Preliminary Assessment of the Termite Distribution in Portugal

Although extensive references can be found on the presence in the last 50 years of subterranean termites, particularly Reticulitermes lucifugus (Rossi), in Portugal, their exact distribution and importance have never been critically evaluated. Termites were found to be widespread in the country and are probably the most serious wood destroying insects in buildings. To provide a future working tool that would permit an evaluation of the probability of termite infestation within a given area, an attempt was made to model the probability of the presence of R. lucifugus to a set of environmental variables. Logistic regression was the chosen statistical method. Four variables were found to explain, in part, the distribution of the data. The overall effect of changes in environmental variables on the probability of termite occurrence is inferred from the model.

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Main Authors: Nobre,Tânia, Nunes,Lina
Format: Digital revista
Language:English
Published: Unidade de Silvicultura e Produtos Florestais 2001
Online Access:http://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-63522001000200009
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spelling oai:scielo:S0870-635220010002000092007-05-11Preliminary Assessment of the Termite Distribution in PortugalNobre,TâniaNunes,Lina modelling logistic regression Although extensive references can be found on the presence in the last 50 years of subterranean termites, particularly Reticulitermes lucifugus (Rossi), in Portugal, their exact distribution and importance have never been critically evaluated. Termites were found to be widespread in the country and are probably the most serious wood destroying insects in buildings. To provide a future working tool that would permit an evaluation of the probability of termite infestation within a given area, an attempt was made to model the probability of the presence of R. lucifugus to a set of environmental variables. Logistic regression was the chosen statistical method. Four variables were found to explain, in part, the distribution of the data. The overall effect of changes in environmental variables on the probability of termite occurrence is inferred from the model.info:eu-repo/semantics/openAccessUnidade de Silvicultura e Produtos FlorestaisSilva Lusitana v.9 n.2 20012001-12-01info:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-63522001000200009en
institution SCIELO
collection OJS
country Portugal
countrycode PT
component Revista
access En linea
databasecode rev-scielo-pt
tag revista
region Europa del Sur
libraryname SciELO
language English
format Digital
author Nobre,Tânia
Nunes,Lina
spellingShingle Nobre,Tânia
Nunes,Lina
Preliminary Assessment of the Termite Distribution in Portugal
author_facet Nobre,Tânia
Nunes,Lina
author_sort Nobre,Tânia
title Preliminary Assessment of the Termite Distribution in Portugal
title_short Preliminary Assessment of the Termite Distribution in Portugal
title_full Preliminary Assessment of the Termite Distribution in Portugal
title_fullStr Preliminary Assessment of the Termite Distribution in Portugal
title_full_unstemmed Preliminary Assessment of the Termite Distribution in Portugal
title_sort preliminary assessment of the termite distribution in portugal
description Although extensive references can be found on the presence in the last 50 years of subterranean termites, particularly Reticulitermes lucifugus (Rossi), in Portugal, their exact distribution and importance have never been critically evaluated. Termites were found to be widespread in the country and are probably the most serious wood destroying insects in buildings. To provide a future working tool that would permit an evaluation of the probability of termite infestation within a given area, an attempt was made to model the probability of the presence of R. lucifugus to a set of environmental variables. Logistic regression was the chosen statistical method. Four variables were found to explain, in part, the distribution of the data. The overall effect of changes in environmental variables on the probability of termite occurrence is inferred from the model.
publisher Unidade de Silvicultura e Produtos Florestais
publishDate 2001
url http://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-63522001000200009
work_keys_str_mv AT nobretania preliminaryassessmentofthetermitedistributioninportugal
AT nuneslina preliminaryassessmentofthetermitedistributioninportugal
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