Use este identificador para citar ou linkar para este item: http://repositorio.bc.ufg.br/handle/ri/12037
Tipo do documento: Artigo
Título: Multi-objective optimization in systematic conservation planning and the representation of genetic variability among populations
Autor: Santos, Shana Schlottfeldt
Walter, Maria Emília Machado Telles
Carvalho, André Carlos Ponce de Leon Ferreira de
Soares, Thannya Nascimento
Telles, Mariana Pires de Campos
Loyola, Rafael Dias
Diniz Filho, José Alexandre Felizola
Abstract: Biodiversity crises have led scientists to develop strategies for achieving conservation goals. The underlying principle of these strategies lies in systematic conservation planning (SCP), in which there are at least 2 conflicting objectives, making it a good candidate for multi-objective optimization. Although SCP is typically applied at the species level (or hierarchically higher), it can be used at lower hierarchical levels, such as using alleles as basic units for analysis, for conservation genetics. Here, we propose a method of SCP using a multi-objective approach. We used non-dominated sorting genetic algorithm II in order to identify the smallest set of local populations of Dipteryx alata (baru) (a Brazilian Cerrado species) for conservation, representing the known genetic diversity and using allele frequency information associated with heterozygosity and Hardy-Weinberg equilibrium. We worked in 3 variations for the problem. First, we reproduced a previous experiment, but using a multi-objective approach. We found that the smallest set of populations needed to represent all alleles under study was 7, corroborating the results of the previous study, but with more distinct solutions. In the 2nd and 3rd variations, we performed simultaneous optimization of 4 and 5 objectives, respectively. We found similar but refined results for 7 populations, and a larger portfolio considering intraspecific diversity and persistence with populations ranging from 8-22. This is the first study to apply multi-objective algorithms to an SCP problem using alleles at the population level as basic units for analysis.
Palavras-chave: Conservation planning
Multi-objective optimization
Metaheuristics
Genetic variability
Biodiversity
País: Brasil
Instituição: Fundação de Pesquisas Científicas de Ribeirão Preto
Unidade acadêmica: Instituto de Ciências Biológicas - ICB (RG)
Citação: SCHLOTTFELDT, S.; WALTER, M.E. M. T.; CARVALHO, A. C. P. L. F.; SOARES, T. N.; TELLES, M. P. C.; LOYOLA, R. D.; DINIZ FILHO, J. A. F. Multi-objective optimization in systematic conservation planning and the representation of genetic variability among populations. Genetics and Molecular Research, Ribeirão Preto, v. 14, n. 2, p. 6744-6761, June 2015.
Tipo de acesso: Acesso Aberto
Identificador do documento: 10.4238/2015.June.18.18
Identificador do documento: 10.4238/2015.June.18.18
URI: http://repositorio.bc.ufg.br/handle/ri/12037
Data de publicação: Jun-2015
Aparece nas coleções:ICB - Artigos publicados em periódicos

Arquivos associados a este item:
Arquivo Descrição TamanhoFormato 
Artigo - Shana Schlottfeldt Santos - 2015.pdf1,52 MBAdobe PDFThumbnail
Baixar/Abrir


Este item está licenciada sob uma Licença Creative Commons Creative Commons