[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3121":3,"related-3121":96},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":22,"tags":24,"primary_topic":30,"secondary_topics":36,"classification":42,"search_phrases":80,"slug":83,"view_count":84,"doi":8,"paper":85,"created_at":95},3121,"Optimization of Farmland Management Zoning in the Black Soil Region: A Climate Adaptability Assessment Considering Crop Growth Response and Topographic Characteristics（黑土区农田管理分区优化：考虑作物生长响应与地形特征的气候适应性评估）","https:\u002F\u002Fwww.mdpi.com\u002F2072-4292\u002F18\u002F18\u002F3260","吉林农业大学 Han Yongqi 等联合中科院东北地理与农业生态研究所、东北农业大学在《Remote Sensing》18(18): 3260 发表论文（2026-09-21 发表）。针对精准农业管理分区对单日期影像依赖难以捕捉年际作物环境变化问题，研究评估 29 个特征组合（融合 Sentinel-2 多光谱、PCA、NDVI 和 DEM 数据）在黑土区友谊农场干旱、湿润和融合场景下的气候适应性。实施异构空间注意力网络（HSAN）和 K-means 聚类，以变异系数（CV）评估稳定性与适应性。结果显示 HSAN 在多源融合下优于 K-means，CV 分别为 11.303-14.774% 与 14.823-16.011%；多期 NDVI 数据是主导因素，相对 CV 减少 34.850-53.701%；DEM 贡献有限；PCA 增强稳定性；多期融合在极端气候年份提升分区生态一致性与适用性。",null,"MDPI Remote Sensing","2026-09-21T00:00:00Z","论文",10,false,79,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":12,"relevant":20,"comment":21},15,22,18,14,1,"黑土区精准农业管理分区研究，方法新颖、数据扎实，对农业遥感应用有参考价值。",[23],{"name":9,"url":6},[25,26,27,28,29],"智慧农业","精准农业","黑土区","遥感","管理分区",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[37],{"code":38,"slug":39,"name":40,"path":41,"parent_code":35},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",{"status":43,"locked":13,"version":44,"method":45,"evidence":46},"classified","2026-10-22.2","rules",{"candidates":47,"agricultural_evidence":49},[48,55,60,66,73],{"code":31,"score":19,"supported":49,"title":50,"abstract":52,"tags":54},true,[51],"气候适应",[51,53],"干旱",[],{"code":38,"score":56,"supported":49,"title":57,"abstract":58,"tags":59},8,[39],[],[],{"code":61,"score":62,"supported":49,"title":63,"abstract":64,"tags":65},"I1",5,[],[26],[25,26],{"code":67,"score":68,"supported":49,"title":69,"abstract":70,"tags":72},"I3",4,[],[71],"remote sensing",[28],{"code":74,"score":75,"supported":49,"title":76,"abstract":77,"tags":79},"H6",3,[],[78],"农业生态",[],[81,82],"黑土区 管理分区 遥感","Sentinel-2 黑土区 气候适应性","黑土区管理分区遥感-3121",2,{"doi":8,"openalex_id":8,"authors":86,"venue":8,"cited_by_count":87,"oa_url":8,"card":88,"direction":92,"ingested_from":94},[],0,{"tldr":89,"method":90,"finding":91,"direction":92,"opportunity":93},"评估黑土区多源遥感特征组合在干旱湿润场景下的农田管理分区气候适应性。","融合Sentinel-2多光谱、NDVI、PCA与DEM，用HSAN和K-mea","HSAN优于K-means，多期NDVI主导稳定性提升，DEM贡献有限，PCA增强稳定性。","农业遥感与作物表型","可探索多期时序特征与深度聚类在极端气候下的跨区域迁移及分区决策落地。","agent","2026-09-22T00:05:38.189091Z",{"total":97,"page":20,"page_size":97,"items":98},6,[99,176,285,391,485,569],{"id":100,"title":101,"url":102,"summary":103,"summary_zh":104,"content":8,"source_name":105,"source_url":102,"published_at":106,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":107,"score_detail":108,"sources":114,"tags":116,"primary_topic":121,"secondary_topics":122,"classification":124,"search_phrases":152,"slug":155,"view_count":62,"doi":156,"paper":157,"created_at":175},3191,"Spatial prediction of soil organic carbon stocks in Sudanese clay soils using regression kriging","https:\u002F\u002Fdoi.org\u002F10.3389\u002Fsjss.2026.16733","Soil organic carbon (SOC) stocks are a critical component of terrestrial carbon pools, influencing soil quality, agricultural productivity, and climate change mitigation. This study aimed to map and improve spatial estimation of SOC stocks in Sudan’s Blue Nile clay soils using regression kriging (RK). The model integrated 554 spatially unique soil profiles with nine environmental covariates: precipitation, temperature, relative humidity, normalized difference vegetation index (NDVI), land use\u002Fcover, bare soil index (BSI), digital elevation model (DEM), LS-factor, and aspect. Spectral indices were derived from Landsat 9 imagery (April 2024), while climate and terrain data were obtained from CHIRPS\u002FWorldClim and SRTM (30 m). RK performance was robust, with spatial cross-validation R 2 = 0.72, RMSE = 8.4 Mg C ha −1 (29% of mean observed stock), and mean bias = −0.8 Mg C ha −1 . Predicted SOC stocks (0–30 cm) ranged from 12.4 to 51.2 Mg C ha −1 (mean 28.6 Mg C ha −1 ). NDVI, clay content, and topographic wetness index were the most influential predictors. Agricultural lands exhibited the highest stocks (51.2 Mg C ha −1 ), while bare lands had the lowest (14.2 Mg C ha −1 ). This study (1) applies spatially explicit validation for SOC mapping in Sudan’s Blue Nile region, (2) harmonizes legacy and contemporary soil data using equivalent soil mass correction, and (3) provides high-resolution SOC maps for climate-resilient agricultural planning. Findings support soil carbon management and climate mitigation in semi-arid regions.","土壤有机碳（SOC）储量是陆地碳库的重要组成部分，影响土壤质量、农业生产力及气候变化减缓。本研究旨在利用回归克里金（RK）方法对苏丹青尼罗河黏土区SOC储量进行制图并改进其空间估算。该模型整合了554个空间独立土壤剖面与9个环境协变量：降水、温度、相对湿度、归一化植被指数（NDVI）、土地利用\u002F覆盖、裸土指数（BSI）、数字高程模型（DEM）、LS因子和坡向。光谱指数源自Landsat 9影像（2024年4月），气候与地形数据分别来自CHIRPS\u002FWorldClim和SRTM（30 m）。RK表现稳健，空间交叉验证R²=0.72，RMSE=8.4 Mg C ha⁻¹（为实测储量均值的29%），平均偏差=−0.8 Mg C ha⁻¹。预测SOC储量（0–30 cm）范围为12.4–51.2 Mg C ha⁻¹（均值28.6 Mg C ha⁻¹）。NDVI、黏粒含量和地形湿度指数是最具影响力的预测因子。农地储量最高（51.2 Mg C ha⁻¹），裸地最低（14.2 Mg C ha⁻¹）。本研究（1）对苏丹青尼罗河地区SOC制图采用空间显式验证，（2）利用等效土壤质量校正协调历史与当代土壤数据，（3）为气候韧性农业规划提供高分辨率SOC图。研究结果支持半干旱地区的土壤碳管理与气候减缓。","Spanish Journal of Soil Science","2026-09-22T00:00:00Z",68,{"impact":56,"substance":109,"depth":110,"authority":111,"freshness":112,"relevant":20,"comment":113},21,17,13,9,"基于554个土壤剖面与多源遥感协变量的回归克里金制图研究，方法规范、验证充分，对半干旱区土壤碳管理与气候适应型农业规划有参考价值，但属区域性学术成果，公共影响有限。",[115],{"name":105,"url":102},[117,118,28,119,120],"农业遥感","气候变化","土壤碳汇","数字土壤制图",{"code":38,"slug":39,"name":40,"path":41,"parent_code":35},[123],{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},{"status":43,"locked":13,"version":44,"method":45,"evidence":125},{"candidates":126,"agricultural_evidence":49},[127,132,137,143,147],{"code":38,"score":19,"supported":49,"title":128,"abstract":129,"tags":131},[39],[130,39],"土壤",[],{"code":31,"score":12,"supported":49,"title":133,"abstract":134,"tags":136},[],[118,53,135],"climate change",[118],{"code":138,"score":75,"supported":49,"title":139,"abstract":140,"tags":142},"J1",[],[141],"农业规划",[],{"code":67,"score":84,"supported":13,"title":144,"abstract":145,"tags":146},[],[],[117,28],{"code":148,"score":20,"supported":13,"title":149,"abstract":150,"tags":151},"H4",[],[],[119],[153,154],"苏丹青尼罗河 土壤有机碳 回归克里金","Landsat 9 土壤有机碳 空间预测","苏丹青尼罗河土壤有机碳回归克里金-3191","10.3389\u002Fsjss.2026.16733",{"doi":156,"openalex_id":158,"authors":159,"venue":105,"cited_by_count":87,"oa_url":102,"card":168,"direction":173,"ingested_from":174},"W7213971196",[160,162,164,166],{"name":161,"orcid":8},"Faroug A.H. Jadalla",{"name":163,"orcid":8},"Kolapo O. Oluwasemire",{"name":165,"orcid":8},"Abd Elmagid A. Elmobarak",{"name":167,"orcid":8},"Mohammed A. M. Mohammed Zein",{"tldr":169,"method":170,"finding":171,"direction":92,"opportunity":172},"用回归克里金结合多源环境协变量预测苏丹青尼罗河粘土区土壤有机碳储量。","554个土壤剖面与9个环境协变量，Landsat 9、CHIRPS\u002FWorldC","模型R²=0.72，NDVI、粘土含量和地形湿度指数影响最大，农地碳储量最高。","可引入时序遥感与机器学习提升半干旱区SOC动态预测，并耦合农业管理措施评估固碳潜力。","数字乡村与农业信息化","openalex","2026-09-22T23:30:31.028178Z",{"id":177,"title":178,"url":179,"summary":180,"summary_zh":181,"content":8,"source_name":182,"source_url":179,"published_at":183,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":184,"score_detail":185,"sources":188,"tags":190,"primary_topic":195,"secondary_topics":196,"classification":203,"search_phrases":256,"slug":259,"view_count":87,"doi":260,"paper":261,"created_at":284},5483,"Soil Salinity under Climate Change in Pakistan: Emerging Challenges and Sustainable Management Approaches for Agriculture","https:\u002F\u002Fdoi.org\u002F10.71317\u002Fkjard.2.10.2026.883","Soil salinity is a major constraint to agricultural productivity, soil health, and food security in Pakistan, particularly under changing climatic conditions. Rising temperatures, increased evapotranspiration, irregular precipitation, droughts, flooding, and sea-level rise can intensify salt accumulation and alter soil–water interactions. This review examines the emerging challenges associated with climate change and soil salinity in Pakistan, focusing on their impacts on soil properties, crop physiology, agricultural production, and rural livelihoods. It discusses the mechanisms of soil salinity and sodicity, their spatial distribution, and the interactions among climate variability, irrigation practices, groundwater quality, and secondary salinization. Furthermore, sustainable management approaches are evaluated, including gypsum application, organic amendments, integrated nutrient management, efficient irrigation, drainage improvement, and appropriate leaching strategies. Climate-resilient approaches, such as conventional crop breeding, modern biotechnology, halophyte utilization, plant growth-promoting microorganisms, and mycorrhizal associations, are also explored. The review highlights the potential of remote sensing, geographic information systems, precision agriculture, and predictive modelling to support salinity monitoring and site-specific management. Despite these opportunities, important challenges remain, including insufficient long-term monitoring, limited region-specific data, economic constraints, and gaps in farmer awareness and institutional coordination. Addressing these challenges requires integrated research, effective agricultural policies, improved extension services, and collaboration among researchers, policymakers, and farming communities. Prioritizing locally adapted, economically feasible, and environmentally sustainable interventions can strengthen agricultural resilience, restore salt-affected soils, and protect freshwater resources. Overall, integrating climate adaptation with sustainable soil and water management is essential for maintaining agricultural productivity and improving long-term food security in Pakistan.","土壤盐渍化是制约巴基斯坦农业生产力、土壤健康和粮食安全的主要因素，在气候变化条件下尤为突出。气温升高、蒸散加剧、降水不规律、干旱、洪水以及海平面上升可能加剧盐分积累并改变土壤—水相互作用。本文综述了巴基斯坦气候变化与土壤盐渍化相关的新兴挑战，重点关注其对土壤性质、作物生理、农业生产和农村生计的影响。文章讨论了土壤盐渍化和钠质化的机制、其空间分布，以及气候变率、灌溉实践、地下水质量和次生盐渍化之间的相互作用。此外，评估了可持续管理途径，包括施用石膏、有机改良、综合养分管理、高效灌溉、排水改良和适宜的淋洗策略。还探讨了气候韧性方法，如常规作物育种、现代生物技术、盐生植物利用、植物促生微生物和菌根共生。本文强调了遥感、地理信息系统、精准农业和预测建模在支持盐渍化监测和因地制宜管理方面的潜力。尽管存在这些机遇，重要挑战依然存在，包括长期监测不足、区域特定数据有限、经济制约以及农民意识和制度协调方面的差距。应对这些挑战需要综合研究、有效的农业政策、改进的推广服务以及研究人员、政策制定者和农业社区之间的协作。优先采取适应当地、经济可行且环境可持续的干预措施，可增强农业韧性、修复盐渍化土壤并保护淡水资源。总体而言，将气候适应与可持续水土管理相结合，对于维持巴基斯坦农业生产力和改善长期粮食安全至关重要。","Kashmir Journal of Academic Research and Development","2026-10-20T00:00:00Z",66,{"impact":111,"substance":18,"depth":16,"authority":186,"freshness":56,"relevant":20,"comment":187},12,"综述性论文，系统梳理气候变化下巴基斯坦土壤盐渍化成因与可持续治理路径，兼具遥感与精准农业视角，对盐碱地治理议题有参考价值，但属区域性综述、非突破性成果。",[189],{"name":182,"url":179},[118,191,192,193,194],"盐碱地治理","遥感监测","智慧灌溉","土壤盐渍化",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[197,198],{"code":38,"slug":39,"name":40,"path":41,"parent_code":35},{"code":199,"slug":200,"name":201,"path":202,"parent_code":35},"H3","irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",{"status":43,"locked":13,"version":44,"method":45,"evidence":204},{"candidates":205,"agricultural_evidence":49},[206,210,214,221,226,233,238,245,251],{"code":31,"score":18,"supported":49,"title":207,"abstract":208,"tags":209},[135],[118,51,53,135],[118],{"code":38,"score":16,"supported":49,"title":211,"abstract":212,"tags":213},[39],[130,39],[191],{"code":199,"score":12,"supported":49,"title":215,"abstract":216,"tags":220},[],[217,218,200,219],"灌溉","水资源","evapotranspiration",[193],{"code":67,"score":222,"supported":49,"title":223,"abstract":224,"tags":225},7,[],[28,71],[192],{"code":227,"score":97,"supported":49,"title":228,"abstract":229,"tags":232},"A8",[],[230,231],"粮食安全","food security",[],{"code":61,"score":97,"supported":49,"title":234,"abstract":235,"tags":237},[],[26,236],"precision agriculture",[],{"code":239,"score":97,"supported":49,"title":240,"abstract":241,"tags":244},"I4",[],[242,243],"地理信息","geographic information",[],{"code":246,"score":75,"supported":49,"title":247,"abstract":248,"tags":250},"F3",[],[249],"养分管理",[],{"code":138,"score":75,"supported":49,"title":252,"abstract":253,"tags":255},[],[254],"农业政策",[],[257,258],"巴基斯坦 土壤盐渍化","盐碱地 遥感监测","巴基斯坦土壤盐渍化-5483","10.71317\u002Fkjard.2.10.2026.883",{"doi":260,"openalex_id":262,"authors":263,"venue":182,"cited_by_count":87,"oa_url":179,"card":279,"direction":92,"ingested_from":174},"W7222999158",[264,266,268,270,272,274,277],{"name":265,"orcid":8},"Asifa Naz",{"name":267,"orcid":8},"Muhammad Abu Baker Siddiq",{"name":269,"orcid":8},"Syed Asghar Hussain Shah",{"name":271,"orcid":8},"Shahrish Nawaz",{"name":273,"orcid":8},"Muhmmad Irfan",{"name":275,"orcid":276},"Rizwana Kausar","https:\u002F\u002Forcid.org\u002F0000-0002-1339-3312",{"name":278,"orcid":8},"Muhammad Nouman Khalid",{"tldr":280,"method":281,"finding":282,"direction":92,"opportunity":283},"综述气候变化下巴基斯坦土壤盐渍化的挑战与可持续管理途径。","文献综述，整合盐渍化机制、空间分布及遥感GIS与预测模型应用。","需将气候适应与水土管理结合，优先本地化、经济可行的干预措施。","可填补长期盐渍化监测与区域数据空白，发展遥感+预测模型的精准分区治理。","2026-10-21T23:30:23.059448Z",{"id":286,"title":287,"url":288,"summary":289,"summary_zh":290,"content":8,"source_name":291,"source_url":288,"published_at":183,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":292,"score_detail":293,"sources":297,"tags":299,"primary_topic":304,"secondary_topics":305,"classification":311,"search_phrases":363,"slug":366,"view_count":87,"doi":367,"paper":368,"created_at":390},5472,"Turning dirt into gold: the business case of soil carbon for agrarian pathways in arid climate","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1966265","Introduction Agricultural carbon sequestration offers considerable potential for mitigating anthropogenic climate change, particularly in the low-organic-carbon soils of the Middle East. This study presents a foundational scenario-based assessment of soil carbon sequestration and economic feasibility. Materials and methods Crop production and market datasets from Jordanian statistics (1998–2023) were used to estimate potential soil carbon sequestration and economic performance. Using benchmarks from literature in comparable agroecological regions, four soil carbon management practices were evaluated across multiple crops for their carbon storage potential using Monte Carlo uncertainty and sensitivity analysis. Sensitivity of economic performance was assessed under optimistic\u002Fpessimistic scenarios. Results Among the evaluated practices, the highest carbon sequestration rate was achieved through increased Soil Organic Carbon (SOC), reaching a maximum of 27.44 metric tons of CO₂ per hectare per year (tCO₂\u002Fha\u002Fyear) under the high scenario for cucumbers. In contrast, barley showed the highest sequestration rate at 0.45 tCO₂\u002Fha\u002Fyear under increased SOC in the high scenario. Sensitivity analysis showed that ±20% uncertainty in the management coefficients resulted in practice-specific changes of 1.11 tCO₂\u002Fha\u002Fyear for increased SOC and 0.46 tCO₂\u002Fha\u002Fyear for improved cropland management. Horticultural crops, particularly cucumbers and lemons, exhibited the highest sequestration rates and strongest responses to management interventions. Field crops such as wheat, barley, and olives demonstrated lower, more stable sequestration rates. Economic analysis revealed that cucumbers, grapes, potatoes, and Open-field farming (OFF) tomatoes achieved the highest tri-pillar performance (net and adjusted profits and break-even cost) alongside effective carbon sequestration. These findings highlight that crop choice is a primary determinant of both crop profitability and sequestrated carbon potential and feasibility, with significant implications for climate-smart agriculture, carbon credit mechanisms, and intensification strategies in data-scarce regions. Study limitations While empirical field validation remains a future priority, this model-based study provides a screening-level theoretical baseline to guide targeted research and investment in arid agricultural systems.","引言 农业碳封存为缓解人为气候变化提供了可观潜力，尤其是在中东低有机碳土壤中。本研究提出了一项基于情景的土壤碳封存与经济学可行性基础评估。材料与方法 利用约旦统计数据（1998—2023年）中的作物生产和市场数据集，估算潜在的土壤碳封存及经济表现。参考可比农业生态区域文献中的基准值，采用蒙特卡洛不确定性分析和敏感性分析，评估了四种土壤碳管理措施在多种作物上的碳储存潜力。在乐观\u002F悲观情景下评估了经济表现的敏感性。结果 在评估的各项措施中，通过增加土壤有机碳（SOC）实现的碳封存速率最高，在黄瓜的高情景下达到最高27.44公吨二氧化碳\u002F公顷\u002F年（tCO₂\u002Fha\u002Fyear）。相比之下，大麦在增加SOC的高情景下表现出最高的封存速率，为0.45 tCO₂\u002Fha\u002Fyear。敏感性分析表明，管理系数±20%的不确定性导致增加SOC和改善农田管理分别产生1.11 tCO₂\u002Fha\u002Fyear和0.46 tCO₂\u002Fha\u002Fyear的措施特异性变化。园艺作物，尤其是黄瓜和柠檬，表现出最高的封存速率和对管理干预的最强响应。小麦、大麦和橄榄等大田作物表现出较低但更稳定的封存速率。经济分析显示，黄瓜、葡萄、马铃薯和露地栽培（OFF）番茄在有效碳封存的同时实现了最高的三支柱表现（净利润、调整后利润和盈亏平衡成本）。这些发现突出表明，作物选择是作物盈利能力和封存碳潜力及可行性的主要决定因素，对气候智慧型农业、碳信用机制和数据稀缺地区的集约化策略具有重要意义。研究局限性 尽管田间实证验证仍是未来的优先事项，但这项基于模型的研究提供了筛选层面的理论基线，以指导干旱农业系统中的针对性研究和投资。","Frontiers in Sustainable Food Systems",70,{"impact":186,"substance":294,"depth":295,"authority":111,"freshness":112,"relevant":20,"comment":296},20,16,"基于约旦1998–2023年统计数据的模型情景研究，量化了不同作物固碳速率与经济收益，对干旱区农业碳汇与碳信用机制有参考价值，但属区域性模拟研究，尚未经田间验证。",[298],{"name":291,"url":288},[300,301,302,119,303],"气候智慧农业","碳交易","干旱农业","作物选择",{"code":38,"slug":39,"name":40,"path":41,"parent_code":35},[306,307],{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},{"code":148,"slug":308,"name":309,"path":310,"parent_code":35},"carbon","农业碳与绿色低碳","\u002Ftopic\u002Fenvironment\u002Fcarbon",{"status":43,"locked":13,"version":44,"method":45,"evidence":312},{"candidates":313,"agricultural_evidence":49},[314,318,322,328,335,342,348,354,358],{"code":38,"score":19,"supported":49,"title":315,"abstract":316,"tags":317},[39],[130,39],[],{"code":31,"score":12,"supported":49,"title":319,"abstract":320,"tags":321},[],[118,53,135],[300],{"code":148,"score":56,"supported":49,"title":323,"abstract":324,"tags":327},[],[325,326],"农业碳","carbon sequestration",[119,301],{"code":329,"score":97,"supported":49,"title":330,"abstract":331,"tags":334},"A2",[],[332,333],"小麦","wheat",[],{"code":336,"score":97,"supported":49,"title":337,"abstract":338,"tags":341},"B1",[],[339,340],"番茄","黄瓜",[],{"code":343,"score":75,"supported":49,"title":344,"abstract":345,"tags":347},"A5",[],[346],"马铃薯",[],{"code":349,"score":75,"supported":49,"title":350,"abstract":351,"tags":353},"B2",[],[352],"葡萄",[],{"code":74,"score":75,"supported":49,"title":355,"abstract":356,"tags":357},[],[78],[],{"code":61,"score":75,"supported":49,"title":359,"abstract":360,"tags":362},[],[361],"smart agriculture",[],[364,365],"约旦 土壤碳汇 黄瓜","土壤固碳 经济可行性","约旦土壤碳汇黄瓜-5472","10.3389\u002Ffsufs.2026.1966265",{"doi":367,"openalex_id":369,"authors":370,"venue":291,"cited_by_count":87,"oa_url":288,"card":383,"direction":389,"ingested_from":174},"W7223064172",[371,373,375,378,380],{"name":372,"orcid":8},"Tasnim Althalaj",{"name":374,"orcid":8},"Ross. M. Thompson",{"name":376,"orcid":377},"Tala H. Qtaishat","https:\u002F\u002Forcid.org\u002F0000-0002-2700-6686",{"name":379,"orcid":8},"Dan Bumblauskas",{"name":381,"orcid":382},"Fayha Al-Shibli","https:\u002F\u002Forcid.org\u002F0000-0002-5628-0975",{"tldr":384,"method":385,"finding":386,"direction":387,"opportunity":388},"基于约旦1998–2023年数据，评估干旱区土壤固碳潜力与经济可行性。","用蒙特卡洛不确定性与敏感性分析，评估四种土壤碳管理措施在多作物下的表现。","黄瓜等园艺作物固碳率最高，作物选择是固碳与盈利的关键决定因素。","农业绿色发展与碳","数据稀缺干旱区可结合田间验证与碳信用机制，研究作物级固碳经济激励设计。","智慧农业 \u002F 农业物联网","2026-10-21T23:30:07.383006Z",{"id":392,"title":393,"url":394,"summary":395,"summary_zh":396,"content":8,"source_name":397,"source_url":394,"published_at":398,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":399,"score_detail":400,"sources":403,"tags":405,"primary_topic":411,"secondary_topics":412,"classification":414,"search_phrases":452,"slug":455,"view_count":87,"doi":456,"paper":457,"created_at":484},5149,"New insights into root 2-naphtholic acid exudation, microbiome recruitment, and designing of drought-smart future crops","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffpls.2026.1938013","the wider landscape of rhizosphere ecology, chemical signaling, and stress-adaptive sustainable agricultural solutions.In this paper, we provide opinions relevant to the topic and new dimension of research. First, microbial diversity should be treated as an upstream constraint on host chemical signaling rather than as a correlate of plant performance. Second, 2-NA is the best read as a proof of principle for multifunctional exudates, not as a candidate agricultural input. Third, the distance between the mechanism and field deployment is considerably greater than current enthusiasm for microbiome engineering suggests.The novel insights from Chen et al. (2026) demonstrate that drought stressed plants grown with highestdiversity community (D1) accumulated 2-NA at approximately 16.5 μg•mL⁻¹, while intermediate diversity (D2) yielded around 0.27 μg•mL⁻¹, and the lowest diversity soil (D3) yielded none. Because 2-NA was undetectable in well-watered treatment, drought appears to act as the trigger and diversity as the gain control. Integrated transcriptomic and metabolomic profiling linked 2-NA accumulation to phenylpropanoid-related metabolism consistent with broader evidence that community context reshapes plant secondary metabolism under abiotic stress (Li et al.,2025;Kazarina et al., 2025;Yang et al., 2025).Our reading inverts the conventional framing. The \"cry-for-help\" narrative casts the plant as the agent and microbiome as the respondent, suggest the resident community sets the boundaries of what plant can do. Especially, low-diversity rhizospheres showed far broader transcriptional reprogramming than high diversity ones. We interpret this as a metabolic economy, where a diversity community supplies functional insurance, the host can invest narrowly and precisely; where it does not, the plant is pushed towards costly, diffuse and less targeted responses (Yang et al., 2021;Domeignoz-Horta et al., 2024).On this view, diversity is chemical signaling capital.This carries an uncomfortable agronomic implication. Intensive tillage, monoculture and heavy agrochemical loading erode rhizosphere diversity (Xiang et al., 2025). If precise, drought adaptive signaling depends on a diverse resident community, then diversity erosion may progressively disable the very recruitment mechanism that microbiome-based agriculture hopes to exploit. An important caveat should temper this interpretation. Dilution-to-extinction alters richness but does not hold composition constant, because rare taxa and their functional genes are lost together. \"Diversity\" is therefore an operational rather than a clean variable here, and the design cannot separate the effect of species richness itself from the loss of specific keystone lineages. Resolving this will require synthetic communities of matched composition but varied richness, assembled across contrasting soils. In this study, author elegantly used effective dilutions (10 -1 , 10 -4, 10 -7 ), which allow the quantitative separation of diversity function correlation without confusing community composition effects (CCE)Figure 1) (Chen et al. 2026). In response to drought stress, high-density rhizosphere community (D1), triggers the accumulation of 2-naphtholic acid (2-NA) at 16.54 μg•mL⁻¹, while moderate diversity (D2)and low diversity (D3) soils yielded significantly reduced (0.27 g.mL⁻¹) and undetectable concentration, respectively. However, the 2-NA was totally absent in all well water saturated condition regardless the diversity level, indicating that drought is the triggering signal and indicator of microbial diversity as it confirmed by quantitative amplifier of the specific chemical response (Chen et al. 2026).This overall scenario represents a \"cry-for-help\" model, refers to an adaptive defense mechanism where drought stressed-soybean plant induces root exudates to recruit beneficial microbes (Tharp et al.2026).Li et al. ( 2025) have revealed that drought induces microbiome and metabolic enrichment that help to enhance drought resistance in soybean (Li et al. 2025). In this current study, the microbial variations play crucial role in regulation of root exudates.However, the mechanistic insights into diversity dependence misinterprets in phenylpropanoid biosynthesis. Combined analysis of transcriptome and metabolomic revealed that the pathways related to phenylpropanoid metabolism were particularly high-diversity of microbes, drought-stressed rhizosphere, connecting 2-NA accumulation to this recognized secondary metabolite production route (Chen et al. 2026). This study outputs connect the broader evidence that microbiome variation reshapes secondary metabolism in response to abiotic stress, supporting the production of benzenoids and several lipid-derivative compounds that facilitate to recruit beneficial microbes (Li et al. 2025;Yang et al.2025;Kazarina et al.2025).A conceptual opinion is that microbial diversity acts as an upstream ecological fitter that restricts the breadth of host drought-response rewiring. Low density of rhizosphere showed wider range of transcriptional reprogramming where 3530 genes expressed differentially in D7, while 550 genes expressed in D1. These findings suggest that high diversity communities (HDCs) regulate plant stress responses by providing functional support to plants at molecular level known as molecular self-help (Chen et al. 2026). This connects with the insurance strategy of biodiversity; wherein diverse communities provide redundant functional power that alleviates ecosystem processes in unrest condition (Yang et al.2021;Domeignoz-Horta et al.2024). However, in case of holobiont wherein the microbial diversity modulates the plants stress investment strategy that exchange metabolic breadth for chemical care. These findings explore a cautionary aspect of agricultural intensification. Moreover, Lack of proper strategies on tillage, monoculture and uncontrolled use of agrochemicals significantly damage rhizosphere microbial diversity (Xiang et al. 2025). If microbial diversity (MD) is a requirement for precision chemical signaling that facilitates effective drought-adaptive microbiome recruitment. In contrast, diversity erosion (DE) may steadily impair the plants' ability to organized rhizosphere assembly (RA) under environmental stress, indicating vulnerability that warrants prompt attention for designing climate-smart future crops.Exudate-mediated recruitment is not itself novel: malic acid attacts Bacillus subtilis, strigolactones recruit arbuscular mycorrhizal fungi, flavonoids initiate rhizobial nodulation through NodD (Ruan et al. 2026;Qiao et al. 2024). What distinguishes 2-NA is that a single benzoid appears to three roles at a once (Chen et al. 2026;Niu et al., 2025). It acts as chemoattractant sensed by three methyl-accepting chemotaxis protein (ΔmcpU, ΔmcpY, ΔmcpZ), with a deletion mutant showing substantially reduced chemotaxis and root colonization. It serves as a nutritional reward taken up through an ATP-binding cassette (ABC) transporter system encoded upgBAEI, it functions as a regulatory ligand that binds Ncycling protein NirK, NapA, and FixI, confirmed by molecular docking and microscale thermophoresis, with napA expression strongly induced in co-culture. Comparable metabolite-driven shaping of rhizosphere bacteria has been reported during drought and rehydration in other systems (Lei et al., 2025;Zhao et al.,2025).2-NA identified as diversity-induced root exudate that accumulates in response to drought stress and help to microbiome assembly (Chen et al. 2026). Root exudate-mediated Ku recruitment has previously emphasized on how malic acid attracts Bacillus subtilis, strigolactons recruit arbuscular mycorrizal fungi, and flavonoids initiate rhizobial nodulation (Ruan et al. 2026;Qiao et al. 2024). The emerging role of a specific benzenoid acts as drought-responsive chemoattractant exhibits this functional level that reveals that metabolite variability in root exudates drought-specific information (Niu et al. 2025).Chen et al. ( 2026) explore three different functions of 2-NA that combinedly generate a cascading plant-microbe interaction. First, 2-NA acts as a chemoattractant. Chen et al. (2026) found that Sinorhizobium CS204 induces 87% higher chemotaxis regarding 2-NA compared to control, where the colonization efficiency increased by 361.86% after 2-NA application (Chen et al. 2026). The deletion mutants (ΔmcpU, ΔmcpY, ΔmcpZ) produced three MCPs are the primary sensors mediating this chemotactic response (Figure 1), with binding free energies of -5.9 to -7.0 kcal.mol -1 (Chen et al.). However, loss of function mutants exhibited 54-61% decline in chemotaxis and 17-69% reduction in root colonization, ensuring the genetic proof of the MCP-2-NA sensory axis (Chen et al. strains, so the specificity of 2-NA for beneficial taxa as opposed to the many soil bacteria that metabolize aromatic compound remains open. Until these gaps are closed, 2-Na is a compelling mechanistic exemplar rather than an established lever.The functional payoff reported by Chen et al. ( 2026) is nutritional. Under drought, restricted mass flow limits N delivery, impairing protein synthesis, photosynthesis and reactive-oxygen scavengers (de Vries et al., 2020). Co-application of 2-NA with Sinorhizobium CS204, increased plant biomass roughly 38%, improved photosynthesis and stomatal performance, altered expression of antioxidant and drought-responsive genes and raised tissue concentration of several mineral nutrients (Figure 1). This is consistent with growing evidence that rhizobia influence soil N cycling well beyond classical nodule symbiosis, and with field demonstration that improved rhizobial inoculants can raise nodulation, N-fixation and legume yield (Ling et al.,2022;Shah et al., 2024).One consequence deserves more scrutiny than it has received. The treatment reportedly upregulates denitrification (NirK, NapA, NorB, NosZ) alongside N-fixation. Denitrification is not a uniformly benign process: incomplete denitrification is a major source of nitrous-oxide, a greenhouse gas with high radiative forcing, and drying-rewetting cycles are known hotspots for such emissions. A drought mitigation strategy stimulates denitrification could therefore trade water-stress resilience against climate burden. No N2O flax data accompany the current work, and in our view no scald application should be contemplated until the NosZ-to-NirK balance and the resulting N2O:N2 product ratio are measured directly in soil.The gap between these results and agricultural practice is substantial, and we think it should be started plainly rather than bridged rhetorically. Persistence is the first obstacle: naphthalene-derived acids are readily biodegraded from common soil bacteria and sorb strongly to organic matter and clays, so the effective rhizosphere concentration of an applied dose is unlikely to resemble that achieved in controlled systems. Soil type, pH, temperature and moisture regime will all modulate this, and more has been varied systematically.Second, ecological selectivity is unproven at community scale. Applying an aromatic acid to soil may preferentially favor aromatic-degrading taxa, some of which are opportunists, and could shift community structure in ways that are unhelpful or difficult to reverse. Third, the biosafety and regulatory position of applying a naphthalene derivative to agricultural soil is not trivial and has not been addressed. Fourth, the economics of synthesizing and delivering a defined metabolite at field scale, alongside a live inoculant with its own formulation and shelf-life constrains, remain unexplored.These considerations argue for two parallel and non-exclusive strategies. The more immediately actionable is restoration of soil microbial diversity through reduced tillages, cover cropping, diversified rotation and organic amendment, supporting the endogenous capacity for 2-NA-mediated recruitment.The more speculative is targeted co-application of a metabolite with a compatible keystone strain as a biostimulant, which should be treated as research program rather than a near-term product. Progress of both will depend on standardized multi-omics frameworks capable of linking microbial community composition to function across sites and seasons, an area where methodological harmonization remains a recognized bottleneck (Kumar et al., 2023).Chen et al. ( 2026) provide the latest mechanistic framework to date of how resident microbial diversity conditions a plant's chemical recruitments of beneficial partners under drought. We found it as evidence that diversity is a functional prerequisite for practice host signaling, and that individual exudates can be multifunctional in ways that classical signal-versus-substrate distinctions do not capture.. The priorities we would set are correspondingly modest and testable, identification and genetic validation of the 2-NA biosynthesis pathway; measurement of exudation kinetics under realistic, fluctuating drought rather than imposed step changes; determination of the fate, half-life and sorption behavior of 2-NA across contrasting soils; assessment of community-level and N2O consequences; and examination of whether diversity-conditioned signaling operates in cereals and other legumes (Gahlot, 2026). Multi-side field evaluation should follow, not precede, these steps. Framed this way, the contribution of this work is conceptual rather than immediately applied. It does not yet deliver droughtsmart agriculture but clarifies what such a strategy would need to be built upon and it suggest that protecting the diversity already present in agricultural soils may be a more reliable investment than engineering it. However, this study further opens new dimension of research on diversity-dependent chemical ecology of drought adaptation in soybean that incorporated plant metabolomics, bacterial sensor biology and N biogeochemistry, which merely resolves a long-standing gap in our understanding of diversity function relationship in the rhizosphere but also microbiome-assisted climate-smart crop improvement.","根际生态学、化学信号传导以及胁迫适应性可持续农业解决方案的更广阔图景。本文就相关主题和研究的新维度提出观点。第一，微生物多样性应被视为宿主化学信号传导的上游约束条件，而非植物表现的相关变量。第二，2-NA最好被理解为多功能根系分泌物的原理验证，而非候选农业投入品。第三，机制与田间部署之间的距离远大于当前对微生物组工程的热情所暗示的程度。Chen等（2026）的新颖见解表明，在干旱胁迫下与最高多样性群落（D1）共生的植物积累了约16.5 μg•mL⁻¹的2-NA，而中等多样性（D2）约为0.27 μg•mL⁻¹，最低多样性土壤（D3）则未检出。由于在充分浇水处理中2-NA不可检测，干旱似乎是触发因素，而多样性则充当增益控制。整合转录组学和代谢组学分析将2-NA积累与苯丙烷类相关代谢联系起来，这与更广泛的证据一致，即群落背景在非生物胁迫下重塑植物次生代谢（Li et al., 2025; Kazarina et al., 2025; Yang et al., 2025）。我们的解读颠覆了传统框架。“求救”叙事将植物视为施动者、微生物组视为响应者，而我们则认为 resident community（驻留群落）设定了植物所能做出反应的范围。特别是，低多样性根际表现出远比高多样性根际更广泛的转录重编程。我们将其解释为一种代谢经济：当多样性群落提供功能保险时，宿主可以进行狭窄而精准的投入；当缺乏这种保险时，植物则被迫采取昂贵、弥散且靶向性较弱的响应（Yang et al., 2021; Domeignoz-Horta et al., 2024）。据此观点，多样性是化学信号资本。这带来了一个令人不安的农艺学含义。集约耕作、单作和大量农用化学品投入侵蚀根际多样性（Xiang et al., 2025）。如果精准的干旱适应性信号传导依赖于多样化的驻留群落，那么多样性侵蚀可能逐步削弱基于微生物组的农业所希望利用的正是这一招募机制。一个重要警告应缓和这一解读。稀释至灭绝改变了丰富度，但并未保持组成恒定，","Frontiers in Plant Science","2026-10-16T00:00:00Z",82,{"impact":18,"substance":17,"depth":401,"authority":19,"freshness":112,"relevant":20,"comment":402},19,"该文以观点文章形式系统梳理了根际微生物多样性调控大豆干旱信号2-NA的机制与田间应用差距，学术增量明确，但属机理性讨论而非产业级突破。",[404],{"name":397,"url":394},[406,407,408,409,410],"大豆","根际微生物","干旱适应","根系分泌物","微生物组工程",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[413],{"code":38,"slug":39,"name":40,"path":41,"parent_code":35},{"status":43,"locked":13,"version":44,"method":45,"evidence":415},{"candidates":416,"agricultural_evidence":49},[417,422,428,434,440,446],{"code":31,"score":19,"supported":49,"title":418,"abstract":420,"tags":421},[419],"drought",[53,419],[],{"code":38,"score":12,"supported":49,"title":423,"abstract":424,"tags":427},[],[130,425,39,426],"根际","rhizosphere",[407],{"code":74,"score":97,"supported":49,"title":429,"abstract":430,"tags":433},[],[431,432],"生物多样性","biodiversity",[],{"code":435,"score":68,"supported":49,"title":436,"abstract":437,"tags":439},"A4",[],[438],"soybean",[406],{"code":441,"score":75,"supported":49,"title":442,"abstract":443,"tags":445},"B7",[],[444],"greenhouse",[],{"code":447,"score":75,"supported":49,"title":448,"abstract":449,"tags":451},"H8",[],[450],"可持续农业",[],[453,454],"2-萘甲酸 根际微生物","Sinorhizobium CS204 大豆","2-萘甲酸根际微生物-5149","10.3389\u002Ffpls.2026.1938013",{"doi":456,"openalex_id":458,"authors":459,"venue":397,"cited_by_count":87,"oa_url":477,"card":478,"direction":389,"ingested_from":174},"W7222595413",[460,463,466,469,472,474],{"name":461,"orcid":462},"Md Atikur Rahman","https:\u002F\u002Forcid.org\u002F0000-0001-6779-9599",{"name":464,"orcid":465},"S. M. Shahinul Islam","https:\u002F\u002Forcid.org\u002F0000-0001-8122-2243",{"name":467,"orcid":468},"Nadiyah M. Alabdallah","https:\u002F\u002Forcid.org\u002F0000-0002-1970-8792",{"name":470,"orcid":471},"Salman Latif","https:\u002F\u002Forcid.org\u002F0000-0001-6460-4784",{"name":473,"orcid":8},"Mahmudul Hoque",{"name":475,"orcid":476},"Md Mahadi Hasan","https:\u002F\u002Forcid.org\u002F0000-0001-9168-7677","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fplant-science\u002Farticles\u002F10.3389\u002Ffpls.2026.1938013\u002Fpdf",{"tldr":479,"method":480,"finding":481,"direction":482,"opportunity":483},"重新解读根际2-萘甲酸分泌与微生物组招募，提出多样性是化学信号资本的观点。","整合转录组与代谢组分析，结合稀释-灭绝法构建不同多样性根际群落。","干旱触发2-NA积累，高多样性群落使分泌更精准，低多样性导致广泛而低效的转录重编程。","农业人工智能与决策模型","可研究根际多样性丧失如何逐步削弱作物干旱信号招募机制，并量化其对田间微生物组工程效果的影响。","2026-10-17T23:30:08.620964Z",{"id":486,"title":487,"url":488,"summary":489,"summary_zh":490,"content":8,"source_name":491,"source_url":488,"published_at":492,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":493,"score_detail":494,"sources":496,"tags":498,"primary_topic":500,"secondary_topics":505,"classification":511,"search_phrases":554,"slug":557,"view_count":84,"doi":8,"paper":558,"created_at":568},5013,"REMOTE SENSING AND GIS-BASED ASSESSMENT OF SOIL SALINITY IN IRRIGATED LANDS: METHODS, CHALLENGES AND PROSPECTS FOR PRECISION AGRICULTURE","http:\u002F\u002Fwww.arabianjournalofscience.com\u002Findex.php\u002Findex\u002Farticle\u002Fview\u002F1223","Soil salinization is a major land degradation process affecting the sustainability of irrigated agriculture, particularly in arid and semi-arid regions. Conventional soil sampling provides essential information about salinity levels but may be insufficient for continuous monitoring of large agricultural territories because of spatial variability, sampling costs, and temporal limitations. Remote sensing (RS) and geographic information systems (GIS) offer complementary approaches for identifying spatial patterns of salinity, monitoring land conditions, and supporting agricultural management. This article examines the scientific and methodological foundations of integrating multispectral satellite imagery, spectral indices, geospatial analysis, and machine learning for soil salinity assessment in irrigated lands. Particular attention is given to Landsat and Sentinel-2 imagery, the interpretation of vegetation and soil reflectance indicators, the role of electrical conductivity measurements in model calibration, and the limitations associated with vegetation cover, soil moisture, and seasonal variability. The analysis indicates that reliable salinity assessment requires the integration of satellite observations with field measurements and environmental variables rather than the isolated application of spectral indices. The article proposes a methodological framework for developing spatially explicit salinity assessment systems applicable to irrigated agricultural landscapes, including those of Central Asia. The framework provides a basis for improving monitoring strategies and supporting evidence-based land management without assuming unverified local measurement results.","土壤盐渍化是影响灌溉农业可持续性的主要土地退化过程，在干旱和半干旱地区尤为突出。传统土壤采样可提供盐分水平的基本信息，但由于空间变异性、采样成本和时间限制，可能不足以对大面积农业区域进行持续监测。遥感（RS）和地理信息系统（GIS）为识别盐渍化空间格局、监测土地状况和支持农业管理提供了互补性方法。本文探讨了整合多光谱卫星影像、光谱指数、地理空间分析和机器学习进行灌溉土地土壤盐渍化评估的科学与方法学基础。文章特别关注Landsat和Sentinel-2影像、植被与土壤反射率指标的解译、电导率测量在模型校准中的作用，以及与植被覆盖、土壤湿度和季节变异性相关的局限性。分析表明，可靠的盐渍化评估需要将卫星观测与野外测量和环境变量相结合，而非孤立地应用光谱指数。本文提出了一个方法学框架，用于开发适用于灌溉农业景观（包括中亚地区）的空间显式盐渍化评估系统。该框架为改进监测策略和支持基于证据的土地管理提供了基础，且不以未经核实的当地测量结果为假设前提。","Arabian journal of science.","2026-10-13T00:00:00Z",74,{"impact":295,"substance":294,"depth":110,"authority":111,"freshness":56,"relevant":20,"comment":495},"系统综述遥感与GIS在灌溉农田盐渍化评估中的方法框架与挑战，对盐碱地治理和精准农业有参考价值，但属综述性论文，非突破性成果。",[497],{"name":491,"url":488},[25,26,28,191,499],"土壤监测",{"code":67,"slug":501,"name":502,"path":503,"parent_code":504},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",[506,510],{"code":239,"slug":507,"name":508,"path":509,"parent_code":504},"gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis",{"code":38,"slug":39,"name":40,"path":41,"parent_code":35},{"status":43,"locked":13,"version":44,"method":45,"evidence":512},{"candidates":513,"agricultural_evidence":49},[514,519,525,529,533,540,544,548],{"code":67,"score":18,"supported":49,"title":515,"abstract":516,"tags":518},[71],[28,71,517],"multispectral",[28],{"code":239,"score":110,"supported":49,"title":520,"abstract":522,"tags":524},[521],"GIS",[242,523,521,243],"空间分析",[],{"code":38,"score":16,"supported":49,"title":526,"abstract":527,"tags":528},[39],[130,39],[191],{"code":61,"score":12,"supported":49,"title":530,"abstract":531,"tags":532},[236],[],[25,26],{"code":534,"score":97,"supported":49,"title":535,"abstract":536,"tags":539},"I2",[],[537,538],"机器学习","machine learning",[],{"code":199,"score":75,"supported":49,"title":541,"abstract":542,"tags":543},[],[217],[],{"code":31,"score":75,"supported":49,"title":545,"abstract":546,"tags":547},[],[53],[],{"code":549,"score":75,"supported":49,"title":550,"abstract":551,"tags":553},"I7",[],[552],"methodological framework",[],[555,556],"遥感 GIS 土壤盐渍化","Landsat Sentinel-2 盐分监测","遥感GIS土壤盐渍化-5013",{"doi":8,"openalex_id":559,"authors":560,"venue":491,"cited_by_count":87,"oa_url":488,"card":563,"direction":92,"ingested_from":174},"W7221843179",[561],{"name":562,"orcid":8},"Sadullayev Sardor Zokirjon o'g'li",{"tldr":564,"method":565,"finding":566,"direction":92,"opportunity":567},"综述遥感与GIS评估灌溉地土壤盐渍化的方法、挑战与前景，并提出空间显式评估框架。","整合多光谱卫星影像、光谱指数、GIS空间分析与机器学习，结合电导率校准。","可靠盐渍化评估需卫星观测与实地测量及环境变量融合，而非孤立使用光谱指数。","可探索多源遥感与机器学习融合的盐渍化动态监测，并验证于中亚等干旱灌区。","2026-10-15T23:30:32.401626Z",{"id":570,"title":571,"url":572,"summary":573,"summary_zh":574,"content":8,"source_name":575,"source_url":572,"published_at":492,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":576,"score_detail":577,"sources":579,"tags":581,"primary_topic":584,"secondary_topics":585,"classification":587,"search_phrases":623,"slug":626,"view_count":20,"doi":627,"paper":628,"created_at":640},4896,"Site-Specific Precision Cover Cropping for Soil Health and Environmental Sustainability Using Remote Sensing and Multi-Criteria Analysis","https:\u002F\u002Fdoi.org\u002F10.21663\u002Feeg-d-26-00041","ABSTRACT Cover crops, which are plants or mixtures of plants grown primarily to enhance and protect soil health, are a key strategy in sustainable agriculture. Traditionally, they have been uniformly planted in a field typically during off-season when the main crops are not in competition. However, advancements in precision agriculture, particularly the integration of remote-sensing technology, demand more efficient seeding strategies based on field variability. The aims of this study were to assess the specific needs of a field in Aurora County, SD, and determine the type and optimal combinations of the cover crop mix. The cover crop species considered in this study included legumes, grasses, and brassicas. The remote-sensing data were extracted from Sentinel-2 satellite imagery. Soil samples were collected from 0 to 30 cm depth, and soil properties were measured. Additionally, topographic maps such as slope and aspect were extracted from light detection and ranging (LiDAR) data. The results of precision cover crop analyses showed that 6.5 percent (7.8 ha), 20.6 percent (24.7 ha), 38.1 percent (45.7 ha), 29.6 percent (35.5 ha), and 5.3 percent (6.3 ha) of the studied field should planted in the following mixtures of crops: rye, radish, and vetch; triticale, turnip, and vetch; triticale, radish, and clover; triticale, rapeseed, and pea; and barley, flax, and clover, respectively. The mixtures significantly improved soil properties by reducing compaction, increasing residue C\u002FN ratio, and enhancing weed suppression compared with the control. The resulting map should be interpreted as a decision-support recommendation rather than a fully validated field prescription.","摘要 覆盖作物（cover crops）是指主要为了提升和保护土壤健康而种植的植物或植物混合体，是可持续农业的一项关键策略。传统上，覆盖作物通常在非主作物竞争的季节以均匀方式播种于田间。然而，精准农业的进步，尤其是遥感技术的整合，要求基于田块变异性制定更高效的播种策略。本研究旨在评估南达科他州奥罗拉县某田块的具体需求，并确定覆盖作物混合物的类型及最优组合。本研究考虑的覆盖作物种类包括豆科、禾本科和十字花科植物。遥感数据提取自Sentinel-2卫星影像。土壤样品采集深度为0至30 cm，并测定了土壤性质。此外，从激光雷达（LiDAR）数据中提取了坡度和坡向等地形图。精准覆盖作物分析结果表明，研究田块中分别有6.5%（7.8 ha）、20.6%（24.7 ha）、38.1%（45.7 ha）、29.6%（35.5 ha）和5.3%（6.3 ha）的面积应种植以下作物混合物：黑麦、萝卜和野豌豆；小黑麦、芜菁和野豌豆；小黑麦、萝卜和三叶草；小黑麦、油菜和豌豆；以及大麦、亚麻和三叶草。与对照相比，这些混合物通过降低紧实度、提高残体碳氮比和增强杂草抑制效果，显著改善了土壤性质。所得图谱应被解读为决策支持建议，而非经过充分验证的田间处方。","Environmental and Engineering Geoscience",72,{"impact":186,"substance":109,"depth":110,"authority":111,"freshness":112,"relevant":20,"comment":578},"该研究将遥感与多准则分析结合用于精准覆盖作物制图，方法新颖、数据具体，对农业信息化与可持续农业有参考价值，但属单点田间案例，影响范围有限。",[580],{"name":575,"url":572},[25,26,28,582,583],"土壤健康","覆盖作物",{"code":38,"slug":39,"name":40,"path":41,"parent_code":35},[586],{"code":67,"slug":501,"name":502,"path":503,"parent_code":504},{"status":43,"locked":13,"version":44,"method":45,"evidence":588},{"candidates":589,"agricultural_evidence":49},[590,594,598,602,608,613,618],{"code":38,"score":16,"supported":49,"title":591,"abstract":592,"tags":593},[39],[130,39],[582],{"code":67,"score":186,"supported":49,"title":595,"abstract":596,"tags":597},[71],[28],[28],{"code":61,"score":56,"supported":49,"title":599,"abstract":600,"tags":601},[],[26,236],[25,26],{"code":435,"score":97,"supported":49,"title":603,"abstract":604,"tags":607},[],[605,606],"油菜","rapeseed",[],{"code":447,"score":97,"supported":49,"title":609,"abstract":610,"tags":612},[],[450,611],"sustainable agriculture",[],{"code":336,"score":75,"supported":49,"title":614,"abstract":615,"tags":617},[],[616],"萝卜",[],{"code":619,"score":20,"supported":13,"title":620,"abstract":621,"tags":622},"A7",[],[],[583],[624,625],"Sentinel-2 遥感 覆盖作物","精准覆盖作物 土壤健康","Sentinel-2遥感覆盖作物-4896","10.21663\u002Feeg-d-26-00041",{"doi":627,"openalex_id":629,"authors":630,"venue":575,"cited_by_count":87,"oa_url":8,"card":635,"direction":92,"ingested_from":174},"W7221669942",[631,633],{"name":632,"orcid":8},"Ali Mirzakhani Nafchi",{"name":634,"orcid":8},"Salman Mirzaee",{"tldr":636,"method":637,"finding":638,"direction":92,"opportunity":639},"利用遥感与多准则分析为南达科他州田块制定精准覆盖作物混播方案。","Sentinel-2影像、LiDAR地形与土壤采样，结合多准则分析。","田块被划分为5个管理区，各推荐不同覆盖作物混播，显著改善土壤紧实度、残体C\u002FN比和抑草效果。","可验证该决策支持地图的田间效果，并融合实时物联网数据优化动态推荐。","2026-10-14T23:30:27.077312Z"]