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.

全球清单显示，红树林的碳储量丰富，目前缺乏干旱地区的数据，干旱地区的碳储量相对于潮湿地区可能处于贫困状态。我们量化了卡塔尔三个干旱的Avicennia滨海林分的总碳储量（C），并报告了该地区的地上生物量等速方程和第一个地下生物量等速方程。异位关系表明，干旱地区地下红树林的碳储量比以前报道的更为重要。比较先前发布的和我们本地开发的异速方程，可以发现A. marina与热带潮湿环境中的相同物种相比，卡塔尔的卡塔尔人为地下成分分配的生物量相对更多，这与植物适应干旱条件的适应性一致。总碳储量为45.70±3.70 Mg C ha ^-1，其中深度为50 cm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 Cah ^-1。深度1 m的土壤C储量为50.17±6.27 Mg C ha ^-1。总体而言，红树林在卡塔尔干旱，高盐环境中的碳储量相对较小，这可能是由于树木生产力和生长速度相对较低，以及降雨驱动的陆源泥沙输入量有限所致。通过对气候极端情况下的红树林碳提供进一步的估算，这些结果可有助于更好地量化全球红树林的碳，减少干旱红树林的地下树碳估算中的不确定性，并在面对气候变化时对红树林碳储量产生影响。