Mangrove carbon stocks and biomass partitioning in an extreme environment
Mangrove carbon stocks and biomass partitioning in an extreme environment
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DOI：
10.1016/j.ecss.2020.106940
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发表时间：
2020-10-05
影响因子：
2.8
通讯作者：
Al-Maslamani, Ibrahim
中科院分区：
文献类型：
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作者：
Chatting, Mark;LeVay, Lewis;Al-Maslamani, Ibrahim
显示红树林具有丰富碳储存的全球清单目前缺乏来自干旱地区的数据，而相对于潮湿地区，干旱地区的碳储存可能在功能上是贫乏的。我们量化的总碳储量（C）的三个干旱白骨壤码头站在卡塔尔和报告的地上生物量异速生长方程和第一个地下生物量异速生长方程在该地区。异速生长关系表明，在干旱地区的地下红树林C股票比以前报道的更重要。与国内已发表的异速生长方程的比较表明，A.在卡塔尔的一个码头，与热带潮湿环境中的同一物种相比，分配给地下组分的生物量相对较多，这与植物适应生活在压力条件下是一致的。总碳储量为45.70 +/- 3.70 Mg C ha（-1），其中50 cm深度的树木和土壤碳储量分别为10.18 +/- 0.82 Mg C ha（-1）和35.52 +/- 2.88 Mg ha（-1）。1 m深处的土壤碳储量为50.17 +/- 6.27 Mg C ha（-1）。总体而言，红树林维持相对较小的碳储量在干旱，高盐环境的卡塔尔，这可能是由于树木的生产力和增长相对较低，以及有限的海洋驱动的运输陆源沉积物输入。通过提供对极端气候条件下红树林碳的进一步估计，这些结果有助于更好地量化全球红树林碳，减少干旱红树林地下树木碳估计的不确定性，并对气候变化下的红树林碳储存产生影响。
Global inventories that show mangrove forests have rich carbon stores currently lack data from arid areas where carbon stocks may be functionally impoverished relative to humid regions. We quantified total carbon stocks (C) of three arid Avicennia marina stands in Qatar and report an aboveground biomass allometric equation and the first below ground biomass allometric equation in the region. The allometric relationships indicate that below ground mangrove C stocks in arid locations are more important than previously reported. Comparison of previously published and our locally developed allometric equations show that A. marina in Qatar allocate comparatively more biomass to below ground components than the same species in tropical humid settings, which is consistent with plant adaptations to living in stressed conditions. Total C stocks were 45.70 +/- 3.70 Mg C ha(-1), of which tree and soil C stocks to 50 cm depth represented 10.18 +/- 0.82 Mg C ha(-1) and 35.52 +/- 2.88 Mg ha(-1) respectively. Soil C stocks to 1 m depth were 50.17 +/- 6.27 Mg C ha(-1). Overall, mangroves sustain relatively small C stocks in the arid, hypersaline environment of Qatar, which may be due to both relatively low tree productivity and growth, as well as limited rainfall-driven transport of terrigenous sediment inputs. By providing further estimates of mangrove carbon at their climatic extremes, these results can contribute to a better quantification of global mangrove carbon, reduce uncertainty in below ground tree C estimates from arid mangroves and have implications for mangrove carbon stocks in the face of climate change.