Skip navigation
Please use this identifier to cite or link to this item:
Files in This Item:
File Description SizeFormat 
ARTIGO_MultiObjectiveOptimization.pdf1,61 MBAdobe PDFView/Open
Title: Multi-objective optimization in systematic conservation planning and the representation of genetic variability among populations
Authors: 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, Jose Alexandre Felizola
Assunto:: Conservação da natureza
Planejamento sistemático de conservação
Variação (Biologia)
Issue Date: 2015
Citation: SCHLOTTFELDT, S. et al. Multi-objective optimization in systematic conservation planning and the representation of genetic variability among populations. Genetics and Molecular Research, Ribeirão Preto, v. 14, p. 6744-6761, 2015. Disponível em: <>. Acesso em: 29 mar. 2016.
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 intra-specific 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.
Licença:: Autorização concedida ao Repositório Institucional da Universidade de Brasília (RIUnB) pelo editor da revista, em 29 mar. 2016, com os seguintes termos: disponível sob Licença Creative Commons 4.0 International, que permite copiar, distribuir e transmitir o trabalho, desde que seja citado o autor e licenciante. Não permite o uso para fins comerciais nem a adaptação desta.
Appears in Collections:CIC - Artigos publicados em periódicos

Show full item record Recommend this item " class="statisticsLink btn btn-primary" href="/handle/10482/19799/statistics">

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.