Amazon palm biomass and allometry
Amazon palm biomass and allometry
复制标题
DOI：
10.1016/j.foreco.2013.09.045
复制
发表时间：
2013-12-15
影响因子：
3.7
通讯作者：
Baker, Timothy R.
中科院分区：
文献类型：
--
作者：
Goodman, Rosa C.;Phillips, Oliver L.;Baker, Timothy R.
棕榈（槟榔科）是丰富的亚马逊森林，但这些单子叶植物的异速生长仍然很难量化。木本棕榈生物量最常用双子叶树木模型估计，这使得其真实生物量和生产力存在很大的不确定性。我们开发了第一个直接测量的乔木棕榈生物量的广泛数据集：来自陆地和湿地森林中的9个物种的136个个体- Astrocaryum murumuru，Attalea phalerata，Bactris gasipaes，Euterpe precatoria，Iriartea deltoidea，Etra flexuosa，Etrella aculeata，Oenocarpus bataua和Socratea exorrhiza。我们创建了单个物种（n = 8-21）和家庭水平（n = 97-106）的异速生长方程，使用直径，茎高，总高度，茎干质量分数，估计（i）地上总生物量为所有物种，（ii）地下生物量为两个湿地物种（和），和（iii）叶质量为所有物种。这些新的棕榈模型，然后应用到9个1公顷的地块在亚马逊西南部（坦博帕塔），以计算对森林生物量估计的影响，一旦棕榈质量估计棕榈特定的模型，而不是从双子叶植物的模型创建。我们发现，茎高是乔木棕榈生物量的最佳预测变量，但茎高和生物量之间的关系在物种之间存在差异。大多数物种表现出弱的生物量直径的关系，但一个显着的关系，可以确定在所有物种。新的棕榈模型比现有的双子叶植物模型更好地估计棕榈质量。与使用最近发表的泛热带树木生物量模型相比，使用我们的物种水平模型将我们研究地点的棕榈生物量估计值增加了14- 27%。在其他森林中，使用这些棕榈方程式对生物量估计的影响将取决于棕榈的大小、丰度和物种组成。(C)2013爱思唯尔有限公司版权所有。
Palms (family Arecaceae) are abundant in Amazonian forests, but the allometry of these monocotyledonous plants remains poorly quantified. Woody palm biomass is most commonly estimated with dicotyle-donous tree models, which leaves substantial uncertainty as to their true biomass and productivity. We developed the first extensive dataset of directly-measured arborescent palm biomass: 136 individuals from nine species in terra firme and wetland forests - Astrocaryum murumuru, Attalea phalerata, Bactris gasipaes, Euterpe precatoria, Iriartea deltoidea, Mauritia flexuosa, Mauritiella aculeata, Oenocarpus bataua, and Socratea exorrhiza. We created single species (n = 8-21) and family-level (n = 97-106) allometric equations, using diameter, stem height, total height, and stem dry mass fraction, to estimate (i) total aboveground biomass for all species, (ii) belowground biomass for the two wetland species (Mauritia and Mauritiella), and (iii) leaf mass for all species. These new palm models were then applied to nine 1-ha plots in the southwestern Amazon (Tambopata) to calculate the impact on forest biomass estimates once palm mass is estimated with palm-specific models, rather than from models created for dicot trees. We found that stem height was the best predictor variable for arborescent palm biomass, but the relationship between stem height and biomass differed among species. Most species showed weak biomass-diameter relationships, but a significant relationship could be identified across all species. The new palm models were better estimators of palm mass than existing dicot models. Using our species-level models increased estimates of palm biomass at our study site by 14-27%, compared to using recently published pantropical biomass models for trees. In other forests, the effect of using these palm equations on biomass estimates will depend on palm sizes, abundance, and species composition. (C) 2013 Elsevier B.V. All rights reserved.