4.7 Article

Carbon stock in biomass pool of fragmented mangrove habitats of Kochi, Southern India

期刊

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷 30, 期 43, 页码 96746-96762

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SPRINGER HEIDELBERG
DOI: 10.1007/s11356-023-29069-5

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Mangrove; Biomass; carbon stock; allometric equation; carbon dioxide equivalent; nature-based solution

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This study estimated the biomass carbon stock of 13 mangrove species in the South-West coast of India, filling gaps in global carbon stock assessment and increasing knowledge on biomass variability among mangrove species and habitats. The study emphasized the important role of biomass carbon pool in long-term soil carbon burial. Results showed a very high mean total living biomass carbon stock for Kochi mangroves, and significant differences in biomass stock between stations and within species. The study highlights the need for site- and species-specific equations to solve uncertainties in global mangrove carbon stock.
Even though, the blue carbon ecosystems are gaining keen research interest around the globe, the carbon stock of South-West coast of India was poorly reported, and this study is a pioneer attempt and will be an important document for filling the gaps in uncertainties in global carbon stock assessment and also will increase knowledge on biomass variability among mangrove species and mangrove habitats. The study also highlighted the vital role of biomass carbon pool for long-term soil carbon burial. We estimated the above and below-ground biomass carbon stock of 13 mangrove species using two common allometric equations and species-specific equations and reported a very high mean total living biomass carbon stock of Kochi mangroves at 237.19 & PLUSMN; 113.82 Mg C ha(-1), 295.78 & PLUSMN; 143.14 Mg C ha(-1), and 272.42 & PLUSMN; 132.78 Mg C ha(-1) according to Chave's, Komiyama equation and species-specific equation respectively corresponding to carbon dioxide equivalent (CO(2)e) of approximately 4,37,774.51 Mg CO(2)e. The biomass stock was significantly differed between the stations (p = 0.000) and also within species (p = 0.020). Among the mangrove species, Avicennia officinalis contributed highest and Bruguiera sexangula contributed least. Variation was observed for biomass stock of mangroves with large trunk diameter while comparing different allometric equations and therefore projected the need for the development of site- and species-specific equations for solving the uncertainty in global mangrove carbon stock. The study observed that dominant mangrove vegetation type, salinity and also the geomorphology of mangrove habitat had strong influence on variability in biomass stock within a small regional area. The study also suggests that understanding the structure and biomass carbon storage of each regional mangrove habitats can be wisely used in mangrove restoration and conservation programmes and in turn for nature-based solutions for climate change mitigation efforts.

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