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dc.date.accessioned 2020-03-23T16:57:36Z
dc.date.available 2020-03-23T16:57:36Z
dc.date.issued 2019
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/91472
dc.description.abstract A cluster analysis of the vegetation units identified in the floristic inventory of forests from Martin Garcia Island was carried out and associated with a site classification based on a vegetation importance index which was closely related to an environmental gradient. The results allowed to group together the "Bosque xeromórfico" (X) and "Coronillar" (C) units, which were associated to the highest and most distant sites from the river (group A), while the units of “Bosque Ribereño” (BR) and “Selva Marginal” (SM) were associated with the lowest sites and nearest to the river (group C). en
dc.format.extent 243-245 es
dc.language es es
dc.subject Cluster analysis es
dc.subject Forest inventory es
dc.subject Site classification es
dc.title Análisis cuantitativo de la composición florística de los bosques de la Isla Martín García es
dc.title.alternative Quantitative analysis of the floristic composition of the Martín García Island en
dc.type Objeto de conferencia es
sedici.identifier.issn 2683-7110 es
sedici.creator.person Barotto, Antonio José es
sedici.creator.person Cellini, Juan Manuel es
sedici.subject.materias Ingeniería Forestal es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Ciencias Agrarias y Forestales es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2019
sedici.relation.event XVIII Jornadas Técnicas Forestales y Ambientales (Eldorado, Misiones, 17 al 19 de octubre de 2019) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)