Methodological proposal for predictive and cartographic modeling of insect population: Semidalis kolbei case, the Araucanía Region, Chile
Semidalis 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 compa...
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| Lenguaje: | English |
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Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal
2011
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| Acceso en línea: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202011000300007 |
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oai:scielo:S0718-162020110003000072012-01-23Methodological proposal for predictive and cartographic modeling of insect population: Semidalis kolbei case, the Araucanía Region, ChileOjeda,NelsonRebolledo,RamónCalzadilla,SorayaSoto,HectorMorales,Luis Araucanía Region Chile modeling potential spatial distribution Semidalis kolbei Semidalis 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.info:eu-repo/semantics/openAccessPontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería ForestalCiencia e investigación agraria v.38 n.3 20112011-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202011000300007en10.4067/S0718-16202011000300007 |
| institution |
Scielo Chile |
| collection |
Scielo Chile |
| language |
English |
| topic |
Araucanía Region Chile modeling potential spatial distribution Semidalis kolbei |
| spellingShingle |
Araucanía Region Chile modeling potential spatial distribution Semidalis kolbei Ojeda,Nelson Rebolledo,Ramón Calzadilla,Soraya Soto,Hector Morales,Luis Methodological proposal for predictive and cartographic modeling of insect population: Semidalis kolbei case, the Araucanía Region, Chile |
| description |
Semidalis 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. |
| author |
Ojeda,Nelson Rebolledo,Ramón Calzadilla,Soraya Soto,Hector Morales,Luis |
| author_facet |
Ojeda,Nelson Rebolledo,Ramón Calzadilla,Soraya Soto,Hector Morales,Luis |
| author_sort |
Ojeda,Nelson |
| title |
Methodological proposal for predictive and cartographic modeling of insect population: Semidalis kolbei case, the Araucanía Region, Chile |
| title_short |
Methodological proposal for predictive and cartographic modeling of insect population: Semidalis kolbei case, the Araucanía Region, Chile |
| title_full |
Methodological proposal for predictive and cartographic modeling of insect population: Semidalis kolbei case, the Araucanía Region, Chile |
| title_fullStr |
Methodological proposal for predictive and cartographic modeling of insect population: Semidalis kolbei case, the Araucanía Region, Chile |
| title_full_unstemmed |
Methodological proposal for predictive and cartographic modeling of insect population: Semidalis kolbei case, the Araucanía Region, Chile |
| title_sort |
methodological proposal for predictive and cartographic modeling of insect population: semidalis kolbei case, the araucanía region, chile |
| publisher |
Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal |
| publishDate |
2011 |
| url |
http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202011000300007 |
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