Food and Energy Security最新文献

{"title":"Climate Change Impact Assessment on Rice Yield Using DSSAT and Geospatial Methods","authors":"Kudikala Ravi Teja,&nbsp;Venkata Reddy Keesara,&nbsp;Eswar Sai Buri,&nbsp;Venkataramana Sridhar","doi":"10.1002/fes3.70340","DOIUrl":"https://doi.org/10.1002/fes3.70340","url":null,"abstract":"<p>Rice is a major staple crop in Telangana, India, and its productivity is highly influenced by climatic variability and changing environmental conditions. Understanding the potential impacts of climate change on rice production is essential for developing locally relevant adaptation strategies. This study assessed the impacts of historical climate variability and projected future climate change on rice productivity in five representative agricultural fields located in Hanumakonda district, Telangana, India. The DSSAT-CERES Rice model was calibrated and applied using field-level crop management information obtained from Crop Cutting Experiments (CCE) conducted by the Chief Planning Office, Hanumakonda District. Historical rice yields were simulated for the period 2007–2023 and evaluated using available district-level rice yield statistics. The model demonstrated acceptable performance, with mean normalized root mean square error (NRMSE) values of 13.02% and 17.12% for Kharif and Rabi seasons, respectively. Future rice yields were projected for the period 2024–2040 under SSP245 and SSP585 climate scenarios using MIROC6 climate projections. The results suggest a general decline in rice productivity under both climate scenarios, with average reductions of 7.38% and 14.64% during the Kharif season and 10.7% and 11.5% during the Rabi season under SSP245 and SSP585, respectively, which pose challenges for local food security and highlight the need for adaptation strategies. The analyses indicated that variations in rainfall, temperature, and solar radiation influenced simulated yield responses across seasons. However, the results should be interpreted considering the limitations associated with district-level validation data, the use of a single climate model, and assumptions regarding future crop management practices. The study provides a local-scale assessment of potential climate-related risks to rice production in Hanumakonda district and may support the development of region-specific adaptation strategies.</p>","PeriodicalId":54283,"journal":{"name":"Food and Energy Security","volume":"15 6","pages":""},"PeriodicalIF":4.6,"publicationDate":"2026-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fes3.70340","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149259275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Contrasting Responses of Winter Wheat to Waterlogged and Non-Waterlogged Coal Mining Subsidence Revealed by Integrated DInSAR and UAV Red-Edge Remote Sensing","authors":"Duoduo Dong,&nbsp;Wenqing Xing,&nbsp;Jiaxin Liu,&nbsp;Yue Yang,&nbsp;Tingting Li,&nbsp;Chao Ma","doi":"10.1002/fes3.70343","DOIUrl":"https://doi.org/10.1002/fes3.70343","url":null,"abstract":"&lt;p&gt;This study aimed to clarify the spatiotemporal differences in the growth responses of winter wheat (&lt;i&gt;Triticum aestivum&lt;/i&gt; L.) to mining subsidence across different growth stages and hydrological conditions in high-groundwater-level Coal–Grain Composite Areas (CGCAs). A typical high-groundwater-level mining area in Jiaozuo City, Henan Province, China, was selected as the study area. Multi-temporal Differential Interferometric Synthetic Aperture Radar (DInSAR) and UAV red-edge multispectral imagery (UAV reMSI) were integrated. Sentinel-1A data were used to extract surface deformation and delineate subsidence areas. Four vegetation indices, NDVIre, SR, OSAVI, and NDSI, were selected from 13 candidate indices, and multidimensional spectral information was integrated using principal component analysis (PCA) to construct the Coal–Grain Composite Area Winter Wheat Remote Sensing Ecological Index (CGW-RSEI) for characterizing spatiotemporal differences in winter wheat growth conditions under different subsidence conditions. The results showed that: (1) Winter wheat exhibited a clear growth stage-dependent response to mining subsidence. Compared with Check Area 2 (CK2), winter wheat in the subsidence areas (SAs) exhibited an overall growth advantage during Length of Growing Season 1 (LOS1), became suppressed during Length of Growing Season 2 (LOS2), and showed distinct responses during the End of Growing Season (EOS). (2) Evaluation using fractional vegetation cover (FVC) showed that CGW-RSEI provided a relatively stable integrated characterization across different study areas and growth stages, with a mean &lt;i&gt;R&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt; of 0.832 across the four study areas, which was higher than those of the individual vegetation indices. (3) The spatial responses of winter wheat were associated with the hydrological conditions of the SAs. At the maturity stage, the non-waterlogged areas (SA1–SA3) exhibited better growth conditions near the subsidence centers than in the peripheral areas, with CGW-RSEI values approximately 0.05–0.14 higher, whereas the waterlogged area (SA4) showed the opposite gradient, with CGW-RSEI near the subsidence center approximately 0.05 lower than that in the peripheral area. (4) Clear differences were also observed in the spatial heterogeneity of winter wheat stands. At the heading stage, the coefficients of variation (CoVs) of the CGW-RSEI in SA1–SA3 reached their minimum levels, with a mean of 1.45%, whereas SA4 reached its maximum level across the growth stages (7.00%). Field-measured plant height CoV during the same period showed a similar spatial pattern among the study areas. These findings demonstrate that winter wheat responses to mining subsidence exhibit clear growth stage dependence and spatial differentiation, and that the integration of multidimensional remote sensing information can provide a relatively stable characterization of growth differences under contrasting subsidence-related hydrological conditions. This st","PeriodicalId":54283,"journal":{"name":"Food and Energy Security","volume":"15 6","pages":""},"PeriodicalIF":4.6,"publicationDate":"2026-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fes3.70343","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149259276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Biofortified Cassava Adoption, Poverty Reduction, and Household Welfare in Nigeria: Distributional Effects and Productivity Pathways","authors":"Edward Martey,&nbsp;Mesay Yami Gurmu,&nbsp;Ibukun James Olaoye,&nbsp;Temitayo Adeyemo,&nbsp;Tahirou Abdoulaye,&nbsp;Shiferaw Feleke","doi":"10.1002/fes3.70342","DOIUrl":"https://doi.org/10.1002/fes3.70342","url":null,"abstract":"<p>This study examines the association between the intensity of adoption of biofortified yellow cassava (BFYC) and per capita consumption expenditure, poverty incidence, the poverty gap, and poverty severity. Using cross-sectional data from 1738 farm households and 2937 cassava plots, we employ instrumental variable two-stage least squares (IV-2SLS), Lewbel 2SLS, and control function approaches to address potential endogeneity. The results consistently show that greater area under BFYC adoption is associated with higher per capita consumption expenditure and lower poverty incidence, depth, and severity. Mediation analysis indicates that agricultural productivity accounts for a substantial share of the observed adoption–welfare association, suggesting productivity as an important potential pathway linking BFYC adoption intensity to household welfare. The associations are heterogeneous across household groups, with female- and youth-headed households exhibiting comparatively larger welfare gains. Distributional analysis further shows stronger positive associations with consumption expenditure among households at the upper end of the expenditure distribution, while poverty-reducing associations are more pronounced across the lower-to-middle range of the poverty-gap distribution. These findings highlight the broader welfare relevance of BFYC beyond its nutritional benefits and suggest its potential role in integrated agricultural and poverty-reduction strategies. Policies that strengthen access to biofortified planting materials, extension services, productivity-enhancing inputs, and gender-responsive support could help expand adoption and promote more inclusive welfare gains.</p>","PeriodicalId":54283,"journal":{"name":"Food and Energy Security","volume":"15 6","pages":""},"PeriodicalIF":4.6,"publicationDate":"2026-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fes3.70342","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149235277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Carbon-Transfer Bottlenecks in Irrigated Oasis Agriculture: A Diagnostic Framework for Soil Organic Carbon Retention","authors":"Jingyi Zhu,&nbsp;Rui Chen,&nbsp;Zhenhua Wang,&nbsp;Yue Han,&nbsp;Jibin Cheng","doi":"10.1002/fes3.70341","DOIUrl":"https://doi.org/10.1002/fes3.70341","url":null,"abstract":"<p>Sustaining food production in arid regions increasingly depends on irrigated oasis agriculture, yet high productivity in these systems does not guarantee durable soil organic carbon (SOC) retention. This integrative narrative review asks why this yield–carbon decoupling occurs in irrigated oasis croplands and how it can be addressed through agronomic regulation. We synthesize evidence showing that the key limitation is not biomass input alone, but a set of carbon-transfer bottlenecks that restrict belowground carbon entry, microbial conversion, and physical–mineral protection. Salinity increases microbial maintenance costs and reduces microbial-residue formation. Mulched drip irrigation creates wetting and salt-accumulation microsites that spatially separate carbon inputs from stabilization sites. Long-term plastic mulching and residual-film accumulation further degrade soil structure and weaken the matrix needed to protect transformed carbon. The main contribution of this review is to translate established microbial-efficiency and carbon-fraction concepts into a diagnostic agronomic framework for oasis cropping systems. This framework links water–salt regulation, substrate–microbe regulation, and soil-matrix protection to the stage at which carbon transfer is most constrained. Measurable signals from the root zone, microbial pathway, and soil matrix can help identify potential management priorities. By treating regulation as location-specific rather than sequential, the framework provides a basis for aligning SOC retention with yield stability, water-use efficiency, climate mitigation, and resilient food production in water-limited regions.</p>","PeriodicalId":54283,"journal":{"name":"Food and Energy Security","volume":"15 6","pages":""},"PeriodicalIF":4.6,"publicationDate":"2026-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fes3.70341","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149235283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Divergent Spatial Patterns of Household Food Consumption in China: A Hybrid Spatial Econometrics-Machine Learning Approach","authors":"Ruotong Mu,&nbsp;Liang Wu","doi":"10.1002/fes3.70322","DOIUrl":"https://doi.org/10.1002/fes3.70322","url":null,"abstract":"<p>Food consumption maps link food supply, consumption as well as food nutrition, offer useful information for analyzing people's food intake and exploring food flow and consumption pattern, and are increasingly regarded as important research tools and data sources for the science community. Based on statistical records from 292 prefectures in China between 2015 and 2020, and considering multi-dimensional driving factors from socioeconomic, climatic, and environmental health, this study builds a hybrid model integrating Spatial Error Model (SEM) and XGBoost machine learning algorithm to simulate spatial distributions of per capita food consumption (PCFC) across urban and rural areas in China. The results indicate that the hybrid model effectively captures both spatial dependence and nonlinear relationships of the PCFC. Validation with independent official data from 2021 to 2023 shows satisfactory accuracy. The results reveal a clear north–south gradient in PCFC, with rural PCFC growing faster than urban areas, reflecting the combined effects of narrowing urban–rural income gap, diffusion of urban dietary patterns, and improvements in rural supply chains. This study is the first-ever endeavor to uncover the spatial distribution of food consumption in China and it offers an insightful approach into the underlying mechanisms of regional dietary imbalances. This study suggests the needs for differentiated policies to promote sustainable development for China's food system and for enhanced actions to improve data coverage and accuracy.</p>","PeriodicalId":54283,"journal":{"name":"Food and Energy Security","volume":"15 5","pages":""},"PeriodicalIF":4.6,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fes3.70322","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149205659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Amino Acid-Enriched Phosphorus Fertilizer Enhances Maize Yield, Phosphorus Uptake, and Phosphorus Use Efficiency","authors":"Lin Cheng,&nbsp;Linchuan Zhan,&nbsp;Zongya Wang,&nbsp;Ximei Cao,&nbsp;Tingting Xu,&nbsp;Hongyan Wu","doi":"10.1002/fes3.70312","DOIUrl":"https://doi.org/10.1002/fes3.70312","url":null,"abstract":"<p>The development of enhanced fertilizers using amino acid-based biostimulants can help improve fertilizer use efficiency and reduce environmental emissions. However, in the context of phosphorus (P) risk management, the potential physiological mechanisms by which amino acid enhanced P fertilizers affect maize yield and P use efficiency (PUE) remain unclear. This study aimed to explore the effects of amino acid addition on soil available P, phosphatase activity, crop yield, and PUE through a soil column experiment. Five treatments were set up in the experiment: (1) no fertilization control (CK), (2) control without P fertilizer (NK), (3) application of diammonium phosphate (P), (4) application of 5‰ amino acid enhanced diammonium phosphate (AP0.5), and (5) application of 5% amino acid enhanced diammonium phosphate (AP5), with six replicates for each treatment. The results showed that amino acid enhanced P fertilizers promoted the absorption and utilization of P by maize and increased the yield, mainly reflected in the form of increased 100-grain weight. The effect was most significant with an amino acid addition of 0.5%. Amino acid enhanced P fertilizers increased the P supply capacity of the soil and enhanced soil biological activity. Compared with the P treatment, the available P content in the 0–20 cm soil layer under the AP5 and AP0.5 treatments increased by 3.42%–6.46%. The activities of acid phosphatase and alkaline phosphatase in the rhizosphere soil of maize under the AP0.5 treatment reached 5.61 pKatal/g soil and 2.54 pKatal/g soil, respectively, significantly higher than those in other treatments. The research results indicate that amino acid enhanced P fertilizers, as an environmentally friendly fertilizer, can not only improve yield and PUE but also increase the soil P supply capacity and ensure soil biological activity, which is of great significance for agricultural production, P resource protection, and environmental protection.</p>","PeriodicalId":54283,"journal":{"name":"Food and Energy Security","volume":"15 5","pages":""},"PeriodicalIF":4.6,"publicationDate":"2026-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fes3.70312","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149047965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Effects of Nitrogen Application Rate and Rice–Water Mimosa Mixed Cropping on Rice Quality, Starch Structure, and Protein Composition","authors":"Shuting Zhao,&nbsp;Renjie Zhao,&nbsp;Zexin Qi,&nbsp;Feisal Mohamed Osman,&nbsp;Qiang Zhang,&nbsp;Zhian Zhang,&nbsp;Xiao Han","doi":"10.1002/fes3.70323","DOIUrl":"https://doi.org/10.1002/fes3.70323","url":null,"abstract":"<p>Rice quality is jointly affected by nitrogen (N) management, cropping system, and environmental conditions. A two-year field experiment was conducted to evaluate the effects of rice–water mimosa mixed cropping and three N application rates (0, 75, and 150 kg N ha⁻¹) on rice milling and appearance quality, physicochemical properties, starch characteristics, protein composition, and rice-flour pasting properties. Increasing N application generally increased the brown rice rate, milled rice rate, head rice rate, gel consistency, and protein content but decreased the instrument-derived taste index, total starch content, amylose content, peak viscosity, trough viscosity, breakdown, and final viscosity. Chalkiness degree, chalky rice percentage, and solubility generally showed their lowest values at 75 kg N ha⁻¹. Compared with monocropping, mixed cropping produced the most consistent increases in milling quality and reductions in chalkiness at 75 kg N ha⁻¹ and increased the instrument-derived taste index and protein content under selected low and moderate N treatments. Mixed cropping also altered protein-fraction composition, generally increasing the relative proportions of prolamin and glutelin while decreasing the residual protein fraction. Furthermore, mixed cropping modified the short-range molecular organization of starch and the pasting properties of rice flour, although the magnitude and direction of these responses depended on N application rate and experimental year. Overall, rice-quality responses to mixed cropping depended on N management and experimental year, and among the three N rates tested, 75 kg N ha⁻¹ produced favorable values for several of the measured quality traits under the conditions of this two-year experiment.</p>","PeriodicalId":54283,"journal":{"name":"Food and Energy Security","volume":"15 5","pages":""},"PeriodicalIF":4.6,"publicationDate":"2026-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fes3.70323","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149048009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Energy Security, Green Finance, and Adoption of Communication Technology Increase Food Production in ASEAN-5 Economies, While Climate Change Reduces Gains","authors":"Yiyun Jiang,&nbsp;Abbas Ali Chandio,&nbsp;Korhan K. Gokmenoglu,&nbsp;Jiajia Li,&nbsp;Fayyaz Ahmad","doi":"10.1002/fes3.70309","DOIUrl":"https://doi.org/10.1002/fes3.70309","url":null,"abstract":"<p>Climate change has become a major global concern and poses a significant threat to food security. To address this challenge, this study investigates the energy-green finance-food security nexus under environmental degradation and assesses how progress on SDG-7 (Energy) and SDG-13 (Climate) shapes SDG-2 (Zero Hunger) in the ASEAN-5 economies (Indonesia, Malaysia, the Philippines, Thailand, and Vietnam) during 2000 to 2023. This study employs several panel data econometric approaches, including Feasible Generalized Least Squares (FGLS) and Driscoll-Kraay standard errors regression for long-run analysis, together with quantile regression to examine the relationships across different quantiles. The long-run estimates indicate that energy security, green finance, and the adoption of communication technologies significantly increase food production across the ASEAN economies. In contrast, climate change has a significant negative effect on food production. The MMQR results confirmed these findings. The findings support SDGs, particularly SDG-2, by promoting sustainable food production and encouraging the adoption of green energy technologies to reduce emissions from agricultural practices. Furthermore, the study suggests that the banking sector should introduce climate-related credit schemes that provide affordable financing to farmers, enabling them to adopt new technologies, address climate change challenges, and improve food productivity.</p>","PeriodicalId":54283,"journal":{"name":"Food and Energy Security","volume":"15 5","pages":""},"PeriodicalIF":4.6,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fes3.70309","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148994210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Rising Indoor Wheat Yields in Vertical Farming","authors":"Sebastian Eichelsbacher,&nbsp;Lukas Deuring,&nbsp;Francesco Giunta,&nbsp;Matthew Paul Reynolds,&nbsp;Senthold Asseng","doi":"10.1002/fes3.70319","DOIUrl":"https://doi.org/10.1002/fes3.70319","url":null,"abstract":"<p>Wheat (<i>Triticum aestivum</i>) is central to human nutrition but increasingly challenged by climate change and resource constraints. Vertical farming offers a potential solution through controlled, year-round cultivation, but the upper limits of productivity remain unclear. We conducted 39 climate chamber experiments (2022–2024) with electrical light and hydroponics, generating 719 yield datasets under varying light intensity, spectrum and photoperiod, carbon dioxide concentrations, air temperature, relative humidity, and hydroponic nutrient conditions. Robust K-means analysis identified a grain yield cluster of 1.5 kg m⁻² (15 t ha⁻¹) per harvest derived from 2000 spikes m⁻², 52,000 grain m⁻², and 30 mg grain weight. The cluster was characterized by 4300 mol m⁻² time-integrated incident photosynthetic photon flux density per crop cycle, 1000 μmol mol⁻¹ CO₂, 23°C, and 59% relative humidity. Owing to the short crop cycle, 5.2 harvests are possible annually. Individual center-positioned trays reached grain yields of 1.6 kg m⁻² and grain weights up to 50 mg, indicating further yield potential. High grain numbers suggest no canopy-level sink limitation, yet low grain weight under abundant resources indicates that neither source nor sink limitation alone fully explains yield performance. Instead, results suggest a possible source-sink co-limitation. This study establishes benchmarks for indoor wheat yields and novel insights into physiological constraints shaping yield potential in vertical farming.</p>","PeriodicalId":54283,"journal":{"name":"Food and Energy Security","volume":"15 5","pages":""},"PeriodicalIF":4.6,"publicationDate":"2026-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fes3.70319","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148993954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Responses of Soil Properties and Microbial Communities to Long-Term Winter Land-Use Systems in the Erhai Lake Basin","authors":"Shichen Li,&nbsp;Lei Pan,&nbsp;Jin Ouyang,&nbsp;Lianli Yang,&nbsp;Yongcong Wang,&nbsp;Sixuan La,&nbsp;Zhengxiong Zhao,&nbsp;Guiru Zhao","doi":"10.1002/fes3.70314","DOIUrl":"https://doi.org/10.1002/fes3.70314","url":null,"abstract":"<p>Winter land-use systems are an important but understudied component of agricultural management because long-term practices may be associated with distinct soil conditions and microbial characteristics. However, whether different winter land-use systems are consistently associated with differences in soil properties and microbial communities remains unclear. This study compared four long-term winter land-use systems—winter fallow, morel mushroom cultivation, potato cultivation, and rapeseed cultivation—in the Erhai Lake Basin, China, to assess differences in soil chemical properties and bacterial and fungal communities. Soil samples were collected from established farmer-managed fields on comparable red soils following summer tobacco production. Soil physicochemical properties and bacterial and fungal communities were characterized using chemical analyses, high-throughput sequencing, and multivariate statistical approaches. The four winter land-use systems showed distinct soil chemical profiles. Fallow soils were characterized by higher soil organic carbon and available nitrogen, whereas rapeseed-grown soils had lower pH and greater phosphorus availability. Potato-grown soils showed lower available potassium and phosphorus, while morel-grown soils had higher available potassium but lower carbon and nitrogen availability. Bacterial and fungal community compositions differed significantly among systems. Bacterial α-diversity and richness were lower under morel cultivation, whereas fungal α-diversity showed limited variation. LEfSe analysis identified distinct bacterial and fungal biomarker taxa associated with the different winter land-use systems. Long-term winter land-use systems were associated with distinct soil nutrient conditions and microbial community characteristics on comparable red soils. Microbial differences were closely associated with variation in soil pH, organic matter, cation exchange capacity, and nutrient availability. These findings show that different winter land-use choices correspond to different soil chemical and microbial patterns and provide evidence for soil-specific winter management in subtropical plateau agriculture.</p>","PeriodicalId":54283,"journal":{"name":"Food and Energy Security","volume":"15 5","pages":""},"PeriodicalIF":4.6,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fes3.70314","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148943098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}