Carbon stock in the Sundarbans mangrove forest: spatial variations in vegetation types and salinity zones
Carbon stock in the Sundarbans mangrove forest: spatial variations in vegetation types and salinity zones
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DOI：
10.1007/s11273-014-9379-x
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发表时间：
2015-04
影响因子：
1.8
通讯作者：
M. Mizanur;Rahman bullet;Md Nabiul;Islam Khan;bullet A K Fazlul;Hoque bullet;Imran Ahmed
中科院分区：
文献类型：
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作者：
M. Mizanur;Rahman bullet;Md Nabiul;Islam Khan;bullet A K Fazlul;Hoque bullet;Imran Ahmed
孙德尔本斯（21º30′-22播30 ′ N和89º00′-89播55 ′ E）是世界上最大的红树林。森林对于吸收大气中的碳非常重要，红树林是最有效的碳吸收植物之一。本研究提出了估计生态系统碳（地上和地下）股票在孙德尔本斯使用大规模的数据集收集系统网格样本在整个森林。研究了孙德尔本斯不同植被类型和不同盐度带碳储量的变化。研究了不同植被功能属性（断面积、平均树高、树冠覆盖度等）与碳储量的关系。也进行了调查。不同植被类型、盐碱区和植被功能属性的碳储量差异显着（P< 0.05）。Sundri（Heritiera fomes）占主导地位的森林类型比其他植被类型储存更多的生态系统碳（360.1 ± 22.71 Mg C ha−1）。淡水区显示出最高的生态系统碳储量（336.09 ± 14.74 Mg C ha−1），其次是中等和强盐度区。盐度增加了地下碳储量，淡水区地下碳储量占生态系统碳的比例最低（57.2%），而强盐度区地下碳储量占生态系统碳的比例最高（71.9%）。结果还表明，无论红树林是高还是矮，都有大量的碳储存在沉积物中。各植被类型中优势种红树林的植被属性（断面积和平均树高）被确定为生态系统碳储量的关键指标。推荐了几种由断面积或平均树高预测生态系统碳储量的广义回归方程。
The Sundarbans (21º30′–22º30′ N and 89º00′–89º55′ E) is the largest mangrove forest in the world. Forests are very important for sequestering atmospheric carbon and mangroves are amongst the most efficient in carbon sequestration. This study presents the estimation of ecosystem carbon (above- and belowground) stock in the Sundarbans using a large scale data sets collected from systematic grid samples throughout the forest. The variation of carbon stock in different vegetation types and in different salinity zones in Sundarbans was investigated. The relationships between carbon stock and different vegetation functional attributes (basal area, mean tree height, crown coverage etc.) were also investigated. The amount of carbon stored varied significantly among vegetation types, salinity zones and vegetation functional attributes (P< 0.05). Sundri (Heritiera fomes)dominated forest types store more ecosystem carbon (360.1 ± 22.71 Mg C ha−1) than other vegetation types. The fresh water zone shows the highest ecosystem carbon stock (336.09 ± 14.74 Mg C ha−1) followed by moderate and strong salinity zones. Salinity was found to enhance belowground carbon stock as revealed by the lowest proportion of belowground carbon stock (57.2 %) with respect to ecosystem carbon in fresh water zone and by the highest (71.9 %) in strong salinity zone. The results also reveal that no matter whether the mangroves are tall or dwarf, a significant amount of carbon is stored into the sediment. The vegetation attributes (basal area and mean tree height) of the dominant mangrove species in each vegetation type were identified as the key indicator of ecosystem carbon stock. We recommended some generalized regression equations to predict ecosystem carbon stock from basal area or mean tree height.