Planning for optimal conservation of geographical genetic variability within species |
| |
Authors: | José Alexandre Felizola Diniz-Filho Dayane Borges Melo Guilherme de Oliveira Rosane Garcia Collevatti Thannya Nascimento Soares Jo?o Carlos Nabout Jacqueline de Souza Lima Ricardo Dobrovolski Lázaro José Chaves Ronaldo Veloso Naves Rafael Dias Loyola Mariana Pires de Campos Telles |
| |
Institution: | 1. Departamento de Ecologia, ICB, Universidade Federal de Goiás, CxP 131, Goiania, GO, 74001-970, Brazil 2. Programa de Pós-Gradua??o em Agronomia, Escola de Agronomia e Engenharia de Alimentos, Universidade Federal de Goiás, Goiania, GO, 74001-970, Brazil 3. Programa DTI, Universidade Federal de Goiás, Campus Jataí, Rod. BR-364, KM 192, Jataí, GO, 75.800-970, Brazil 4. Departamento de Biologia Geral, ICB, Universidade Federal de Goiás, CxP 131, Goiania, GO, 74001-970, Brazil 5. Unidade de Ciências Exatas e da Terra, Universidade Estadual de Goiás, Anápolis, GO, 75132-400, Brazil 6. Programa de Pos-Gradua??o em Ecologia & Evolu??o, ICB, Universidade Federal de Goiás, CxP 131, Goiania, GO, 74001-970, Brazil 7. Escola de Agronomia e Engenharia de Alimentos, Universidade Federal de Goiás, Goiania, GO, 74001-970, Brazil
|
| |
Abstract: | Systematic Conservation Planning (SCP) involves a series of steps that should be accomplished to determine the most cost-effective way to invest in conservation action. Although SCP has been usually applied at the species level (or hierarchically higher), it is possible to use alleles from molecular analyses at the population level as basic units for analyses. Here we demonstrate how SCP procedures can be used to establish optimum strategies for in situ and ex situ conservation of a single species, using Dipteryx alata (a Fabaceae tree species widely distributed and endemics to Brazilian Cerrado) as a case study. Data for the analyses consisted in 52 alleles from eight microsatellite loci coded for a total of 644 individual trees sampled in 25 local populations throughout species’ geographic range. We found optimal solutions in which seven local populations are the smallest set of local populations of D. alata that should be conserved to represent the known genetic diversity. Combining these several solutions allowed estimating the relative importance of the local populations for conserving all known alleles, taking into account the current land-use patterns in the region. A germplasm collection for this species already exists, so we also used SCP approach to identify the smallest number of populations that should be further collected in the field to complement the existing collection, showing that only four local populations should be sampled for optimizing the species ex situ representation. The initial application of the SCP methods to genetic data showed here can be a useful starting point for methodological and conceptual improvements and may be a first important step towards a comprehensive and balanced quantitative definition of conservation goals, shedding light to new possibilities for in situ and ex situ designs within species. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|