Logging by selective extraction of best trees: Does it change patterns of genetic diversity? : The case of Nothofagus pumilio

Autores
Soliani, Carolina; Gallo, Leonardo Ariel; Marchelli, Paula; Vendramin, Giovanni Giuseppe
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión aceptada
Descripción
Un amplio conocimiento de las consecuencias ecológicas y genéticas de la aplicación de las prácticas de gestión en los ecosistemas naturales es de fundamental importancia para las acciones de conservación. El principal objetivo de este estudio fue evaluar el impacto de las prácticas de gestión de la diversidad genética y la estructura genética espacial contrastando los bosques, a través de un diseño de muestreo de las clases de edad y el uso de marcadores de microsatélites.
Extensive knowledge of the ecological and genetic consequences of implementing management practices (i.e. logging) in natural ecosystems is of fundamental importance to conservation action. Accordingly, characterization of forest genetic resources in managed vs non-managed stands may inform management decisions to ensure the long-term persistence of genetic diversity. The main objective of this study was to evaluate the impact of management practices on the genetic diversity and spatial genetic structure of contrasting forests, through an age-class sampling design and the use of microsatellite markers. We evaluated the impact of logging in three populations of Nothofagus pumilio, a dominant tree species in Patagonian temperate forests, by comparing managed and non-managed stands in each population. Selective extraction of best-featured individuals, i.e. those with forestry aptitude, such as higher trees with straight trunks and good sanitary conditions, was performed between 1990 and 2004. One of the studied sites was located in a state-protected area while the others were on private land affected by grazing. At each managed stand over-mature trees (MF-O), adult remnant trees (MF-A) and seedlings representing forest regeneration (MF-R) after silvicultural management were sampled. In non-managed stands age classes were restricted to adults (CF-A) and seedlings (CF-R). A minimum of 30 individuals per age class were collected, totalling 454 samples which were genotyped at six microsatellite loci. Non-significant differences in genetic diversity were found between managed and natural woods in all populations. A trend towards decreasing frequencies or even allele loss among remnant adults of logged stands can however be interpreted as a sign of impact, probably a consequence of genetic drift. Each site showed particular, different outcomes with respect to genetic structure. While in Pop 1 (Huemules, 42°S) significant genetic differentiation was found between management treatments, admixture of genetic clusters (Bayesian clustering and DAPC analysis) occurred in Pop 2 (Guacho Lake, 43°S) and no genetic structure was found in Pop 3 (Engaño Lake, 43°S). Post-harvest genetic contact between contrasting stands is likely. A Landscape Interpolation Analysis showed clusters of individuals (shared genotypes) spatially restricted for managed stands (significant in Pop 3), whereas a random spatial distribution characterized control forests. Therefore, it is possible that management affected and disrupted the genetic structure. The different genetic patterns revealed for each population call for site-by-site interpretation. Differential intensity and frequency of management practices, presence/absence of livestock in the forest, and evolutionary history may all have had combined effect on current genetic diversity.
EEA Bariloche
Fil: Soliani, Carolina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Vendramin, Giovanni Giuseppe. National Research CouncilDivision of Florence. Institute of Biosciences and BioResources; Italia
Fil: Gallo, Leonardo Ariel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina
Fil: Marchelli, Paula. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fuente
Forest ecology and management 373 : 81-92. (August 2016)
Materia
Producción Forestal
Nothofagus Pumilio
Variación Genética
Aprovechamiento de la Madera
Microsatélites
Forestry Production
Genetic Variation
Logging
Microsatellites
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
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spelling Logging by selective extraction of best trees: Does it change patterns of genetic diversity? : The case of Nothofagus pumilioSoliani, CarolinaGallo, Leonardo ArielMarchelli, PaulaVendramin, Giovanni GiuseppeProducción ForestalNothofagus PumilioVariación GenéticaAprovechamiento de la MaderaMicrosatélitesForestry ProductionGenetic VariationLoggingMicrosatellitesUn amplio conocimiento de las consecuencias ecológicas y genéticas de la aplicación de las prácticas de gestión en los ecosistemas naturales es de fundamental importancia para las acciones de conservación. El principal objetivo de este estudio fue evaluar el impacto de las prácticas de gestión de la diversidad genética y la estructura genética espacial contrastando los bosques, a través de un diseño de muestreo de las clases de edad y el uso de marcadores de microsatélites.Extensive knowledge of the ecological and genetic consequences of implementing management practices (i.e. logging) in natural ecosystems is of fundamental importance to conservation action. Accordingly, characterization of forest genetic resources in managed vs non-managed stands may inform management decisions to ensure the long-term persistence of genetic diversity. The main objective of this study was to evaluate the impact of management practices on the genetic diversity and spatial genetic structure of contrasting forests, through an age-class sampling design and the use of microsatellite markers. We evaluated the impact of logging in three populations of Nothofagus pumilio, a dominant tree species in Patagonian temperate forests, by comparing managed and non-managed stands in each population. Selective extraction of best-featured individuals, i.e. those with forestry aptitude, such as higher trees with straight trunks and good sanitary conditions, was performed between 1990 and 2004. One of the studied sites was located in a state-protected area while the others were on private land affected by grazing. At each managed stand over-mature trees (MF-O), adult remnant trees (MF-A) and seedlings representing forest regeneration (MF-R) after silvicultural management were sampled. In non-managed stands age classes were restricted to adults (CF-A) and seedlings (CF-R). A minimum of 30 individuals per age class were collected, totalling 454 samples which were genotyped at six microsatellite loci. Non-significant differences in genetic diversity were found between managed and natural woods in all populations. A trend towards decreasing frequencies or even allele loss among remnant adults of logged stands can however be interpreted as a sign of impact, probably a consequence of genetic drift. Each site showed particular, different outcomes with respect to genetic structure. While in Pop 1 (Huemules, 42°S) significant genetic differentiation was found between management treatments, admixture of genetic clusters (Bayesian clustering and DAPC analysis) occurred in Pop 2 (Guacho Lake, 43°S) and no genetic structure was found in Pop 3 (Engaño Lake, 43°S). Post-harvest genetic contact between contrasting stands is likely. A Landscape Interpolation Analysis showed clusters of individuals (shared genotypes) spatially restricted for managed stands (significant in Pop 3), whereas a random spatial distribution characterized control forests. Therefore, it is possible that management affected and disrupted the genetic structure. The different genetic patterns revealed for each population call for site-by-site interpretation. Differential intensity and frequency of management practices, presence/absence of livestock in the forest, and evolutionary history may all have had combined effect on current genetic diversity.EEA BarilocheFil: Soliani, Carolina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Vendramin, Giovanni Giuseppe. National Research CouncilDivision of Florence. Institute of Biosciences and BioResources; ItaliaFil: Gallo, Leonardo Ariel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; ArgentinaFil: Marchelli, Paula. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina2017-09-25T15:39:23Z2017-09-25T15:39:23Z2016info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/1316http://www.sciencedirect.com/science/article/pii/S03781127163019180378-1127https://doi.org/10.1016/j.foreco.2016.04.032Forest ecology and management 373 : 81-92. (August 2016)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-29T13:44:11Zoai:localhost:20.500.12123/1316instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:44:11.645INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Logging by selective extraction of best trees: Does it change patterns of genetic diversity? : The case of Nothofagus pumilio
title Logging by selective extraction of best trees: Does it change patterns of genetic diversity? : The case of Nothofagus pumilio
spellingShingle Logging by selective extraction of best trees: Does it change patterns of genetic diversity? : The case of Nothofagus pumilio
Soliani, Carolina
Producción Forestal
Nothofagus Pumilio
Variación Genética
Aprovechamiento de la Madera
Microsatélites
Forestry Production
Genetic Variation
Logging
Microsatellites
title_short Logging by selective extraction of best trees: Does it change patterns of genetic diversity? : The case of Nothofagus pumilio
title_full Logging by selective extraction of best trees: Does it change patterns of genetic diversity? : The case of Nothofagus pumilio
title_fullStr Logging by selective extraction of best trees: Does it change patterns of genetic diversity? : The case of Nothofagus pumilio
title_full_unstemmed Logging by selective extraction of best trees: Does it change patterns of genetic diversity? : The case of Nothofagus pumilio
title_sort Logging by selective extraction of best trees: Does it change patterns of genetic diversity? : The case of Nothofagus pumilio
dc.creator.none.fl_str_mv Soliani, Carolina
Gallo, Leonardo Ariel
Marchelli, Paula
Vendramin, Giovanni Giuseppe
author Soliani, Carolina
author_facet Soliani, Carolina
Gallo, Leonardo Ariel
Marchelli, Paula
Vendramin, Giovanni Giuseppe
author_role author
author2 Gallo, Leonardo Ariel
Marchelli, Paula
Vendramin, Giovanni Giuseppe
author2_role author
author
author
dc.subject.none.fl_str_mv Producción Forestal
Nothofagus Pumilio
Variación Genética
Aprovechamiento de la Madera
Microsatélites
Forestry Production
Genetic Variation
Logging
Microsatellites
topic Producción Forestal
Nothofagus Pumilio
Variación Genética
Aprovechamiento de la Madera
Microsatélites
Forestry Production
Genetic Variation
Logging
Microsatellites
dc.description.none.fl_txt_mv Un amplio conocimiento de las consecuencias ecológicas y genéticas de la aplicación de las prácticas de gestión en los ecosistemas naturales es de fundamental importancia para las acciones de conservación. El principal objetivo de este estudio fue evaluar el impacto de las prácticas de gestión de la diversidad genética y la estructura genética espacial contrastando los bosques, a través de un diseño de muestreo de las clases de edad y el uso de marcadores de microsatélites.
Extensive knowledge of the ecological and genetic consequences of implementing management practices (i.e. logging) in natural ecosystems is of fundamental importance to conservation action. Accordingly, characterization of forest genetic resources in managed vs non-managed stands may inform management decisions to ensure the long-term persistence of genetic diversity. The main objective of this study was to evaluate the impact of management practices on the genetic diversity and spatial genetic structure of contrasting forests, through an age-class sampling design and the use of microsatellite markers. We evaluated the impact of logging in three populations of Nothofagus pumilio, a dominant tree species in Patagonian temperate forests, by comparing managed and non-managed stands in each population. Selective extraction of best-featured individuals, i.e. those with forestry aptitude, such as higher trees with straight trunks and good sanitary conditions, was performed between 1990 and 2004. One of the studied sites was located in a state-protected area while the others were on private land affected by grazing. At each managed stand over-mature trees (MF-O), adult remnant trees (MF-A) and seedlings representing forest regeneration (MF-R) after silvicultural management were sampled. In non-managed stands age classes were restricted to adults (CF-A) and seedlings (CF-R). A minimum of 30 individuals per age class were collected, totalling 454 samples which were genotyped at six microsatellite loci. Non-significant differences in genetic diversity were found between managed and natural woods in all populations. A trend towards decreasing frequencies or even allele loss among remnant adults of logged stands can however be interpreted as a sign of impact, probably a consequence of genetic drift. Each site showed particular, different outcomes with respect to genetic structure. While in Pop 1 (Huemules, 42°S) significant genetic differentiation was found between management treatments, admixture of genetic clusters (Bayesian clustering and DAPC analysis) occurred in Pop 2 (Guacho Lake, 43°S) and no genetic structure was found in Pop 3 (Engaño Lake, 43°S). Post-harvest genetic contact between contrasting stands is likely. A Landscape Interpolation Analysis showed clusters of individuals (shared genotypes) spatially restricted for managed stands (significant in Pop 3), whereas a random spatial distribution characterized control forests. Therefore, it is possible that management affected and disrupted the genetic structure. The different genetic patterns revealed for each population call for site-by-site interpretation. Differential intensity and frequency of management practices, presence/absence of livestock in the forest, and evolutionary history may all have had combined effect on current genetic diversity.
EEA Bariloche
Fil: Soliani, Carolina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Vendramin, Giovanni Giuseppe. National Research CouncilDivision of Florence. Institute of Biosciences and BioResources; Italia
Fil: Gallo, Leonardo Ariel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina
Fil: Marchelli, Paula. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Un amplio conocimiento de las consecuencias ecológicas y genéticas de la aplicación de las prácticas de gestión en los ecosistemas naturales es de fundamental importancia para las acciones de conservación. El principal objetivo de este estudio fue evaluar el impacto de las prácticas de gestión de la diversidad genética y la estructura genética espacial contrastando los bosques, a través de un diseño de muestreo de las clases de edad y el uso de marcadores de microsatélites.
publishDate 2016
dc.date.none.fl_str_mv 2016
2017-09-25T15:39:23Z
2017-09-25T15:39:23Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/1316
http://www.sciencedirect.com/science/article/pii/S0378112716301918
0378-1127
https://doi.org/10.1016/j.foreco.2016.04.032
url http://hdl.handle.net/20.500.12123/1316
http://www.sciencedirect.com/science/article/pii/S0378112716301918
https://doi.org/10.1016/j.foreco.2016.04.032
identifier_str_mv 0378-1127
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Forest ecology and management 373 : 81-92. (August 2016)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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