Allometric Models to Estimate Carbon Content in Arecaceae Based on Seven Species of Neotropical Palms
Allometric Models to Estimate Carbon Content in Arecaceae Based on Seven Species of Neotropical Palms
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DOI：
10.3389/ffgc.2022.867912
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发表时间：
2022-07-12
影响因子：
3.2
通讯作者：
Alvarez-Vergnani, Carolina
中科院分区：
文献类型：
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作者：
Avalos, Gerardo;Cambronero, Milena;Alvarez-Vergnani, Carolina
我们提出了异速生长模型，用于估计槟榔科和七种丰富的新热带棕榈树种的总碳含量和地上碳（AGC）：冠层物种 Socratea exorriza (n = 10) 和 Iriartea deltoidea (n = 10)、亚冠层棕榈 Euterpe precatoria (n = 10) 和林下物种 Asterogyne martiana (n = 15)， Prestoea decurrens (n = 10)、Geonoma Interrupta (n = 10) 和 Chamaedorea tepejilote (n = 22)。了解棕榈等功能类群的异速生长对于改善热带森林碳储量估算和确定异速生长差异如何影响物种功能多样性至关重要。这项研究是在哥斯达黎加加勒比海斜坡的热带雨林中进行的。我们采摘了 87 棵不同大小的棕榈树，将它们分为根、茎和叶，测量了它们的鲜生物量和干生物量，并计算了它们的碳含量、组织密度和干质量分数 (dmf)。我们基于这 7 个物种和 87 个样本估算总碳含量的通用棕榈模型占物种间差异的 92%。我们生成了一个类似的模型来估计 AGC 并解释了 91% 的变化。我们将我们的 AGC 模型与用于估计棕榈碳含量的两个模型进行了比较：Goodman 等人。 (2013) 和 Chave 等人。 （2014）的模型，发现所有三个都收敛于 AGC 的估计，尽管我们的模型是最简约的，因为它仅用两个变量（茎直径和茎高度）就达到了相同的效率。为了提高异速生长模型的准确性，我们需要纳入更多的物种、更多样化的生长形式、更广泛的尺寸范围、更大的样本量以及以棕榈为主的更多样化的栖息地。使用异速生长方法估算碳含量可以受益于跨植物群体的数据收集的一致性。
We present allometric models for estimating total carbon content and above ground carbon (AGC) for the Arecaceae family, and for seven abundant neotropical palm species: the canopy species Socratea exorrhiza (n = 10) and Iriartea deltoidea (n = 10), the sub-canopy palm Euterpe precatoria (n = 10), and the understory species Asterogyne martiana (n = 15), Prestoea decurrens (n = 10), Geonoma interrupta (n = 10), and Chamaedorea tepejilote (n = 22). Understanding the allometry of functional groups such as palms is critical for improving carbon stocks estimates in tropical forests and determining how allometric differences affect species functional diversity. The research was carried out in the tropical rainforests of the Caribbean slope of Costa Rica. We harvested 87 palms of a wide range of sizes, and separated them into roots, stems, and leaves, measured their fresh and dry biomass, and calculated their carbon content, tissue density, and dry mass fraction (dmf). Our general palm model estimating total carbon content based on these seven species and 87 samples accounted for 92% of the variation across species. We generated a similar model to estimate AGC and explained 91% of the variation. We compared our AGC model with two models used to estimate palm carbon content: Goodman et al. (2013)'s and Chave et al. (2014)'s models and found that all three converged on the estimation of AGC although our model was the most parsimonious because it achieved the same efficiency with only two variables, stem diameter and stem height. To improve the accuracy of allometric models we need to incorporate more species, a greater diversity of growth forms, a wider range of sizes, a larger sample size, and more diversity of habitats dominated by palms. Estimating carbon content using allometric approaches could benefit from more consistency in data collection across plant groups.