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Scenarios of selective logging on genetic diversity and basal area of Araucaria angustifolia populations, with base in Ecogene modeling

dc.contributor.authorDal Bem, Edjair Augusto [UNESP]
dc.contributor.authorMessias Bittencourt, Juliana Vitoria
dc.contributor.authorTeixeira de Moraes, Mario Luiz [UNESP]
dc.contributor.authorSebbenn, Alexandre Magno
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniv Tecnol Fed Parana
dc.contributor.institutionIF Inst Florestal Sao Paulo
dc.date.accessioned2018-11-26T16:16:29Z
dc.date.available2018-11-26T16:16:29Z
dc.date.issued2015-06-01
dc.description.abstractThe Ecogene model was used to investigate how selective logging of Araucaria angustifolia trees affects the long-term basal area (BA) and genetic diversity of populations and what are the scenarios of selective logging to ensure sustainability in timber production. The study was conducted with data from microsatellite loci, demographic, ecological in a fragmented population of the species. Selective logging scenarios, representing different combinations of minimum cutting diameter (MCD), intensity of exploitation (IE) and cutting cycle (CC) were studied. For MCD of 50 cm and IE 20, 40 and 90% the AB recovered the original situation after 54, 74 and 84 years, respectively. For MCD 75 cm AB recovery occurred at 31, 44 and 56 years, respectively, and for MCD 100 cm, the recovery time was at most 22 years. The estimated genetic distance between the population in the initial and final age of simulation indicated that the scenarios with larger changes in allele frequencies were based on MCD 50 cm. This is a clear example of the impacts of selective logging on the genetic diversity of exploited populations, and that Brazilian law does not lead to sustained timber production in A. angustifolia. The simulation results show that smaller impacts of selective logging on demography, AB and genetic parameters occur with the adoption of larger MCD and lower IE.en
dc.description.affiliationUNESP Univ Estadual Paulista Julio de Mesquita Fi, FEIS, Agron, BR-15385000 Ilha Solteira, SP, Brazil
dc.description.affiliationUniv Tecnol Fed Parana, BR-84016210 Ponta Grossa, PR, Brazil
dc.description.affiliationUNESP Univ Estadual Paulista Julio de Mesquita Fi, FEIS, Dept Fitotecnia Tecnol Alimentos & Socioecon, BR-15385000 Ilha Solteira, SP, Brazil
dc.description.affiliationIF Inst Florestal Sao Paulo, BR-01059970 Sao Paulo, SP, Brazil
dc.description.affiliationUnespUNESP Univ Estadual Paulista Julio de Mesquita Fi, FEIS, Agron, BR-15385000 Ilha Solteira, SP, Brazil
dc.description.affiliationUnespUNESP Univ Estadual Paulista Julio de Mesquita Fi, FEIS, Dept Fitotecnia Tecnol Alimentos & Socioecon, BR-15385000 Ilha Solteira, SP, Brazil
dc.format.extent453-466
dc.identifier.citationScientia Forestalis. Piracicaba: Ipef-inst Pesquisas Estudos Florestais, v. 43, n. 106, p. 453-466, 2015.
dc.identifier.issn1413-9324
dc.identifier.urihttp://hdl.handle.net/11449/160729
dc.identifier.wosWOS:000359895100021
dc.language.isopor
dc.publisherIpef-inst Pesquisas Estudos Florestais
dc.relation.ispartofScientia Forestalis
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectConifers
dc.subjectsustainable forest management
dc.subjectspecies of sub-tropical trees
dc.subjectselective logging
dc.subjectsimulation models
dc.titleScenarios of selective logging on genetic diversity and basal area of Araucaria angustifolia populations, with base in Ecogene modelingen
dc.typeArtigo
dcterms.rightsHolderIpef-inst Pesquisas Estudos Florestais
dspace.entity.typePublication
unesp.departmentFitotecnia, Tecnologia de Alimentos e Socioeconomia - FEISpt

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