Nature food最新文献

{"title":"Cost-effective adaptations increase rice production while reducing pollution under climate change","authors":"Yujing Gao, Jinglan Cui, Xiuming Zhang, Gerrit Hoogenboom, Daniel Wallach, Yuqi Huang, Stefan Reis, Tao Lin, Baojing Gu","doi":"10.1038/s43016-024-01113-8","DOIUrl":"10.1038/s43016-024-01113-8","url":null,"abstract":"Rice is a major source of greenhouse gas (GHG) and nitrogen pollution. While best management practices have been developed to enhance the sustainability of rice production under current climates, their adaptability and efficacy under future climate scenarios remain uncertain. Here we evaluated 49 best management practices across global grid cells of rice-producing areas in terms of increasing rice production, reducing GHG emissions and minimizing nitrogen pollution under future climate conditions. Optimal climate adaptation measures were assigned to each grid cell. We show that implementing the proposed adaptation strategy could increase global rice production by 36% while reducing GHG emissions and nitrogen losses by 23% and 32%, respectively. This approach could lead to a global benefit of US$117 billion for food supply, resource saving, climate mitigation and environmental protection, with total implementation costs of US$13 billion. Establishing practical and cost-effective adaptation strategies is critical for the sustainable development of the global agricultural system in the face of climate challenges. Rice is a major source of greenhouse gas emissions and nitrogen pollution. This study evaluated 49 best management practices globally, identifying grid-specific adaptation measures. It highlights the need for region-specific strategies and advanced modelling to sustain food security, mitigate climate change and protect environmental health.","PeriodicalId":94151,"journal":{"name":"Nature food","volume":"6 3","pages":"260-272"},"PeriodicalIF":23.6,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142992399","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}

{"title":"China’s sustainable food system requires concerted efforts","authors":"","doi":"10.1038/s43016-025-01115-0","DOIUrl":"10.1038/s43016-025-01115-0","url":null,"abstract":"Using an integrated assessment modelling framework, this study finds that under current trends, most social and environmental targets related to the Chinese food system are not aligned with the UN 2030 Agenda. Bundling policies addressing public health, environmental sustainability and livelihood improvement can minimize trade-offs, revealing the importance of coordinated strategies for achieving a sustainable food system.","PeriodicalId":94151,"journal":{"name":"Nature food","volume":"6 1","pages":"17-18"},"PeriodicalIF":23.6,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142992400","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}

{"title":"Bundled measures for China’s food system transformation reveal social and environmental co-benefits","authors":"Xiaoxi Wang, Hao Cai, Jiaqi Xuan, Ruiying Du, Bin Lin, Benjamin Leon Bodirsky, Miodrag Stevanović, Quitterie Collignon, Changzheng Yuan, Lu Yu, Michael Crawford, Felicitas Beier, Meng Xu, Hui Chen, Marco Springmann, Debbora Leip, David Meng-Chuen Chen, Florian Humpenöder, Patrick von Jeetze, Shenggen Fan, Bjoern Soergel, Jan Philipp Dietrich, Christoph Müller, Alexander Popp, Hermann Lotze-Campen","doi":"10.1038/s43016-024-01100-z","DOIUrl":"10.1038/s43016-024-01100-z","url":null,"abstract":"Food systems are essential for the achievement of the United Nations Sustainable Development Goals in China. Here, using an integrated assessment modelling framework that considers country-specific pathways and covers 18 indicators, we find that most social and environmental targets for the Chinese food system under current trends are not aligned with the United Nations Agenda 2030. We further quantify the impacts of multiple measures, revealing potential trade-offs in pursuing strategies aimed at public health, environmental sustainability and livelihood improvement in isolation. Among the individual packages of measures, a shift towards healthy diets exhibits the lowest level of trade-offs, leading to improvements in nutrition, health, environment and livelihoods. In contrast, focusing efforts on climate change mitigation and ecological conservation, or promoting faster socioeconomic development alone, have trade-offs between social and environmental outcomes. These trade-offs could be minimized by bundling all three aspects of measures. The effectiveness of the different policies and policy bundles for food systems transformation to achieve SDGs in China vary widely. Using an integrated modelling framework covering 18 indicators, this study compares the trade-offs and outcomes of efforts focused on dietary transitions, climate change mitigation and ecological conservation, and faster socioeconomic development, ultimately revealing that dietary shifts offer the most benefits.","PeriodicalId":94151,"journal":{"name":"Nature food","volume":"6 1","pages":"72-84"},"PeriodicalIF":23.6,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142991090","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}

{"title":"Governance and resilience as entry points for transforming food systems in the countdown to 2030","authors":"Kate R. Schneider, Roseline Remans, Tesfaye Hailu Bekele, Destan Aytekin, Piero Conforti, Shouro Dasgupta, Fabrice DeClerck, Deviana Dewi, Carola Fabi, Jessica A. Gephart, Yuta J. Masuda, Rebecca McLaren, Michaela Saisana, Nancy Aburto, Ramya Ambikapathi, Mariana Arellano Rodriguez, Simon Barquera, Jane Battersby, Ty Beal, Christophe Béné, Carlo Cafiero, Christine Campeau, Patrick Caron, Andrea Cattaneo, Jeroen Candel, Namukolo Covic, Inmaculada del Pino Alvarez, Ana Paula Dominguez Barreto, Ismahane Elouafi, Tyler J. Frazier, Alexander Fremier, Pat Foley, Christopher D. Golden, Carlos Gonzalez Fischer, Alejandro Guarin, Sheryl Hendriks, Anna Herforth, Maddalena Honorati, Jikun Huang, Yonas Getaneh, Gina Kennedy, Amos Laar, Rattan Lal, Preetmoninder Lidder, Getachew Legese Feye, Brent Loken, Hazel Malapit, Quinn Marshall, Kalkidan A. Mulatu, Ana Munguia, Stella Nordhagen, Danielle Resnick, Diana Suhardiman, U. Rashid Sumaila, Bangyao Sun, Belay Terefe Mengesha, Maximo Torero Cullen, Francesco N. Tubiello, Corné van Dooren, Isabel Valero Morales, Jose-Luis Vivero-Pol, Patrick Webb, Keith Wiebe, Lawrence Haddad, Mario Herrero, Jose Rosero Moncayo, Jessica Fanzo","doi":"10.1038/s43016-024-01109-4","DOIUrl":"10.1038/s43016-024-01109-4","url":null,"abstract":"Due to complex interactions, changes in any one area of food systems are likely to impact—and possibly depend on—changes in other areas. Here we present the first annual monitoring update of the indicator framework proposed by the Food Systems Countdown Initiative, with new qualitative analysis elucidating interactions across indicators. Since 2000, we find that 20 of 42 indicators with time series have been trending in a desirable direction, indicating modest positive change. Qualitative expert elicitation assessed governance and resilience indicators to be most connected to other indicators across themes, highlighting entry points for action—particularly governance action. Literature review and country case studies add context to the assessed interactions across diets, environment, livelihoods, governance and resilience indicators, helping different actors understand and navigate food systems towards desirable change. This study presents the first annual update of the indicator framework developed by the Food Systems Countdown Initiative, published in Nature Food in 2023. Almost half of all indicators show some desirable trends. Governance and resilience indicators were revealed as the most connected across themes, constituting entry points for transformative change.","PeriodicalId":94151,"journal":{"name":"Nature food","volume":"6 1","pages":"105-116"},"PeriodicalIF":23.6,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s43016-024-01109-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142974595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dung predicts the global distribution of herbivore grazing pressure in drylands","authors":"David J. Eldridge, Tadeo Sáez-Sandino, Fernando T. Maestre, Jingyi Ding, Emilio Guirado, Manuel Delgado-Baquerizo","doi":"10.1038/s43016-024-01112-9","DOIUrl":"10.1038/s43016-024-01112-9","url":null,"abstract":"Dryland grazing sustains millions of people worldwide but, when poorly managed, threatens food security. Here we combine livestock and wild herbivore dung mass data from surveys at 760 dryland sites worldwide, representing independent measurements of herbivory, to generate high-resolution maps. We show that livestock and wild herbivore grazing is globally disconnected, and identify hotspots of herbivore activity across Africa, the Eurasian grasslands, India, Australia and the United States. Wild herbivore dung mass was negatively correlated with total organic nitrogen, yet strong site-level correlations exist between our livestock dung estimates and total soil organic nitrogen. Using dung mass as a proxy of herbivore abundance enables standardized, field-based measures of grazing pressure that account for different herbivore types. This can improve herbivore density modelling and guide better management practices for populations that rely on dryland-grazing livestock for food. Global maps of dryland livestock and wild herbivore dung mass show that dung can be used as a proxy for herbivory to improve herbivore density modelling and guide dryland management strategies.","PeriodicalId":94151,"journal":{"name":"Nature food","volume":"6 3","pages":"253-259"},"PeriodicalIF":23.6,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142968289","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}

{"title":"Predictive equation helps estimate misreporting of energy intakes in dietary surveys","authors":"R. James Stubbs, Mark Hopkins","doi":"10.1038/s43016-024-01090-y","DOIUrl":"10.1038/s43016-024-01090-y","url":null,"abstract":"Misreporting of dietary intake under free-living conditions in nutritional epidemiological studies can’t be easily captured. A predictive equation for total daily energy expenditure derived from the largest doubly labelled water dataset to date can help improve evaluation of the accuracy of self-reported dietary intake.","PeriodicalId":94151,"journal":{"name":"Nature food","volume":"6 1","pages":"8-9"},"PeriodicalIF":23.6,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142968284","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}

{"title":"Prevalence of processed foods in major US grocery stores","authors":"Babak Ravandi, Gordana Ispirova, Michael Sebek, Peter Mehler, Albert-László Barabási, Giulia Menichetti","doi":"10.1038/s43016-024-01095-7","DOIUrl":"10.1038/s43016-024-01095-7","url":null,"abstract":"The offering of grocery stores is a strong driver of consumer decisions. While highly processed foods such as packaged products, processed meat and sweetened soft drinks have been increasingly associated with unhealthy diets, information on the degree of processing characterizing an item in a store is not straightforward to obtain, limiting the ability of individuals to make informed choices. GroceryDB, a database with over 50,000 food items sold by Walmart, Target and Whole Foods, shows the degree of processing of food items and potential alternatives in the surrounding food environment. The extensive data gathered on ingredient lists and nutrition facts enables a large-scale analysis of ingredient patterns and degrees of processing, categorized by store, food category and price range. Furthermore, it allows the quantification of the individual contribution of over 1,000 ingredients to ultra-processing. GroceryDB makes this information accessible, guiding consumers toward less processed food choices. Information on the degree of processing of food items is key for better consumer choices. GroceryDB is a dataset with more than 50,000 food items sold at major grocery stores in the United States that uses big data to provide information on processing—categorized by store, food category and price range.","PeriodicalId":94151,"journal":{"name":"Nature food","volume":"6 3","pages":"296-308"},"PeriodicalIF":23.6,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142968290","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}

{"title":"Predictive equation derived from 6,497 doubly labelled water measurements enables the detection of erroneous self-reported energy intake","authors":"Rania Bajunaid, Chaoqun Niu, Catherine Hambly, Zongfang Liu, Yosuke Yamada, Heliodoro Aleman-Mateo, Liam J. Anderson, Lenore Arab, Issad Baddou, Linda Bandini, Kweku Bedu-Addo, Ellen E. Blaak, Carlijn V. C. Bouten, Soren Brage, Maciej S. Buchowski, Nancy F. Butte, Stefan G. J. A. Camps, Regina Casper, Graeme L. Close, Jamie A. Cooper, Richard Cooper, Sai Krupa Das, Peter S. W. Davies, Prasangi Dabare, Lara R. Dugas, Simon Eaton, Ulf Ekelund, Sonja Entringer, Terrence Forrester, Barry W. Fudge, Melanie Gillingham, Annelies H. Goris, Michael Gurven, Asmaa El Hamdouchi, Hinke H. Haisma, Daniel Hoffman, Marije B. Hoos, Sumei Hu, Noorjehan Joonas, Annemiek M. Joosen, Peter Katzmarzyk, Misaka Kimura, William E. Kraus, Wantanee Kriengsinyos, Rebecca Kuriyan, Robert F. Kushner, Estelle V. Lambert, Pulani Lanerolle, Christel L. Larsson, William R. Leonard, Nader Lessan, Marie Löf, Corby K. Martin, Eric Matsiko, Anine C. Medin, James C. Morehen, James P. Morton, Aviva Must, Marian L. Neuhouser, Theresa A. Nicklas, Christine D. Nyström, Robert M. Ojiambo, Kirsi H. Pietiläinen, Yannis P. Pitsiladis, Jacob Plange-Rhule, Guy Plasqui, Ross L. Prentice, Susan B. Racette, David A. Raichlen, Eric Ravussin, Leanne M. Redman, John J. Reilly, Rebecca Reynolds, Susan B. Roberts, Dulani Samaranayakem, Luis B. Sardinha, Analiza M. Silva, Anders M. Sjödin, Marina Stamatiou, Eric Stice, Samuel S. Urlacher, Ludo M. Van Etten, Edgar G. A. H. van Mil, George Wilson, Jack A. Yanovski, Tsukasa Yoshida, Xueying Zhang, Alexia J. Murphy-Alford, Srishti Sinha, Cornelia U. Loechl, Amy H. Luke, Herman Pontzer, Jennifer Rood, Hiroyuki Sagayama, Dale A. Schoeller, Klaas R. Westerterp, William W. Wong, John R. Speakman","doi":"10.1038/s43016-024-01089-5","DOIUrl":"10.1038/s43016-024-01089-5","url":null,"abstract":"Nutritional epidemiology aims to link dietary exposures to chronic disease, but the instruments for evaluating dietary intake are inaccurate. One way to identify unreliable data and the sources of errors is to compare estimated intakes with the total energy expenditure (TEE). In this study, we used the International Atomic Energy Agency Doubly Labeled Water Database to derive a predictive equation for TEE using 6,497 measures of TEE in individuals aged 4 to 96 years. The resultant regression equation predicts expected TEE from easily acquired variables, such as body weight, age and sex, with 95% predictive limits that can be used to screen for misreporting by participants in dietary studies. We applied the equation to two large datasets (National Diet and Nutrition Survey and National Health and Nutrition Examination Survey) and found that the level of misreporting was >50%. The macronutrient composition from dietary reports in these studies was systematically biased as the level of misreporting increased, leading to potentially spurious associations between diet components and body mass index. This study presents a predictive equation for total energy expenditure derived from doubly labelled water measurements. Applying this equation to two large datasets (the National Diet and Nutrition Survey and National Health and Nutrition Examination Survey) shows that the misreporting of total energy intake is greater than 50%, with important implications for macronutrient availability.","PeriodicalId":94151,"journal":{"name":"Nature food","volume":"6 1","pages":"58-71"},"PeriodicalIF":23.6,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s43016-024-01089-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142968288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Regulatory responses to ultra-processed foods are skewed towards behaviour change and not food system transformation","authors":"Tanita Northcott, Mark Lawrence, Christine Parker, Belinda Reeve, Phillip Baker","doi":"10.1038/s43016-024-01101-y","DOIUrl":"10.1038/s43016-024-01101-y","url":null,"abstract":"Growing evidence suggests that diets high in ultra-processed foods (UPFs) are harming human and planetary health. UPFs therefore pose a complex regulatory challenge, yet, to date, little research has systematically assessed how governments have responded to UPFs in national food policies. Here we analyse data from the NOURISHING database to assess the scope and strength of UPF-related regulatory interventions worldwide, using three frameworks—namely, NOURISHING, the Nuffield Ladder and the Modalities of Control framework. Of the 417 UPF-related measures identified, most imply food processing or mention UPF examples rather than refer to processing or UPFs specifically. The scope of action is narrow; 85.9% of interventions change the food environment, largely represented by nutrition labelling. The strength of action is limited; interventions are skewed towards informational measures to influence consumer choice, and 47.1% of measures use consensus to shape food business conduct. These findings highlight an opportunity to broaden the scope and strength of UPF-related regulation. Policies on ultra-processed foods (UPFs) can help drive food system transformation, but the extent to which the current policy and regulatory landscape contributes to this transformation remains unclear. Based on three different food policy, public health and regulatory frameworks, this study identifies UPF-related regulatory interventions implemented by national governments worldwide and analyses their scope and strength.","PeriodicalId":94151,"journal":{"name":"Nature food","volume":"6 3","pages":"273-282"},"PeriodicalIF":23.6,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142961530","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}

{"title":"Food waste policy in the United States","authors":"Hilke Bos-Brouwers","doi":"10.1038/s43016-024-01104-9","DOIUrl":"10.1038/s43016-024-01104-9","url":null,"abstract":"An analysis of state-level food waste policy data shows that a shift away from food waste recycling towards prevention, rescue and repurposing is needed to support targets to halve food waste in the United States by 2030.","PeriodicalId":94151,"journal":{"name":"Nature food","volume":"6 2","pages":"132-133"},"PeriodicalIF":23.6,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142937598","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}