How much energy can giant reed and Miscanthus produce in marginal lands across Italy? A modelling solution under current and future scenarios

IF 5.9 3区 工程技术 Q1 AGRONOMY Global Change Biology Bioenergy Pub Date : 2024-12-06 DOI:10.1111/gcbb.13186
Giovanni Alessandro Cappelli, Fabrizio Ginaldi, Davide Fanchini, Enrico Ceotto, Marcello Donatelli
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Abstract

Practical strategies for bioenergy planning in the face of climate change should rely on ready-to-use yield projections. Perennial grasses grown in marginal lands (MLs) provide abundant feedstocks to be converted into different energy vectors. The aim of this study was to provide a model-based assessment of how much energy, in the form of biomethane and bioethanol, can be achieved by Miscanthus and giant reed across Italy. Marginal lands were here conceived as low profitable non-irrigated areas, without mechanization and/or nature conservation constraints. Marginal lands eligible for simulations were selected crossing environmental factors and ecological requirements of the two crops. The biophysical model Arungro was calibrated considering rainfed/full-irrigated systems using multiple-site and multiple-year datasets. The model was connected to a georeferenced database, with information on (i) current/future climate, (ii) agronomic practices, (iii) soil physics/hydrology, (iv) MLs, and (v) crop suitability to environment and simulations were performed at 500 × 500 m spatial resolution across all Italian regions. Under baseline conditions (i.e., 1981–2010), the total area of MLs available for energy crops (i.e., 49,100 km2) allowed to obtain 23,500 (giant reed) and 23,700 (Miscanthus) Giga-m3 CH4-STP of biomethane and 18,600 (giant reed) and 24,400 (Miscanthus) Giga-liters of bioethanol. While the amount of energy carriers is expected to increase, on average, of +4.6% in 2055 and + 0.4% (mean of +9.2%—South, −2.4%—Center, −5.4%—North Italy) in 2085 for Miscanthus, giant reed-based productions are projected to be more stable across the country and time frames (+6.7% in 2055; +2.8% in 2085). This study contributed to define a modular and detailed procedure aimed at quantifying attainable energy yields from bioenergy grasses in MLs. The consideration of fine-resolution multiple-scale heterogeneity allowed for an in-depth investigation of biomass productivity, attainable energy yields, and related stability under current/climate change scenarios, highlighting critical spots and opportunities within the country.

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在意大利的边缘土地上,巨型芦苇和芒草能生产多少能源?当前和未来场景下的建模解决方案
面对气候变化,生物能源规划的实际战略应该依赖于现成的产量预测。生长在边缘地的多年生禾草提供了丰富的原料,可以转化为不同的能量载体。这项研究的目的是提供一个基于模型的评估,以生物甲烷和生物乙醇的形式,意大利各地的芒草和巨芦苇可以获得多少能源。边际土地在这里被认为是低利润的非灌溉区,没有机械化和/或自然保护的限制。通过杂交环境因子和两种作物的生态需求,选择符合模拟条件的边际用地。生物物理模型Arungro使用多站点和多年数据集,考虑雨养/全灌溉系统进行校准。该模型连接到一个地理参考数据库,其中包含(i)当前/未来气候、(ii)农艺实践、(iii)土壤物理/水文、(iv) MLs和(v)作物对环境的适应性等信息,并在意大利所有地区以500 × 500米的空间分辨率进行了模拟。在基线条件下(即1981-2010年),可用于能源作物的MLs总面积(即49,100平方公里)允许获得23,500(巨芦苇)和23,700(芒草)千兆立方米CH4-STP的生物甲烷和18,600(巨芦苇)和24,400(芒草)千兆升生物乙醇。虽然Miscanthus的能源载体数量预计将在2055年平均增加4.6%,到2085年平均增加0.4%(南部平均增加9.2%,中部平均增加2.4%,意大利北部平均增加5.4%),但预计在全国和时间框架内,以巨型芦苇为基础的产量将更加稳定(2055年增加6.7%;到2085年将增长2.8%)。该研究有助于定义一个模块化和详细的程序,旨在量化MLs中生物能源草的可获得能量产量。考虑到精细分辨率的多尺度异质性,可以深入调查当前/气候变化情景下的生物质生产力、可实现的能源产量和相关稳定性,突出该国的关键地点和机会。
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来源期刊
Global Change Biology Bioenergy
Global Change Biology Bioenergy AGRONOMY-ENERGY & FUELS
CiteScore
10.30
自引率
7.10%
发文量
96
审稿时长
1.5 months
期刊介绍: GCB Bioenergy is an international journal publishing original research papers, review articles and commentaries that promote understanding of the interface between biological and environmental sciences and the production of fuels directly from plants, algae and waste. The scope of the journal extends to areas outside of biology to policy forum, socioeconomic analyses, technoeconomic analyses and systems analysis. Papers do not need a global change component for consideration for publication, it is viewed as implicit that most bioenergy will be beneficial in avoiding at least a part of the fossil fuel energy that would otherwise be used. Key areas covered by the journal: Bioenergy feedstock and bio-oil production: energy crops and algae their management,, genomics, genetic improvements, planting, harvesting, storage, transportation, integrated logistics, production modeling, composition and its modification, pests, diseases and weeds of feedstocks. Manuscripts concerning alternative energy based on biological mimicry are also encouraged (e.g. artificial photosynthesis). Biological Residues/Co-products: from agricultural production, forestry and plantations (stover, sugar, bio-plastics, etc.), algae processing industries, and municipal sources (MSW). Bioenergy and the Environment: ecosystem services, carbon mitigation, land use change, life cycle assessment, energy and greenhouse gas balances, water use, water quality, assessment of sustainability, and biodiversity issues. Bioenergy Socioeconomics: examining the economic viability or social acceptability of crops, crops systems and their processing, including genetically modified organisms [GMOs], health impacts of bioenergy systems. Bioenergy Policy: legislative developments affecting biofuels and bioenergy. Bioenergy Systems Analysis: examining biological developments in a whole systems context.
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