Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/126797
Author(s): Ana C. Meira Castro
João P. Meixedo
Jorge Santos
Joaquim Góis
António Bento-Gonçalves
António Vieira
Luciano Lourenço
Title: On sampling collection procedure effectiveness for forest soil characterization
Issue Date: 2013
Abstract: One of the most important measures to prevent wild forest fires is the use of rescribed 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.
Subject: Protecção dos solos, Agricultura, silvicultura e pescas
Soil protection, Agriculture, Forestry, and Fisheries
Scientific areas: Ciências agrárias::Agricultura, silvicultura e pescas
Agrarian Sciences::Agriculture, Forestry, and Fisheries
URI: https://hdl.handle.net/10216/126797
Document Type: Artigo em Revista Científica Internacional
Rights: restrictedAccess
Appears in Collections:FEUP - Artigo em Revista Científica Internacional

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