Allometric equation for Raphia laurentii De Wild, the commonest palm in the central Congo peatlands.
Allometric equation for Raphia laurentii De Wild, the commonest palm in the central Congo peatlands.
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Raphia laurentii de Wild的异形方程，这是中央刚果泥炭地中最常见的棕榈。
DOI：
10.1371/journal.pone.0273591
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发表时间：
2023
期刊：
影响因子：
3.7
通讯作者：
中科院分区：
文献类型：
--
作者：
世界上最大的热带泥炭地位于刚果盆地中部。罗伦蒂野生棕榈树是这些泥炭地中最丰富的棕榈树，在大约45%的泥炭地面积上形成了主导到单一主导的林分。R. laurentii是一种无树干的棕榈树，叶子长达20米。由于其形态的原因，目前还没有一个异速生长方程可以应用于R。劳伦氏菌因此，它目前被排除在地上生物量（AGB）估计刚果盆地泥炭地。在这里，我们开发的异速生长方程R。在刚果共和国的泥炭沼泽森林中，通过破坏性取样90个个体，对laurentii进行了研究。在破坏性取样之前，测量茎基直径、叶柄平均直径、叶柄直径之和、棕榈总高度和棕榈叶数。破坏性取样后，将每个个体分成茎、鞘、叶柄、轴和小叶类别，然后干燥并称重。我们发现，棕榈叶至少占总AGB的77%。laurentii，叶柄直径之和是AGB的最佳单一预测变量。然而，最佳的整体异速生长方程结合了叶柄直径（SDp），总棕榈高度（H）和组织密度（TD）：AGB = Exp（−2.691 + 1.425 × ln（SDp）+ 0.695 × ln（H）+ 0.395 × ln（TD））。我们应用我们的异速生长方程的数据，从附近的两个1公顷的森林样地，一个占主导地位的R。laurentii，其中R. laurentii占总森林AGB的41%（使用Chave et al.2014异速生长方程估计硬木树AGB），并且以硬木树种为主，其中R. laurentii占总AGB的8%。在整个地区，我们估计R。laurentii在地上储存了大约200万吨碳。将R.在AGB的估计，罗伦，将大大提高整体AGB，因此碳储量估计刚果盆地泥炭地。
The world’s largest tropical peatland lies in the central Congo Basin. Raphia laurentii De Wild, the most abundant palm in these peatlands, forms dominant to mono-dominant stands across approximately 45% of the peatland area. R. laurentii is a trunkless palm with fronds up to 20 m long. Owing to its morphology, there is currently no allometric equation which can be applied to R. laurentii. Therefore it is currently excluded from aboveground biomass (AGB) estimates for the Congo Basin peatlands. Here we develop allometric equations for R. laurentii, by destructively sampling 90 individuals in a peat swamp forest, in the Republic of the Congo. Prior to destructive sampling, stem base diameter, petiole mean diameter, the sum of petiole diameters, total palm height, and number of palm fronds were measured. After destructive sampling, each individual was separated into stem, sheath, petiole, rachis, and leaflet categories, then dried and weighed. We found that palm fronds represented at least 77% of the total AGB in R. laurentii and that the sum of petiole diameters was the best single predictor variable of AGB. The best overall allometric equation, however, combined the sum of petiole diameters (SDp), total palm height (H), and tissue density (TD): AGB = Exp(−2.691 + 1.425 × ln(SDp) + 0.695 × ln(H) + 0.395 × ln(TD)). We applied one of our allometric equations to data from two nearby 1-hectare forest plots, one dominated by R. laurentii, where R. laurentii accounted for 41% of the total forest AGB (with hardwood tree AGB estimated using the Chave et al. 2014 allometric equation), and one dominated by hardwood species, where R. laurentii accounted for 8% of total AGB. Across the entire region we estimate that R. laurentii stores around 2 million tonnes of carbon aboveground. The inclusion of R. laurentii in AGB estimates, will drastically improve overall AGB, and therefore carbon stock estimates for the Congo Basin peatlands.
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