English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Mangrove ecosystems are identified as important blue carbon ecosystems because they play an important role in carbon sequestration among the coastal ecosystems. The present study was conducted to develop an allometric model to determine the stem carbon content of  Rhizophora mucronata  in a conserved tropical mangrove ecosystem. The stepwise regression with backward elimination was used to identify the best fit model to predict the stem carbon content of  Rhizophora mucronata . The 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. The reliability of the model was 76.7%, and the model was significant at 95% level of significance. The model bias values and the model efficiency values for the best fit model suggested that the model is suitable to be used practically. The 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.

Allometric Modelling of the Stem Carbon Content of Rhizophora mucronata in a Tropical Mangrove Ecosystem