Assessing understory development in forest plantations using laser imaging detection and ranging (LiDAR)

Forestry plantations are expected to be managed in ways to conserve biodiversity while producing goods and services. This goal implies a significant challenge as plantations tend to reduce species richness. The presence of well developed understory enhances the value of plantations as habitat for na...

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Autores principales:	HERNÁNDEZ,JAIME, ACUÑA,M. PAZ, CORVALÁN,PATRICIO, SIMONETTI,JAVIER A
Lenguaje:	English
Publicado:	Sociedad de Biología de Chile 2013
Materias:	forestry plantations kriging LiDAR Pinus radiata understory height
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-078X2013000400005
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spelling	oai:scielo:S0716-078X20130004000052014-02-03Assessing understory development in forest plantations using laser imaging detection and ranging (LiDAR)HERNÁNDEZ,JAIMEACUÑA,M. PAZCORVALÁN,PATRICIOSIMONETTI,JAVIER A forestry plantations kriging LiDAR Pinus radiata understory height Forestry plantations are expected to be managed in ways to conserve biodiversity while producing goods and services. This goal implies a significant challenge as plantations tend to reduce species richness. The presence of well developed understory enhances the value of plantations as habitat for native fauna. Here, we develop a straightforward method to assess the availability of understory in forestry stands using laser imaging detection and ranging (LiDAR) data and aerial RGB high resolution images. Based on field and airborne acquired data for Pinus radiata stands in central Chile, the digital crown model (DCM), derived from the subtraction of the digital terrain model (DTM) from the digital surface model (DSM) is a more reliable predictor of understory height that variables like terrain slope, aspect, plantation age and canopy height in forests and plantations which have not complete closed canopy. The correlation between DCM and understory though decreases while the actual height of the plantation canopy increases, rendering DCM a conservative estimate of understory development. The use of DCM will allow a fast and cost/effective estimate of habitat suitability in forestry plantations.info:eu-repo/semantics/openAccessSociedad de Biología de ChileRevista chilena de historia natural v.86 n.4 20132013-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-078X2013000400005en10.4067/S0716-078X2013000400005
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	forestry plantations kriging LiDAR Pinus radiata understory height
spellingShingle	forestry plantations kriging LiDAR Pinus radiata understory height HERNÁNDEZ,JAIME ACUÑA,M. PAZ CORVALÁN,PATRICIO SIMONETTI,JAVIER A Assessing understory development in forest plantations using laser imaging detection and ranging (LiDAR)
description	Forestry plantations are expected to be managed in ways to conserve biodiversity while producing goods and services. This goal implies a significant challenge as plantations tend to reduce species richness. The presence of well developed understory enhances the value of plantations as habitat for native fauna. Here, we develop a straightforward method to assess the availability of understory in forestry stands using laser imaging detection and ranging (LiDAR) data and aerial RGB high resolution images. Based on field and airborne acquired data for Pinus radiata stands in central Chile, the digital crown model (DCM), derived from the subtraction of the digital terrain model (DTM) from the digital surface model (DSM) is a more reliable predictor of understory height that variables like terrain slope, aspect, plantation age and canopy height in forests and plantations which have not complete closed canopy. The correlation between DCM and understory though decreases while the actual height of the plantation canopy increases, rendering DCM a conservative estimate of understory development. The use of DCM will allow a fast and cost/effective estimate of habitat suitability in forestry plantations.
author	HERNÁNDEZ,JAIME ACUÑA,M. PAZ CORVALÁN,PATRICIO SIMONETTI,JAVIER A
author_facet	HERNÁNDEZ,JAIME ACUÑA,M. PAZ CORVALÁN,PATRICIO SIMONETTI,JAVIER A
author_sort	HERNÁNDEZ,JAIME
title	Assessing understory development in forest plantations using laser imaging detection and ranging (LiDAR)
title_short	Assessing understory development in forest plantations using laser imaging detection and ranging (LiDAR)
title_full	Assessing understory development in forest plantations using laser imaging detection and ranging (LiDAR)
title_fullStr	Assessing understory development in forest plantations using laser imaging detection and ranging (LiDAR)
title_full_unstemmed	Assessing understory development in forest plantations using laser imaging detection and ranging (LiDAR)
title_sort	assessing understory development in forest plantations using laser imaging detection and ranging (lidar)
publisher	Sociedad de Biología de Chile
publishDate	2013
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-078X2013000400005
work_keys_str_mv	AT hernandezjaime assessingunderstorydevelopmentinforestplantationsusinglaserimagingdetectionandranginglidar AT acunampaz assessingunderstorydevelopmentinforestplantationsusinglaserimagingdetectionandranginglidar AT corvalanpatricio assessingunderstorydevelopmentinforestplantationsusinglaserimagingdetectionandranginglidar AT simonettijaviera assessingunderstorydevelopmentinforestplantationsusinglaserimagingdetectionandranginglidar
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Assessing understory development in forest plantations using laser imaging detection and ranging (LiDAR)

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