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Diets, health and the environment 饮食、健康与环境。
IF 23.6 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2024-09-23 DOI: 10.1038/s43016-024-01055-1
Malnutrition and climate change are intimately linked. Nature Food’s latest Collection illustrates the central role of diets in both of these issues, underscoring the burden of current diets on human and planetary health, as well as how much improvement can be achieved through better dietary choices.
营养不良与气候变化密切相关。自然-食品》的最新作品集说明了饮食在这两个问题中的核心作用,强调了当前饮食对人类和地球健康造成的负担,以及通过更好的饮食选择可以实现多大的改善。
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引用次数: 0
Enhanced agricultural carbon sinks provide benefits for farmers and the climate 增强农业碳汇可为农民和气候带来益处。
IF 23.6 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2024-09-23 DOI: 10.1038/s43016-024-01039-1
Stefan Frank, Andrey Lessa Derci Augustynczik, Petr Havlík, Esther Boere, Tatiana Ermolieva, Oliver Fricko, Fulvio Di Fulvio, Mykola Gusti, Tamas Krisztin, Pekka Lauri, Amanda Palazzo, Michael Wögerer
Carbon sequestration on agricultural land, albeit long-time neglected, offers substantial mitigation potential. Here we project, using an economic land-use model, that these options offer cumulative mitigation potentials comparable to afforestation by 2050 at 160 USD2022 tCO2 equivalent (tCO2e−1), with most of it located in the Global South. Carbon sequestration on agricultural land could provide producers around the world with additional revenues of up to 375 billion USD2022 at 160 USD2022 tCO2e−1 and allow achievement of net-zero emissions in the agriculture, forestry and other land-use sectors by 2050 already at economic costs of around 80–120 USD2022 tCO2e−1. This would, in turn, decrease economy-wide mitigation costs and increase gross domestic product (+0.6%) by the mid-century in 1.5 °C no-overshoot climate stabilization scenarios compared with mitigation scenarios that do not consider these options. Unlocking these potentials requires the deployment of highly efficient institutions and monitoring systems over the next 5 years across the whole world, including sub-Saharan Africa, where the largest mitigation potential exists. Carbon sequestration on agricultural land holds great promise for combating climate change. This study estimates the mitigation potential of three sequestration practices—soil carbon enhancement, biochar application on cropland and silvo-pastoral systems—while identifying cost-effective mitigation portfolios.
农田固碳虽然长期被忽视,但却具有巨大的减排潜力。在此,我们利用土地利用经济模型预测,到 2050 年,这些方案可提供的累积减排潜力相当于造林 160 美元 2022 吨二氧化碳当量(tCO2e-1),其中大部分位于全球南部。按 160 美元 2022 吨 CO2e-1 计算,农田固碳可为全球生产者带来高达 3,750 亿美元 2022 吨 CO2e-1 的额外收入,并使农业、林业和其他土地利用部门到 2050 年实现净零排放,其经济成本约为 80-120 美元 2022 吨 CO2e-1 。这反过来又会降低整个经济的减缓成本,与不考虑这些方案的减缓情景相比,到本世纪中期,在 1.5 °C 无超观测气候稳定情景下,国内生产总值将增加(+0.6%)。要释放这些潜力,就需要在未来五年内在全世界,包括减排潜力最大的撒哈拉以南非洲地区,部署高效的机构和监测系统。
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引用次数: 0
Improved modelling of carbon sequestration potential on agricultural land 改进农田固碳潜力建模。
IF 23.6 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2024-09-23 DOI: 10.1038/s43016-024-01056-0
An integrated assessment study reveals that carbon sequestration options on agricultural land offer substantial mitigation potential. Tapping this potential could enable net-zero land-use emissions to be achieved by mid-century at lower greenhouse gas prices, increase revenues for farmers and decrease economy-wide costs of climate action, compared with a scenario that does not consider these options.
一项综合评估研究显示,农用土地碳固存方案具有巨大的减排潜力。与不考虑这些方案的情景相比,挖掘这一潜力可以在较低的温室气体价格条件下,在本世纪中叶实现土地利用的净零排放,增加农民收入,降低整个经济的气候行动成本。
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引用次数: 0
Regenerative aquatic foods can be a win–win for human and planetary health 再生水产食品可实现人类和地球健康的双赢
IF 23.6 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2024-09-18 DOI: 10.1038/s43016-024-01043-5
Chris Vogliano, Gina Kennedy, Shakuntala Thilsted, Mduduzi N. N. Mbuya, Willow Battista, Claudia Sadoff, Gracie White, Jang Kyun Kim, Johannes Pucher, Kagwiria Koome, Gabriella D’Cruz, Kate Geagan, Kevin Chang, U. Rashid Sumaila, Sharon Palmer, Heidi Alleway
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引用次数: 0
Global school plate waste estimates highlight the need for building a sustainable food education system 全球学校餐盘浪费估计数凸显建立可持续食品教育系统的必要性
IF 23.6 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2024-09-18 DOI: 10.1038/s43016-024-01046-2
Lei Feng, Ruiqi Luo, Xiaojie Liu, Melissa Pflugh Prescott, Weili Li, Jie Song, Yi Yang
Food waste reduction is essential for supporting the sustainability of food systems. Wasteful behaviours are difficult to change after they have been formed, highlighting the importance of early interventions. Here we present an assessment of school plate food waste from 29 countries, and examine the environmental implications, causes, and interventions. School plate waste ranged from 4% to 46% per capita per meal and was positively correlated with country income levels. On a global scale, this waste embodies ∼150 Mha of cropland and ∼770 MtCO2e of greenhouse gas emissions; hence, reducing school plate food waste offers potentially large environmental gains. We propose a comprehensive, multistakeholder framework centred around sustainable food education that cultivates food systems knowledge and skills, and an appreciation for nature and food labour to reduce the psychological distance between youth and their food waste. To effectively implement the framework requires the support and engagement of families, communities and the broader society beyond the confines of schools. A dataset including 29 countries and life-cycle assessment highlights the environmental impact of school plate food waste. A sustainable food education framework is presented to support early intervention and wasteful behavioural changes.
减少食物浪费对于支持粮食系统的可持续性至关重要。浪费行为在形成后很难改变,这就凸显了早期干预的重要性。在此,我们对 29 个国家的学校餐盘食物浪费情况进行了评估,并研究了其对环境的影响、原因和干预措施。学校餐盘食物的人均浪费率从每餐 4% 到 46% 不等,并且与各国的收入水平呈正相关。在全球范围内,这种浪费造成了 1.5 亿公顷的耕地和 7.7 亿吨 CO2e 的温室气体排放;因此,减少学校餐盘食物浪费有可能带来巨大的环境收益。我们提出了一个以可持续食品教育为中心的多方利益相关者综合框架,培养食品系统知识和技能,以及对自然和食品劳动的欣赏,从而缩短青少年与食物浪费之间的心理距离。要有效实施该框架,需要学校以外的家庭、社区和广大社会的支持和参与。
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引用次数: 0
Intra-growing season dry–wet spell pattern is a pivotal driver of maize yield variability in sub-Saharan Africa 生长季节内的干湿咒模式是撒哈拉以南非洲玉米产量变化的关键驱动因素
IF 23.6 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2024-09-16 DOI: 10.1038/s43016-024-01040-8
Patricia Marcos-Garcia, Cesar Carmona-Moreno, Marco Pastori
Climate variability plays a crucial role in the annual fluctuations of crop yields, posing a substantial threat to food security. Maize, the main cereal in sub-Saharan Africa, has shown varied yield trends during increasingly warmer growing seasons. Here we explore how sub-seasonal dry–wet spell patterns contribute to this variability, considering the spatial heterogeneity of crop responses, to map weather-related risks at a regional level. Our results show that shifts in specific dry–wet spell patterns across growth stages influence maize yield fluctuations in sub-Saharan Africa, explaining up to 50–60% of the interannual variation, which doubles that explained by mean changes in precipitation and temperature (30–35%). Precipitation primarily drives the onset of dry spells, while the influence of temperature increases with event intensity and peaks at the start of the growing season. Our large-scale, data-limited analysis approach has the potential to inform climate-smart agriculture in developing regions. Maize yield variability in sub-Saharan Africa has important implications for food security and livelihoods. By combining the time specificity of weather-related impacts on crops and different agroclimatic zones, this study shows that shifts in sub-seasonal dry–wet spell patterns are a major contributor to this variability.
气候多变性在作物产量的年度波动中起着至关重要的作用,对粮食安全构成了巨大威胁。玉米是撒哈拉以南非洲地区的主要谷物,在日益变暖的生长季节中呈现出不同的产量趋势。考虑到作物反应的空间异质性,我们在此探讨了亚季干湿咒模式是如何导致这种变化的,从而绘制出区域层面与天气相关的风险图。我们的研究结果表明,不同生长阶段特定干湿咒模式的变化会影响撒哈拉以南非洲的玉米产量波动,可解释高达 50-60% 的年际变化,是降水和温度平均变化(30-35%)的两倍。降水主要驱动干旱期的到来,而温度的影响则随着事件强度的增加而增加,并在生长季节开始时达到顶峰。我们这种大规模、数据有限的分析方法有望为发展中地区的气候智能型农业提供信息。
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引用次数: 0
Bias in fishery stock assessment models 渔业资源评估模型的偏差
IF 23.6 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2024-09-12 DOI: 10.1038/s43016-024-01052-4
Annisa Chand
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引用次数: 0
Author Correction: Consensus on commitment and action to monitor healthy diets 作者更正:就监测健康饮食的承诺和行动达成共识。
IF 23.6 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2024-09-12 DOI: 10.1038/s43016-024-01058-y
Lynnette M. Neufeld, Edward A. Frongillo, Jennifer C. Coates, Victor M. Aguayo, Francesco Branca
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引用次数: 0
Identification and knockout of a herbivore susceptibility gene enhances planthopper resistance and increases rice yield 鉴定并敲除食草动物易感基因,增强稻飞虱抗性并提高水稻产量
IF 23.6 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2024-09-09 DOI: 10.1038/s43016-024-01044-4
Peng Kuai, Na Lin, Miaofen Ye, Meng Ye, Lin Chen, Shuting Chen, Hongyue Zu, Lingfei Hu, Angharad M. R. Gatehouse, Yonggen Lou
Brown planthoppers (Nilaparvata lugens) and white-backed planthoppers (Sogatella furcifera) are among the most destructive pests on rice. However, plant susceptibility genes have not yet been exploited for crop protection. Here we identified a leucine-rich repeat protein, OsLRR2, from susceptible rice varieties that facilitates infestation by brown planthopper N. lugens. Field trials showed that knockout of OsLRR2 significantly reduced BPH infestation and enhanced natural biological control by attracting natural enemies. Yield of a susceptible variety was increased by 18% in insecticide-treated plots that eliminated planthoppers and by 25% in untreated plots. These findings underscore the pivotal role of OsLRR2, offering a promising pathway for pest population suppression and rice yield increase. Planthoppers are among the most destructive pests on rice. This study identified that a leucine-rich repeat protein OsLRR2 negatively regulates defence responses. Knockout of the encoding gene OsLRR2 enhances rice herbivore resistance and yield, which holds the potential to produce high-yielding rice varieties that are resistant to devastating pest insects.
褐跳甲(Nilaparvata lugens)和白背跳甲(Sogatella furcifera)是水稻上最具破坏性的害虫之一。然而,植物易感基因尚未被用于作物保护。在这里,我们从易感水稻品种中发现了一种富亮氨酸重复蛋白 OsLRR2,它能促进褐跳甲 N. lugens 的侵染。田间试验表明,敲除 OsLRR2 能显著减少褐飞虱的侵扰,并通过吸引天敌加强自然生物防治。在经过杀虫剂处理并消灭了褐飞虱的地块上,易感品种的产量提高了 18%,而在未经处理的地块上,易感品种的产量提高了 25%。这些发现强调了 OsLRR2 的关键作用,为抑制害虫数量和提高水稻产量提供了一条很有前景的途径。
{"title":"Identification and knockout of a herbivore susceptibility gene enhances planthopper resistance and increases rice yield","authors":"Peng Kuai, Na Lin, Miaofen Ye, Meng Ye, Lin Chen, Shuting Chen, Hongyue Zu, Lingfei Hu, Angharad M. R. Gatehouse, Yonggen Lou","doi":"10.1038/s43016-024-01044-4","DOIUrl":"10.1038/s43016-024-01044-4","url":null,"abstract":"Brown planthoppers (Nilaparvata lugens) and white-backed planthoppers (Sogatella furcifera) are among the most destructive pests on rice. However, plant susceptibility genes have not yet been exploited for crop protection. Here we identified a leucine-rich repeat protein, OsLRR2, from susceptible rice varieties that facilitates infestation by brown planthopper N. lugens. Field trials showed that knockout of OsLRR2 significantly reduced BPH infestation and enhanced natural biological control by attracting natural enemies. Yield of a susceptible variety was increased by 18% in insecticide-treated plots that eliminated planthoppers and by 25% in untreated plots. These findings underscore the pivotal role of OsLRR2, offering a promising pathway for pest population suppression and rice yield increase. Planthoppers are among the most destructive pests on rice. This study identified that a leucine-rich repeat protein OsLRR2 negatively regulates defence responses. Knockout of the encoding gene OsLRR2 enhances rice herbivore resistance and yield, which holds the potential to produce high-yielding rice varieties that are resistant to devastating pest insects.","PeriodicalId":94151,"journal":{"name":"Nature food","volume":"5 10","pages":"846-859"},"PeriodicalIF":23.6,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142158837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Artificial intelligence can regulate light and climate systems to reduce energy use in plant factories and support sustainable food production 人工智能可以调节光照和气候系统,减少植物工厂的能源消耗,支持可持续食品生产
IF 23.6 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2024-09-09 DOI: 10.1038/s43016-024-01045-3
Benjamin Decardi-Nelson, Fengqi You
Plant factories with artificial lighting (PFALs) can boost food production per unit area but require resources such as carbon dioxide and energy to maintain optimal plant growth conditions. Here we use computational modelling and artificial intelligence (AI) to examine plant–environment interactions across ten diverse global locations with distinct climates. AI reduces energy use by optimizing lighting and climate regulation systems, with energy use in PFALs ranging from 6.42 kWh kg−1 in cooler climates to 7.26 kWh kg−1 in warmer climates, compared to 9.5–10.5 kWh kg−1 in PFALs using existing, non-AI-based technology. Outdoor temperatures between 0 °C and 25 °C favour ventilation-related energy use reduction, with outdoor humidity showing no clear pattern or effect on energy use. Ventilation-related energy savings negatively impact other resource utilization such as carbon dioxide use. AI can substantially enhance energy savings in PFALs and support sustainable food production. Plant–environment interactions are examined using artificial intelligence and computational modelling, allowing energy use to be optimized in plant factories with artificial lighting.
人工照明植物工厂(PFALs)可以提高单位面积的粮食产量,但需要二氧化碳和能源等资源来维持植物的最佳生长条件。在这里,我们利用计算建模和人工智能(AI)研究了全球十个气候各异地区的植物与环境之间的相互作用。人工智能通过优化照明和气候调节系统减少了能源消耗,在气候较冷的地区,PFAL 的能耗为 6.42 千瓦时/千克-1,在气候较热的地区为 7.26 千瓦时/千克-1,而在使用现有非人工智能技术的 PFAL 中,能耗为 9.5-10.5 千瓦时/千克-1。室外温度在 0 °C 至 25 °C 之间有利于减少与通风相关的能源消耗,而室外湿度对能源消耗没有明显的模式或影响。与通风相关的能源节约会对其他资源的利用产生负面影响,如二氧化碳的使用。人工智能可以大大提高 PFALs 的节能效果,支持可持续粮食生产。
{"title":"Artificial intelligence can regulate light and climate systems to reduce energy use in plant factories and support sustainable food production","authors":"Benjamin Decardi-Nelson, Fengqi You","doi":"10.1038/s43016-024-01045-3","DOIUrl":"10.1038/s43016-024-01045-3","url":null,"abstract":"Plant factories with artificial lighting (PFALs) can boost food production per unit area but require resources such as carbon dioxide and energy to maintain optimal plant growth conditions. Here we use computational modelling and artificial intelligence (AI) to examine plant–environment interactions across ten diverse global locations with distinct climates. AI reduces energy use by optimizing lighting and climate regulation systems, with energy use in PFALs ranging from 6.42 kWh kg−1 in cooler climates to 7.26 kWh kg−1 in warmer climates, compared to 9.5–10.5 kWh kg−1 in PFALs using existing, non-AI-based technology. Outdoor temperatures between 0 °C and 25 °C favour ventilation-related energy use reduction, with outdoor humidity showing no clear pattern or effect on energy use. Ventilation-related energy savings negatively impact other resource utilization such as carbon dioxide use. AI can substantially enhance energy savings in PFALs and support sustainable food production. Plant–environment interactions are examined using artificial intelligence and computational modelling, allowing energy use to be optimized in plant factories with artificial lighting.","PeriodicalId":94151,"journal":{"name":"Nature food","volume":"5 10","pages":"869-881"},"PeriodicalIF":23.6,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142158838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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Nature food
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