacional de Desenvolvimento Científico e Tecnológico | en-US |
| dc.contributor | Fundação de Amparo à Pesquisa do Estado de Minas Gerais | pt-BR |
| dc.contributor | Conselho Nacional de Desenvolvimento Científico e Tecnológico | pt-BR |
| dc.creator | de Almeida, Franciane Carla | |
| dc.creator | Silveira, Eduarda Martiniano de Oliveira | |
| dc.creator | de Paiva, Lara Lopes | |
| dc.creator | Júnior, Fausto Weimar Acerbi | |
| dc.date | 2019-08-28 | |
| dc.date.accessioned | 2022-03-21T18:27:54Z | |
| dc.date.available | 2022-03-21T18:27:54Z | |
| dc.identifier | https://revistas.ufpr.br/raega/article/view/67075 | |
| dc.identifier | 10.5380/raega.v46i3.67075 | |
| dc.identifier.uri | http://biblioteca-repositorio.clacso.edu.ar/handle/CLACSO/74643 | |
| dc.description | 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 the Atlantic Forest. As forest restoration activities are among the most costly conservation strategies, prioritization of restoration efforts is crucial. In the present article, this study 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 in which 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 attributed to 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 which generates maps with suitable solutions for forest recovery. The chosen approach can be replicated in regions that require support for decision making in environmental planning, such as the Pantanal biome, which is under considerable process of deforestation for the expansion of pastures. | en-US |
| dc.description | 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. | pt-BR |
| dc.format | application/pdf | |
| dc.format | application/pdf | |
| dc.language | eng | |
| dc.language | por | |
| dc.publisher | UFPR | pt-BR |
| dc.relation | https://revistas.ufpr.br/raega/article/view/67075/39348 | |
| dc.relation | https://revistas.ufpr.br/raega/article/view/67075/39310 | |
| dc.rights | Direitos autorais 2019 Raega - O Espaço Geográfico em Análise | pt-BR |
| dc.source | RA'E GA Journal - The Geographic Space in Analysis; v. 46, n. 3 (2019): 7º GeoPantanal - Simpósio de Geotecnologias no Pantanal; 113-124 | en-US |
| dc.source | Raega - O Espaço Geográfico em Análise; v. 46, n. 3 (2019): 7º GeoPantanal - Simpósio de Geotecnologias no Pantanal; 113-124 | pt-BR |
| dc.source | 2177-2738 | |
| dc.source | 1516-4136 | |
| dc.source | 10.5380/raega.v46i3 | |
| dc.subject | en-US | |
| dc.subject | tropical forests; spatial analysis; analytical hierarchical process | en-US |
| dc.subject | florestas tropicais; análise espacial; processo analítico hierárquico | pt-BR |
| dc.title | Mapping Priority Areas for Forest Recovery using Multicriteria Analysis in the Brazilian Atlantic Forest | pt-BR |
| dc.title | MAPPING PRIORITY AREAS FOR FOREST RECOVERY USING MULTICRITERIA ANALYSIS IN THE BRAZILIAN ATLANTIC FOREST | en-US |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
| dc.type | pt-BR |
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