[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5101":3,"related-5101":102},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":32,"secondary_topics":38,"classification":44,"search_phrases":73,"slug":76,"view_count":77,"doi":78,"paper":79,"created_at":101},5101,"Advances in Cerrado and tropical grassland plant biology – diversity, functioning, resilience and conservation","https:\u002F\u002Fdoi.org\u002F10.1093\u002Faob\u002Fmcag331","Abstract Background Tropical grasslands and savannas are ancient, highly diverse ecosystems that support important ecological processes, ecosystem services and human livelihoods, yet they are increasingly threatened by agricultural expansion, altered fire regimes, invasive species and climate change. The Cerrado, the largest savanna-dominated region in the Neotropics, exemplifies both the exceptional biological diversity and vulnerability of tropical open ecosystems. Despite major advances in plant ecology and evolution, important gaps remain in understanding how plants and plant communities respond to environmental change and disturbance. Scope We review recent advances in plant biology in the Cerrado and other tropical grasslands, covering their evolution, vegetation patterns, plant–animal interactions, functional ecology, responses to fire and environmental change, and restoration and conservation. We consider processes from plant traits and physiological responses to community and ecosystem dynamics, examining how environmental and biotic factors shape the diversity, functioning and resilience of tropical grassy ecosystems. Conclusions Recent advances reinforce the value of tropical grasslands as model systems for advancing fundamental plant science while providing knowledge relevant to their conservation and restoration. Future research should better integrate -omics, functional and evolutionary approaches with long-term monitoring, remote sensing and predictive modelling to understand plant responses to climate change, land-use intensification and changing disturbance regimes. Plant research can also contribute to ecosystem restoration, sustainable land management and climate adaptation. Greater recognition of native plant diversity as a resource for sustainable bioeconomies and local livelihoods can further connect biodiversity conservation with societal needs.","摘要 背景 热带草原和稀树草原是古老且高度多样的生态系统，支撑着重要的生态过程、生态系统服务与人类生计，然而它们正日益受到农业扩张、火 regime 改变、入侵物种和气候变化的威胁。塞拉多（Cerrado）是新热带地区最大的以稀树草原为主的区域，集中体现了热带开放生态系统卓越的生物多样性与脆弱性。尽管植物生态学和进化研究已取得重大进展，但在理解植物及植物群落如何响应环境变化和干扰方面仍存在重要空白。 范围 我们综述了塞拉多及其他热带草原植物生物学的最新进展，涵盖其进化、植被格局、植物–动物相互作用、功能生态学、对火和环境变化的响应，以及恢复与保护。我们考察了从植物性状和生理响应到群落和生态系统动态的过程，审视环境和生物因素如何塑造热带草类生态系统的多样性、功能和恢复力。 结论 最新进展强化了热带草原作为推进基础植物科学模型系统的价值，同时提供了与其保护和恢复相关的知识。未来研究应更好地整合组学、功能和进化方法，与长期监测、遥感和预测建模相结合，以理解植物对气候变化、土地利用集约化和干扰 regime 变化的响应。植物研究还可为生态系统恢复、可持续土地管理和气候适应作出贡献。进一步认识本土植物多样性作为可持续生物经济和当地生计资源的价值，可将生物多样性保护与社会需求更紧密地联系起来。",null,"Annals of Botany","2026-10-14T00:00:00Z","论文",10,false,72,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},12,20,18,14,8,1,"核心期刊综述，系统梳理热带草原植物多样性、功能与保护研究进展，学术价值高但与国内农业信息化直接关联有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"生态保护","热带草原","稀树草原","植物多样性","退化草地恢复",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"H6","biodiversity","生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity","H",[39],{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate",{"status":45,"locked":14,"version":46,"method":47,"evidence":48},"classified","2026-10-22.2","rules",{"candidates":49,"agricultural_evidence":51},[50,57,65],{"code":33,"score":13,"supported":51,"title":52,"abstract":53,"tags":56},true,[],[54,55,34],"生物多样性","生态系统服务",[27],{"code":40,"score":58,"supported":51,"title":59,"abstract":60,"tags":64},9,[],[61,62,63],"气候变化","气候适应","climate change",[],{"code":66,"score":67,"supported":51,"title":68,"abstract":69,"tags":72},"I3",6,[],[70,71],"遥感","remote sensing",[],[74,75],"Cerrado 稀树草原 植物生物学","热带草原 植物多样性 保护","Cerrado稀树草原植物生物学-5101",0,"10.1093\u002Faob\u002Fmcag331",{"doi":78,"openalex_id":80,"authors":81,"venue":10,"cited_by_count":77,"oa_url":9,"card":94,"direction":98,"ingested_from":100},"W7222330485",[82,85,88,91],{"name":83,"orcid":84},"Robert G. Miller","https:\u002F\u002Forcid.org\u002F0000-0002-5798-4552",{"name":86,"orcid":87},"Augusto César Franco","https:\u002F\u002Forcid.org\u002F0000-0003-0869-5989",{"name":89,"orcid":90},"Cássia Beatriz Rodrigues Munhoz","https:\u002F\u002Forcid.org\u002F0000-0002-7990-6715",{"name":92,"orcid":93},"Marcelo Fragomeni Simon","https:\u002F\u002Forcid.org\u002F0000-0002-5732-1716",{"tldr":95,"method":96,"finding":97,"direction":98,"opportunity":99},"综述塞拉多及热带草原植物生物学进展，涵盖多样性、功能、恢复力与保护。","文献综述，整合组学、功能与进化方法及长期监测、遥感、预测模型。","热带草原是基础植物科学模型系统，需整合多手段理解植物对环境变化的响应。","农业遥感与作物表型","将遥感与预测模型用于热带草原植物功能性状监测，填补长期动态与恢复力评估空白。","openalex","2026-10-16T23:30:31.368451Z",{"total":67,"page":22,"page_size":67,"items":103},[104,173,270,352,426,488],{"id":105,"title":106,"url":107,"summary":108,"summary_zh":109,"content":9,"source_name":110,"source_url":107,"published_at":111,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":112,"score_detail":113,"sources":117,"tags":119,"primary_topic":123,"secondary_topics":124,"classification":126,"search_phrases":144,"slug":147,"view_count":22,"doi":148,"paper":149,"created_at":172},5163,"Ecological indicators of biodiversity and ecosystem responses to climate change in agroecology and nature-based solutions: a scoping review","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ecolind.2026.115685","Climate change reshapes biodiversity patterns and ecosystem processes across scales. However, ecological indicators used to track these changes remain uneven in structure and application. This study maps and synthesizes indicators applied in agroecology and nature-based solutions (NbS) for assessing biodiversity and ecosystem responses under climate change. A PRISMA-ScR-guided scoping review was conducted using Scopus, Web of Science, and Google Scholar, covering literature from 2003 to 2026. From a final dataset of 89 sources, data were extracted through a structured coding framework and synthesized using an Indicator–Scale–Response matrix and an Indicator Application Index. Findings show shared reliance on indicators such as species diversity, ecosystem productivity, carbon dynamics, ecosystem services, and resilience. Differences emerge in how these indicators are applied. Agroecology prioritizes process-based and field-level measurements grounded in local ecological interactions, while NbS emphasizes standardized and scalable metrics linked to monitoring and reporting systems. Cross-scale integration remains uneven, particularly in connecting species-level responses with ecosystem and landscape indicators. Remote sensing and Essential Biodiversity Variables provide emerging pathways for linking scales, though field integration remains partial. Results point to fragmented indicator systems that limit coherent ecological assessment across management contexts. Strengthening alignment between field observations and scalable monitoring approaches could improve comparability and usability of ecological indicators for climate adaptation and ecosystem management in agricultural landscapes.","气候变化重塑了跨尺度的生物多样性模式与生态系统过程。然而，用于追踪这些变化的生态指标在结构和应用上仍不均衡。本研究梳理并综合了农业生态学与基于自然的解决方案（NbS）中用于评估气候变化下生物多样性与生态系统响应的指标。采用PRISMA-ScR指南开展范围综述，检索Scopus、Web of Science和Google Scholar，覆盖2003年至2026年的文献。从最终89篇文献构成的数据集中，通过结构化编码框架提取数据，并运用“指标—尺度—响应”矩阵和指标应用指数进行综合。研究结果表明，各领域共同依赖物种多样性、生态系统生产力、碳动态、生态系统服务和恢复力等指标，但在指标应用方式上存在差异。农业生态学侧重于基于过程和田块尺度的测量，根植于地方生态相互作用；而NbS强调与监测和报告体系相关联的标准化、可扩展的度量指标。跨尺度整合仍不均衡，尤其是在将物种层面响应与生态系统及景观指标相衔接方面。遥感与基本生物多样性变量（Essential Biodiversity Variables）为连接尺度提供了新兴路径，但野外观测的整合仍不充分。研究结果揭示出指标体系的碎片化，限制了跨管理情境下一致的生态评估。加强野外观测与可扩展监测方法之间的衔接，有望提升生态指标在农业景观气候适应与生态系统管理中的可比性和可用性。","Ecological Indicators","2026-10-16T00:00:00Z",64,{"impact":21,"substance":19,"depth":114,"authority":115,"freshness":58,"relevant":22,"comment":116},16,13,"该综述系统梳理了农业生态学与NbS中生物多样性及生态系统响应的指标，方法规范、结论有参考价值，但属学术综述，产业与政策影响有限，适合作为专业资讯而非每日精选头条。",[118],{"name":110,"url":107},[61,54,120,121,122],"农业生态学","基于自然的解决方案","生态指标",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[125],{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},{"status":45,"locked":14,"version":46,"method":47,"evidence":127},{"candidates":128,"agricultural_evidence":51},[129,136,140],{"code":33,"score":130,"supported":51,"title":131,"abstract":133,"tags":135},27,[34,132],"agroecology",[54,134,55,34,132],"农业生态",[120,54],{"code":40,"score":19,"supported":51,"title":137,"abstract":138,"tags":139},[63],[61,62,63],[61],{"code":66,"score":67,"supported":51,"title":141,"abstract":142,"tags":143},[],[70,71],[],[145,146],"基于自然的解决方案 农业生态学 生物多样性 气候变化","基于自然的解决方案 农业生态学","基于自然的解决方案农业生态学生物多样性气候变化-5163","10.1016\u002Fj.ecolind.2026.115685",{"doi":148,"openalex_id":150,"authors":151,"venue":110,"cited_by_count":77,"oa_url":107,"card":166,"direction":98,"ingested_from":100},"W7222588017",[152,155,158,161,163],{"name":153,"orcid":154},"Eliakira Kisetu Nassary","https:\u002F\u002Forcid.org\u002F0000-0002-7327-4366",{"name":156,"orcid":157},"Mawazo Jamson Shitindi","https:\u002F\u002Forcid.org\u002F0000-0002-5579-902X",{"name":159,"orcid":160},"Aneth Japhet Magubika","https:\u002F\u002Forcid.org\u002F0009-0001-8910-1953",{"name":162,"orcid":9},"Esta Alfred Mhagama",{"name":164,"orcid":165},"Newton Lwiyiso Kilasi","https:\u002F\u002Forcid.org\u002F0000-0002-4721-7691",{"tldr":167,"method":168,"finding":169,"direction":170,"opportunity":171},"综述农业生态与NbS中生物多样性和生态系统气候响应指标的应用差异。","PRISMA-ScR范围综述，检索2003-2026年89篇文献，构建指标-尺度","两类领域指标依赖相似但应用分化，跨尺度整合不足，指标系统碎片化。","农业绿色发展与碳","可研究田间观测与遥感EBV衔接的跨尺度指标框架，提升农业景观气候适应评估可比性。","2026-10-17T23:30:28.181936Z",{"id":174,"title":175,"url":176,"summary":177,"summary_zh":178,"content":9,"source_name":179,"source_url":176,"published_at":180,"category":12,"cover_url":9,"hotness":181,"is_selected":14,"score":182,"score_detail":183,"sources":187,"tags":191,"primary_topic":197,"secondary_topics":203,"classification":206,"search_phrases":253,"slug":256,"view_count":22,"doi":257,"paper":258,"created_at":269},4739,"Regenerating Rural Futures Through Climate-Smart Agriculture Innovations: A Systems Perspective on Building Climate Resilience, Food Security and Inclusive Rural Prosperity in Nigeria","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23298251","Rural Nigeria stands at a defining crossroads. Although agriculture remains central to national food security, employment and rural livelihoods, the ecological, economic and institutional systems that sustain agricultural production are under increasing pressure. Climate variability, land degradation, biodiversity loss, demographic change, market volatility and institutional constraints are interacting in ways that threaten both agricultural productivity and the resilience of rural communities. These challenges are deeply interconnected and cannot be addressed through isolated sectoral interventions or yield-focused agricultural policies alone. This paper examines the regeneration of rural futures through the lens of Climate-Smart Agriculture (CSA), arguing that CSA should be understood not merely as a collection of improved farming practices but as an integrated systems framework for rural transformation. Drawing upon contemporary scholarship in climate science, agricultural development, resilience studies, ecological restoration, rural sociology and institutional governance, the paper explores how climate-smart approaches can contribute simultaneously to agricultural productivity, climate resilience, environmental sustainability and inclusive rural prosperity. Focusing on Nigeria, the analysis examines the country’s diverse agroecological zones, evolving climate risks, smallholder farming systems, demographic transitions and institutional landscape. The paper demonstrates that effective climate-smart strategies must be locally adaptive while remaining aligned with nationally coherent development objectives. It argues that Nigeria’s long-term agricultural competitiveness will depend less on expanding cultivated land and more on improving the resilience, productivity and sustainability of existing farming systems through knowledge-intensive innovation, ecosystem restoration, digital technologies, strengthened rural institutions and integrated value chain development. The paper further contends that sustainable rural transformation requires moving beyond fragmented development projects towards Rural Resilience Ecosystems in which agriculture, environmental management, community institutions, infrastructure, digital technologies, enterprise development and knowledge systems function as mutually reinforcing components of a coherent development strategy. Within this framework, the Climate-Smart Farmer Hub is presented as an operational example of how climate-smart agriculture, rural innovation, environmental stewardship and community capacity development can be integrated within locally responsive institutional systems that support broader national objectives for sustainable agricultural transformation and climate resilience. The paper concludes that Regenerating Rural Futures provides a useful systems-oriented paradigm for understanding how ecological integrity, economic opportunity, institutional effectiveness and community wellbeing can be strengthened simultaneously. By integrating contemporary scholarship with the realities of Nigerian agriculture and an original community-centred institutional framework, the study contributes an evidence-informed analytical perspective for advancing climate-smart agriculture, rural resilience and sustainable rural transformation in Nigeria and comparable development contexts.","尼日利亚农村正处在一个决定性的十字路口。尽管农业仍然是国家粮食安全、就业和农村生计的核心，但支撑农业生产的生态、经济和制度体系正面临日益增大的压力。气候变率、土地退化、生物多样性丧失、人口变化、市场波动和制度约束相互交织，威胁着农业生产力和农村社区的韧性。这些挑战深度关联，无法仅通过孤立的部门干预或以产量为导向的农业政策加以解决。本文从气候智慧型农业（Climate-Smart Agriculture, CSA）的视角审视农村未来的再生，主张CSA不应仅被理解为一系列改良农业实践的集合，而应被视为农村转型的综合系统框架。本文借鉴气候科学、农业发展、韧性研究、生态恢复、农村社会学和制度治理领域的当代学术成果，探讨气候智慧型方法如何能够同时促进农业生产力、气候韧性、环境可持续性和包容性农村繁荣。以尼日利亚为焦点，本文分析了该国多样的农业生态区、不断演变的气候风险、小农耕作系统、人口转型和制度格局。本文表明，有效的气候智慧型战略必须具有地方适应性，同时与国家连贯的发展目标保持一致。本文认为，尼日利亚的长期农业竞争力将较少取决于扩大耕地面积，而更多取决于通过知识密集型创新、生态系统恢复、数字技术、强化的农村机构和综合价值链发展来提升现有耕作系统的韧性、生产力和可持续性。本文进一步主张，可持续的农村转型需要超越碎片化的发展项目，迈向农村韧性生态系统，在这一系统中，农业、环境管理、社区机构、基础设施、数字技术、企业发展 and 知识体系作为连贯发展战略中相互强化的组成部分发挥作用。在这一框架内，气候智慧型农民中心（Climate-Smart Farmer Hub）作为一个操作实例被提出，展示气候智","Zenodo (CERN European Organization for Nuclear Research)","2026-10-12T00:00:00Z",25,78,{"impact":19,"substance":184,"depth":185,"authority":17,"freshness":13,"relevant":22,"comment":186},21,17,"以系统视角论述尼日利亚气候智慧农业与农村韧性建设，提出社区型制度框架，具参考价值但属境外研究。",[188,189],{"name":179,"url":176},{"name":179,"url":190},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23298250",[192,193,194,195,196],"数字乡村","农业数字化","气候智慧农业","小农韧性","农村转型",{"code":198,"slug":199,"name":200,"path":201,"parent_code":202},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[204,205],{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":45,"locked":14,"version":46,"method":47,"evidence":207},{"candidates":208,"agricultural_evidence":51},[209,215,220,226,230,237,243,248],{"code":198,"score":20,"supported":51,"title":210,"abstract":212,"tags":214},[211],"food security",[213,211],"粮食安全",[],{"code":40,"score":17,"supported":51,"title":216,"abstract":218,"tags":219},[217],"climate resilience",[217],[194],{"code":221,"score":17,"supported":51,"title":222,"abstract":224,"tags":225},"I1",[223],"smart agriculture",[223],[193],{"code":33,"score":58,"supported":51,"title":227,"abstract":228,"tags":229},[],[54,134,34],[],{"code":231,"score":232,"supported":51,"title":233,"abstract":234,"tags":236},"G2",3,[],[235],"smallholder",[],{"code":238,"score":232,"supported":51,"title":239,"abstract":240,"tags":242},"J1",[],[241],"农业政策",[],{"code":244,"score":22,"supported":14,"title":245,"abstract":246,"tags":247},"I",[],[],[193],{"code":249,"score":22,"supported":14,"title":250,"abstract":251,"tags":252},"I6",[],[],[192],[254,255],"尼日利亚 气候智慧农业","气候智慧农业 农业数字化 农村转型 小农韧性","尼日利亚气候智慧农业-4739","10.5281\u002Fzenodo.23298251",{"doi":257,"openalex_id":259,"authors":260,"venue":179,"cited_by_count":77,"oa_url":176,"card":263,"direction":268,"ingested_from":100},"W7221462831",[261],{"name":262,"orcid":9},"Franklin N. Ellah",{"tldr":264,"method":265,"finding":266,"direction":170,"opportunity":267},"本文从系统视角探讨气候智慧型农业如何推动尼日利亚农村再生，兼顾气候韧性、粮食安全与包容性繁荣。","基于气候科学、农业发展、韧性研究等多学科文献，结合尼日利亚农业生态区与制度分析。","气候智慧型农业应作为整合系统框架，通过知识创新、数字技术、生态修复与制度强化提升现有系统韧性。","可研究气候智慧型农业系统框架在不同农业生态区的本地化适配与数字技术赋能机制。","智慧农业 \u002F 农业物联网","2026-10-12T23:30:07.631373Z",{"id":271,"title":272,"url":273,"summary":274,"summary_zh":275,"content":9,"source_name":276,"source_url":273,"published_at":277,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":77,"score_detail":278,"sources":280,"tags":282,"primary_topic":286,"secondary_topics":287,"classification":288,"search_phrases":332,"slug":335,"view_count":232,"doi":336,"paper":337,"created_at":351},2434,"Integrated geoenvironmental analysis of the Gandu River sub-basin (Bahia, Brazil): interactions among landscape, water resources, and Atlantic Forest conservation","https:\u002F\u002Fdoi.org\u002F10.55905\u002Frdelosv19.n86-003","Drainage basins are fundamental units for integrated environmental studies, as they represent complex systems in which physical, biological, and socioeconomic components establish interdependent relationships that shape landscape organization and functioning. In this context, this research aims to conduct an integrated geoenvironmental analysis of the Gandu River sub-basin, located in the municipalities of Gandu, Nova Ibiá, and Wenceslau Guimarães, in the state of Bahia, Brazil, within the phytogeographic domain of the Atlantic Forest. The investigation is based on a systemic approach, the geosystem perspective, and the principles of Landscape Ecology, considering the relationships between natural elements and forms of land use and territorial occupation. The methodological procedures involved bibliographic research, cartographic analysis, geoprocessing techniques in a GIS environment, and the preparation of thematic maps related to location, geology, geomorphology, hypsometry, slope, pedology, drainage network, land use and land cover, and the Normalized Difference Vegetation Index (NDVI). The results show that the environmental dynamics of the sub-basin are directly related to geological, geomorphological, pedological, and hydrological characteristics, which influence infiltration processes, surface runoff, and the distribution of vegetation cover. A predominance of areas associated with secondary vegetation and agroforestry systems was observed, especially the cacao-cabruca system, which is important for maintaining regional ecological connectivity. However, landscape fragmentation resulting from the expansion of agricultural and livestock activities and changes in land use represents a threat to biodiversity conservation and the stability of environmental systems. Therefore, integrated geoenvironmental analysis is a fundamental tool for supporting land-use planning strategies, water resource conservation, recovery of degraded areas, and the implementation of ecological corridors in the context of the Atlantic Forest of Bahia.","流域是综合环境研究的基本单元，因其代表了物理、生物和社会经济组分之间建立相互依存关系、塑造景观组织与功能的复杂系统。在此背景下，本研究旨在对位于巴西巴伊亚州甘杜、新伊比亚和文塞斯劳·吉马良斯市境内、地处大西洋森林植物地理区的甘杜河子流域进行综合地质环境分析。调查基于系统方法、地质系统视角和景观生态学原理，考量自然要素与土地利用及领土占用形式之间的关系。方法程序包括文献研究、制图分析、GIS环境下的地理处理技术，以及编制与位置、地质、地貌、高程、坡度、土壤、水系网络、土地利用与土地覆盖、归一化植被指数（NDVI）相关的专题地图。结果表明，子流域的环境动态与地质、地貌、土壤和水文特征直接相关，这些特征影响入渗过程、地表径流和植被覆盖分布。观测到与次生植被和农林复合系统相关的区域占主导地位，尤其是可可-卡布鲁卡系统，其对维持区域生态连通性具有重要意义。然而，农业和畜牧业活动扩张及土地利用变化导致的景观破碎化，对生物多样性保护和环境系统稳定性构成威胁。因此，综合地质环境分析是支持土地利用规划策略、水资源保护、退化区域恢复以及巴伊亚大西洋森林背景下生态廊道实施的基础工具。","DELOS Desarrollo Local Sostenible","2026-09-11T00:00:00Z",{"impact":77,"substance":77,"depth":77,"authority":77,"freshness":77,"relevant":77,"comment":279},"巴西流域地质环境与景观生态研究，属自然地理与生态保护范畴，与三农、农业信息化、智慧农业无直接关联，不建议进入每日精选。",[281],{"name":276,"url":273},[27,283,284,285],"遥感监测","土地利用","流域治理",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":45,"locked":14,"version":46,"method":47,"evidence":289},{"candidates":290,"agricultural_evidence":51},[291,295,302,309,316,322,328],{"code":33,"score":21,"supported":51,"title":292,"abstract":293,"tags":294},[],[54,34],[284,27],{"code":296,"score":67,"supported":51,"title":297,"abstract":298,"tags":301},"B3",[],[299,300],"可可","cacao",[],{"code":303,"score":67,"supported":51,"title":304,"abstract":305,"tags":308},"C",[],[306,307],"畜牧","livestock",[],{"code":310,"score":67,"supported":51,"title":311,"abstract":312,"tags":315},"H3",[],[313,314],"水资源","water resource",[],{"code":317,"score":232,"supported":51,"title":318,"abstract":319,"tags":321},"H2",[],[320],"土壤",[],{"code":323,"score":232,"supported":51,"title":324,"abstract":325,"tags":327},"I4",[],[326],"GIS",[],{"code":66,"score":22,"supported":14,"title":329,"abstract":330,"tags":331},[],[],[283],[333,334],"土地利用 流域治理 生态保护 遥感监测","土地利用 流域治理","土地利用流域治理生态保护遥感监测-2434","10.55905\u002Frdelosv19.n86-003",{"doi":336,"openalex_id":338,"authors":339,"venue":276,"cited_by_count":77,"oa_url":345,"card":346,"direction":98,"ingested_from":100},"W7212359574",[340,342],{"name":341,"orcid":9},"Ariel Moura Vilas Boas",{"name":343,"orcid":344},"Marcelo Araújo da Nóbrega","https:\u002F\u002Forcid.org\u002F0000-0002-8532-0630","https:\u002F\u002Fojs.revistadelos.com\u002Fojs\u002Findex.php\u002Fdelos\u002Farticle\u002Fdownload\u002F10122\u002F5532",{"tldr":347,"method":348,"finding":349,"direction":98,"opportunity":350},"对巴西Gandu河子流域进行综合地质环境分析，评估景观、水资源与大西洋森林保护的关系。","系统方法与景观生态学视角，结合GIS空间分析、专题制图及NDVI。","次生植被与可可农林系统维持生态连通性，但农牧扩张导致景观破碎化威胁保护。","可结合多时相遥感与景观指数，量化农林复合系统对流域水文与连通性的动态影响。","2026-09-14T23:30:27.425323Z",{"id":353,"title":354,"url":355,"summary":356,"summary_zh":357,"content":9,"source_name":358,"source_url":355,"published_at":359,"category":12,"cover_url":9,"hotness":13,"is_selected":51,"score":360,"score_detail":361,"sources":366,"tags":368,"primary_topic":373,"secondary_topics":378,"classification":380,"search_phrases":406,"slug":409,"view_count":77,"doi":410,"paper":411,"created_at":425},5569,"A four-decadal (1981–2024) quality-assured ground-based soybean phenology dataset from Northeast China: a FAIR-compliant resource for climate impact and agricultural adaptation studies","https:\u002F\u002Fdoi.org\u002F10.1080\u002F20964471.2026.2735138","Although satellite remote sensing has been widely used to monitor land surface phenology, long-term, high-quality ground-based observations are essential for validating and calibrating these products, particularly for understanding agricultural ecosystem responses to climate change. However, such ground-truth datasets remain scarce, limiting the full potential of Earth system data applications. Here we present a comprehensive ground-based soybean phenology dataset for Northeast China, a region critical to national food security. The dataset integrates historical paper-based logs (1980s–1990s) with modern electronic records (2000s onwards) from 43 national agrometeorological stations operated by the China Meteorological Administration (CMA), spanning a 15° latitudinal gradient (38–53°N) across Heilongjiang, Jilin, and Liaoning provinces over 44 years (1981–2024). It provides the timing (day of year, DOY) of eight key phenophases (sowing, emergence, three-leaf, branching, flowering, pod formation, seed filling, maturity) and the durations of six intervening growth intervals. A multi-tiered quality assurance framework combining automated consistency checks, statistical outlier detection, and expert arbitration against agronomic principles and auxiliary climate data ensures high data integrity and completeness (>99%; paper era: 93.8%; electronic era: 98.1%). To facilitate reuse, we provide pre-computed kernel density estimates (probability distributions) and univariate linear regression trends for each station and phenological variable, along with 656 diagnostic plots. The dataset is openly available in the Science Data Bank under a CC BY 4.0 license as primary data tables (XLSX) and diagnostic plots (JPEG, 1200 dpi) (https:\u002F\u002Fdoi.org\u002F10.57760\u002Fsciencedb.37245). As a long-term, spatially explicit, FAIR-compliant ground-truth resource, this dataset is valuable for validating satellite-derived phenology products, calibrating crop modules, and investigating climate-driven impacts on agricultural systems.","尽管卫星遥感已被广泛用于监测地表物候，但长期、高质量的地面观测对于验证和校准这些产品至关重要，尤其是对于理解农业生态系统对气候变化的响应而言。然而，此类地面真值数据集仍然稀缺，限制了地球系统数据应用潜力的充分发挥。本文介绍了一套面向中国东北地区的综合性大豆物候地面数据集，该地区对国家粮食安全至关重要。该数据集整合了中国气象局（CMA）运营的43个国家农业气象站的历史纸质记录（20世纪80—90年代）与现代电子记录（2000年代至今），覆盖黑龙江、吉林和辽宁三省跨越15°纬度梯度（38—53°N）、时间跨度44年（1981—2024年）。数据集提供了8个关键物候期（播种、出苗、三叶、分枝、开花、结荚、鼓粒、成熟）的发生时间（年积日，DOY）以及6个中间生长间隔的持续时间。一套多层质量保证框架结合了自动一致性检查、统计异常值检测以及依据农学原理和辅助气候数据进行的专家仲裁，确保了高数据完整性和完整性（>99%；纸质时代：93.8%；电子时代：98.1%）。为便于重复使用，我们提供了每个站点和物候变量的预计算核密度估计（概率分布）和单变量线性回归趋势，以及656幅诊断图。该数据集以CC BY 4.0许可在Science Data Bank公开提供，包括主数据表（XLSX）和诊断图（JPEG，1200 dpi）（https:\u002F\u002Fdoi.org\u002F10.57760\u002Fsciencedb.37245）。作为一个长期、空间明确、符合FAIR原则的地面真值资源，该数据集对于验证卫星反演的物候产品、校准作物模块以及研究气候驱动对农业系统的影响具有重要价值。","Big Earth Data","2026-10-21T00:00:00Z",89,{"impact":362,"substance":363,"depth":364,"authority":20,"freshness":13,"relevant":22,"comment":365},22,24,19,"覆盖东北44年、43站的大豆物候地面观测数据集，质控严格且FAIR开放，对遥感验证与气候影响研究有实质价值，值得入选。",[367],{"name":358,"url":355},[369,61,370,371,372],"大豆","东北农业","物候数据","遥感验证",{"code":374,"slug":375,"name":376,"path":377,"parent_code":202},"A4","soybean-oilseeds","大豆与油料","\u002Ftopic\u002Ffield-crops\u002Fsoybean-oilseeds",[379],{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},{"status":45,"locked":14,"version":46,"method":47,"evidence":381},{"candidates":382,"agricultural_evidence":51},[383,389,394,398,402],{"code":374,"score":384,"supported":51,"title":385,"abstract":387,"tags":388},15,[386],"soybean",[369,386],[369],{"code":40,"score":13,"supported":51,"title":390,"abstract":391,"tags":393},[],[61,392,63],"农业气象",[61],{"code":198,"score":67,"supported":51,"title":395,"abstract":396,"tags":397},[],[213,211],[],{"code":66,"score":67,"supported":51,"title":399,"abstract":400,"tags":401},[],[70,71],[],{"code":33,"score":232,"supported":51,"title":403,"abstract":404,"tags":405},[],[134],[],[407,408],"东北 大豆 物候 数据集","大豆 物候 遥感 验证","东北大豆物候数据集-5569","10.1080\u002F20964471.2026.2735138",{"doi":410,"openalex_id":412,"authors":413,"venue":358,"cited_by_count":77,"oa_url":355,"card":420,"direction":98,"ingested_from":100},"W7223091615",[414,417],{"name":415,"orcid":416},"Quanjun Zhang","https:\u002F\u002Forcid.org\u002F0000-0001-6087-3928",{"name":418,"orcid":419},"Dongli Wu","https:\u002F\u002Forcid.org\u002F0000-0003-1676-2264",{"tldr":421,"method":422,"finding":423,"direction":98,"opportunity":424},"发布东北大豆1981–2024年44年地面物候数据集，含8个物候期与6个间隔期。","整合43个农气站纸质与电子记录，经自动校验、统计离群检测和专家仲裁质控。","数据完整度超99%，并提供核密度分布、线性趋势与656张诊断图。","可基于该地面真值校准遥感物候产品与作物模型，量化气候变化对大豆物候的影响。","2026-10-22T11:20:39.146445Z",{"id":427,"title":428,"url":429,"summary":430,"summary_zh":9,"content":9,"source_name":431,"source_url":9,"published_at":359,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":432,"score_detail":433,"sources":435,"tags":437,"primary_topic":443,"secondary_topics":448,"classification":454,"search_phrases":475,"slug":478,"view_count":22,"doi":9,"paper":479,"created_at":487},5535,"基于无人机多光谱图像与VGG21模型的小麦渍害调控效果识别","https:\u002F\u002Ffinance.sina.cn\u002F2026-10-16\u002Fdetail-inivmprm8363597.d.html","江苏省农科院农业信息研究所联合中国农科院环发所与湖北省农科院粮作所，在小麦拔节至抽穗、抽穗至灌浆两个阶段设置对照、渍水胁迫、硅肥与氨基酸调控试验，用大疆精灵4采集冠层多光谱影像。VGG21模型对硅肥调控识别正确率超91%，精度96.42%、召回率89.53%。","智慧农业（中英文）2026-10-21",82,{"impact":19,"substance":362,"depth":19,"authority":20,"freshness":13,"relevant":22,"comment":434},"省级科研机构联合攻关，方法新颖、数据扎实，对渍害遥感识别与调控评估有实质参考价值，值得入选。",[436],{"name":431,"url":429},[438,439,440,441,442],"智慧农业","农业遥感","作物表型","无人机多光谱","小麦渍害",{"code":444,"slug":445,"name":446,"path":447,"parent_code":202},"A2","wheat","小麦","\u002Ftopic\u002Ffield-crops\u002Fwheat",[449,453],{"code":66,"slug":450,"name":451,"path":452,"parent_code":244},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},{"status":45,"locked":14,"version":46,"method":47,"evidence":455},{"candidates":456,"agricultural_evidence":51},[457,462,466,471],{"code":444,"score":458,"supported":51,"title":459,"abstract":460,"tags":461},11,[446],[446],[],{"code":66,"score":458,"supported":51,"title":463,"abstract":464,"tags":465},[441],[],[440,439,441],{"code":40,"score":21,"supported":51,"title":467,"abstract":469,"tags":470},[468],"渍害",[],[],{"code":221,"score":22,"supported":14,"title":472,"abstract":473,"tags":474},[],[],[438],[476,477],"江苏省农科院 小麦渍害 多光谱","VGG21 小麦 硅肥调控","江苏省农科院小麦渍害多光谱-5535",{"doi":9,"openalex_id":9,"authors":480,"venue":9,"cited_by_count":77,"oa_url":9,"card":481,"direction":98,"ingested_from":486},[],{"tldr":482,"method":483,"finding":484,"direction":98,"opportunity":485},"用无人机多光谱图像和VGG21模型识别小麦渍害后硅肥与氨基酸调控效果。","大疆精灵4采集冠层多光谱影像，构建VGG21深度学习分类模型。","VGG21对硅肥调控识别正确率超91%，精度96.42%、召回率89.53%。","可扩展多生育期、多调控组合与轻量化模型，探索渍害胁迫等级与调控效果的同步识别。","agent","2026-10-22T00:07:10.070916Z",{"id":489,"title":490,"url":491,"summary":492,"summary_zh":493,"content":9,"source_name":494,"source_url":491,"published_at":495,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":496,"score_detail":497,"sources":499,"tags":501,"primary_topic":505,"secondary_topics":506,"classification":515,"search_phrases":564,"slug":567,"view_count":77,"doi":568,"paper":569,"created_at":592},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":115,"substance":19,"depth":384,"authority":17,"freshness":21,"relevant":22,"comment":498},"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。",[500],{"name":494,"url":491},[61,502,283,503,504],"盐碱地治理","智慧灌溉","土壤盐渍化",{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},[507,511],{"code":317,"slug":508,"name":509,"path":510,"parent_code":37},"soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",{"code":310,"slug":512,"name":513,"path":514,"parent_code":37},"irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",{"status":45,"locked":14,"version":46,"method":47,"evidence":516},{"candidates":517,"agricultural_evidence":51},[518,523,527,533,538,542,548,554,560],{"code":40,"score":19,"supported":51,"title":519,"abstract":520,"tags":522},[63],[61,62,521,63],"干旱",[61],{"code":317,"score":384,"supported":51,"title":524,"abstract":525,"tags":526},[508],[320,508],[502],{"code":310,"score":13,"supported":51,"title":528,"abstract":529,"tags":532},[],[530,313,512,531],"灌溉","evapotranspiration",[503],{"code":66,"score":534,"supported":51,"title":535,"abstract":536,"tags":537},7,[],[70,71],[283],{"code":198,"score":67,"supported":51,"title":539,"abstract":540,"tags":541},[],[213,211],[],{"code":221,"score":67,"supported":51,"title":543,"abstract":544,"tags":547},[],[545,546],"精准农业","precision agriculture",[],{"code":323,"score":67,"supported":51,"title":549,"abstract":550,"tags":553},[],[551,552],"地理信息","geographic information",[],{"code":555,"score":232,"supported":51,"title":556,"abstract":557,"tags":559},"F3",[],[558],"养分管理",[],{"code":238,"score":232,"supported":51,"title":561,"abstract":562,"tags":563},[],[241],[],[565,566],"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":568,"openalex_id":570,"authors":571,"venue":494,"cited_by_count":77,"oa_url":491,"card":587,"direction":98,"ingested_from":100},"W7222999158",[572,574,576,578,580,582,585],{"name":573,"orcid":9},"Asifa Naz",{"name":575,"orcid":9},"Muhammad Abu Baker Siddiq",{"name":577,"orcid":9},"Syed Asghar Hussain Shah",{"name":579,"orcid":9},"Shahrish Nawaz",{"name":581,"orcid":9},"Muhmmad Irfan",{"name":583,"orcid":584},"Rizwana Kausar","https:\u002F\u002Forcid.org\u002F0000-0002-1339-3312",{"name":586,"orcid":9},"Muhammad Nouman Khalid",{"tldr":588,"method":589,"finding":590,"direction":98,"opportunity":591},"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"]