Human and biophysical drivers of fires in Semiarid Chaco mountains of Central Argentina

Fires are a recurrent disturbance in Semiarid Chaco mountains of central Argentina. The interaction of multiple factors generates variable patterns of fire occurrence in space and time. Understanding the dominant fire drivers at different spatial scales is a fundamental goal to minimize the negative...

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Publicado:	2015
Materias:	Boosted Regression Trees Chaco Serrano Fire drivers Fire ecology Fire frequency Semiarid Chaco Sierras de Córdoba Climate change Ecology Forestry Landforms Population statistics Regression analysis Trees (mathematics) Waste disposal Boosted regression trees Fire frequencies Fires anthropogenic effect climate change environmental disturbance environmental policy fire fire management semiarid region Argentina Article biophysics ecological procedures evapotranspiration fire and fire related phenomena fire driver fire ecology fire frequency human population density precipitation predictor variable priority journal seasonal variation solid waste management Waste Disposal Chaco [Argentina] Sierras de Cordoba
Acceso en línea:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00489697_v520_n_p1_Arganaraz http://hdl.handle.net/20.500.12110/paper_00489697_v520_n_p1_Arganaraz
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	paper:paper_00489697_v520_n_p1_Arganaraz
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spelling	paper:paper_00489697_v520_n_p1_Arganaraz2023-06-08T15:05:43Z Human and biophysical drivers of fires in Semiarid Chaco mountains of Central Argentina Boosted Regression Trees Chaco Serrano Fire drivers Fire ecology Fire frequency Semiarid Chaco Sierras de Córdoba Climate change Ecology Forestry Landforms Population statistics Regression analysis Trees (mathematics) Waste disposal Boosted regression trees Chaco Serrano Fire ecology Fire frequencies Semiarid Chaco Fires anthropogenic effect climate change environmental disturbance environmental policy fire fire management semiarid region Argentina Article biophysics Boosted Regression Trees climate change ecological procedures evapotranspiration fire and fire related phenomena fire driver fire ecology fire frequency human population density precipitation predictor variable priority journal seasonal variation solid waste management Ecology Fires Waste Disposal Argentina Chaco [Argentina] Sierras de Cordoba Fires are a recurrent disturbance in Semiarid Chaco mountains of central Argentina. The interaction of multiple factors generates variable patterns of fire occurrence in space and time. Understanding the dominant fire drivers at different spatial scales is a fundamental goal to minimize the negative impacts of fires. Our aim was to identify the biophysical and human drivers of fires in the Semiarid Chaco mountains of Central Argentina and their individual effects on fire activity, in order to determine the thresholds and/or ranges of the drivers at which fire occurrence is favored or disfavored. We used fire frequency as the response variable and a set of 28 potential predictor variables, which included climatic, human, topographic, biological and hydrological factors. Data were analyzed using Boosted Regression Trees, using data from near 10,500 sampling points. Our model identified the fire drivers accurately (75.6% of deviance explained). Although humans are responsible for most ignitions, climatic variables, such as annual precipitation, annual potential evapotranspiration and temperature seasonality were the most important determiners of fire frequency, followed by human (population density and distance to waste disposals) and biological (NDVI) predictors. In general, fire activity was higher at intermediate levels of precipitation and primary productivity and in the proximity of urban solid waste disposals. Fires were also more prone to occur in areas with greater variability in temperature and productivity. Boosted Regression Trees proved to be a useful and accurate tool to determine fire controls and the ranges at which drivers favor fire activity. Our approach provides a valuable insight into the ecology of fires in our study area and in other landscapes with similar characteristics, and the results will be helpful to develop management policies and predict changes in fire activity in response to different climate changes and development scenarios. © 2015 Elsevier B.V. 2015 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00489697_v520_n_p1_Arganaraz http://hdl.handle.net/20.500.12110/paper_00489697_v520_n_p1_Arganaraz
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Boosted Regression Trees Chaco Serrano Fire drivers Fire ecology Fire frequency Semiarid Chaco Sierras de Córdoba Climate change Ecology Forestry Landforms Population statistics Regression analysis Trees (mathematics) Waste disposal Boosted regression trees Chaco Serrano Fire ecology Fire frequencies Semiarid Chaco Fires anthropogenic effect climate change environmental disturbance environmental policy fire fire management semiarid region Argentina Article biophysics Boosted Regression Trees climate change ecological procedures evapotranspiration fire and fire related phenomena fire driver fire ecology fire frequency human population density precipitation predictor variable priority journal seasonal variation solid waste management Ecology Fires Waste Disposal Argentina Chaco [Argentina] Sierras de Cordoba
spellingShingle	Boosted Regression Trees Chaco Serrano Fire drivers Fire ecology Fire frequency Semiarid Chaco Sierras de Córdoba Climate change Ecology Forestry Landforms Population statistics Regression analysis Trees (mathematics) Waste disposal Boosted regression trees Chaco Serrano Fire ecology Fire frequencies Semiarid Chaco Fires anthropogenic effect climate change environmental disturbance environmental policy fire fire management semiarid region Argentina Article biophysics Boosted Regression Trees climate change ecological procedures evapotranspiration fire and fire related phenomena fire driver fire ecology fire frequency human population density precipitation predictor variable priority journal seasonal variation solid waste management Ecology Fires Waste Disposal Argentina Chaco [Argentina] Sierras de Cordoba Human and biophysical drivers of fires in Semiarid Chaco mountains of Central Argentina
topic_facet	Boosted Regression Trees Chaco Serrano Fire drivers Fire ecology Fire frequency Semiarid Chaco Sierras de Córdoba Climate change Ecology Forestry Landforms Population statistics Regression analysis Trees (mathematics) Waste disposal Boosted regression trees Chaco Serrano Fire ecology Fire frequencies Semiarid Chaco Fires anthropogenic effect climate change environmental disturbance environmental policy fire fire management semiarid region Argentina Article biophysics Boosted Regression Trees climate change ecological procedures evapotranspiration fire and fire related phenomena fire driver fire ecology fire frequency human population density precipitation predictor variable priority journal seasonal variation solid waste management Ecology Fires Waste Disposal Argentina Chaco [Argentina] Sierras de Cordoba
description	Fires are a recurrent disturbance in Semiarid Chaco mountains of central Argentina. The interaction of multiple factors generates variable patterns of fire occurrence in space and time. Understanding the dominant fire drivers at different spatial scales is a fundamental goal to minimize the negative impacts of fires. Our aim was to identify the biophysical and human drivers of fires in the Semiarid Chaco mountains of Central Argentina and their individual effects on fire activity, in order to determine the thresholds and/or ranges of the drivers at which fire occurrence is favored or disfavored. We used fire frequency as the response variable and a set of 28 potential predictor variables, which included climatic, human, topographic, biological and hydrological factors. Data were analyzed using Boosted Regression Trees, using data from near 10,500 sampling points. Our model identified the fire drivers accurately (75.6% of deviance explained). Although humans are responsible for most ignitions, climatic variables, such as annual precipitation, annual potential evapotranspiration and temperature seasonality were the most important determiners of fire frequency, followed by human (population density and distance to waste disposals) and biological (NDVI) predictors. In general, fire activity was higher at intermediate levels of precipitation and primary productivity and in the proximity of urban solid waste disposals. Fires were also more prone to occur in areas with greater variability in temperature and productivity. Boosted Regression Trees proved to be a useful and accurate tool to determine fire controls and the ranges at which drivers favor fire activity. Our approach provides a valuable insight into the ecology of fires in our study area and in other landscapes with similar characteristics, and the results will be helpful to develop management policies and predict changes in fire activity in response to different climate changes and development scenarios. © 2015 Elsevier B.V.
title	Human and biophysical drivers of fires in Semiarid Chaco mountains of Central Argentina
title_short	Human and biophysical drivers of fires in Semiarid Chaco mountains of Central Argentina
title_full	Human and biophysical drivers of fires in Semiarid Chaco mountains of Central Argentina
title_fullStr	Human and biophysical drivers of fires in Semiarid Chaco mountains of Central Argentina
title_full_unstemmed	Human and biophysical drivers of fires in Semiarid Chaco mountains of Central Argentina
title_sort	human and biophysical drivers of fires in semiarid chaco mountains of central argentina
publishDate	2015
url	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00489697_v520_n_p1_Arganaraz http://hdl.handle.net/20.500.12110/paper_00489697_v520_n_p1_Arganaraz
_version_	1768543696175759360

Human and biophysical drivers of fires in Semiarid Chaco mountains of Central Argentina

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