Academic Journal
Modelling diameter at breast height distribution of jack pine and black spruce natural stands in eastern Canada
| العنوان: | Modelling diameter at breast height distribution of jack pine and black spruce natural stands in eastern Canada |
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| المؤلفون: | Rijal, Baburam, Sharma, Mahadev |
| المساهمون: | Ontario Ministry of Natural Resources and Forestry |
| المصدر: | Canadian Journal of Forest Research ; volume 54, issue 5, page 554-568 ; ISSN 0045-5067 1208-6037 |
| بيانات النشر: | Canadian Science Publishing |
| سنة النشر: | 2024 |
| الوصف: | Individual tree diameter at breast height (DBH) distribution is an important information for forest management planning. Forest managers obtain the DBH data either by field measurements or estimations using predictive models. However, probability distribution models are still lacking or need improvement. Therefore, we aimed to construct and fit diameter distribution models that reflect forest structure and composition change. We evaluated gamma, log-normal, and Weibull probability distribution functions (PDFs) for two commercially important tree species, black spruce ( Picea mariana (Mill) B.S.P.) and jack pine ( Pinus banksiana Lamb), grown in natural stands across Ontario, Canada. We modelled the parameters of the distributions as a function of stand-level variables for these species. We used DBH data from 735 permanent sample plots. Our results showed that all three evaluated PDFs reflected observed DBH distribution. We demonstrated that the moment-based recovered parameters could represent the maximum likelihood-estimated parameters precisely, and parameters of the PDFs can be modelled as a function of stand-level dynamic covariates. The models unbiasedly predicted the PDF parameters DBH means and DBH classes. The R 2 of the model fit ranged between 0.35 and 0.98 for the predicted parameters and 0.90 and 0.97 for the predicted DBH. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1139/cjfr-2023-0101 |
| الاتاحة: | http://dx.doi.org/10.1139/cjfr-2023-0101 https://cdnsciencepub.com/doi/full-xml/10.1139/cjfr-2023-0101 https://cdnsciencepub.com/doi/pdf/10.1139/cjfr-2023-0101 |
| Rights: | http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining |
| رقم الانضمام: | edsbas.BF90CD52 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1139/cjfr-2023-0101 |
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