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dc.creatorOjeda,Nelson
dc.creatorRebolledo,Ramón
dc.creatorCalzadilla,Soraya
dc.creatorSoto,Hector
dc.creatorMorales,Luis
dc.date2011-12-01
dc.date.accessioned2019-05-17T13:11:34Z
dc.date.available2019-05-17T13:11:34Z
dc.identifierhttps://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0718-16202011000300007
dc.identifier.urihttps://revistaschilenas.uchile.cl/handle/2250/98013
dc.descriptionSemidalis kolbei occupies a significant area of south central Chile. However, it is necessary to determine and predict the occurrence of the insect at a given site. The aim of this research is to analyze the potential spatial distribution of S. kolbei in La Araucanía Region of Chile. The study compares ordinary kriging (OK) interpolation methods, geographically weighted regression (GWR) and global regression (GR). The following variables were used in the investigation: topography (altitude, aspect, and slope), distance from the littoral, climate, and geographical variables (latitude and longitude). Of the models evaluated, the GWR proved to be the most successful. This model revealed a marked east-west gradient in the distribution of S. kolbei and a relationship with altitude.
dc.formattext/html
dc.languageen
dc.publisherPontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal
dc.relation10.4067/S0718-16202011000300007
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceCiencia e investigación agraria v.38 n.3 2011
dc.subjectAraucanía Region
dc.subjectChile
dc.subjectmodeling
dc.subjectpotential spatial distribution
dc.subjectSemidalis kolbei
dc.titleMethodological proposal for predictive and cartographic modeling of insect population: Semidalis kolbei case, the Araucanía Region, Chile


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