Abstract
Tree allometric equations are critical tool for understanding carbon storage potential and develop strategic policies to mitigate climate change. This common testing may be applicable to the world mangroves particularly, the wild forests. The present study highlights the progress on mangrove allometry in solving the problems of site-specific and species-specific relationships. This included parameters like measuring diameter at breast height which is 1.3 m from base, tree height which is the ultimate height from base to tip of the tree and first-forking height which is the height of the tree from base to the first forking—to be included as independent variables with above-ground biomass and above-ground carbon as dependent variables in developing simple and multiple linear models. The inclusion of first-forking height in mangrove allometry is the first of its kind. In this study, the mangroves of Bhitarkanika Wildlife Sanctuary have shown a greater biomass than the Mahanadi estuary proving the fact that the conserved forests are in much better health conditions than those anthropogenically stressed area in the western Bay of Bengal. The 20 best fit equations have been chosen as model equations with R2 values greater than 0.90 both for Bhitarkanika and Mahanadi mangrove ecosystem. The above-ground biomass and above-ground carbon values have drawn attention towards forest bioenergy quantification and its importance of conservation in the growing demand for energy resources worldwide.
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Acknowledgements
The authors are grateful to Ministry of Earth Sciences, Govt. of India project (Sanction No. MoES/36/OOIS/Extra/44/2015 dated 29th November, 2016) for providing financial support. We would like to thank Institute of Forest Biodiversity, Hyderabad for helping us in analysing the samples. We also thank the Forest Dept. Govt. of Odisha for providing necessary permissions to carry on the research work.
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Banerjee, K., Sahoo, C.K., Bal, G. et al. Allometric model based on dendrometrical measurements in mangroves of western Bay of Bengal. Trop Ecol 63, 351–364 (2022). https://doi.org/10.1007/s42965-021-00215-9
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DOI: https://doi.org/10.1007/s42965-021-00215-9