Food Security最新文献

{"title":"Science for Africa’s future food security: rethinking breeding to adapt to diversified cropping systems","authors":"Mathieu A. T. Ayenan,&nbsp;Roland Schafleitner,&nbsp;Lukas Pawera,&nbsp;Sylvanus Odjo","doi":"10.1007/s12571-025-01616-7","DOIUrl":"10.1007/s12571-025-01616-7","url":null,"abstract":"<div><p>Diversified production systems is a promising strategy to boost productivity, biodiversity, and resilience. Unlocking the potential of diversified cropping systems to improve crop productivity and resilience in Africa requires developing and deploying crop varieties tailored to diverse cropping systems. Achieving this goal hinges on a deep understanding of farmer preferences and their willingness to adopt varieties that boost both productivity and agroecosystem services. A better understanding of existing cropping systems can provide valuable insights for identifying functional traits essential for crop improvement. To effectively harness adaptive and functional traits, breeders, agronomists, physiologists, socio-economists, and farmers must collaborate to select cultivars with desirable characteristics and design optimized production strategies. However, breeding cultivars suited to such systems presents challenges, including the need to identify and select for complex trait combinations, as well as the development of robust phenotyping methods for mixed cropping environments. Addressing these challenges requires innovative breeding techniques, an agroecological understanding of diversified systems, active farmer engagement, supportive institutional, seed, and regulatory policies, and the support of funding agencies, all of which are essential to advancing breeding efforts for diversified systems.</p></div>","PeriodicalId":567,"journal":{"name":"Food Security","volume":"18 3","pages":"655 - 660"},"PeriodicalIF":6.2,"publicationDate":"2025-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147959062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The structure and robustness of the global wheat trade dependency networks","authors":"Wenqian Xiao,&nbsp;Zikai Wu","doi":"10.1007/s12571-025-01621-w","DOIUrl":"10.1007/s12571-025-01621-w","url":null,"abstract":"<div><p>Food security is a cornerstone of human survival and development, and food trade serves to alleviate shortages and ensure food security. Specifically, wheat is the staple food for about one-third of the global population, so the stability of its global trade directly determines the food security of many countries. To this end, with the ability to holistically uncover structural characteristics and capture dynamics of complex systems, the complex network framework has been widely used to study the trade system of various foods, such as wheat. Most of these studies use trade volume as edge weights, which can represent bilateral relationship but has difficulty in characterizing the third-party effect. Besides, trade networks constructed in these studies always overlook the asymmetry of inter-country dependencies. To more accurately capture the trade relationships between countries, this study uses dependency to define the edge weight and construct the global wheat import and export dependency networks for the years 2000 to 2022. This research examines not only the structural characteristics of the networks but also their resilience, efficiency, and vulnerability, providing a comprehensive evaluation of the performance of the global wheat trade dependency network. The findings reveal that: (1) The global wheat trade dependency network exhibits scale-free properties, negative assortativity, and low reciprocity, with resilience improving over time. (2) The import dependency network demonstrates a highly concentrated structure, with most countries relying heavily on a few core nations, whereas the export dependency network shows a more dispersed and increasingly diversified community structure. (3) Deliberate attacks have a greater impact on network vulnerability compared to random attacks. Moreover, the clustering coefficient changes more gradually under most attack scenarios, highlighting the robustness of local clusters. (4) African countries, Latin American countries, and Caribbean countries are more vulnerable to trade shocks. In conclusion, this study uses complex network analysis to uncover the dependency relationships and vulnerabilities inherent in the global wheat trade network. The results provide valuable insights for policymakers and researchers in safeguarding food security and hedging for future risks.</p></div>","PeriodicalId":567,"journal":{"name":"Food Security","volume":"18 1","pages":"89 - 110"},"PeriodicalIF":6.2,"publicationDate":"2025-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147338697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Psychometric evaluation of a modified food security survey scale in the economically deprived population of Hong Kong","authors":"Ka Yu Kwan,&nbsp;Pui Hing Chau,&nbsp;Mandy Ho,&nbsp;Chee Hon Chan,&nbsp;Raymond Lap Ming Tang,&nbsp;Paul Siu Fai Yip","doi":"10.1007/s12571-025-01611-y","DOIUrl":"10.1007/s12571-025-01611-y","url":null,"abstract":"<div><p>Food security is vital for global health and sustainable development. However, existing validated versions of the Household Food Security Survey Module (HFSSM) cannot address the needs for a shorter Chinese version with a shorter reference period. This study aimed to examine the psychometric properties of a 6-item Chinese-version of the HFSSM (3-month reference period), among the economically deprived population in Hong Kong. This study included 512 observations from community-dwelling Chinese adults (≥ 18 years), who were social services users or food assistant service applicants, and with household income &lt; 75% of the population median. Construct validity and scale targeting were assessed using Rasch analysis. Convergent validity, known-group validity, internal consistency, and test-retest reliability were also examined. The construct validity was satisfactory, with a logical item calibration hierarchy and good infit statistics for five items (0.81–1.26), although a floor effect was indicated in the Wright map. The convergent validity was supported through a moderate positive correlation with the single-item household food insufficiency scale (<i>r</i> = 0.58). Known-group validity showed higher scores among those aged &lt; 65 years (d = 1.17, <i>p</i> &lt; 0.001), living with children aged &lt; 18 years (d = 1.09, <i>p</i> &lt; 0.001), enrolled in the food assistance program (d = 0.54, <i>p</i> &lt; 0.001), living at the poverty line or below (d = 0.30, <i>p</i> = 0.010), and with poor or fair health (d = 0.20, <i>p</i> = 0.028). Furthermore, the scale had fair-to-good internal consistency (Cronbach’s alpha = 0.88, Rasch person reliability = 0.64) and excellent test-retest reliability (ICC = 0.96) in one week. The 6-item Chinese-version of the HFSSM (3-month reference period) is a valid and reliable measure of household food insecurity in the economically deprived population in Hong Kong.</p></div>","PeriodicalId":567,"journal":{"name":"Food Security","volume":"18 1","pages":"77 - 87"},"PeriodicalIF":6.2,"publicationDate":"2025-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12571-025-01611-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147338573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Wholesalers and the transformation of the “hidden middle” of the aquaculture value chain in Bangladesh","authors":"Hazrat Ali,&nbsp;Ben Belton,&nbsp;Mohammad Mahfujul Haque,&nbsp;Ricardo Hernandez,&nbsp;Khondker Murshed-e-Jahan,&nbsp;Liz Ignowski,&nbsp;Thomas Reardon","doi":"10.1007/s12571-025-01605-w","DOIUrl":"10.1007/s12571-025-01605-w","url":null,"abstract":"<div><p>The rapid growth of aquaculture in Bangladesh over the past 30 years has been accompanied by a proliferation of wholesalers. Wholesalers are often assumed in academic and public discourse to be exploitative and inefficient: extracting rents rather than driving technological change. This view gives rise to development programs that seek to bypass marketing intermediaries or upgrade their practices. However, there has been little rigorous research on the behavior of wholesalers and its implications for outcomes of value chain performance, including food security. To address this gap, we implemented a statistically representative survey of 229 aquatic food wholesalers in 31 markets in one of Bangladesh’s most important aquaculture zones. We found the following. (1) The wholesale segment of the aquaculture value chain has grown rapidly. (2) Markets are increasingly competitive, with open auctions leading to disintermediation and transparent pricing. (3) Wholesale businesses operate on thin margins. (4) Very little food loss or waste occurs in the farm, wholesale, or retail value chain segments in the study zone. (5) Trading aquaculture products generates substantial employment for men but little for women. Contrary to popular belief, the midstream of the aquaculture value chain in southern Bangladesh is dynamic and efficient. The paper contributes to a growing literature highlighting the contributions that micro, small and medium enterprises (MSMEs) in the “hidden middle” segments of agri-food value chains make to food security.</p></div>","PeriodicalId":567,"journal":{"name":"Food Security","volume":"18 1","pages":"53 - 76"},"PeriodicalIF":6.2,"publicationDate":"2025-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12571-025-01605-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147336709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Shrinking rice bowls: tracing the decline of Philippine rice lands","authors":"Albino N. Taer","doi":"10.1007/s12571-025-01604-x","DOIUrl":"10.1007/s12571-025-01604-x","url":null,"abstract":"<div><p>Rice farming is a pillar of food security, livelihoods, and cultural heritage across the Philippines. However, available rice lands face mounting pressures. This systematic review synthesises evidence on factors driving the decline of Philippine rice lands over the past 30 years (1993–2023). Literature was retrieved from academic databases and grey sources, screened for relevance, and analysed following the PRISMA guidelines. Results show that natural disasters such as recurrent typhoons, volcanic eruptions, landslides, and periodic flooding damage rice areas, human activities dominate rice land loss, accounting for 75% of documented drivers. Anthropogenic factors have converted an estimated 97,592.5 hectares of agricultural land between 1988 and 2016. Rapid urbanisation and sprawl have converted 30–50% of rice lands near cities over recent decades. Agricultural policies spurred farmers to convert paddies to aquaculture, cash crops, and other uses. Inadequate irrigation leaves 30% of lands dry. Deforestation disrupts water supplies essential for wet rice cultivation, prompting abandonment. Groundwater over-extraction causes land subsidence, enhancing flood risks and infrastructure damage. The Cordillera rice terraces face erosion and landslides after abandonment. Integrated land use planning is urgently needed to safeguard sufficient rice lands and support climate-resilient, sustainable intensification. Stronger protection of agricultural zones, expansion of irrigation infrastructure, and incentives for farmers’ adaptation can help secure rice farming livelihoods and long-term food self-sufficiency, given the projected pressures of urbanisation and climate change across the rice lands of the Philippines.</p></div>","PeriodicalId":567,"journal":{"name":"Food Security","volume":"18 1","pages":"279 - 292"},"PeriodicalIF":6.2,"publicationDate":"2025-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147336834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of agricultural digitization in mitigating the impacts of extreme weather on food Security—Evidence from China","authors":"Kun Zhou,&nbsp;Liu Chen,&nbsp;Jianqiang Li","doi":"10.1007/s12571-025-01602-z","DOIUrl":"10.1007/s12571-025-01602-z","url":null,"abstract":"<div><p>Achieving food security is an important sustainable development goal (SDG). This paper established a comprehensive assessment system for food security (FS) and agricultural digitization, and the impact of extreme weather on food security in China and the practical role of agricultural digitalization is analyzed. The results demonstrated that China’s FS continues to increase from 2004 to 2021. However, for every 1% increase in the extreme weather frequency, China’s grain unit output decreases by 1.3%, the total grain yield decreases by 0.005 units, and FS decreases by 0.004 units. Among extreme weather occurrences, extreme rainfall most notably adversely affects FS. Fortunately, agricultural digitization could significantly enhance FS. When agricultural digitization increases by 1 unit, FS increases by 0.129 units. By establishing an interaction term of agricultural digitization and extreme weather frequency, we determined that agricultural digitization could significantly help the food production sector overcome extreme weather, ensuring FS. Agricultural digitization fulfills the greatest positive role in China’s major grain-producing areas, especially in the central region. In Western China and nonmajor grain-producing areas, the effectiveness of agricultural digitization is not notable. Generally, this study is essential for helping countries worldwide assess agricultural digitization and FS levels, increase food production capacity, and alleviate hunger.</p></div>","PeriodicalId":567,"journal":{"name":"Food Security","volume":"18 1","pages":"37 - 51"},"PeriodicalIF":6.2,"publicationDate":"2025-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147336886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Black women facing food insecurity are more vulnerable to the double burden of malnutrition in Brazil: evidence from Brazilian National Dietary Survey","authors":"Sávio Marcelino Gomes,&nbsp;Aline Martins de Carvalho,&nbsp;Alisson Diego Machado,&nbsp;Eduardo De Carli,&nbsp;Mariana Alves Ferreira,&nbsp;Michelle Cristine Medeiros Jacob,&nbsp;Dirce Maria Lobo Marchioni","doi":"10.1007/s12571-025-01607-8","DOIUrl":"10.1007/s12571-025-01607-8","url":null,"abstract":"<div><p>Malnutrition, in all its forms, is one of the leading global challenges. The intersection of gender and race-based oppression can negatively influence the burden of malnutrition. Likewise, nutritional outcomes can affect each other, as seen in the relationship between food insecurity and underweight or obesity. In this study, our aim was to understand how the impact of food insecurity on underweight, overweight, and obesity varies across gender and race categories. To achieve this, we used data from a nationally representative Brazilian nutritional survey and conducted a multinomial logistic regression model to estimate Odds Ratios and 95% Confidence Intervals. White women in food insecurity showed higher odds of developing obesity (1.40, CI95 1.10–1.77), while Black women simultaneously presented higher odds of presenting both underweight (1.41, CI95 1.00-1.98) and obesity (1.42, CI95 1.16–1.73), relatively White man in food security. We demonstrated that the effect of food insecurity on malnutrition, at a population level, can vary according to individuals’ gender and race. Thus, we conclude that promoting food and nutrition security could reduce gender and race disparities in nutritional outcomes.</p></div>","PeriodicalId":567,"journal":{"name":"Food Security","volume":"18 1","pages":"29 - 36"},"PeriodicalIF":6.2,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147342902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing global wheat supply security based on a cascading failure model in the context of the Russia-Ukraine conflict","authors":"Laijun Zhao,&nbsp;Wanying Xie,&nbsp;Huiyong Li,&nbsp;Shuo Sun,&nbsp;Hongru Yi,&nbsp;Lixin Zhou,&nbsp;Pingle Yang","doi":"10.1007/s12571-025-01610-z","DOIUrl":"10.1007/s12571-025-01610-z","url":null,"abstract":"<div><p>Russia and Ukraine are critical global wheat producers and exporters, and the Russia-Ukraine conflict is affecting global food security, the magnitude and outcome of its impact remain uncertain. To provide insights, we constructed an international wheat trade network based on the complex network theory and improved the under-load cascading failure model by incorporating trade preferences and national response strategies. By simulating the effects of halted wheat exports from Russia and Ukraine on wheat supplies during each round of cascading transmission, we analysed the propagation of supply shocks and identified vulnerable regions and key alternative exporters during the cascading process. We established a network resilience index to assess the impact on the wheat trade network and conducted a sensitivity analysis of network resilience under different Russian and Ukrainian export scenarios to identify the factors that determine resilience. We found that all regions within the global wheat trade network were affected by supply shocks under cascading effects. China, India, the United Kingdom, and the United States can serve as alternative sources after Russia and Ukraine halt their wheat trade, whereas Indonesia, Lebanon, Libya, Malaysia, and Tunisia are likely to halt exports due to an inability to meet minimum domestic consumption under multiple scenarios. Our results indicate that vulnerable countries, particularly low- and middle-income nations in Asia, Africa, and the Middle East, should enhance interregional wheat trade connectivity, prioritize diversifying their wheat import sources, establish emergency grain reserves, and enhance domestic self-sufficiency to better cope with future supply shocks.</p></div>","PeriodicalId":567,"journal":{"name":"Food Security","volume":"18 1","pages":"7 - 28"},"PeriodicalIF":6.2,"publicationDate":"2025-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147341702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding the global hunger index and its correlates across districts of india: a spatial analysis","authors":"Nehal Amin,&nbsp;Vasudeva Guddattu","doi":"10.1007/s12571-025-01603-y","DOIUrl":"10.1007/s12571-025-01603-y","url":null,"abstract":"<div><p>Hunger and undernutrition remain critical global challenges, disproportionately affecting developing nations. India, despite its economic growth, faces alarming disparities in hunger levels across its districts. This study investigates the Global Hunger Index (GHI) across 692 Indian districts, in an attempt to understand the spatial distribution of hunger within the country. The GHI which incorporates indicators such as child stunting, child wasting, undernourishment and child mortality, was computed using data from the National Family Health Survey (NFHS-5) and the National Sample Survey (NSS). Multidimensional Poverty Index (MPI) and additional socio-economic factors were examined to understand their association with hunger using spatial and linear regression models. Our spatial analysis revealed high spatial disparity, with 90 districts identified as hunger hotspots. Factors such as MPI, lack of education, and inadequate sanitation were significant contributors to higher hunger levels. These findings emphasize the multidimensional nature of hunger and highlight the need for district-specific interventions addressing socio-economic inequalities and improving nutrition to effectively combat hunger in India.</p></div>","PeriodicalId":567,"journal":{"name":"Food Security","volume":"18 1","pages":"263 - 277"},"PeriodicalIF":6.2,"publicationDate":"2025-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12571-025-01603-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147341309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inequalities in the community food environment around Brazilian households with children under 5 years from a national survey in Brazil","authors":"Inês Rugani Ribeiro de Castro,&nbsp;Raquel Machado Schincaglia,&nbsp;Maria Alvim Leite,&nbsp;Elisa Maria de Aquino Lacerda,&nbsp;Paula Normando,&nbsp;Neilane Bertoni,&nbsp;Gilberto Kac","doi":"10.1007/s12571-025-01563-3","DOIUrl":"10.1007/s12571-025-01563-3","url":null,"abstract":"<div><p>This study characterizes the community food environment around households in Brazil with children &lt; 5 years of age and analyzes its association with socioeconomic and demographic stratifiers. Data from 12,524 households from the Brazilian National Survey on Child Nutrition (ENANI-2019) were used. The community food environment was assessed through the perception of mothers or caregivers using three indicators: fruit and vegetable score (FV-S), ultra-processed foods score (UPF-S), and community food environment healthiness score (CFEH-S), all ranging from 0–10 points, categorized as low (worse), medium, and high (better). Unadjusted and adjusted multinomial logistic regression analyses were conducted to determine the independent associations between macro-region, household location, race/skin color, level of education of the mother or caregiver, and basic sanitation, and FV-S, UPF-S, and CFEH-S. The frequency of low and high categories was 21.8% and 64.1% for FV-S, 74.3% and 7.7% for UPF-S, and 34.1% and 9.8% for CFEH-S. Adjusted regressions showed that the North macro-region had the worst scenario for FV-S and CFEH-S. For UPF-S, the Northeast and South regions had the worst scenarios. Despite worse FV-S, rural households had better UPF-S and CFEH-S. Households with 0 or 1 basic sanitation service (sewage system, potable water, or garbage collection) had worse FV-S scores; those with 1 service had the worst CFEH-S scenario. We found that macro-region, place of residence, and access to sanitation services are associated with the healthiness of the community food environment around households with children &lt; 5 years in Brazil.</p></div>","PeriodicalId":567,"journal":{"name":"Food Security","volume":"17 6","pages":"1429 - 1440"},"PeriodicalIF":6.2,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145852617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}