Diameter Increment Modeling in an Araucaria Forest Fragment Using Cluster Analysis
ABSTRACT The aims of the present study were to test the hypothesis that data stratification by cluster analysis and the use of other variables, in addition to DBH, can improve the precision of the estimates in diametric increment modeling for Mixed Ombrophilous Forest species. The study was carried...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Universidade Federal Rural do Rio de Janeiro
2018-07-01
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| Series: | Floresta e Ambiente |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872018000300113&lng=en&tlng=en |
| _version_ | 1818777278664933376 |
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| author | Mailson Roik Sebastião do Amaral Machado Afonso Figueiredo Filho Carlos Roberto Sanquetta Marcelo Roveda Thiago Floriani Stepka |
| author_facet | Mailson Roik Sebastião do Amaral Machado Afonso Figueiredo Filho Carlos Roberto Sanquetta Marcelo Roveda Thiago Floriani Stepka |
| author_sort | Mailson Roik |
| collection | DOAJ |
| description | ABSTRACT The aims of the present study were to test the hypothesis that data stratification by cluster analysis and the use of other variables, in addition to DBH, can improve the precision of the estimates in diametric increment modeling for Mixed Ombrophilous Forest species. The study was carried out in the Irati National Forest. Data from 25 permanent sample plots of 1 ha each were used with all individuals presenting DBH equal to or greater than 10 cm being identified and measured. The increment modeling was performed for the whole forest (non-stratified data), ecological groups and species subgroups (stratified data) defined by cluster analysis. DBH presented a low correlation with the diametric increment and the use of other independent variables had a positive effect on the fitting, reducing the standard error of estimate and increasing the coefficient of determination. The data stratification did not make the models suitable to estimate the diametric increment; however, it provided improvements by reducing the standard error of estimate, suggesting that this technique can be better applied in the search for improvements to diametric modeling in natural forests. |
| first_indexed | 2024-12-18T11:26:17Z |
| format | Article |
| id | doaj.art-3ff930320d25432ab1349a710044661e |
| institution | Directory Open Access Journal |
| issn | 2179-8087 |
| language | English |
| last_indexed | 2024-12-18T11:26:17Z |
| publishDate | 2018-07-01 |
| publisher | Universidade Federal Rural do Rio de Janeiro |
| record_format | Article |
| series | Floresta e Ambiente |
| spelling | doaj.art-3ff930320d25432ab1349a710044661e2022-12-21T21:09:42ZengUniversidade Federal Rural do Rio de JaneiroFloresta e Ambiente2179-80872018-07-0125310.1590/2179-8087.062517S2179-80872018000300113Diameter Increment Modeling in an Araucaria Forest Fragment Using Cluster AnalysisMailson RoikSebastião do Amaral MachadoAfonso Figueiredo FilhoCarlos Roberto SanquettaMarcelo RovedaThiago Floriani StepkaABSTRACT The aims of the present study were to test the hypothesis that data stratification by cluster analysis and the use of other variables, in addition to DBH, can improve the precision of the estimates in diametric increment modeling for Mixed Ombrophilous Forest species. The study was carried out in the Irati National Forest. Data from 25 permanent sample plots of 1 ha each were used with all individuals presenting DBH equal to or greater than 10 cm being identified and measured. The increment modeling was performed for the whole forest (non-stratified data), ecological groups and species subgroups (stratified data) defined by cluster analysis. DBH presented a low correlation with the diametric increment and the use of other independent variables had a positive effect on the fitting, reducing the standard error of estimate and increasing the coefficient of determination. The data stratification did not make the models suitable to estimate the diametric increment; however, it provided improvements by reducing the standard error of estimate, suggesting that this technique can be better applied in the search for improvements to diametric modeling in natural forests.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872018000300113&lng=en&tlng=endata stratificationgrowthMixed Ombrophilous Forestmultivariate analysis |
| spellingShingle | Mailson Roik Sebastião do Amaral Machado Afonso Figueiredo Filho Carlos Roberto Sanquetta Marcelo Roveda Thiago Floriani Stepka Diameter Increment Modeling in an Araucaria Forest Fragment Using Cluster Analysis Floresta e Ambiente data stratification growth Mixed Ombrophilous Forest multivariate analysis |
| title | Diameter Increment Modeling in an Araucaria Forest Fragment Using Cluster Analysis |
| title_full | Diameter Increment Modeling in an Araucaria Forest Fragment Using Cluster Analysis |
| title_fullStr | Diameter Increment Modeling in an Araucaria Forest Fragment Using Cluster Analysis |
| title_full_unstemmed | Diameter Increment Modeling in an Araucaria Forest Fragment Using Cluster Analysis |
| title_short | Diameter Increment Modeling in an Araucaria Forest Fragment Using Cluster Analysis |
| title_sort | diameter increment modeling in an araucaria forest fragment using cluster analysis |
| topic | data stratification growth Mixed Ombrophilous Forest multivariate analysis |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872018000300113&lng=en&tlng=en |
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