Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/28014

TitleOn sampling collection procedure effectiveness for forest soil characterization
Author(s)Castro, Ana Meira
Meixedo, João P.
Santos, Jorge
Góis, Joaquim
Gonçalves, António Bento
Vieira, António
Lourenço, Luciano
KeywordsForest soil
Prescribed fire
Robust principal components analysis
Sampling collection procedure
Soil properties
Issue date2015
PublisherFuegored
JournalFlamma
Abstract(s)One of the most important measures to prevent wild forest fires is the use of prescribed and controlled burning actions as it reduce the fuel mass availability. The impact of these management activities on soil physical and chemical properties varies according to the type of both soil and vegetation. Decisions in forest management plans are often based on the results obtained from soil-monitoring campaigns. Those campaigns are often man-labor intensive and expensive. In this paper we have successfully used the multivariate statistical technique Robust Principal Analysis Compounds (ROBPCA) to investigate on the sampling procedure effectiveness for two different methodologies, in order to reflect on the possibility of simplifying and reduce the sampling collection process and its auxiliary laboratory analysis work towards a cost-effective and competent forest soil characterization.
Typearticle
URIhttp://hdl.handle.net/1822/28014
ISSN2171-665X
Publisher versionhttps://sites.google.com/site/flammafgr/texto/volumen-6-2015/6-2-2015/6-2-15
Peer-Reviewedyes
AccessopenAccess
Appears in Collections:CEGOT - Artigos em revistas internacionais com referee
GEO - Artigos em revistas internacionais com referee

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