An ecophysiographic approach for Araucaria araucana regeneration management

Chilean temperate forests are dominated by Nothofagus and Araucaria araucana species. Despite A. araucana not being at imminent risk of extinction, its cultural value and the associated environmental services and landscape goods have an important role for the conservation of this native forest. In s...

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Autores principales:	Drake,Fernando, Molina,Juan Ramón, Herrera,Miguel Ángel
Lenguaje:	English
Publicado:	Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal 2012
Materias:	Maxent model Nothofagus species seedling establishment seedling tree
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202012000100013
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spelling	oai:scielo:S0718-162020120001000132014-11-05An ecophysiographic approach for Araucaria araucana regeneration managementDrake,FernandoMolina,Juan RamónHerrera,Miguel Ángel Maxent model Nothofagus species seedling establishment seedling tree Chilean temperate forests are dominated by Nothofagus and Araucaria araucana species. Despite A. araucana not being at imminent risk of extinction, its cultural value and the associated environmental services and landscape goods have an important role for the conservation of this native forest. In some areas, the future conservation of A. araucana is a cause of great concern given its management prohibition and regeneration limitation due to slow growth, canopy tree competition and dense understory. The above characteristics make this species most susceptible to some disturbances, such as livestock, wildlife and human pressures. Therefore, sustainable management of A. araucana forests requires the assessment of its regeneration condition. The objective of this research was to apply multivariable analysis techniques in search of the most relevant parameter for Araucaria regeneration. This study used the following methods: principal component analysis (PCA), forward stepwise regression modeling and Maxent modeling. By PCA, it was possible to reduce the dimension to six-dimensional with a variance explanation of greater than 75%. The multivariable regression model, known as model 7, was the best compromise between the coefficient of determination and model size (number of independent variables). Incorporating a maximum entropy trend improved model performance. A spatial prediction was obtained by summing the contributions of statistical methods and the geographic information system (GIS). The GIS increased the flexibility of the proposed model, which enabled an extrapolation to other areas at different spatial and temporal scales.info:eu-repo/semantics/openAccessPontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería ForestalCiencia e investigación agraria v.39 n.1 20122012-04-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202012000100013en10.4067/S0718-16202012000100013
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Maxent model Nothofagus species seedling establishment seedling tree
spellingShingle	Maxent model Nothofagus species seedling establishment seedling tree Drake,Fernando Molina,Juan Ramón Herrera,Miguel Ángel An ecophysiographic approach for Araucaria araucana regeneration management
description	Chilean temperate forests are dominated by Nothofagus and Araucaria araucana species. Despite A. araucana not being at imminent risk of extinction, its cultural value and the associated environmental services and landscape goods have an important role for the conservation of this native forest. In some areas, the future conservation of A. araucana is a cause of great concern given its management prohibition and regeneration limitation due to slow growth, canopy tree competition and dense understory. The above characteristics make this species most susceptible to some disturbances, such as livestock, wildlife and human pressures. Therefore, sustainable management of A. araucana forests requires the assessment of its regeneration condition. The objective of this research was to apply multivariable analysis techniques in search of the most relevant parameter for Araucaria regeneration. This study used the following methods: principal component analysis (PCA), forward stepwise regression modeling and Maxent modeling. By PCA, it was possible to reduce the dimension to six-dimensional with a variance explanation of greater than 75%. The multivariable regression model, known as model 7, was the best compromise between the coefficient of determination and model size (number of independent variables). Incorporating a maximum entropy trend improved model performance. A spatial prediction was obtained by summing the contributions of statistical methods and the geographic information system (GIS). The GIS increased the flexibility of the proposed model, which enabled an extrapolation to other areas at different spatial and temporal scales.
author	Drake,Fernando Molina,Juan Ramón Herrera,Miguel Ángel
author_facet	Drake,Fernando Molina,Juan Ramón Herrera,Miguel Ángel
author_sort	Drake,Fernando
title	An ecophysiographic approach for Araucaria araucana regeneration management
title_short	An ecophysiographic approach for Araucaria araucana regeneration management
title_full	An ecophysiographic approach for Araucaria araucana regeneration management
title_fullStr	An ecophysiographic approach for Araucaria araucana regeneration management
title_full_unstemmed	An ecophysiographic approach for Araucaria araucana regeneration management
title_sort	ecophysiographic approach for araucaria araucana regeneration management
publisher	Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal
publishDate	2012
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202012000100013
work_keys_str_mv	AT drakefernando anecophysiographicapproachforaraucariaaraucanaregenerationmanagement AT molinajuanramon anecophysiographicapproachforaraucariaaraucanaregenerationmanagement AT herreramiguelangel anecophysiographicapproachforaraucariaaraucanaregenerationmanagement AT drakefernando ecophysiographicapproachforaraucariaaraucanaregenerationmanagement AT molinajuanramon ecophysiographicapproachforaraucariaaraucanaregenerationmanagement AT herreramiguelangel ecophysiographicapproachforaraucariaaraucanaregenerationmanagement
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An ecophysiographic approach for Araucaria araucana regeneration management

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