A new study method of microhabitat structure of small mammals
Autor(a) principal: | |
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Data de Publicação: | 1999 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Biologia (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71081999000200006 |
Resumo: | The variables in habitat studies are usually transformed in such a way that they become abstractions and intuition is lost. We tested a new method for the analysis of habitat using data collected in a grid laid at the "restinga de Maricá", in Rio de Janeiro State, Brazil. Thirty-seven microhabitat variables were measured at each trap station. We assume that these variables characterize the microhabitat structure at the moment when measurements were taken. The data are transformed in 3 ways: (1) the averages of the measured variables were calculated, as usual in habitat studies; (2) the data are transformed in densities per area in square meters without reduction in the number of variables; and (3) we calculated the natural logarithms of the data thus transformed. The 3 sets were analised through discriminant analysis. The logarithms of densities were the most efficient kind of transformation. This transformation resulted in a significance of p = 0.0001 with 39.72% of variance in the 1st discriminant function and of p = 0.0426 with 31.45% of variance in the 2nd function, and 84.62% of groups correctly classified. We obtained better classification results than previous similar works and we kept the intuition through the data analysis. |
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A new study method of microhabitat structure of small mammalsdiscriminant analysismethodsnicheneotropicssmall mammalsThe variables in habitat studies are usually transformed in such a way that they become abstractions and intuition is lost. We tested a new method for the analysis of habitat using data collected in a grid laid at the "restinga de Maricá", in Rio de Janeiro State, Brazil. Thirty-seven microhabitat variables were measured at each trap station. We assume that these variables characterize the microhabitat structure at the moment when measurements were taken. The data are transformed in 3 ways: (1) the averages of the measured variables were calculated, as usual in habitat studies; (2) the data are transformed in densities per area in square meters without reduction in the number of variables; and (3) we calculated the natural logarithms of the data thus transformed. The 3 sets were analised through discriminant analysis. The logarithms of densities were the most efficient kind of transformation. This transformation resulted in a significance of p = 0.0001 with 39.72% of variance in the 1st discriminant function and of p = 0.0426 with 31.45% of variance in the 2nd function, and 84.62% of groups correctly classified. We obtained better classification results than previous similar works and we kept the intuition through the data analysis.Instituto Internacional de Ecologia1999-05-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71081999000200006Revista Brasileira de Biologia v.59 n.2 1999reponame:Revista Brasileira de Biologia (Online)instname:Instituto Internacional de Ecologia (IIE)instacron:IIE10.1590/S0034-71081999000200006info:eu-repo/semantics/openAccessCERQUEIRA,R.FREITAS,S. R.eng2001-06-27T00:00:00Zoai:scielo:S0034-71081999000200006Revistawww.scielo.br/rbbioONGhttps://old.scielo.br/oai/scielo-oai.php||bjb.iie@terra.com.br1806-96060034-7108opendoar:2001-06-27T00:00Revista Brasileira de Biologia (Online) - Instituto Internacional de Ecologia (IIE)false |
dc.title.none.fl_str_mv |
A new study method of microhabitat structure of small mammals |
title |
A new study method of microhabitat structure of small mammals |
spellingShingle |
A new study method of microhabitat structure of small mammals CERQUEIRA,R. discriminant analysis methods niche neotropics small mammals |
title_short |
A new study method of microhabitat structure of small mammals |
title_full |
A new study method of microhabitat structure of small mammals |
title_fullStr |
A new study method of microhabitat structure of small mammals |
title_full_unstemmed |
A new study method of microhabitat structure of small mammals |
title_sort |
A new study method of microhabitat structure of small mammals |
author |
CERQUEIRA,R. |
author_facet |
CERQUEIRA,R. FREITAS,S. R. |
author_role |
author |
author2 |
FREITAS,S. R. |
author2_role |
author |
dc.contributor.author.fl_str_mv |
CERQUEIRA,R. FREITAS,S. R. |
dc.subject.por.fl_str_mv |
discriminant analysis methods niche neotropics small mammals |
topic |
discriminant analysis methods niche neotropics small mammals |
description |
The variables in habitat studies are usually transformed in such a way that they become abstractions and intuition is lost. We tested a new method for the analysis of habitat using data collected in a grid laid at the "restinga de Maricá", in Rio de Janeiro State, Brazil. Thirty-seven microhabitat variables were measured at each trap station. We assume that these variables characterize the microhabitat structure at the moment when measurements were taken. The data are transformed in 3 ways: (1) the averages of the measured variables were calculated, as usual in habitat studies; (2) the data are transformed in densities per area in square meters without reduction in the number of variables; and (3) we calculated the natural logarithms of the data thus transformed. The 3 sets were analised through discriminant analysis. The logarithms of densities were the most efficient kind of transformation. This transformation resulted in a significance of p = 0.0001 with 39.72% of variance in the 1st discriminant function and of p = 0.0426 with 31.45% of variance in the 2nd function, and 84.62% of groups correctly classified. We obtained better classification results than previous similar works and we kept the intuition through the data analysis. |
publishDate |
1999 |
dc.date.none.fl_str_mv |
1999-05-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71081999000200006 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71081999000200006 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0034-71081999000200006 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Instituto Internacional de Ecologia |
publisher.none.fl_str_mv |
Instituto Internacional de Ecologia |
dc.source.none.fl_str_mv |
Revista Brasileira de Biologia v.59 n.2 1999 reponame:Revista Brasileira de Biologia (Online) instname:Instituto Internacional de Ecologia (IIE) instacron:IIE |
instname_str |
Instituto Internacional de Ecologia (IIE) |
instacron_str |
IIE |
institution |
IIE |
reponame_str |
Revista Brasileira de Biologia (Online) |
collection |
Revista Brasileira de Biologia (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Biologia (Online) - Instituto Internacional de Ecologia (IIE) |
repository.mail.fl_str_mv |
||bjb.iie@terra.com.br |
_version_ |
1754821093270487040 |