当前位置: X-MOL 学术Trees › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Allometric models for non-destructive estimation of dry biomass and leaf area in Khaya senegalensis (Desr.) A. Juss (Meliaceae), Pterocarpus erinaceus Pear. (Fabaceae) and Parkia biglobosa, Jack, R. Br. (Fabaceae)
Trees ( IF 2.3 ) Pub Date : 2021-06-13 , DOI: 10.1007/s00468-021-02159-y
Beda Innocent Adji , Doffou Sélastique Akaffou , Kouadio Henri Kouassi , Yao Patrice Houphouet , Philippe De Reffye , Jerôme Duminil , Marc Jaeger , Sylvie Sabatier

Key message

The determination by non-destructive measurement of biomass and leaf area is of great interest to avoid any plant degradation. These data are necessary for biomass allocation and estimation of carbon distribution in trees using functional and structural growth models such as GREENLAB.

Abstract

Organ biomass and leaf area are important parameters in plant physiology and production. They are used in structural and functional plant models to simulate tree architecture, but are difficult to determine quickly. Stem (length and internode diameter) and leaf (length and width) dimensions for their estimation provide a non-destructive and rapid field approach. This method has been applied on Khaya senegalensis, Pterocarpus erinaceus and Parkia biglobosa in Côte d'Ivoire. Internodes and leaves of the three species were sampled in 2019 and 2020 on three categories of axis in the architecture of individuals of different ages to maximise the variability of their size. All statistical relationships of the linear models found for the estimation of organ dry and fresh biomass and leaf area were significant for all three species (P = 0.001). A single equation was sufficient to estimate the dry (IDM) and fresh (IFM) biomass of the internodes, the dry (LDM) and fresh (LFM) biomass of the leaves and the leaf area (LA) from the dimensions of the internodes (Volume: VL) and leaves (Number of primary leaflets: NLt, length: LLtL and width: LLtW of the largest primary leaflet, number of secondary leaflets: NSeLt, length: LSeLtL and width: LSeLtW of the largest secondary leaflet). The relationship between the estimates and organ dimensions were defined by the following linear equations: IDM = 0.45 × VL + 0.02, LDM = 0.004 × NLt × LtL × LtW + 0.07 and LA = 0.83 × NLt × LtL × LtW for Khaya senegalensis; IDM = 0.33 × VL + 0.38, LDM = 0.4 × NLt × LtL × LtW − 0.64 and LA = 0.74 × NLt × LtL × LtW + 0.15 for Pterocarpus erinaceus then IDM = 0.47 × VL + 0.44, LDM = 0.44 × NSeLt × LSeLtL × LSeLtW × NLt + 0.94 and LA = 0.13 × NSeLt × LSeLtL × LSeLtW × NLt + 14.64 for Parkia biglobosa. This method can be applied to estimate the organ biomass and LA of species of the same family as the target species in an agroforestry system.



中文翻译:

用于无损估计 Khaya senegalensis (Desr.) A. Juss (Meliaceae), Pterocarpus erinaceus Pear 干生物量和叶面积的异速生长模型。(豆科)和 Parkia biglobosa,Jack, R. Br。(豆科)

关键信息

通过生物量和叶面积的非破坏性测量来确定对于避免任何植物退化具有重要意义。这些数据对于使用功能和结构生长模型(如 GREENLAB)进行生物量分配和估计树木中的碳分布是必要的

抽象的

器官生物量和叶面积是植物生理学和生产中的重要参数。它们用于结构和功能植物模型以模拟树结构,但难以快速确定。用于估计的茎(长度和节间直径)和叶(长度和宽度)尺寸提供了一种非破坏性和快速的现场方法。该方法已应用于Khaya senegalensisPterocarpus erinaceusParkia biglobosa在科特迪瓦。2019 年和 2020 年,在不同年龄个体结构中的三类轴上对这三个物种的节间和叶子进行了采样,以最大限度地提高其大小的可变性。用于估计器官干鲜生物量和叶面积的线性模型的所有统计关系对所有三个物种都显着(P= 0.001)。单个方程足以估计节间的干 (IDM) 和新鲜 (IFM) 生物量、叶片的干 (LDM) 和新鲜 (LFM) 生物量以及根据节间尺寸的叶面积 (LA) (体积:VL)和叶子(初级小叶数量:NLt,长度:LLtL 和宽度:最大初级小叶的 LLtW,次级小叶数量:NSeLt,长度:LSeLtL 和宽度:最大次级小叶的 LSeLtW)。估计值和器官尺寸之间的关系由以下线性方程定义:IDM = 0.45 × VL + 0.02,LDM = 0.004 × NLt × LtL × LtW + 0.07 和 LA = 0.83 × NLt × LtL × LtW 对于卡亚塞内加尔;IDM = 0.33 × VL + 0.38,LDM = 0.4 × NLt × LtL × LtW − 0.64 和 LA = 0.74 × NLt × LtL × LtW + 0.15紫檀那么 IDM = 0.47 × VL + 0.44,LDM = 0.44 × NSeLt × LSeLtL × LSeLtW × NLt + 0.94 和 LA = 0.13 × NSeLt × LSeLtL × LSeLtW × NLt + 14.64 对于Parkia biglobosa。该方法可用于估计农林业系统中与目标物种相同科的物种的器官生物量和 LA。

更新日期:2021-06-14
down
wechat
bug