Anasia Elingaya Saria, Xiuzhen Li, Tianyou Li, Michael Elias Mgalula, Hamidu Seki, Jinzhou Du
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Smith (Lythraceae), and Rhizophora mucronata Lam were identified. Allometric models were used to estimate aboveground carbon (AGC) and belowground carbon (BGC). An organic elemental analyser determined the organic carbon content in the sediments, followed by calculations using a specific equation for soil organic carbon (SOC) content. Analysis revealed that the mean total carbon stock density in the Mtoni estuary is 334.7 ± 37.88 t/ha, which is equivalent to 1228 t CO<sub>2</sub> ha. In contrast, Kisiju stored 345.6 ± 31.7 t/ha, which is equivalent to 1268 t CO<sub>2</sub> ha. AGC averages 36.81 ± 7.06 t/ha in Mtoni and 70.65 ± 8.83 t/ha in Kisiju, whereas BGC averages 6.52 ± 1.23 t/ha and 16.61 ± 1.71 t/ha, respectively. The SOC density is greater in Mtoni at 291.45 ± 29.59 t/ha than that in Kisiju at 258.45 ± 21.16 t/ha, constituting 82% of the total carbon pool. The capacity of carbon storage in these mangrove ecosystems highlights their role in mitigating climate change. Nonetheless, fluctuations in carbon stores can be attributed to factors such as conservation status, deforestation rates, salinity, sediment deposition, ecosystem productivity, human disturbances, and urban pollution. The findings highlight the need for further conservation measures to enhance carbon storage and address climate change, offering critical information to policymakers.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 8","pages":"867"},"PeriodicalIF":3.0000,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantifying carbon stocks in mangrove estuaries of two coastal cities in Tanzania.\",\"authors\":\"Anasia Elingaya Saria, Xiuzhen Li, Tianyou Li, Michael Elias Mgalula, Hamidu Seki, Jinzhou Du\",\"doi\":\"10.1007/s10661-025-14307-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Mangrove forests offer a wide range of ecosystem services, including coastal protection and climate regulation. These ecosystems serve as significant carbon sinks, effectively sequestering and storing carbon in their biomass and sediments. However, various human activities have an impact on carbon stocks in mangroves. The current study quantifies the carbon stored in mangrove forests of the Mtoni estuary in Dar es Salaam and the Kisiju estuary in Pwani, Tanzania, from 40 random sampling plots. Seven species of mangroves Avicennia marina (Forssk.) Vierh (Acanthaceae), Bruguiera gymnorrhiza (L.) Lam. (Rhizophoraceae), Ceriops tagal (Perr.) C. B. Rob, Heritiera littoralis Dryand. (Malvaceae), Xylocarpus granatum Koen. (Meliaceae), Sonneratia alba J. Smith (Lythraceae), and Rhizophora mucronata Lam were identified. Allometric models were used to estimate aboveground carbon (AGC) and belowground carbon (BGC). An organic elemental analyser determined the organic carbon content in the sediments, followed by calculations using a specific equation for soil organic carbon (SOC) content. 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引用次数: 0
摘要
红树林提供广泛的生态系统服务,包括海岸保护和气候调节。这些生态系统是重要的碳汇,有效地将碳隔离并储存在其生物量和沉积物中。然而,各种人类活动对红树林的碳储量产生了影响。目前的研究量化了坦桑尼亚达累斯萨拉姆的Mtoni河口和Pwani的Kisiju河口红树林中的碳储量,这是通过40个随机采样点进行的。红树(Avicennia marina)七种木门(棘科);林。(根霉科);C. B.罗布,沿海地区遗产。(锦葵科);鉴定出三种植物,分别为烟炱科(Meliaceae)、海桑(Sonneratia alba J. Smith)和木根霉(Rhizophora mucronata Lam)。利用异速生长模型估算地上碳(AGC)和地下碳(BGC)。有机元素分析仪测定了沉积物中的有机碳含量,然后使用土壤有机碳(SOC)含量的特定方程进行计算。结果表明,Mtoni河口平均总碳储量密度为334.7±37.88 t/ha,相当于1228 t CO2 ha。kisisju的储水量为345.6±31.7 t/ha,相当于1268 t CO2 /ha。Mtoni和kiisju的AGC平均值分别为36.81±7.06 t/ha和70.65±8.83 t/ha, BGC的AGC平均值分别为6.52±1.23 t/ha和16.61±1.71 t/ha。Mtoni的有机碳密度为291.45±29.59 t/ha,高于kisisju的258.45±21.16 t/ha,占总碳库的82%。这些红树林生态系统的碳储存能力突出了它们在减缓气候变化方面的作用。尽管如此,碳储量的波动可归因于保护状况、森林砍伐率、盐度、沉积物沉积、生态系统生产力、人为干扰和城市污染等因素。这些发现强调需要采取进一步的保护措施来加强碳储存和应对气候变化,为政策制定者提供了关键信息。
Quantifying carbon stocks in mangrove estuaries of two coastal cities in Tanzania.
Mangrove forests offer a wide range of ecosystem services, including coastal protection and climate regulation. These ecosystems serve as significant carbon sinks, effectively sequestering and storing carbon in their biomass and sediments. However, various human activities have an impact on carbon stocks in mangroves. The current study quantifies the carbon stored in mangrove forests of the Mtoni estuary in Dar es Salaam and the Kisiju estuary in Pwani, Tanzania, from 40 random sampling plots. Seven species of mangroves Avicennia marina (Forssk.) Vierh (Acanthaceae), Bruguiera gymnorrhiza (L.) Lam. (Rhizophoraceae), Ceriops tagal (Perr.) C. B. Rob, Heritiera littoralis Dryand. (Malvaceae), Xylocarpus granatum Koen. (Meliaceae), Sonneratia alba J. Smith (Lythraceae), and Rhizophora mucronata Lam were identified. Allometric models were used to estimate aboveground carbon (AGC) and belowground carbon (BGC). An organic elemental analyser determined the organic carbon content in the sediments, followed by calculations using a specific equation for soil organic carbon (SOC) content. Analysis revealed that the mean total carbon stock density in the Mtoni estuary is 334.7 ± 37.88 t/ha, which is equivalent to 1228 t CO2 ha. In contrast, Kisiju stored 345.6 ± 31.7 t/ha, which is equivalent to 1268 t CO2 ha. AGC averages 36.81 ± 7.06 t/ha in Mtoni and 70.65 ± 8.83 t/ha in Kisiju, whereas BGC averages 6.52 ± 1.23 t/ha and 16.61 ± 1.71 t/ha, respectively. The SOC density is greater in Mtoni at 291.45 ± 29.59 t/ha than that in Kisiju at 258.45 ± 21.16 t/ha, constituting 82% of the total carbon pool. The capacity of carbon storage in these mangrove ecosystems highlights their role in mitigating climate change. Nonetheless, fluctuations in carbon stores can be attributed to factors such as conservation status, deforestation rates, salinity, sediment deposition, ecosystem productivity, human disturbances, and urban pollution. The findings highlight the need for further conservation measures to enhance carbon storage and address climate change, offering critical information to policymakers.
期刊介绍:
Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.