Dominant Height Model for Site Classification of Eucalyptus grandis Incorporating Climatic Variables
This study tested the effects of inserting climatic variables in Eucalyptus grandis as covariables of a dominant height model, which for site index classification is usually related to age alone. Dominant height values ranging from 1 to 12 years of age located in the Southeast region of Brazil were...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | International Journal of Forestry Research |
| Online Access: | http://dx.doi.org/10.1155/2013/139236 |
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| _version_ | 1832567031685185536 |
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| author | José Roberto Soares Scolforo Romualdo Maestri Antonio Carlos Ferraz Filho José Márcio de Mello Antônio Donizette de Oliveira Adriana Leandra de Assis |
| author_facet | José Roberto Soares Scolforo Romualdo Maestri Antonio Carlos Ferraz Filho José Márcio de Mello Antônio Donizette de Oliveira Adriana Leandra de Assis |
| author_sort | José Roberto Soares Scolforo |
| collection | DOAJ |
| description | This study tested the effects of inserting climatic variables in Eucalyptus grandis as covariables of a dominant height model, which for site index classification is usually related to age alone. Dominant height values ranging from 1 to 12 years of age located in the Southeast region of Brazil were used, as well as data from 19 automatic meteorological stations from the area. The Chapman-Richards model was chosen to represent dominant height as a function of age. To include the environmental variables a modifier was included in the asymptote of the model. The asymptote was chosen since this parameter is responsible for the maximum value which the dominant height can reach. Of the four environmental variables most responsible for database variation, the two with the highest correlation to the mean annual increment in dominant height (mean monthly precipitation and temperature) were selected to compose the asymptote modifier. Model validation showed a gain in precision of 33% (reduction of the standard error of estimate) when climatic variables were inserted in the model. Possible applications of the method include the estimation of site capacity in regions lacking any planting history, as well as updating forest inventory data based on past climate regimes. |
| format | Article |
| id | doaj-art-4942aa71de014f2da3dd96ae4c7bf8e6 |
| institution | Kabale University |
| issn | 1687-9368 1687-9376 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Forestry Research |
| spelling | doaj-art-4942aa71de014f2da3dd96ae4c7bf8e62025-02-03T01:02:27ZengWileyInternational Journal of Forestry Research1687-93681687-93762013-01-01201310.1155/2013/139236139236Dominant Height Model for Site Classification of Eucalyptus grandis Incorporating Climatic VariablesJosé Roberto Soares Scolforo0Romualdo Maestri1Antonio Carlos Ferraz Filho2José Márcio de Mello3Antônio Donizette de Oliveira4Adriana Leandra de Assis5Department of Forest Sciences, Federal University of Lavras, Cx. P. 3037, 37200-000 Lavras, MG, BrazilGranflor, Avenida Carlos Gomes 1200, 90480-001 Porto Alegre, RS, BrazilDepartment of Forest Sciences, Federal University of Lavras, Cx. P. 3037, 37200-000 Lavras, MG, BrazilDepartment of Forest Sciences, Federal University of Lavras, Cx. P. 3037, 37200-000 Lavras, MG, BrazilDepartment of Forest Sciences, Federal University of Lavras, Cx. P. 3037, 37200-000 Lavras, MG, BrazilFibria S. A., Rodovia Aracruz-Barra do Riacho, Km 25, 29197-900 Aracruz, ES, BrazilThis study tested the effects of inserting climatic variables in Eucalyptus grandis as covariables of a dominant height model, which for site index classification is usually related to age alone. Dominant height values ranging from 1 to 12 years of age located in the Southeast region of Brazil were used, as well as data from 19 automatic meteorological stations from the area. The Chapman-Richards model was chosen to represent dominant height as a function of age. To include the environmental variables a modifier was included in the asymptote of the model. The asymptote was chosen since this parameter is responsible for the maximum value which the dominant height can reach. Of the four environmental variables most responsible for database variation, the two with the highest correlation to the mean annual increment in dominant height (mean monthly precipitation and temperature) were selected to compose the asymptote modifier. Model validation showed a gain in precision of 33% (reduction of the standard error of estimate) when climatic variables were inserted in the model. Possible applications of the method include the estimation of site capacity in regions lacking any planting history, as well as updating forest inventory data based on past climate regimes.http://dx.doi.org/10.1155/2013/139236 |
| spellingShingle | José Roberto Soares Scolforo Romualdo Maestri Antonio Carlos Ferraz Filho José Márcio de Mello Antônio Donizette de Oliveira Adriana Leandra de Assis Dominant Height Model for Site Classification of Eucalyptus grandis Incorporating Climatic Variables International Journal of Forestry Research |
| title | Dominant Height Model for Site Classification of Eucalyptus grandis Incorporating Climatic Variables |
| title_full | Dominant Height Model for Site Classification of Eucalyptus grandis Incorporating Climatic Variables |
| title_fullStr | Dominant Height Model for Site Classification of Eucalyptus grandis Incorporating Climatic Variables |
| title_full_unstemmed | Dominant Height Model for Site Classification of Eucalyptus grandis Incorporating Climatic Variables |
| title_short | Dominant Height Model for Site Classification of Eucalyptus grandis Incorporating Climatic Variables |
| title_sort | dominant height model for site classification of eucalyptus grandis incorporating climatic variables |
| url | http://dx.doi.org/10.1155/2013/139236 |
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