dc.contributor.author |
Nilmini Wijeyaratne, W. M. D. |
|
dc.contributor.author |
Liyanage, P. M. |
|
dc.date.accessioned |
2021-06-10T12:36:41Z |
|
dc.date.available |
2021-06-10T12:36:41Z |
|
dc.date.issued |
2020 |
|
dc.identifier.citation |
Nilmini Wijeyaratne, W. M. D., & Liyanage, P. M. (2020). Allometric Modelling of the Stem Carbon Content of Rhizophora mucronata in a Tropical Mangrove Ecosystem. International Journal of Forestry Research, 2020, 1–6. https://doi.org/10.1155/2020/8849413 |
en_US |
dc.identifier.uri |
http://repository.kln.ac.lk/handle/123456789/22631 |
|
dc.description.abstract |
Mangrove ecosystems are identified as important blue carbon ecosystems because they play an important role in carbon sequestration
among the coastal ecosystems. .e present study was conducted to develop an allometric model to determine the stem
carbon content of Rhizophora mucronata in a conserved tropical mangrove ecosystem. .e stepwise regression with backward
elimination was used to identify the best fit model to predict the stem carbon content of Rhizophora mucronata. .e allometric
equation, Ln C � −2.403 + 2.247 Ln DBH, where C: stem carbon content and DBH: diameter at breast height, was constructed to be
evaluated and validated as the most suitable and practically applicable model. .e reliability of the model was 76.7%, and the
model was significant at 95% level of significance. .e model bias values and the model efficiency values for the best fit model
suggested that the model is suitable to be used practically. .e present study used a nondestructive method of measuring
individual tree parameters to develop this allometric equation to predict the stem carbon content and it is considered as an
environmentally friendly approach with minimum damage to the tree. |
en_US |
dc.publisher |
International Journal of Forestry Research |
en_US |
dc.title |
Allometric Modelling of the Stem Carbon Content of Rhizophora mucronata in a Tropical Mangrove Ecosystem |
en_US |