Allometric equations for estimating stem biomass of Artocarpus chaplasha Roxb. in Sylhet hill forest of Bangladesh
Accurate tree biomass estimation is crucial for management of forest stand either in term of conservation values or in sustainable management. The main objective of this study was to obtain the best-fit model for predicting stem biomass of Artocarpus Chaplasha in Sylhet hill forest region. In this s...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-06-01
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| Series: | Trees, Forests and People |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666719321000236 |
| _version_ | 1818415237271912448 |
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| author | Md. Rafikul Islam Md. Salim Azad Abdus Subhan Mollick Md. Kamruzzaman Md. Nabiul Islam Khan |
| author_facet | Md. Rafikul Islam Md. Salim Azad Abdus Subhan Mollick Md. Kamruzzaman Md. Nabiul Islam Khan |
| author_sort | Md. Rafikul Islam |
| collection | DOAJ |
| description | Accurate tree biomass estimation is crucial for management of forest stand either in term of conservation values or in sustainable management. The main objective of this study was to obtain the best-fit model for predicting stem biomass of Artocarpus Chaplasha in Sylhet hill forest region. In this study, 157 individual tree data from two separate national parks were used. The most widely used logarithmic allometric models were developed and compared. Commonly used parameters, such as R2, RSE, MAB, AICc and different statistical tests (such as Durbin–Watson for checking autocorrelation of residual, Shapiro–Wilk test for residual distribution) were used in model selection, where we found model 3 and model 4 having two predictor variables, i.e. tree diameter at 1.3 m (D) and tree height (H) as the best-fit models providing highest R2; lowest RSE, MAB and AICc values. The bias corrected best-fit models were stem biomass (kg) Y=0.0158×D1.7928H1.3198andY=0.0121×(DH)1.6342 which showed low RMSE% and MPE% values compared to previously published one. Though the best-fit models’ diagnostic results showed slight heteroscedasticity of its residuals distribution, they were normally distributed and there were no significant autocorrelation. The results of this study have implications on estimation of tree level biomass and carbon stocks of forests significant for forestry related mitigation options of climate change such as “Reducing Emissions from Deforestation and Forest Degradation (REDD+)” Program. |
| first_indexed | 2024-12-14T11:31:48Z |
| format | Article |
| id | doaj.art-58f9355c2f7d460d8305c4f75c4c4199 |
| institution | Directory Open Access Journal |
| issn | 2666-7193 |
| language | English |
| last_indexed | 2024-12-14T11:31:48Z |
| publishDate | 2021-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Trees, Forests and People |
| spelling | doaj.art-58f9355c2f7d460d8305c4f75c4c41992022-12-21T23:03:15ZengElsevierTrees, Forests and People2666-71932021-06-014100084Allometric equations for estimating stem biomass of Artocarpus chaplasha Roxb. in Sylhet hill forest of BangladeshMd. Rafikul Islam0Md. Salim Azad1Abdus Subhan Mollick2Md. Kamruzzaman3Md. Nabiul Islam Khan4Forestry and Wood Technology Discipline, Khulna University, Khulna 9208, Bangladesh; Erasmus Mundus Master Degree in Mediterranean Forestry and Natural Resources Management, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisbon, Portugal; Corresponding author at: Erasmus Mundus Master Degree in Mediterranean Forestry and Natural Resources Management, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisbon, Portugal.Forestry and Wood Technology Discipline, Khulna University, Khulna 9208, Bangladesh; Graduate School of Agriculture, Kyoto University, Kyoto 606-8501, JapanForestry and Wood Technology Discipline, Khulna University, Khulna 9208, BangladeshForestry and Wood Technology Discipline, Khulna University, Khulna 9208, BangladeshForestry and Wood Technology Discipline, Khulna University, Khulna 9208, BangladeshAccurate tree biomass estimation is crucial for management of forest stand either in term of conservation values or in sustainable management. The main objective of this study was to obtain the best-fit model for predicting stem biomass of Artocarpus Chaplasha in Sylhet hill forest region. In this study, 157 individual tree data from two separate national parks were used. The most widely used logarithmic allometric models were developed and compared. Commonly used parameters, such as R2, RSE, MAB, AICc and different statistical tests (such as Durbin–Watson for checking autocorrelation of residual, Shapiro–Wilk test for residual distribution) were used in model selection, where we found model 3 and model 4 having two predictor variables, i.e. tree diameter at 1.3 m (D) and tree height (H) as the best-fit models providing highest R2; lowest RSE, MAB and AICc values. The bias corrected best-fit models were stem biomass (kg) Y=0.0158×D1.7928H1.3198andY=0.0121×(DH)1.6342 which showed low RMSE% and MPE% values compared to previously published one. Though the best-fit models’ diagnostic results showed slight heteroscedasticity of its residuals distribution, they were normally distributed and there were no significant autocorrelation. The results of this study have implications on estimation of tree level biomass and carbon stocks of forests significant for forestry related mitigation options of climate change such as “Reducing Emissions from Deforestation and Forest Degradation (REDD+)” Program.http://www.sciencedirect.com/science/article/pii/S2666719321000236Allometric equationsStem biomassLog-linear modelNon-destructive |
| spellingShingle | Md. Rafikul Islam Md. Salim Azad Abdus Subhan Mollick Md. Kamruzzaman Md. Nabiul Islam Khan Allometric equations for estimating stem biomass of Artocarpus chaplasha Roxb. in Sylhet hill forest of Bangladesh Trees, Forests and People Allometric equations Stem biomass Log-linear model Non-destructive |
| title | Allometric equations for estimating stem biomass of Artocarpus chaplasha Roxb. in Sylhet hill forest of Bangladesh |
| title_full | Allometric equations for estimating stem biomass of Artocarpus chaplasha Roxb. in Sylhet hill forest of Bangladesh |
| title_fullStr | Allometric equations for estimating stem biomass of Artocarpus chaplasha Roxb. in Sylhet hill forest of Bangladesh |
| title_full_unstemmed | Allometric equations for estimating stem biomass of Artocarpus chaplasha Roxb. in Sylhet hill forest of Bangladesh |
| title_short | Allometric equations for estimating stem biomass of Artocarpus chaplasha Roxb. in Sylhet hill forest of Bangladesh |
| title_sort | allometric equations for estimating stem biomass of artocarpus chaplasha roxb in sylhet hill forest of bangladesh |
| topic | Allometric equations Stem biomass Log-linear model Non-destructive |
| url | http://www.sciencedirect.com/science/article/pii/S2666719321000236 |
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