Volume equations for merchantable timber species of Southern Roraima state
Eight volume models were tested to fit observed data from merchantable tree species of Southern Roraima; four simple entry models with DBH as independent variable and four double entry models with DBH and merchantable height (Hc) as independent variables. Among those, the best model was compared wit...
| Autor principal: | Gimenez, Bruno Oliva |
|---|---|
| Outros Autores: | Danielli, Filipe Eduardo, Oliveira, Criscian Kellen Amaro de, Santos, Joaquim dos, Higuchi, Niro |
| Grau: | Artigo |
| Idioma: | pt_BR |
| Publicado em: |
Scientia Forestalis/Forest Sciences
2020
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| Acesso em linha: |
https://repositorio.inpa.gov.br/handle/1/15419 |
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oai:repositorio:1-15419 |
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oai:repositorio:1-15419 Volume equations for merchantable timber species of Southern Roraima state Equações volumétricas para espécies comerciais madeireiras do sul do estado de Roraima Gimenez, Bruno Oliva Danielli, Filipe Eduardo Oliveira, Criscian Kellen Amaro de Santos, Joaquim dos Higuchi, Niro Approximation Theory Amazon Field Data Collection Forest Inventory Independent Variables Observed Data Timber Species Volume Equations Volume Models Forestry Forest Management Forests Inventory Control Eight volume models were tested to fit observed data from merchantable tree species of Southern Roraima; four simple entry models with DBH as independent variable and four double entry models with DBH and merchantable height (Hc) as independent variables. Among those, the best model was compared with the one which uses form factor equal to 0.7. Additionally, the same models were tested with diameter at stump height (Dtoco) instead of DBH in order to develop an equation to estimate the volume removed by logging. To carry out this study, 54 sample trees with DBH ≥ 30 cm were taken from a clear cut area for agriculture projects in Rorainópolis, Southern Roraima. The model that best fit the observed data was V = 0.000503 ∗ DBHΛ2.157162 (R2 adj = 0.899 and Syx = 1.38 m3), because it does not have Hc as independent variable. To estimate the volume from the independent variable Dtoco the model that presented the best results was V = 0.002603 ∗ DtocoΛ1.761132 (R2 adj. = 0.789 and Syx = 1.93 m3). In the clear cut area, merchantable height could be measured precisely; in this case, double entry model could be very convenient as well, such as V = 0.000263 ∗ Dtoco Λ1.782244 ∗ Hc Λ 0.765729 (R2 adj. = 0.872 and Syx = 1.51 m3). Models with a universal form factor (0.7, for example) are not reliable mainly because Hc is not obtained precisely during the field data collection for forest inventory. 2020-05-08T20:43:49Z 2020-05-08T20:43:49Z 2015 Artigo https://repositorio.inpa.gov.br/handle/1/15419 pt_BR Volume 43, Número 106, Pags. 291-301 Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ application/pdf Scientia Forestalis/Forest Sciences |
| institution |
Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional |
| collection |
INPA-RI |
| language |
pt_BR |
| topic |
Approximation Theory Amazon Field Data Collection Forest Inventory Independent Variables Observed Data Timber Species Volume Equations Volume Models Forestry Forest Management Forests Inventory Control |
| spellingShingle |
Approximation Theory Amazon Field Data Collection Forest Inventory Independent Variables Observed Data Timber Species Volume Equations Volume Models Forestry Forest Management Forests Inventory Control Gimenez, Bruno Oliva Volume equations for merchantable timber species of Southern Roraima state |
| topic_facet |
Approximation Theory Amazon Field Data Collection Forest Inventory Independent Variables Observed Data Timber Species Volume Equations Volume Models Forestry Forest Management Forests Inventory Control |
| description |
Eight volume models were tested to fit observed data from merchantable tree species of Southern Roraima; four simple entry models with DBH as independent variable and four double entry models with DBH and merchantable height (Hc) as independent variables. Among those, the best model was compared with the one which uses form factor equal to 0.7. Additionally, the same models were tested with diameter at stump height (Dtoco) instead of DBH in order to develop an equation to estimate the volume removed by logging. To carry out this study, 54 sample trees with DBH ≥ 30 cm were taken from a clear cut area for agriculture projects in Rorainópolis, Southern Roraima. The model that best fit the observed data was V = 0.000503 ∗ DBHΛ2.157162 (R2 adj = 0.899 and Syx = 1.38 m3), because it does not have Hc as independent variable. To estimate the volume from the independent variable Dtoco the model that presented the best results was V = 0.002603 ∗ DtocoΛ1.761132 (R2 adj. = 0.789 and Syx = 1.93 m3). In the clear cut area, merchantable height could be measured precisely; in this case, double entry model could be very convenient as well, such as V = 0.000263 ∗ Dtoco Λ1.782244 ∗ Hc Λ 0.765729 (R2 adj. = 0.872 and Syx = 1.51 m3). Models with a universal form factor (0.7, for example) are not reliable mainly because Hc is not obtained precisely during the field data collection for forest inventory. |
| format |
Artigo |
| author |
Gimenez, Bruno Oliva |
| author2 |
Danielli, Filipe Eduardo Oliveira, Criscian Kellen Amaro de Santos, Joaquim dos Higuchi, Niro |
| author2Str |
Danielli, Filipe Eduardo Oliveira, Criscian Kellen Amaro de Santos, Joaquim dos Higuchi, Niro |
| title |
Volume equations for merchantable timber species of Southern Roraima state |
| title_short |
Volume equations for merchantable timber species of Southern Roraima state |
| title_full |
Volume equations for merchantable timber species of Southern Roraima state |
| title_fullStr |
Volume equations for merchantable timber species of Southern Roraima state |
| title_full_unstemmed |
Volume equations for merchantable timber species of Southern Roraima state |
| title_sort |
volume equations for merchantable timber species of southern roraima state |
| publisher |
Scientia Forestalis/Forest Sciences |
| publishDate |
2020 |
| url |
https://repositorio.inpa.gov.br/handle/1/15419 |
| _version_ |
1787142086910279680 |
| score |
11.755432 |