[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3815":3,"related-3815":115},{"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":23,"tags":25,"primary_topic":32,"secondary_topics":38,"classification":50,"search_phrases":82,"slug":85,"view_count":86,"doi":87,"paper":88,"created_at":114},3815,"Carbon labels and carbon trading as market-based incentives for conserving traditional upland rice: a case study from Hainan, China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1969345","Introduction Traditional crop varieties that underpin agricultural biodiversity are rapidly disappearing as their cultivation becomes economically marginalized. Public ecological compensation has proven effective in incentivizing on-farm conservation, but it faces long-term fiscal sustainability constraints. Market-based carbon mechanisms including carbon labeling and carbon trading are increasingly proposed as complementary incentives, but real-world documented cases in smallholder traditional agroecosystems remain extremely limited. This study addresses this gap by analyzing an operational pilot practice launched for the globally important Shanlan upland rice system in Hainan, China. Methods Drawing on program documents, field interview records, and official verification data from the UNDP-GEF C-SAP3 2020–2025 project, this study systematically evaluates the full operational logic, implementation process and actual performance of the combined carbon label and carbon trading mechanism. A comparative analysis framework is constructed to compare the incentive strength, operation cost and institutional positioning of market-based carbon instruments and existing differentiated public ecological compensation schemes. Results The Shanlan rice conservation system has established a verified carbon sequestration rate of 2.1 t CO₂\u002Fha\u002Fyr, completed the first provincial carbon market transaction of RMB 530,000 in 2024, and officially released the dedicated Shanlan rice carbon label at the 2024 Hainan Winter Trade Fair. At the current carbon price of RMB 50\u002Ft, the annual carbon revenue per mu is only about RMB 7, accounting for roughly 3% of the existing public ecological compensation standard of RMB 200–220\u002Fmu. The carbon accounting parameter has already been embedded into the local ecological compensation calculation algorithm as an ecological service value component. Discussion The empirical results confirm that current carbon market instruments can only play a complementary rather than substitution role for public ecological compensation in traditional crop conservation scenarios, and their near-term value is more institutional than purely financial. The ambiguity between modeled sequestration parameters and actual measured conservation outcomes still limits the credibility of such market mechanisms. Three core propositions including incentive complementarity, measurement validation and long-term institutional stewardship are proposed to support future comparative research on similar agrobiodiversity conservation practices.","引言 支撑农业生物多样性的传统作物品种正因其种植在经济上被边缘化而迅速消失。公共生态补偿已被证明能有效激励农田就地保护，但面临长期财政可持续性约束。包括碳标签和碳交易在内的市场化碳机制日益被提议作为补充性激励手段，但在小农传统农业生态系统中，实际有据可查的案例仍然极为有限。本研究通过分析针对中国海南具有全球重要性的山栏稻旱作系统所开展的一项运行中的试点实践，来填补这一空白。方法 本研究依据联合国开发计划署—全球环境基金C-SAP3 2020—2025项目的项目文件、实地访谈记录和官方核证数据，系统评估碳标签与碳交易相结合机制的完整运行逻辑、实施过程和实际绩效。构建比较分析框架，对市场化碳工具与现有差异化公共生态补偿方案在激励强度、运行成本和制度定位方面进行比较。结果 山栏稻保护系统已确立经核证的碳汇速率为2.1吨二氧化碳\u002F公顷\u002F年，于2024年完成首笔省级碳市场交易53万元人民币，并在2024年海南冬交会上正式发布专用山栏稻碳标签。按当前碳价50元\u002F吨计算，每亩年度碳收益仅约7元人民币，约占现有公共生态补偿标准200—220元\u002F亩的3%。碳核算参数已作为生态服务价值组成部分嵌入地方生态补偿计算算法。讨论 实证结果证实，在当前传统作物保护情景下，碳市场工具只能对公共生态补偿发挥补充而非替代作用，其近期价值更多体现在制度层面而非纯粹财务层面。模型化碳汇参数与实际测得的保护成效之间的模糊性，仍限制此类市场机制的可信度。提出激励互补性、计量验证和长期制度管护三项核心命题，以支持未来比较研究。",null,"Frontiers in Sustainable Food Systems","2026-09-29T00:00:00Z","论文",10,true,82,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":22},18,23,14,9,1,"以海南山栏稻为案例，首次量化碳标签与碳交易对传统作物保护的激励强度（约7元\u002F亩，仅为生态补偿3%），数据扎实、结论明确，对农业碳汇与生物多样性保护政策具参考价值。",[24],{"name":10,"url":6},[26,27,28,29,30,31],"农业碳汇","碳交易","生态补偿","碳标签","山栏稻","农业生物多样性",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"A1","rice","水稻","\u002Ftopic\u002Ffield-crops\u002Frice","A",[39,45],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},"H4","carbon","农业碳与绿色低碳","\u002Ftopic\u002Fenvironment\u002Fcarbon","H",{"code":46,"slug":47,"name":48,"path":49,"parent_code":44},"H6","biodiversity","生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity",{"status":51,"locked":52,"version":53,"method":54,"evidence":55},"classified",false,"2026-10-22.2","rules",{"candidates":56,"agricultural_evidence":14},[57,62,68,75],{"code":33,"score":58,"supported":14,"title":59,"abstract":60,"tags":61},11,[34],[34],[],{"code":46,"score":13,"supported":14,"title":63,"abstract":64,"tags":67},[],[65,66,47],"生物多样性","农业生态",[28],{"code":40,"score":69,"supported":14,"title":70,"abstract":71,"tags":74},8,[],[72,73],"碳汇","carbon sequestration",[26,27],{"code":76,"score":77,"supported":14,"title":78,"abstract":79,"tags":81},"G2",3,[],[80],"smallholder",[],[83,84],"海南 山栏稻 碳标签","山栏稻 碳交易 生态补偿","海南山栏稻碳标签-3815",2,"10.3389\u002Ffsufs.2026.1969345",{"doi":87,"openalex_id":89,"authors":90,"venue":10,"cited_by_count":106,"oa_url":6,"card":107,"direction":111,"ingested_from":113},"W7214741801",[91,93,95,98,100,102,104],{"name":92,"orcid":9},"Qimin Cao",{"name":94,"orcid":9},"易伟鹏",{"name":96,"orcid":97},"Tao Guo","https:\u002F\u002Forcid.org\u002F0000-0003-0587-4762",{"name":99,"orcid":9},"Chuanliang Fu",{"name":101,"orcid":9},"Zhijun Zhang",{"name":103,"orcid":9},"Wen Zhang",{"name":105,"orcid":9},"Yujia Wu",0,{"tldr":108,"method":109,"finding":110,"direction":111,"opportunity":112},"分析海南山栏稻碳标签与碳交易试点，评估其作为传统作物保护市场激励的效果。","基于UNDP-GEF项目文件、访谈与核证数据，对比碳机制与公共生态补偿。","碳收益仅约7元\u002F亩，为公共补偿的3%，只能补充而非替代公共补偿。","农业绿色发展与碳","小农户传统农业碳汇计量与碳市场激励的长期制度设计及实测验证研究。","openalex","2026-09-30T23:30:07.250289Z",{"total":116,"page":21,"page_size":116,"items":117},6,[118,207,282,394,465,538],{"id":119,"title":120,"url":121,"summary":122,"summary_zh":123,"content":9,"source_name":10,"source_url":121,"published_at":124,"category":12,"cover_url":9,"hotness":13,"is_selected":52,"score":125,"score_detail":126,"sources":130,"tags":132,"primary_topic":137,"secondary_topics":138,"classification":140,"search_phrases":177,"slug":180,"view_count":77,"doi":181,"paper":182,"created_at":206},3268,"Integrating agrarian differentiation and labor mobility into TAPE-based assessments of agroecology. A methodological exploration in the Cambodian rice sector","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1940600","Agroecology is increasingly considered to be a promising pathway to more sustainable agriculture. The Tool for Agroecology Performance Evaluation (TAPE) is a multiscale interdisciplinary assessment framework that helps tackle the complexity of such transitions. We critically engaged with TAPE and explored ways to enhance the approach based on empirical case studies conducted in Cambodia, in two rice-based agricultural landscapes with contrasted degrees of agricultural intensification. We complemented the TAPE framework by clarifying and operationalizing perspectives on the political-economic dynamics of agrarian change, including the reconstruction of agrarian history, a farming-system typology based on the distribution of land, and other assets and explicit consideration of off-farm work and migration. We then assessed TAPE at the local level, using focus group discussions with farmers’ collectives, in-depth household surveys, and interviews with village authorities and public administration at the local and provincial levels. The study helped frame agroecological performance from the perspective of the recent agrarian dynamics that have emerged in each area and have largely favored conventional agriculture models that rely on synthetic agro-chemicals and mechanization to achieve higher production and exports. This modernization pathway has unfolded in both landscapes and has resulted in rapid differentiation between smallholder farming households in terms of asset structure and labor processes. Our approach provides a basis for understanding why farmers’ production logic, constraints, and opportunities to engage time and resources in more sustainable farming practices vary considerably between and within landscapes. We argue that enriching the TAPE approach with such political-economic questions of agrarian changes makes it possible to link scales and to understand how agrarian modernization intersects with transition to agroecology. We see it as an important component for tailoring meaningful policies and practices that embrace the daily labor realities of smallholder farming households.","农业生态学日益被视为通往更可持续农业的一条有前景的路径。农业生态绩效评估工具（Tool for Agroecology Performance Evaluation, TAPE）是一个多尺度、跨学科的评估框架，有助于应对此类转型的复杂性。我们以批判性的态度参与TAPE，并基于在柬埔寨两个水稻农业景观中开展的实证案例研究——这两个景观的农业集约化程度形成鲜明对比——探索改进该方法的途径。我们通过澄清并操作化关于农业变革的政治经济动态的视角，对TAPE框架进行了补充，包括重建农业历史、基于土地及其他资产分布的耕作系统类型学，以及明确考虑非农就业与迁移。随后，我们在地方层面评估了TAPE，采用的方法包括与农民集体的焦点小组讨论、深入的农户调查，以及对村级权威机构和地方及省级公共行政部门的访谈。该研究有助于从各区域近期出现的农业动态视角来构建农业生态绩效的框架，而这些动态在很大程度上有利于依赖合成农用化学品和机械化以实现更高产量和出口的传统农业模式。这一现代化路径在两个景观中均已展开，并导致小农家庭在资产结构和劳动过程方面迅速分化。我们的方法为理解为何农民的生产逻辑、约束条件以及投入时间和资源参与更可持续农业实践的机会在景观之间和景观内部存在显著差异提供了基础。我们认为，以此类关于农业变革的政治经济问题来丰富TAPE方法，使得连接不同尺度并理解农业现代化如何与农业生态转型相交成为可能。我们将其视为制定有意义且能包容小农家庭日常劳动现实的政策与实践的重要组成部分。","2026-09-22T00:00:00Z",69,{"impact":69,"substance":127,"depth":17,"authority":128,"freshness":20,"relevant":21,"comment":129},21,13,"基于柬埔寨水稻区的实证方法探索，对农业生态评估框架有实质改进，但属区域性学术研究，公共影响有限。",[131],{"name":10,"url":121},[35,133,134,135,136],"小农经济","农业生态学","柬埔寨","农业劳动力",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[139],{"code":46,"slug":47,"name":48,"path":49,"parent_code":44},{"status":51,"locked":52,"version":53,"method":54,"evidence":141},{"candidates":142,"agricultural_evidence":14},[143,148,153,160,165,171],{"code":33,"score":144,"supported":14,"title":145,"abstract":146,"tags":147},15,[34],[35,34],[35],{"code":46,"score":144,"supported":14,"title":149,"abstract":151,"tags":152},[150],"agroecology",[66,150],[134],{"code":154,"score":116,"supported":14,"title":155,"abstract":156,"tags":159},"H8",[],[157,158],"可持续农业","sustainable agriculture",[],{"code":76,"score":161,"supported":14,"title":162,"abstract":163,"tags":164},4,[],[80],[133],{"code":166,"score":77,"supported":14,"title":167,"abstract":168,"tags":170},"F5",[],[169],"机械化",[],{"code":172,"score":77,"supported":14,"title":173,"abstract":174,"tags":176},"J2",[],[175],"农业现代化",[],[178,179],"TAPE 农业生态评估 柬埔寨 水稻","农业劳动力 农业生态学 小农经济 柬埔寨","TAPE农业生态评估柬埔寨水稻-3268","10.3389\u002Ffsufs.2026.1940600",{"doi":181,"openalex_id":183,"authors":184,"venue":10,"cited_by_count":106,"oa_url":121,"card":200,"direction":204,"ingested_from":113},"W7214023979",[185,188,191,194,196,198],{"name":186,"orcid":187},"Titouan Filloux","https:\u002F\u002Forcid.org\u002F0000-0002-3577-7368",{"name":189,"orcid":190},"Jean‐Christophe Diepart","https:\u002F\u002Forcid.org\u002F0000-0001-8979-0632",{"name":192,"orcid":193},"Mathilde Sester","https:\u002F\u002Forcid.org\u002F0000-0002-2329-9119",{"name":195,"orcid":9},"Rada Kong",{"name":197,"orcid":9},"Sreymom Sieng",{"name":199,"orcid":9},"Florent Tivet",{"tldr":201,"method":202,"finding":203,"direction":204,"opportunity":205},"将农业分化与劳动力流动纳入TAPE框架，在柬埔寨稻作区做方法学探索。","重构农业史、农户类型学、焦点小组、入户调查与访谈。","农业现代化加剧小农分化，劳动力流动塑造了生态农业转型的差异。","数字乡村与农业信息化","可将政治经济分化变量数字化，构建农户异质性与生态农业转型的评估模型。","2026-09-23T23:30:07.534077Z",{"id":208,"title":209,"url":210,"summary":211,"summary_zh":212,"content":9,"source_name":10,"source_url":210,"published_at":213,"category":12,"cover_url":9,"hotness":13,"is_selected":52,"score":214,"score_detail":215,"sources":218,"tags":220,"primary_topic":225,"secondary_topics":226,"classification":228,"search_phrases":257,"slug":260,"view_count":86,"doi":261,"paper":262,"created_at":281},2133,"Agroecological transition and performance evaluation of rice farms in northern Benin based on the FAO TAPE framework","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1913786","Introduction Rice production systems in northern Benin face major challenges related to productivity, dependence on external inputs, and long-term sustainability. However, their agroecological transition pathways and multidimensional performance remain insufficiently documented. Methods This study applied the Food and Agriculture Organization’s Tool for Agroecology Performance Evaluation (TAPE) to assess 438 rice farms classified into three production systems: Lowland Rice Systems (LRS), Rainfed Rice Systems (RRS), and Irrigated Rice Systems (IRS), using socio-economic, agronomic, and environmental indicators. Results TAPE Step 1, the Characterization of Agroecological Transition (CAET), revealed significant differences among production systems (Kruskal–Wallis test, p \u003C 0.05). IRS exhibited the highest agroecological transition, with six of the 10 Elements of Agroecology scoring above 50%, particularly Diversity (75%), Efficiency (60%), Recycling (60%), Synergies (55%), and Resilience (56%). RRS achieved an intermediate CAET score (40%), characterized by stronger performance in Diversity (55%), Circular & Solidarity Economy (50%), and Resilience (50%), but lower scores for Synergies, Efficiency, Responsible Governance, and Co-creation of Knowledge. LRS recorded the lowest CAET score (32%), with consistently low scores across most agroecological elements. Pairwise comparisons indicated significantly higher CAET scores in IRS than in LRS and RRS, whereas LRS and RRS did not differ significantly. TAPE Step 2 highlighted substantial heterogeneity among the 438 farms. The overall Performance Index ranged from -2 to +5, with a median of 0. Most farms performed well in Productivity and Added Value, while the majority exhibited undesirable performance for Income, Agricultural Biodiversity, and Soil Health. Discussion Agroecological transition is uneven and structurally differentiated across rice production systems in northern Benin. Although RRS displayed intermediate CAET scores, its overall transition level was not statistically distinguishable from LRS because of considerable within-system variability. The study confirms the relevance of TAPE as a robust diagnostic tool for identifying context-specific transition pathways and guiding agroecological strategies for sustainable rice production in West Africa.","引言 贝宁北部的稻作生产系统在生产能力、对外部投入的依赖以及长期可持续性方面面临重大挑战。然而，其农业生态转型路径及多维绩效仍缺乏充分记录。方法 本研究应用联合国粮食及农业组织的农业生态绩效评估工具（TAPE），利用社会经济、农艺和环境指标，对438个稻田农场进行评估，并将其分为三种生产系统：低地稻作系统（LRS）、雨养稻作系统（RRS）和灌溉稻作系统（IRS）。结果 TAPE第一步——农业生态转型特征描述（CAET）——揭示了不同生产系统之间的显著差异（Kruskal–Wallis检验，p \u003C 0.05）。IRS表现出最高的农业生态转型水平，在农业生态学10要素中有6项得分超过50%，尤其是多样性（75%）、效率（60%）、循环利用（60%）、协同作用（55%）和韧性（56%）。RRS的CAET得分为中等水平（40%），其特征是在多样性（55%）、循环与团结经济（50%）和韧性（50%）方面表现较强，但在协同作用、效率、负责任治理和知识共创方面得分较低。LRS的CAET得分最低（32%），在大多数农业生态要素上得分持续偏低。两两比较表明，IRS的CAET得分显著高于LRS和RRS，而LRS与RRS之间无显著差异。TAPE第二步揭示了438个农场之间存在显著异质性。总体绩效指数范围为-2至+5，中位数为0。大多数农场在生产力和附加值方面表现良好，而多数农场在收入、农业生物多样性和土壤健康方面表现不理想。讨论 贝宁北部稻作生产系统的农业生态转型不均衡，且存在结构性分化。尽管RRS显示出中等的CAET得分，但由于系统内变异性较大，其总体转型水平与LRS在统计上无法区分。本研究证实了TAPE作为一种稳健诊断工具的相关性，可用于识别因地制宜的转型路径，并指导西非可持续稻作生产的农业生态策略。","2026-09-10T00:00:00Z",76,{"impact":144,"substance":216,"depth":17,"authority":128,"freshness":69,"relevant":21,"comment":217},22,"基于FAO TAPE框架对贝宁北部438个水稻农场进行多维评估，方法规范、数据扎实，对生态农业转型评价具有参考价值，但属区域案例研究，公共影响范围有限。",[219],{"name":10,"url":210},[157,221,222,223,224],"水稻种植","生态农业","农业评价体系","西非农业",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[227],{"code":46,"slug":47,"name":48,"path":49,"parent_code":44},{"status":51,"locked":52,"version":53,"method":54,"evidence":229},{"candidates":230,"agricultural_evidence":14},[231,236,240,247,253],{"code":33,"score":144,"supported":14,"title":232,"abstract":233,"tags":235},[34],[234,34],"稻田",[221],{"code":46,"score":20,"supported":14,"title":237,"abstract":238,"tags":239},[],[65,66,47,150],[],{"code":241,"score":116,"supported":14,"title":242,"abstract":243,"tags":246},"H2",[],[244,245],"土壤","soil",[],{"code":248,"score":77,"supported":14,"title":249,"abstract":250,"tags":252},"H3",[],[251],"灌溉",[],{"code":154,"score":86,"supported":52,"title":254,"abstract":255,"tags":256},[],[],[157,222],[258,259],"农业评价体系 可持续农业 水稻种植 生态农业","农业评价体系 可持续农业","农业评价体系可持续农业水稻种植生态农业-2133","10.3389\u002Ffsufs.2026.1913786",{"doi":261,"openalex_id":263,"authors":264,"venue":10,"cited_by_count":106,"oa_url":210,"card":276,"direction":111,"ingested_from":113},"W7212143237",[265,267,269,271,273],{"name":266,"orcid":9},"Soufianou S. Kibissa",{"name":268,"orcid":9},"Ismainou A. Gbago",{"name":270,"orcid":9},"Bernus Z. Djigbe",{"name":272,"orcid":9},"Pierre G. Tovihoudji",{"name":274,"orcid":275},"Rodrigue V.C. Diogo","https:\u002F\u002Forcid.org\u002F0000-0002-5348-5588",{"tldr":277,"method":278,"finding":279,"direction":111,"opportunity":280},"用FAO TAPE框架评估贝宁北部438个水稻农场的生态农业转型与多维表现。","FAO TAPE框架，438个农场分三类系统，社会经济农艺环境指标。","灌溉系统转型最高，雨养与低地无显著差异；收入、生物多样性和土壤健康普遍不佳。","可结合遥感与物联网长时序监测，量化TAPE指标动态，弥补单次调查的时空局限。","2026-09-11T23:30:08.063114Z",{"id":283,"title":284,"url":285,"summary":286,"summary_zh":287,"content":9,"source_name":10,"source_url":285,"published_at":288,"category":12,"cover_url":9,"hotness":13,"is_selected":52,"score":289,"score_detail":290,"sources":295,"tags":297,"primary_topic":302,"secondary_topics":305,"classification":312,"search_phrases":367,"slug":370,"view_count":106,"doi":371,"paper":372,"created_at":393},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。","2026-10-20T00:00:00Z",70,{"impact":291,"substance":292,"depth":293,"authority":128,"freshness":20,"relevant":21,"comment":294},12,20,16,"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。",[296],{"name":10,"url":285},[298,27,299,300,301],"气候智慧农业","干旱农业","土壤碳汇","作物选择",{"code":241,"slug":245,"name":303,"path":304,"parent_code":44},"土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",[306,311],{"code":307,"slug":308,"name":309,"path":310,"parent_code":44},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"status":51,"locked":52,"version":53,"method":54,"evidence":313},{"candidates":314,"agricultural_evidence":14},[315,319,326,331,338,345,351,357,361],{"code":241,"score":19,"supported":14,"title":316,"abstract":317,"tags":318},[245],[244,245],[],{"code":307,"score":13,"supported":14,"title":320,"abstract":321,"tags":325},[],[322,323,324],"气候变化","干旱","climate change",[298],{"code":40,"score":69,"supported":14,"title":327,"abstract":328,"tags":330},[],[329,73],"农业碳",[300,27],{"code":332,"score":116,"supported":14,"title":333,"abstract":334,"tags":337},"A2",[],[335,336],"小麦","wheat",[],{"code":339,"score":116,"supported":14,"title":340,"abstract":341,"tags":344},"B1",[],[342,343],"番茄","黄瓜",[],{"code":346,"score":77,"supported":14,"title":347,"abstract":348,"tags":350},"A5",[],[349],"马铃薯",[],{"code":352,"score":77,"supported":14,"title":353,"abstract":354,"tags":356},"B2",[],[355],"葡萄",[],{"code":46,"score":77,"supported":14,"title":358,"abstract":359,"tags":360},[],[66],[],{"code":362,"score":77,"supported":14,"title":363,"abstract":364,"tags":366},"I1",[],[365],"smart agriculture",[],[368,369],"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":371,"openalex_id":373,"authors":374,"venue":10,"cited_by_count":106,"oa_url":285,"card":387,"direction":392,"ingested_from":113},"W7223064172",[375,377,379,382,384],{"name":376,"orcid":9},"Tasnim Althalaj",{"name":378,"orcid":9},"Ross. M. Thompson",{"name":380,"orcid":381},"Tala H. Qtaishat","https:\u002F\u002Forcid.org\u002F0000-0002-2700-6686",{"name":383,"orcid":9},"Dan Bumblauskas",{"name":385,"orcid":386},"Fayha Al-Shibli","https:\u002F\u002Forcid.org\u002F0000-0002-5628-0975",{"tldr":388,"method":389,"finding":390,"direction":111,"opportunity":391},"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。","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":395,"title":396,"url":397,"summary":398,"summary_zh":399,"content":9,"source_name":10,"source_url":397,"published_at":400,"category":12,"cover_url":9,"hotness":13,"is_selected":52,"score":401,"score_detail":402,"sources":404,"tags":406,"primary_topic":411,"secondary_topics":412,"classification":414,"search_phrases":443,"slug":446,"view_count":21,"doi":447,"paper":448,"created_at":464},3531,"Extreme climate shocks and agricultural net carbon sinks: the moderating role of supply chain resilience in China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1940685","Introduction Extreme climate shocks increasingly challenge the ability of agricultural systems to sustain crop carbon fixation while controlling production-related emissions. Methods Using panel data for 240 Chinese cities from 2002 to 2023, this study examines the relationships between four climate shocks—extreme high temperature (HTD), extreme low temperature (LTD), extreme rainfall (ERD), and extreme drought (EED)—and agricultural net carbon sinks (NCS), together with the moderating role of agricultural supply chain resilience. NCS is measured as annual crop-biomass carbon fixation net of selected agricultural production emissions, thereby providing an integrated, production-based indicator of agricultural carbon performance. Results Two-way fixed-effects estimates show that all four climate shocks are negatively associated with NCS, and the direction of these relationships remains stable across alternative accounting boundaries, sample adjustments, leave-one-province-out tests, and double machine learning specifications. Agricultural supply chain resilience significantly conditions the climate–carbon relationship. Its resistance, recovery, and reorientation capacities attenuate the adverse associations of high-temperature, extreme-rainfall, and drought shocks with NCS. The low-temperature result further indicates that the effectiveness of resilience depends on matching supply chain functions with the biological mechanisms and intervention windows of specific climate hazards. Heterogeneity analyses confirm that climate sensitivity and resilience requirements vary with regional location, agricultural productivity, modernization, and irrigation conditions. Complementary machine-learning analysis identifies nonlinear predictive patterns and reinforces the importance of differentiated adaptation. Discussion These findings extend agricultural climate research from production and emissions to an integrated carbon-balance perspective and demonstrate that hazard-specific supply chain resilience can support both climate adaptation and low-carbon agricultural development.","引言 极端气候冲击日益挑战农业系统在维持作物碳固定的同时控制生产相关排放的能力。方法 本研究利用2002年至2023年中国240个城市的面板数据，考察四种气候冲击——极端高温（HTD）、极端低温（LTD）、极端降雨（ERD）和极端干旱（EED）——与农业净碳汇（NCS）之间的关系，以及农业供应链韧性的调节作用。NCS以年度作物生物量碳固定量扣除部分农业生产排放量来衡量，从而提供一个基于生产的综合性农业碳绩效指标。结果 双向固定效应估计表明，四种气候冲击均与NCS呈负相关，且这些关系的方向在替代核算边界、样本调整、逐一剔除省份检验和双重机器学习设定下均保持稳定。农业供应链韧性显著调节气候—碳关系。其抵抗能力、恢复能力和重新定向能力减弱了高温、极端降雨和干旱冲击与NCS之间的不利关联。低温结果进一步表明，韧性的有效性取决于供应链功能与特定气候灾害的生物机制及干预窗口的匹配。异质性分析证实，气候敏感性和韧性需求因区域位置、农业生产率、现代化水平和灌溉条件而异。补充性机器学习分析识别出非线性预测模式，并强化了差异化适应的重要性。讨论 这些发现将农业气候研究从生产和排放拓展至综合碳平衡视角，并表明针对特定灾害的供应链韧性能够同时支持气候适应和农业低碳发展。","2026-09-25T00:00:00Z",80,{"impact":17,"substance":216,"depth":17,"authority":128,"freshness":20,"relevant":21,"comment":403},"基于240城22年面板数据的实证研究，方法扎实、结论稳健，对农业气候适应与低碳发展有参考价值，但属学术论文，公共传播性有限。",[405],{"name":10,"url":397},[407,408,409,410,26],"智慧农业","农业供应链","低碳农业","气候韧性",{"code":307,"slug":308,"name":309,"path":310,"parent_code":44},[413],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"status":51,"locked":52,"version":53,"method":54,"evidence":415},{"candidates":416,"agricultural_evidence":14},[417,423,427,432,439],{"code":307,"score":13,"supported":14,"title":418,"abstract":419,"tags":422},[],[420,323,421],"气候适应","drought",[410],{"code":40,"score":69,"supported":14,"title":424,"abstract":425,"tags":426},[],[72,329],[409,26],{"code":248,"score":116,"supported":14,"title":428,"abstract":429,"tags":431},[],[251,430],"irrigation",[],{"code":433,"score":116,"supported":14,"title":434,"abstract":435,"tags":438},"I2",[],[436,437],"机器学习","machine learning",[],{"code":362,"score":21,"supported":52,"title":440,"abstract":441,"tags":442},[],[],[407],[444,445],"中国 农业净碳汇 极端气候","农业供应链韧性 气候适应","中国农业净碳汇极端气候-3531","10.3389\u002Ffsufs.2026.1940685",{"doi":447,"openalex_id":449,"authors":450,"venue":10,"cited_by_count":106,"oa_url":397,"card":459,"direction":111,"ingested_from":113},"W7214310732",[451,453,456],{"name":452,"orcid":9},"Chunyan Zhao",{"name":454,"orcid":455},"Jiajie Xia","https:\u002F\u002Forcid.org\u002F0000-0003-3225-0154",{"name":457,"orcid":458},"Guoping Ding","https:\u002F\u002Forcid.org\u002F0000-0002-4865-5044",{"tldr":460,"method":461,"finding":462,"direction":111,"opportunity":463},"基于240个城市2002-2023年面板数据，检验四类极端气候冲击对农业净碳汇的影响及供应链韧性的调","双向固定效应模型、双重机器学习，240城市面板数据，农业净碳汇指标。","四类极端气候冲击均降低农业净碳汇，供应链韧性可显著缓解高温、暴雨和干旱的负面影响。","可探究不同气候灾害下供应链韧性功能与生物机制匹配的差异化适应策略及非线性预测。","2026-09-26T23:30:07.569768Z",{"id":466,"title":467,"url":468,"summary":469,"summary_zh":470,"content":9,"source_name":10,"source_url":468,"published_at":471,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":472,"sources":475,"tags":477,"primary_topic":482,"secondary_topics":483,"classification":484,"search_phrases":516,"slug":519,"view_count":161,"doi":520,"paper":521,"created_at":537},2028,"Carbon trading and agricultural green total factor productivity: evidence from China’s pilot carbon market and the mediating role of mechanization","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1922103","Agriculture is both a major source of greenhouse gas emissions and highly vulnerable to climate-related risks, yet the implications of carbon pricing for agricultural sustainability remain insufficiently understood. This study examines the effect of China’s carbon trading pilot policy (CTPP) on agricultural green total factor productivity (AGTFP) using a difference-in-differences (DID) model and panel data covering 30 provinces from 2005 to 2022. AGTFP is measured using the SBM–GML index, with agricultural carbon emissions treated as an undesirable output. The baseline results show that the CTPP increases AGTFP by 0.1351 units, equivalent to 18.3% of the sample mean. Given the staggered adoption of the policy, the robustness of this finding is further assessed using the heterogeneity-robust Callaway–Sant’Anna estimator. The resulting estimate remains positive and statistically significant, although cohort-specific pre-treatment variation warrants cautious interpretation. The mediation results suggest that agricultural mechanization, measured by the comprehensive mechanization rate of crop plowing, sowing, and harvesting (AMR), may constitute a potential transmission channel. The Sobel test provides marginal evidence of an indirect effect at the 10% significance level. Regional estimates are positive and statistically significant in eastern and western China but statistically insignificant in central China. These findings provide new evidence that carbon pricing directed at industrial emitters may generate spillovers to agricultural productivity and highlight the importance of coordinating carbon-market development with sustainable agricultural policy.","农业既是温室气体排放的主要来源，又高度易受气候相关风险的影响，然而碳定价对农业可持续性的影响仍缺乏充分认识。本研究利用双重差分（DID）模型和2005—2022年中国30个省份的面板数据，考察中国碳交易试点政策（CTPP）对农业绿色全要素生产率（AGTFP）的影响。AGTFP采用SBM–GML指数测算，并将农业碳排放作为非期望产出处理。基准结果显示，CTPP使AGTFP提高0.1351个单位，相当于样本均值的18.3%。鉴于该政策为交错实施，本文进一步使用对异质性稳健的Callaway–Sant’Anna估计量评估上述发现的稳健性。所得估计值仍为正且具有统计显著性，但各队列处理前差异需谨慎解读。中介结果表明，以农作物耕种收综合机械化率（AMR）衡量的农业机械化可能构成潜在传导渠道。Sobel检验在10%显著性水平上提供了间接效应存在的边际证据。分区域估计显示，东部和西部地区效应为正且具有统计显著性，中部地区则不具统计显著性。上述发现提供了新证据，表明针对工业排放主体的碳定价可能对农业生产率产生溢出效应，并凸显了协调碳市场发展与可持续农业政策的重要性。","2026-09-09T00:00:00Z",{"impact":216,"substance":216,"depth":473,"authority":128,"freshness":69,"relevant":21,"comment":474},17,"基于中国碳交易试点与30省面板数据的DID研究，证实碳定价对农业绿色全要素生产率存在正向溢出效应，方法规范、结论有新意，对农业绿色低碳政策有参考价值。",[476],{"name":10,"url":468},[478,479,480,481,27],"农业机械化","农业绿色发展","农业碳排放","绿色全要素生产率",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},[],{"status":51,"locked":52,"version":53,"method":54,"evidence":485},{"candidates":486,"agricultural_evidence":14},[487,492,498,505,512],{"code":40,"score":20,"supported":14,"title":488,"abstract":489,"tags":491},[],[490,329],"碳排放",[480,479,27,481],{"code":166,"score":493,"supported":14,"title":494,"abstract":495,"tags":497},7,[],[496,169],"农业机械",[478],{"code":499,"score":116,"supported":14,"title":500,"abstract":501,"tags":504},"B7",[],[502,503],"温室","greenhouse",[],{"code":506,"score":116,"supported":14,"title":507,"abstract":508,"tags":511},"J1",[],[509,510],"农业政策","agricultural policy",[],{"code":154,"score":161,"supported":14,"title":513,"abstract":514,"tags":515},[],[157],[479],[517,518],"绿色全要素生产率 农业绿色发展 农业机械化 农业碳排放","绿色全要素生产率 农业绿色发展","绿色全要素生产率农业绿色发展农业机械化农业碳排放-2028","10.3389\u002Ffsufs.2026.1922103",{"doi":520,"openalex_id":522,"authors":523,"venue":10,"cited_by_count":106,"oa_url":468,"card":532,"direction":111,"ingested_from":113},"W7211993243",[524,526,529],{"name":525,"orcid":9},"Jiayi Hou",{"name":527,"orcid":528},"Alessandra Castellini","https:\u002F\u002Forcid.org\u002F0000-0002-1750-4817",{"name":530,"orcid":531},"Fujiang Huang","https:\u002F\u002Forcid.org\u002F0000-0001-8567-6867",{"tldr":533,"method":534,"finding":535,"direction":111,"opportunity":536},"评估中国碳交易试点政策对农业绿色全要素生产率的影响及其机械化中介机制。","2005-2022年30省面板数据，SBM-GML测度AGTFP，DID与Cal","碳交易试点使AGTFP提高0.1351单位（约18.3%），机械化是潜在中介，东部和西部显著、中部不","可深入探究碳市场对农业的溢出机制，并检验机械化之外的其他中介路径及中部失效原因。","2026-09-10T23:30:07.179345Z",{"id":539,"title":540,"url":541,"summary":542,"summary_zh":9,"content":9,"source_name":543,"source_url":9,"published_at":544,"category":12,"cover_url":9,"hotness":13,"is_selected":52,"score":545,"score_detail":546,"sources":548,"tags":550,"primary_topic":552,"secondary_topics":553,"classification":554,"search_phrases":575,"slug":578,"view_count":86,"doi":9,"paper":579,"created_at":587},1819,"农业低碳转型视角下的数字农技服务体系：基于大晓智能无人农技服务平台的实证分析","https:\u002F\u002Fwww.cet.com.cn\u002Fitpd\u002Fitxw\u002F10537121.shtml","以上海大晓智能无人农技服务平台为研究载体，依托天-空-地-人-机多源感知体系与农业垂直大模型底层架构，系统梳理平台助力农业降碳、土壤碳平衡测算的技术路径与分层服务模式。结合大田生产、农场管理多场景实证数据量化分析平台减污降碳成效，数字农技服务平台构建起\"监测—测算—决策—减排\"闭环管理模式，既能为各地县域、规模化种植基地打造数字化低碳农业提供落地参考，也能够丰富农业碳循环与智慧农业交叉学科的实证研究样本。","中国经济新闻网2026年9月","2026-09-04T00:00:00Z",72,{"impact":17,"substance":292,"depth":17,"authority":13,"freshness":116,"relevant":21,"comment":547},"实证分析数字农技平台减碳成效，具行业参考价值。",[549],{"name":543,"url":541},[407,409,551,26],"数字农技",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},[],{"status":51,"locked":52,"version":53,"method":54,"evidence":555},{"candidates":556,"agricultural_evidence":14},[557,562,566,570],{"code":40,"score":558,"supported":14,"title":559,"abstract":560,"tags":561},5,[],[329],[409,26],{"code":362,"score":161,"supported":14,"title":563,"abstract":564,"tags":565},[],[407],[407],{"code":241,"score":77,"supported":14,"title":567,"abstract":568,"tags":569},[],[244],[],{"code":433,"score":77,"supported":14,"title":571,"abstract":572,"tags":574},[],[573],"大模型",[],[576,577],"低碳农业 农业碳汇 数字农技 智慧农业","低碳农业 农业碳汇","低碳农业农业碳汇数字农技智慧农业-1819",{"doi":9,"openalex_id":9,"authors":580,"venue":9,"cited_by_count":106,"oa_url":9,"card":581,"direction":111,"ingested_from":586},[],{"tldr":582,"method":583,"finding":584,"direction":111,"opportunity":585},"实证分析数字农技服务平台如何通过多源感知与垂直大模型助力农业降碳，构建闭环管理模式。","依托天-空-地-人-机多源感知体系与农业垂直大模型，结合多场景实证数据量化分析。","平台构建“监测—测算—决策—减排”闭环，有效减污降碳，提供落地参考。","可延伸研究数字农技服务在不同作物、区域下的碳减排差异，以及平台模式与农户采纳行为的耦合机制。","agent","2026-09-07T00:04:41.769592Z"]