Department of Marine Biology, Microbiology & Biochemistry, School of Marine Sciences, Cochin University of Science and Technology, Cochin, Kerala, 682016, India.
Department of Climate Variability and Aquatic Ecosystems, Kerala University of Fisheries and Ocean Studies, Kochi, Kerala, India.
Environ Sci Pollut Res Int. 2023 Sep;30(43):96746-96762. doi: 10.1007/s11356-023-29069-5. Epub 2023 Aug 15.
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 ± 113.82 Mg C ha, 295.78 ± 143.14 Mg C ha, and 272.42 ± 132.78 Mg C ha according to Chave's, Komiyama equation and species-specific equation respectively corresponding to carbon dioxide equivalent (COe) of approximately 4,37,774.51 Mg COe. 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.
尽管全球对蓝碳生态系统的研究兴趣日益浓厚,但印度西南海岸的碳储量却鲜有报道,本研究是一次开创性的尝试,将为填补全球碳储量评估中的不确定性提供重要依据,同时也将增加对红树林物种和红树林生境之间生物量变异性的了解。该研究还强调了生物质碳库在长期土壤碳埋藏中的重要作用。我们使用两种常见的整体方程和特定物种方程来估计 13 种红树林物种的地上和地下生物量碳储量,并报告了科钦红树林非常高的平均总活体生物量碳储量,分别为 237.19 ± 113.82 Mg C ha、295.78 ± 143.14 Mg C ha 和 272.42 ± 132.78 Mg C ha,根据 Chave 的方程、Komiyama 方程和特定物种方程,这分别对应于大约 437774.51 Mg COe 的二氧化碳当量 (COe)。生物量储量在各站点之间(p = 0.000)和各物种内部(p = 0.020)存在显著差异。在红树林物种中,海桑贡献最大,木榄贡献最小。在比较不同的整体方程时,观察到了大型树干直径的红树林生物量储量的变化,因此需要为解决全球红树林碳储量的不确定性而开发特定地点和物种的方程。该研究观察到,优势红树林植被类型、盐度以及红树林生境的地貌对小区域内生物量储量的变化有很强的影响。该研究还表明,了解每个区域红树林生境的结构和生物质碳储存可以明智地用于红树林恢复和保护计划,并反过来为减缓气候变化的基于自然的解决方案提供支持。