Climate cooling benefits of cellulosic bioenergy crops from elevated albedo

IF 5.9 3区 工程技术 Q1 AGRONOMY Global Change Biology Bioenergy Pub Date : 2023-09-23 DOI:10.1111/gcbb.13098
Cheyenne Lei, Jiquan Chen, G. Philip Robertson
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Abstract

Changes in land surface albedo can alter ecosystem energy balance and potentially influence climate. We examined the albedo of six bioenergy cropping systems in southwest Michigan USA: monocultures of energy sorghum (Sorghum bicolor), switchgrass (Panicum virgatum L.), and giant miscanthus (Miscanthus × giganteus), and polycultures of native grasses, early successional vegetation, and restored prairie. Direct field measurements of surface albedo (αs) from May 2018 through December 2020 at half-hourly intervals in each system quantified the magnitudes and seasonal differences in albedo (∆α) and albedo-induced radiative forcing (RFα). We used a nearby forest as a historical native cover type to estimate reference albedo and RFα change upon original land use conversion, and a continuous no-till maize (Zea mays L.) system as a contemporary reference to estimate change upon conversion from annual row crops. Annually, αs differed significantly (p < 0.05) among crops in the order: early successional (0.288 ± 0.012SE) >> miscanthus (0.271 ± 0.009) ≈ energy sorghum (0.270 ± 0.010) ≥ switchgrass (0.265 ± 0.009) ≈ restored prairie (0.264 ± 0.012) > native grasses (0.259 ± 0.010) > maize (0.247 ± 0.010). Reference forest had the lowest annual αs (0.134 ± 0.003). Albedo differences among crops during the growing season were also statistically significant, with growing season αs in perennial crops and energy sorghum on average ~20% higher (0.206 ± 0.003) than in no-till maize (0.184 ± 0.002). Average non-growing season (NGS) αs (0.370 ± 0.020) was much higher than growing season αs (0.203 ± 0.003) but these NGS differences were not significant. Overall, the original conversion of reference forest and maize landscapes to perennials provided a cooling effect on the local climate (RFαMAIZE: −3.83 ± 1.00 W m−2; RFαFOREST: −16.75 ± 3.01 W m−2). Significant differences among cropping systems suggest an additional management intervention for maximizing the positive climate benefit of bioenergy crops, with cellulosic crops on average ~9.1% more reflective than no-till maize, which itself was about twice as reflective as the reference forest.

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提高反照率对纤维素生物能源作物的气候降温效益
地表反照率的变化会改变生态系统的能量平衡,并可能影响气候。我们研究了美国密歇根州西南部六种生物能源种植系统的反照率:能源高粱(双色高粱)、柳枝稷(Panicum virgatum L.)和巨型芒草(miscanthus×giganteus)的单一种植,以及本地草、早期演替植被和恢复草原的混合种植。从2018年5月到2020年12月,在每个系统中每隔半小时对表面反照率(αs)进行直接现场测量,量化了反照率的幅度和季节差异(∆α)以及反照率引起的辐射强迫(RF∆a)。我们使用附近的森林作为历史原生覆盖类型来估计原始土地利用转换后的参考反照率和RF∆α变化,并使用连续免耕玉米(Zea mays L.)系统作为当代参考来估计年行作物转换后的变化。每年,αs差异显著(p <; 0.05),顺序为:早期演替(0.288 ± 0.012SE)>>;芒属植物(0.271 ± 0.009) ≈ 能量高粱(0.270 ± 0.010) ≥ 柳枝(0.265 ± 0.009) ≈ 恢复草原(0.264 ± 0.012) >; 原生草(0.259 ± 0.010) >; 玉米(0.247 ± 0.010)。参考林的年αs最低(0.134 ± 0.003)。生长季节作物之间的反照率差异也具有统计学意义,多年生作物和能量高粱的生长季节αs平均高出约20%(0.206 ± 0.003)比免耕玉米(0.184 ± 0.002)。平均非生长季节(NGS)αs(0.370 ± 0.020)远高于生长季节的αs(0.203 ± 0.003),但这些NGS差异并不显著。总体而言,参考森林和玉米景观最初转化为多年生植物对当地气候产生了降温作用(RFα玉米:−3.83 ± 1 W m−2;RFα森林:−16.75 ± 3.01 W m−2)。种植系统之间的显著差异表明,为了最大限度地提高生物能源作物的积极气候效益,需要额外的管理干预措施,纤维素作物的反射率平均比免耕玉米高9.1%,而免耕玉米本身的反射率大约是参考林的两倍。
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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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