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

机译:热带红树林生态系统中根瘤菌酸碱矿碳碳含量的同传建模

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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.
机译:红树林生态系统被确定为重要的蓝碳生态系统,因为它们在沿海生态系统之间的碳封存中发挥着重要作用。进行了本研究以开发出种类样性的模型,以确定保守的热带红树林生态系统中脱酚Mucronata的酸碳含量。逐步消除的逐步回归用于鉴定最佳拟合模型以预测根瘤菌莫克隆的茎碳含量。同种异体方程,LN C?= ?? 2.403?+?2.247 LN DBH,其中C:茎碳含量和DBH:乳房高度的直径,以评估和验证为最适合和实际应用的模型。该模型的可靠性为76.7%,该模型具有95%的重要性显着。最佳拟合模型的模型偏置值和模型效率值表明该模型很适合实际使用。本研究采用了一种无损方法来测量单个树参数来发展这种同种异数方程以预测茎碳含量,并且被认为是对树的最小损坏的环保方法。

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