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厄瓜多尔香蕉作物(Musa spp.)的生物量产量和碳减排潜力。

Biomass yield and carbon abatement potential of banana crops (Musa spp.) in Ecuador.

机构信息

Reactors Engineering, Catalysis and Environmental Technologies Group, University of Cuenca, Av. 12 de abril y Agustín Cueva, Cuenca, Ecuador.

Department of Applied Chemistry and Systems of Production, University of Cuenca, Av. 12 de abril y Agustín Cueva, Cuenca, Ecuador.

出版信息

Environ Sci Pollut Res Int. 2021 Apr;28(15):18741-18753. doi: 10.1007/s11356-020-09755-4. Epub 2020 Jun 24.

DOI:10.1007/s11356-020-09755-4
PMID:32583103
Abstract

Banana is one of the most important agricultural products of Ecuador. It relies on intensive monoculture cropping systems with a large volume of standing biomass and large amounts of residual biomass that can be used for carbon sequestration. This study was performed (1) to quantify the yearly residual biomass generation, (2) to quantify the carbon stock of standing banana biomass, (3) to estimate the carbon sequestration potential by using the residual biomass generated yearly, and (4) to propose a biomass prediction model for banana crops in Ecuador. The study was conducted between March 2018 and January 2019 in the three main banana-producing provinces of Ecuador (Los Ríos, Guayas, and El Oro). Samples of rachis, pseudostem, leaves, and flowers from 36 banana plants of the variety Musa AAA Cavendish were taken for laboratory tests. Physical measurements such as height, circumferences, number of leaves, and weights were determined for the 36 plants. Results showed an average residue-to-product ratio of 3.79 and a country's yearly biomass generation of 2.65 Mt on a dry basis. The carbon stock of the standing biomass was estimated as 4.18 ± 1.02 Mg/ha, 5.44 ± 0.96 Mg/ha, and 5.13 ± 1.11 Mg/ha for Los Ríos, Guayas, and El Oro, respectively. The estimated carbon abatement capacity of the residual biomass is 3.92 MtCO/year. Three biomass estimation models were developed in Python®, using the data collected in this study and least squares fitting for exponential models of the form: Y = AX + C. The models showed good prediction capacity for Ecuadorian banana plants, with R up to 0.85. It is expected that this study could serve as the basis for studies on developing sustainable conversion processes of banana residual biomass.

摘要

香蕉是厄瓜多尔最重要的农产品之一。它依赖于集约化的单一栽培种植系统,具有大量的立生物质和大量的残余生物质,可用于碳封存。本研究旨在:(1)量化每年的残余生物质生成量;(2)量化立生物质香蕉的碳储量;(3)估算利用每年生成的残余生物质的碳封存潜力;(4)为厄瓜多尔的香蕉作物提出一个生物质预测模型。该研究于 2018 年 3 月至 2019 年 1 月在厄瓜多尔三个主要的香蕉生产省份(洛斯里奥斯、瓜亚斯和埃洛伊·奥罗)进行。从 36 株 Musa AAA Cavendish 香蕉植物中采集了叶轴、假茎、叶片和花朵的样本进行实验室测试。对 36 株植物进行了高度、周长、叶片数和重量等物理测量。结果表明,残余物与产品的比例平均为 3.79,厄瓜多尔每年的生物质生成量为 2.65 Mt(干重)。立生物质的碳储量估计分别为洛斯里奥斯、瓜亚斯和埃洛伊·奥罗的 4.18 ± 1.02 Mg/ha、5.44 ± 0.96 Mg/ha 和 5.13 ± 1.11 Mg/ha。残余生物质的碳减排量估计为 3.92 MtCO/年。在 Python®中开发了三个生物质估计模型,使用本研究中收集的数据和最小二乘法拟合指数模型的形式:Y = AX + C。这些模型对厄瓜多尔香蕉植物的预测能力较好,R 高达 0.85。预计本研究可以为开发香蕉残余生物质的可持续转化过程的研究提供依据。

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