Ítem
Acceso Abierto

Predicting Understory Species Richness from Stand and Management Characteristics Using Regression Trees

Mostrar el registro sencillo de la publicación
dc.creatorTimilsina, N.spa
dc.creatorCropper, W.P., Jr.spa
dc.creatorEscobedo, F.J.spa
dc.creatorLima, J.M.T.spa
dc.date.accessioned2020-08-19T14:40:13Z
dc.date.available2020-08-19T14:40:13Z
dc.date.created2013-03-01spa
dc.description.abstractManaging forests for multiple ecosystem services such as timber, carbon, and biodiversity requires information on ecosystem structure and management characteristics. National forest inventory data are increasingly being used to quantify ecosystem services, but they mostly provide timber management and overstory data, while data on understory shrub and herbaceous diversity are limited. We obtained species richness and stand management data from relevant literature to develop a regression tree model that can be used to predict understory species richness from forest inventory data. Our model explained 57% of the variation in herbaceous species richness in the coastal plain pine forests of the southeastern USA. Results were verified using field data, and important predictors of herbaceous richness included stand age, forest type, time since fire, and time since herbicide-fertilizer application. This approach can make use of available forest inventories to rapidly and cost-effectively estimate understory species richness for subtropical pine forestseng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.3390/f4010122
dc.identifier.issnISSN: 1999-4907
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/26775
dc.language.isoengspa
dc.publisherMDPI journalsspa
dc.relation.citationEndPage136
dc.relation.citationIssueNo. 1
dc.relation.citationStartPage122
dc.relation.citationTitleForests
dc.relation.citationVolumeVol. 4
dc.relation.ispartofForests, ISSN:1999-4907, Vol.4, No.1 (February, 2013); pp. 122-136spa
dc.relation.urihttps://www.mdpi.com/1999-4907/4/1/122spa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.sourceForestsspa
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subject.keywordHerbaceous richnessspa
dc.subject.keywordUnderstory richnessspa
dc.subject.keywordPine flatwoodsspa
dc.subject.keywordRegression treespa
dc.subject.keywordForest inventoryspa
dc.subject.keywordRichness modelspa
dc.titlePredicting Understory Species Richness from Stand and Management Characteristics Using Regression Treesspa
dc.title.TranslatedTitlePredicción de la riqueza de especies del sotobosque a partir de las características de manejo y del rodal mediante árboles de regresiónspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
Archivos
Bloque original
Mostrando1 - 1 de 1
Miniatura
Nombre:
forests-04-00122.pdf
Tamaño:
605.22 KB
Formato:
Adobe Portable Document Format
Descripción:
Descargar
Colecciones
Artículos