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- Title
Lógica Fuzzy na determinação de fragmentos florestais potenciais para coleta de sementes.
- Authors
de Oliveira Peluzio, Telma Machado; Esteves Peluzio, João Batista; Pedra de Abreu, Karla Maria; Luiz Ferrari, Jéferson; Horn Kunz, Sustanis; César Fiedler, Nilton; Ferreira Gandine, Quênia Glória; Lorenzoni Paschoa, Luciana de Souza; Melo Moura, Marks; Lemos Moreira, Giselle; Freire Carvalho, Rita de Cássia; Marques Pimentel, Stefania; Figueira Branco, Elvis Ricardo; Machado Peluzio, Lucas; Rosa dos Santos, Alexandre
- Abstract
The tropical forest is extremely exploited and fragmented, making it essential to collect native seeds to meet the growing demand for its restoration and maintenance of biodiversity. Thus, the objective is to select potential forest fragments with a higher degree of conservation for seed harvesting, through the use and association of landscape ecology with fuzzy logic. The study was carried out in the watershed of the Itapemirim river. The stages of selection and photointerpretation of the images were carried out; error determination; application of landscape ecology metric indices; application of fuzzy logic in a computational application and validation of the methodology in loco. 7,515 forest fragments were determined, corresponding to 19.21% of the study area, with 89.53% of hits. Fragments smaller than 5 ha are the most fragile and are at risk of extinction, while those larger than 300 ha have a lower risk of extinction, even with the increase in the edge. With the application of fuzzy logic, the mean was between 0.15, standard deviation of 0.24 and the coefficient of variation at 161.73%. Scenario 1 (FLONA of Pacotuba), has 10.25% of families, 25.92% of genera and 33.62% of species more than Scenario 2 (PEAMA Ifes Campus of Alegre), among the identified individuals. The association of landscape ecology techniques and fuzzy logic made it possible to identify fragments with a higher degree of conservation, with potential for harvesting forest seeds.
- Subjects
ENDANGERED species; GEOGRAPHIC information systems; LANDSCAPE ecology; NATURE conservation; GEOTECHNICAL engineering; LOGGING; FUZZY logic; SEED harvesting
- Publication
Ciência Florestal (01039954), 2023, Vol 33, Issue 3, p1
- ISSN
0103-9954
- Publication type
Article
- DOI
10.5902/1980509870016