[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4593":3,"related-4593":91},{"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":39,"search_phrases":67,"slug":70,"view_count":63,"doi":71,"paper":72,"created_at":90},4593,"Climate Resilience and the Hydro-Vegetal Paradox in El Bayadh Province (Algeria, 1984-2023)","https:\u002F\u002Fdoi.org\u002F10.56093\u002Faaz.v65i3.177509","The decade 2010 to 2020 was the warmest ever recorded in the Mediterranean basin (+1.5°C), exceeding the global average. North Africa, identified as a vulnerability hotspot by the IPCC AR6, experiences intensified droughts and ecosystem degradation. This study presents the first quantitative assessment of climate resilience in El Bayadh Province (Algeria), revealing an unexpected hydro-vegetal paradox. A comparative multi-index methodology (restricted climate index vs. global index integrating 7 variables) was applied to 22 municipalities over the period of 1984 to 2023. The results showed a universal degradation of water balance (-8.2 to -21.4 mm yr-1) and widespread warming (+0.8 to +2.1°C decade-1). Paradoxically, 73 to 77% of municipalities showed improvement in vegetation indices (NDVI, SAVI), suggesting ecological adaptation. Principal component analysis (PCA-99%) variance explained) identified water stress as the main differentiating factor, and clustering distinguishes 5 territorial profiles (silhouette = 0.521). The global index proves more discriminant than the restricted index for capturing the complexity of socio-ecological dynamics. This study highlights the need for differentiated adaptation policies addressing challenges related to water, food security, and migration.","2010年至2020年是有记录以来地中海盆地最暖的十年（升温+1.5°C），超过了全球平均水平。北非被IPCC第六次评估报告（AR6）确定为脆弱性热点地区，正经历着加剧的干旱和生态系统退化。本研究首次对阿尔及利亚埃尔贝伊德省（El Bayadh Province）的气候韧性进行了定量评估，揭示了一个意想不到的水文-植被悖论。研究采用比较多指标方法（限制性气候指数与整合7个变量的全局指数），对22个市镇在1984年至2023年期间进行了分析。结果表明，水平衡普遍退化（-8.2至-21.4 mm yr⁻¹），且普遍升温（+0.8至+2.1°C decade⁻¹）。悖论的是，73%至77%的市镇植被指数（NDVI、SAVI）有所改善，表明存在生态适应。主成分分析（PCA，方差解释率达99%）确定水分胁迫为主要区分因子，聚类分析区分出5种地域类型（轮廓系数=0.521）。在捕捉社会-生态动态复杂性方面，全局指数比限制性指数更具判别力。本研究强调了制定差异化适应政策的必要性，以应对与水、粮食安全和移民相关的挑战。",null,"Annals of Arid Zone","2026-10-08T00:00:00Z","论文",10,false,74,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},12,22,18,13,9,1,"基于22个市镇40年多指标遥感数据的干旱区气候韧性定量研究，方法新颖、结论有反差价值，但属区域案例研究，公共影响层级有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"NDVI","气候适应","遥感监测","干旱区农业","水资源安全",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":47},[45,53,61],{"code":33,"score":46,"supported":47,"title":48,"abstract":50,"tags":52},16,true,[49],"climate resilience",[51,49],"干旱",[30,28],{"code":54,"score":55,"supported":47,"title":56,"abstract":57,"tags":60},"A8",6,[],[58,59],"粮食安全","food security",[],{"code":62,"score":63,"supported":14,"title":64,"abstract":65,"tags":66},"I3",2,[],[],[27,29],[68,69],"El Bayadh 阿尔及利亚 气候韧性","NDVI 植被指数 干旱区","ElBayadh阿尔及利亚气候韧性-4593","10.56093\u002Faaz.v65i3.177509",{"doi":71,"openalex_id":73,"authors":74,"venue":10,"cited_by_count":81,"oa_url":82,"card":83,"direction":87,"ingested_from":89},"W7220949140",[75,78],{"name":76,"orcid":77},"Lakhdar Guérine","https:\u002F\u002Forcid.org\u002F0000-0003-0836-2703",{"name":79,"orcid":80},"Naîmi Bendouina","https:\u002F\u002Forcid.org\u002F0000-0002-9776-1660",0,"http:\u002F\u002Fepubs.icar.org.in\u002Findex.php\u002FAAZ\u002Farticle\u002Fdownload\u002F177509\u002F68050",{"tldr":84,"method":85,"finding":86,"direction":87,"opportunity":88},"首次量化阿尔及利亚El Bayadh省1984-2023年气候韧性，揭示水-植被悖论。","多指标对比法（限制性气候指数与7变量全球指数），对22个市镇做PCA和聚类。","水均衡普遍恶化、升温显著，但73-77%市镇植被指数改善，呈生态适应悖论。","农业遥感与作物表型","可探究干旱区NDVI改善的驱动机制（灌溉、物种更替或遥感尺度效应），并耦合社会经济数据。","openalex","2026-10-10T23:30:29.597640Z",{"total":55,"page":22,"page_size":55,"items":92},[93,152,225,320,386,443],{"id":94,"title":95,"url":96,"summary":97,"summary_zh":98,"content":9,"source_name":99,"source_url":96,"published_at":100,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":101,"score_detail":102,"sources":104,"tags":106,"primary_topic":109,"secondary_topics":110,"classification":111,"search_phrases":131,"slug":134,"view_count":22,"doi":135,"paper":136,"created_at":151},4756,"ديناميكيات وحساسية المناخ والغطاء النباتي في العراق باستخدام بيانات رصد الأرض طويلة الأمد","https:\u002F\u002Fdoi.org\u002F10.66026\u002Fy7543b35","تؤدي تغيرات المناخ إلى تكثيف الإجهاد الحراري والمائي عبر المناطق الجافة، مما يزيد من الحاجة إلى رصد متسق مكانياً وطويل الأمد لاستجابات الغطاء النباتي. العراق معرض بشكل خاص لهذه التغيرات لأن التدرجات المناخية القوية، والجفاف المتكرر، ومحدودية توافر المياه تتزامن مع مساحات شاسعة من الأراضي المطرية والمروية. قامت هذه الدراسة بتقييم ديناميكيات المناخ والغطاء النباتي في العراق من عام 2001 إلى 2025 باستخدام مؤشر الاختلاف الغطائي النباتي الطبيعي (MODIS NDVI)، وبيانات هطول الأمطار (CHIRPS)، وبيانات درجة حرارة الهواء على ارتفاع مترين (ERA5-Land). تم تحليل متوسط هطول الأمطار للفترة من أكتوبر إلى مايو، واتجاهات مؤشر (NDVI) للفترة من يناير إلى مايو، وارتباطات المناخ مع مؤشر (NDVI) بعد إزالة الاتجاه (detrended) على شبكة مشتركة بدقة 0.1 درجة.تم بعد ذلك تصنيف البكسلات النباتية على أنها: حساسة لهطول الأمطار، أو حساسة للحرارة، أو حساسة لكليهما، أو لا تظهر علاقة متوقعة قوية، أو تظهر اتجاهاً قوياً آخر. أظهر هطول الأمطار في الموسم الرطب تدرجاً واضحاً من إجماليات عالية جداً في شمال وشمال شرق العراق إلى إجماليات منخفضة ومنخفضة جداً عبر الغرب والجنوب الغربي والجنوب. كان الاخضرار ذو الدلالة الإحصائية أكثر انتشاراً بشكل ملحوظ من الاسمرار، حيث تركزت أقوى اتجاهات مؤشر (NDVI) الإيجابية في المناطق الزراعية في الشمال والشمال الشرقي والوسط. بعد إزالة الاتجاهات الخطية، كانت ارتباطات هطول الأمطار مع مؤشر (NDVI) إيجابية في الغالب وواسعة النطاق مكانياً، في حين كانت ارتباطات درجة الحرارة مع مؤشر (NDVI) ذات دلالة سلبية بشكل رئيسي ومركّزة في شمال وشرق وجنوب شرق العراق. هيمنت حساسية هطول الأمطار على التصنيف المتكامل، بينما شكلت الحساسية المزدوجة لهطول الأمطار والحرارة مجموعات متميزة في شمال-وسط وجنوب شرق البلاد. توفر هذه النتائج خط أساس مكانياً وطنياً لتحديد مناطق الغطاء النباتي المرتبطة بتقلبات المياه والحرارة بين السنوات. وتمثل فئات الحساسية ارتباطات إحصائية وليست عزوًا سببيًا.","气候变化正在加剧干旱地区的高温与水分胁迫，从而增加了对植被响应进行空间一致、长期监测的需求。伊拉克尤其容易受到这些变化的影响，因为强烈的气候梯度、频繁的干旱以及有限的水资源可用性，与大片雨养和灌溉土地并存。本研究利用MODIS归一化植被指数（NDVI）、降雨数据（CHIRPS）以及2米高度气温数据（ERA5-Land），评估了2001年至2025年伊拉克的气候与植被动态。研究在0.1度分辨率的统一网格上，分析了10月至5月的平均降雨量、1月至5月的NDVI趋势，以及去趋势（detrended）后气候与NDVI的相关性。随后将植被像元分类为：对降雨敏感、对温度敏感、对两者均敏感、未表现出强预期关系，或表现出其他强趋势。湿季降雨呈现出从伊拉克北部和东北部极高总量向西、西南和南部低及极低总量的明显梯度。具有统计显著性的绿化现象明显比褐化更为广泛，其中最强的NDVI正趋势集中在北部、东北部和中部的农业区。去除线性趋势后，降雨与NDVI的相关性大多为正且在空间上广泛分布，而温度与NDVI的相关性主要为显著负相关，集中在伊拉克北部、东部和东南部。降雨敏感性在综合分类中占主导地位，而降雨与温度的双重敏感性在该国中北部和东南部形成了独特的集群。这些结果为识别与年际水热波动相关的植被区域提供了全国尺度的空间基线。敏感性类别代表统计关联，而非因果归因。","Journal Of Babylon Center for Humanities Studies","2026-10-09T00:00:00Z",70,{"impact":17,"substance":18,"depth":19,"authority":17,"freshness":55,"relevant":22,"comment":103},"基于MODIS、CHIRPS与ERA5-Land长时序数据评估伊拉克气候与植被敏感性，方法规范、结论有区域参考价值，但属境外基础研究，公共影响有限。",[105],{"name":99,"url":96},[107,27,29,30,108],"气候变化","植被覆盖",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":112},{"candidates":113,"agricultural_evidence":47},[114,119,126],{"code":33,"score":115,"supported":47,"title":116,"abstract":117,"tags":118},8,[],[107,51],[30,107],{"code":120,"score":55,"supported":47,"title":121,"abstract":122,"tags":125},"H3",[],[123,124],"灌溉","水资源",[],{"code":62,"score":127,"supported":14,"title":128,"abstract":129,"tags":130},3,[],[],[27,108,29],[132,133],"伊拉克 NDVI 植被动态","MODIS CHIRPS ERA5-Land 遥感","伊拉克NDVI植被动态-4756","10.66026\u002Fy7543b35",{"doi":135,"openalex_id":137,"authors":138,"venue":99,"cited_by_count":81,"oa_url":145,"card":146,"direction":87,"ingested_from":89},"W7221306668",[139,141,143],{"name":140,"orcid":9},"خولة‌ حمه‌رشید عمر",{"name":142,"orcid":9},"سایە دلاوەر محمد",{"name":144,"orcid":9},"Daban Kadhim Omar","https:\u002F\u002Fbcchj.uobabylon.edu.iq\u002Findex.php\u002Fbcchj\u002Farticle\u002Fdownload\u002F4819\u002F4866",{"tldr":147,"method":148,"finding":149,"direction":87,"opportunity":150},"基于2001–2025年MODIS NDVI、CHIRPS降水与ERA5-Land温度数据，评估伊拉","MODIS NDVI、CHIRPS降水、ERA5-Land温度，0.1°网格去趋","植被绿化趋势多于褐化，降水敏感性主导，温度负相关集中于北部、东部和东南部。","可结合灌溉与土地覆盖数据，区分雨养与灌溉区植被对水热胁迫的差异化响应机制。","2026-10-12T23:30:27.995466Z",{"id":153,"title":154,"url":155,"summary":156,"summary_zh":157,"content":9,"source_name":158,"source_url":155,"published_at":100,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":159,"score_detail":160,"sources":163,"tags":165,"primary_topic":169,"secondary_topics":170,"classification":171,"search_phrases":201,"slug":204,"view_count":22,"doi":205,"paper":206,"created_at":224},4560,"Assessment of Flood Impacts, Losses and Adaptation Practices in Bhajani Municipality, Kailali District, Nepal","https:\u002F\u002Fdoi.org\u002F10.3126\u002Futjliast.v2i3.101085","Floods are the most frequent and damaging hydro-meteorological hazard in the Terai region of Nepal, yet municipal-scale evidence that links hazard mapping, community perception, historical losses and local adaptation remains scarce. This study assesses flood impacts, losses, and adaptation practices in Bhajani Municipality, Kailali District, Sudurpashchim Province, a low-lying municipality with nine wards (176.25 km²) and crossed by the Mohana, Kandra, Kanda (Kadha), and Patharaiya rivers. A mixed-methods design combined a questionnaire survey of 156 respondents (Slovin’s formula, e = 8%), focus group discussions, in-depth interviews, field observation and desk review of the Local Disaster and Climate Resilience Plan (LDCRP). The Relative Importance Index (RII) was used to rank 16 flood-related problems, their causes and effects, and 12 adaptation measures rated on a five-point Likert scale; 64 Chi-square tests of independence examined whether perceptions differ by gender, age, occupation and education, and a GIS-based Weighted Multi-Criteria Decision Analysis (WMCDA) using distance from rivers (30%), Topographic Wetness Index (25%), slope (25%) and Height Above Nearest Drainage (20%) produced a flood hazard map. Wards 3, 5, 7 and 8 were classified as very high flood-risk areas, wards 6 and 9 as high, wards 1 and 2 as moderate and ward 4 as low–moderate; 85 settlements and hamlets are potentially exposed. Sixteen flood events recorded in municipal and community records affected 5,140 households, displaced 598 households, destroyed 188 houses, damaged about 1,695 bighas of cultivable land, caused an estimated loss of NPR 702.4 million and claimed 10 lives. Agriculture damage (RII = 0.863) and livestock damage (0.846) ranked as the most important problems. Non-compliance with flood-resistant building standards (0.914), waterlogging from slow runoff (0.891), insufficient investment in early warning systems (0.854) and weak institutional capacity (0.854) were the leading perceived causes, while displacement of local communities (0.905) and high livestock mortality (0.862) were leading effects. Perceptions were largely homogeneous: 62 of 64 tests (96.9%) showed no demographic association, with age linked only to views on public awareness and physical infrastructure. Strengthening river management and flood-control infrastructure (0.803) was the highest-rated adaptation measure, followed by climate-smart agriculture (0.760). A case study contrasts the slow-onset, long-duration Kandra floods with the rapid, short-warning Kadha flash floods. Flood risk in Bhajani is multidimensional, combining physical exposure, socio-economic vulnerability, infrastructure deficiencies, institutional weaknesses and climatic variability. Ward-prioritized embankment and drainage works, community-based early warning, enforcement of flood-resilient construction, climate-smart agriculture and ecosystem-based watershed management are recommended.","洪水是尼泊尔特莱地区最频繁且破坏性最强的水文气象灾害，然而，将灾害制图、社区感知、历史损失与地方适应相联系的市镇尺度证据仍然匮乏。本研究评估了苏杜尔帕希姆省凯拉利县巴贾尼市的洪水影响、损失与适应实践。该市地势低洼，下辖9个区（176.25平方公里），莫哈纳河、坎德拉河、坎达河（卡达河）和帕塔拉伊亚河穿境而过。研究采用混合方法设计，结合了156名受访者的问卷调查（Slovin公式，e = 8%）、焦点小组讨论、深度访谈、实地观察以及对《地方灾害与气候韧性计划》（LDCRP）的案头审查。采用相对重要性指数（RII）对16项洪水相关问题及其成因与影响、以及12项适应措施进行排序，评分采用五点李克特量表；通过64项卡方独立性检验考察感知是否因性别、年龄、职业和教育程度而异；并运用基于GIS的加权多准则决策分析（WMCDA），以距河流距离（30%）、地形湿度指数（25%）、坡度（25%）和距最近排水沟高度（20%）为因子，生成了洪水灾害图。第3、5、7和8区被划为极高洪水风险区，第6和9区为高风险区，第1和2区为中等风险区，第4区为低至中等风险区；85个居民点和村落可能受到影响。市镇和社区记录中记载的16次洪水事件共影响5，140户家庭，使598户家庭流离失所，摧毁188栋房屋，损坏约1，695比加耕地，造成约7.024亿尼泊尔卢比的估计损失，并导致10人丧生。农业损失（RII = 0.863）和牲畜损失（0.846）被列为最重要的问题。不遵守抗洪建筑标准（0.914）、径流缓慢导致的内涝（0.891）、预警系统投资不足（0.854）和机构能力薄弱（0.854）是主要的感知成因，而当地社区流离失所（0.905）和高牲畜死亡率（0.862）是主要影响。感知在很大程度上具有同质性：64项检验中有62项（96.9%）未显示人口统计学关联，年龄仅与对公众意识和物质基础设施的看法相关。加强河流管理和防洪基础设施（0.803）是评分最高的适应措施，其次是气候智慧型农业（0.760）。一项案例研究对比了缓发性","Universal Technical Journal of Lumbini International Academy of Science and Technology",61,{"impact":115,"substance":18,"depth":161,"authority":55,"freshness":115,"relevant":22,"comment":162},17,"尼泊尔市级洪水风险与农业损失实证研究，方法扎实数据翔实，但属境外地方案例，对国内三农信息化参考价值有限。",[164],{"name":158,"url":155},[28,29,166,167,168],"洪水风险","尼泊尔","农业减灾",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":172},{"candidates":173,"agricultural_evidence":47},[174,179,185,191,197],{"code":33,"score":115,"supported":47,"title":175,"abstract":176,"tags":178},[],[49,177],"waterlogging",[28,166],{"code":180,"score":127,"supported":47,"title":181,"abstract":182,"tags":184},"C",[],[183],"livestock",[],{"code":186,"score":127,"supported":47,"title":187,"abstract":188,"tags":190},"I1",[],[189],"smart agriculture",[],{"code":192,"score":127,"supported":47,"title":193,"abstract":194,"tags":196},"I4",[],[195],"GIS",[],{"code":62,"score":22,"supported":14,"title":198,"abstract":199,"tags":200},[],[],[29],[202,203],"Bhajani Municipality 洪水风险","Kailali 农业损失 适应","BhajaniMunicipality洪水风险-4560","10.3126\u002Futjliast.v2i3.101085",{"doi":205,"openalex_id":207,"authors":208,"venue":158,"cited_by_count":81,"oa_url":155,"card":217,"direction":223,"ingested_from":89},"W7221076000",[209,211,213,215],{"name":210,"orcid":9},"Anesh Shrestha",{"name":212,"orcid":9},"Khet Raj Dahal",{"name":214,"orcid":9},"Sujeet Dhakal",{"name":216,"orcid":9},"Sagar Sedhain",{"tldr":218,"method":219,"finding":220,"direction":221,"opportunity":222},"评估尼泊尔Bhajani市洪水影响、损失与适应实践，并绘制洪水风险图。","混合方法：156份问卷、RII排序、卡方检验与GIS加权多准则决策分析。","第3、5、7、8区为极高风险；农业与牲畜损失最重，河流管理是最受认可的适应措施。","农业绿色发展与碳","可延伸至社区感知与GIS风险图耦合的适应策略优化，及气候智慧型农业的落地评估。","智慧农业 \u002F 农业物联网","2026-10-10T23:30:07.730161Z",{"id":226,"title":227,"url":228,"summary":229,"summary_zh":230,"content":9,"source_name":231,"source_url":228,"published_at":232,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":233,"score_detail":234,"sources":237,"tags":239,"primary_topic":243,"secondary_topics":248,"classification":256,"search_phrases":287,"slug":290,"view_count":63,"doi":291,"paper":292,"created_at":319},4172,"Machine learning reveals distinct drivers of soil organic carbon across the mountain-oasis-desert system of northwest China","https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs13021-026-00522-5","The mountain-oasis-desert system (MODS) is a distinctive landscape pattern shaped by interactions between geomorphological configurations and hydrological processes in arid regions. However, most soil organic carbon (SOC) mapping studies treat arid landscapes as homogeneous units, leaving limited quantitative evidence on how SOC patterns and environmental associations differ among MODS subsystems. As a critical ecosystem highly sensitive to climate change and human activities, understanding these responses is essential for regional soil carbon management and ecological restoration. In this study, we developed an ecosystem-based modeling framework in the Hexi Region (HXR) to construct separate SOC prediction models for different subsystems, aiming to investigate the spatiotemporal dynamics of SOC stocks and identify their key driving factors across MODS. The results show that incorporating remote sensing (RS) variables significantly improved model performance, increasing the mean R 2 from 0.51 to 0.58. Among the tested models, XGBoost achieved the best performance, providing an effective tool for SOC mapping in arid regions. Shapley additive explanations (SHAP) analysis of the best-performing XGBoost models identified distinct leading predictors across the MODS, including surface shortwave radiation (SRAD) in mountain and desert ecosystems and the difference vegetation index (DVI) in oasis ecosystems. Furthermore, the partial least squares path model (PLS-PM) revealed contrasting influences of climate change and human activities across ecological subsystems. Climatic factors exerted the strongest influence in the mountainous subsystem, whereas in the oasis subsystem intensive human management became the dominant driver of soil carbon cycling. From 2001 to 2023, SOC stocks in oasis regions increased significantly at a rate of 0.17 t C ha⁻ 1 year⁻ 1 , potentially associated with land-use change and agricultural management. Approximately 19.3% of the study area experienced significant SOC stocks declines. By resolving subsystem-specific SOC patterns and environmental associations, this study advances ecosystem-aware SOC assessment in arid regions. The resulting framework also provides a basis for differentiated carbon management across MODS.","山地-绿洲-荒漠系统（MODS）是干旱区地貌格局与水文过程相互作用形成的独特景观格局。然而，大多数土壤有机碳（SOC）制图研究将干旱区景观视为均质单元，关于MODS各子系统间SOC格局及其环境关联差异的定量证据仍然有限。作为对气候变化和人类活动高度敏感的关键生态系统，理解这些响应对于区域土壤碳管理和生态恢复至关重要。本研究在河西地区（HXR）构建了基于生态系统的建模框架，针对不同子系统分别建立SOC预测模型，旨在探究MODS中SOC储量的时空动态并识别其关键驱动因子。结果表明，引入遥感（RS）变量显著提升了模型性能，平均R²从0.51提高至0.58。在测试的模型中，XGBoost表现最佳，为干旱区SOC制图提供了有效工具。对最优XGBoost模型的SHAP（Shapley加法解释）分析识别出MODS各子系统的不同主导预测因子，其中山地和荒漠生态系统为地表短波辐射（SRAD），绿洲生态系统为差值植被指数（DVI）。此外，偏最小二乘路径模型（PLS-PM）揭示了气候变化和人类活动在各生态子系统中的差异化影响。气候因子在山地子系统中影响最强，而在绿洲子系统中，集约化人类管理成为土壤碳循环的主导驱动因素。2001年至2023年，绿洲区域SOC储量以0.17 t C ha⁻¹ year⁻¹的速率显著增加，这可能与土地利用变化和农业管理有关。约19.3%的研究区域经历了SOC储量的显著下降。通过解析子系统特定的SOC格局及其环境关联，本研究推进了干旱区生态系统感知型SOC评估，所构建的框架也为MODS差异化碳管理提供了依据。","Carbon Balance and Management","2026-10-03T00:00:00Z",79,{"impact":46,"substance":18,"depth":19,"authority":235,"freshness":21,"relevant":22,"comment":236},14,"基于XGBoost与SHAP的干旱区SOC分异驱动研究，方法新颖、数据翔实，对区域碳管理与生态修复有参考价值。",[238],{"name":231,"url":228},[240,241,242,29,30],"机器学习","土壤有机碳","生态修复",{"code":244,"slug":245,"name":246,"path":247,"parent_code":37},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",[249,250],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"code":251,"slug":252,"name":253,"path":254,"parent_code":255},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",{"status":40,"locked":14,"version":41,"method":42,"evidence":257},{"candidates":258,"agricultural_evidence":47},[259,265,270,275,282],{"code":244,"score":260,"supported":47,"title":261,"abstract":262,"tags":264},15,[245],[263,245],"土壤",[241],{"code":33,"score":13,"supported":47,"title":266,"abstract":267,"tags":269},[],[107,51,268],"climate change",[30],{"code":251,"score":21,"supported":47,"title":271,"abstract":273,"tags":274},[272],"machine learning",[],[240],{"code":62,"score":276,"supported":47,"title":277,"abstract":278,"tags":281},7,[],[279,280],"遥感","remote sensing",[29],{"code":283,"score":22,"supported":14,"title":284,"abstract":285,"tags":286},"H6",[],[],[242],[288,289],"河西地区 土壤有机碳 机器学习","山地-绿洲-荒漠 遥感 碳储量","河西地区土壤有机碳机器学习-4172","10.1186\u002Fs13021-026-00522-5",{"doi":291,"openalex_id":293,"authors":294,"venue":231,"cited_by_count":81,"oa_url":228,"card":314,"direction":87,"ingested_from":89},"W7219075005",[295,297,300,302,305,307,310,312],{"name":296,"orcid":9},"Y. Chen",{"name":298,"orcid":299},"Haiyang Xi","https:\u002F\u002Forcid.org\u002F0000-0003-3158-8161",{"name":301,"orcid":9},"Meng Zhu",{"name":303,"orcid":304},"Wenju Cheng","https:\u002F\u002Forcid.org\u002F0000-0002-1822-5668",{"name":306,"orcid":9},"Yulian Hao",{"name":308,"orcid":309},"Linbo Qu","https:\u002F\u002Forcid.org\u002F0009-0007-4669-8407",{"name":311,"orcid":9},"Zhehui Wang",{"name":313,"orcid":9},"Bin Wang",{"tldr":315,"method":316,"finding":317,"direction":87,"opportunity":318},"构建基于生态系统的机器学习框架，预测西北荒漠-绿洲-山地系统土壤有机碳并识别各子系统驱动因子。","XGBoost、SHAP、PLS-PM，结合遥感变量与2001-2023年多源数","遥感变量提升模型R²至0.58；山地和沙漠由辐射主导，绿洲由人类管理主导，绿洲碳储量年增0.17 t","可延伸研究绿洲农业管理措施对土壤碳的长期影响，并开发子系统自适应的碳监测与决策模型。","2026-10-04T23:30:24.631460Z",{"id":321,"title":322,"url":323,"summary":324,"summary_zh":325,"content":9,"source_name":326,"source_url":323,"published_at":327,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":328,"score_detail":329,"sources":331,"tags":333,"primary_topic":336,"secondary_topics":337,"classification":342,"search_phrases":367,"slug":370,"view_count":22,"doi":371,"paper":372,"created_at":385},3903,"An Analysis of Land Use and Land Cover Change Detection Using Geospatial Technology-A Case Study of Phalsoond Tehsil in Jaisalmer District, Rajasthan, India","https:\u002F\u002Fdoi.org\u002F10.22214\u002Fijraset.2026.84983","Analysis of Land Use and Land Cover (LULC) change is significant indicators of environmental changes, resource utilization and sustainable development, especially in arid regions where land and water resources are very fragile. The present study has investigated the spatio-temporal analysis of LULC changes in Phascoond Tehsil of Jaisalmer District of Rajasthan, India from the year 2017 to 2024 using Remote sensing and Geographic Information System (GIS) techniques. To classify the study area, multi-temporal Sentinel-2 data with 10 m spatial resolution were provided by the Esri Sentinel-2 Land Cover Explorer, which was used to separate the area into five categories i.e. water bodies, agriculture land, built-up areas, bare ground and wasteland. LULC changes were quantified in terms of magnitude and direction using post-classification comparison and GIS-based change detection techniques. The findings show significant change in landscape over the year 2017 to 2024. Wasteland remained the dominant land-cover category but declined from 779.07 km² (78.28%) in 2017 to 726.86 km² (71.41%) in 2024. Agricultural area grew by 86.62 km² (+19.48% to 280.52 km²), adding 94.76 km² of wasteland. Gradual settlement and infrastructure development also resulted in an increase in built-up area from 3.89 km2 to 7.73 km2 . The water bodies were small in spatial extent and slight shifts happened between bare ground and other land-cover classes. The results clearly show that the Sentinel-2 data and GIS-based analysis is useful in monitoring LULC dynamics in data-sparse arid regions. The present extent of agriculture and development has occurred at a time when there is a need to manage the land and groundwater resources sustainably, monitor environment, and plan land use with climate change in Phalsoond tehsil of Jaisalmer District in western Rajasthan.","土地利用与土地覆盖（LULC）变化分析是环境变化、资源利用和可持续发展的重要指标，在土地与水资源极为脆弱的干旱地区尤为如此。本研究利用遥感与地理信息系统（GIS）技术，对印度拉贾斯坦邦杰伊瑟尔梅尔县Phascoond乡2017年至2024年间的LULC变化进行了时空分析。为对研究区进行分类，采用了Esri Sentinel-2土地覆盖浏览器提供的10 m空间分辨率多时相Sentinel-2数据，将区域划分为五个类别，即水体、农用地、建设用地、裸地和荒地。通过分类后比较和基于GIS的变化检测技术，从幅度和方向两方面对LULC变化进行了量化。研究结果表明，2017年至2024年间景观发生了显著变化。荒地仍为优势土地覆盖类型，但从2017年的779.07 km²（78.28%）下降至2024年的726.86 km²（71.41%）。农业面积增加了86.62 km²（增幅19.48%，达到280.52 km²），占用了94.76 km²的荒地。逐步的聚落与基础设施建设也导致建设用地从3.89 km²增加至7.73 km²。水体空间范围较小，裸地与其他土地覆盖类别之间发生了轻微转换。结果清楚表明，Sentinel-2数据与基于GIS的分析对于监测数据稀缺干旱地区的LULC动态具有实用价值。当前农业与开发的程度出现在这样一个时期：拉贾斯坦邦西部杰伊瑟尔梅尔县Phalsoond乡亟需可持续管理土地与地下水资源、监测环境，并在气候变化背景下进行土地利用规划。","International Journal for Research in Applied Science and Engineering Technology","2026-09-30T00:00:00Z",52,{"impact":55,"substance":19,"depth":235,"authority":55,"freshness":115,"relevant":22,"comment":330},"基于Sentinel-2与GIS的印度干旱区土地利用变化研究，方法规范但属区域性案例，对国内三农信息化参考价值有限。",[332],{"name":326,"url":323},[29,334,30,335],"土地利用","GIS应用",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[338],{"code":192,"slug":339,"name":340,"path":341,"parent_code":255},"gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis",{"status":40,"locked":14,"version":41,"method":42,"evidence":343},{"candidates":344,"agricultural_evidence":47},[345,349,355,359,363],{"code":33,"score":13,"supported":47,"title":346,"abstract":347,"tags":348},[],[107,51,268],[30],{"code":192,"score":21,"supported":47,"title":350,"abstract":351,"tags":354},[],[352,195,353],"地理信息","geographic information",[],{"code":62,"score":276,"supported":47,"title":356,"abstract":357,"tags":358},[],[279,280],[29],{"code":120,"score":127,"supported":47,"title":360,"abstract":361,"tags":362},[],[124],[],{"code":283,"score":22,"supported":14,"title":364,"abstract":365,"tags":366},[],[],[334],[368,369],"Jaisalmer 土地利用变化","Sentinel-2 遥感 干旱区","Jaisalmer土地利用变化-3903","10.22214\u002Fijraset.2026.84983",{"doi":371,"openalex_id":373,"authors":374,"venue":326,"cited_by_count":81,"oa_url":323,"card":380,"direction":87,"ingested_from":89},"W7214996325",[375,377],{"name":376,"orcid":9},"Deendayal .",{"name":378,"orcid":379},"Om Prakash","https:\u002F\u002Forcid.org\u002F0000-0003-1239-445X",{"tldr":381,"method":382,"finding":383,"direction":87,"opportunity":384},"基于Sentinel-2和GIS分析印度拉贾斯坦邦干旱区2017-2024年土地利用\u002F覆盖变化。","Sentinel-2 10m影像与GIS分类，采用分类后比较法检测LULC变化。","荒地减少52.21 km²，农业增加86.62 km²，建设用地翻倍，水资源面积小。","可结合多源遥感与机器学习，在数据稀疏干旱区开展高精度LULC动态监测与驱动机制研究。","2026-10-01T23:30:29.277138Z",{"id":387,"title":388,"url":389,"summary":390,"summary_zh":391,"content":9,"source_name":392,"source_url":389,"published_at":393,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":394,"score_detail":395,"sources":398,"tags":400,"primary_topic":404,"secondary_topics":405,"classification":406,"search_phrases":422,"slug":425,"view_count":127,"doi":426,"paper":427,"created_at":442},3558,"Meteorolojik Kuraklığın Vejetasyon Sağlığı Üzerindeki Mekânsal ve Zamansal Etkilerinin SPI ve NDVI ile Analizi: Gediz Havzası Örneği","https:\u002F\u002Fdoi.org\u002F10.48123\u002Frsgis.1858019","Kuraklık, özellikle yarı kurak iklim koşullarına sahip havzalarda su kaynakları, tarımsal üretim ve ekosistem sürdürülebilirliği üzerinde belirleyici etkiler oluşturan başlıca doğal afetlerden biridir. Bu bağlamda, kuraklığın bitki örtüsü üzerindeki mekânsal ve zamansal etkilerinin bütüncül yaklaşımlarla değerlendirilmesi büyük önem taşımaktadır. Bu çalışmada, meteorolojik kuraklığın vejetasyon sağlığı üzerindeki mekânsal ve zamansal etkileri, Standartlaştırılmış Yağış İndeksi (SPI) ve Normalize Fark Bitki Örtüsü İndeksi (NDVI) kullanılarak Gediz Havzası örneğinde analiz edilmiştir. SPI analizleri 1970–2023 yılları arasındaki uzun dönem yağış verilerine dayanırken, NDVI verileri 2000–2023 dönemine ait MODIS uydu görüntülerinden elde edilmiştir. İki veri seti arasındaki ilişkiler, ortak dönem olan 2000–2023 yılları için incelenmiştir. Elde edilen bulgular, meteorolojik kuraklık ile vejetasyon sağlığı arasındaki ilişkinin mevsimsel olarak değişkenlik gösterdiğini ortaya koymaktadır. En güçlü ilişki yaz mevsiminde gözlenmiş (r ≈ 0.70) ve bu durum vejetasyonun yağış eksikliklerine en duyarlı olduğu dönemin yaz ayları olduğunu göstermiştir. Buna karşılık, kış (r ≈ 0.05) ve ilkbahar (r ≈ 0.02) mevsimlerinde ilişki oldukça zayıf bulunmuştur. Belirlenen kurak yıllarda (2004, 2008 ve 2022) NDVI değerlerinde belirgin düşüşler gözlenmiştir. Sonuç olarak, vejetasyonun kuraklığa verdiği tepkinin yıl boyunca homojen olmadığı, mevsimsel iklim koşulları ve diğer çevresel faktörlere bağlı olarak değiştiği belirlenmiştir.","干旱是主要自然灾害之一，尤其在具有半干旱气候条件的流域中，对水资源、农业生产和生态系统可持续性产生决定性影响。在此背景下，以整体性方法评估干旱对植被的时空影响具有重要意义。本研究以盖迪兹流域为例，利用标准化降水指数（SPI）和归一化植被指数（NDVI）分析了气象干旱对植被健康的时空影响。SPI分析基于1970—2023年的长期降水数据，而NDVI数据则来自2000—2023年期间的MODIS卫星影像。两个数据集之间的关系在共同时段2000—2023年进行了分析。研究结果表明，气象干旱与植被健康之间的关系呈现季节性变化。最显著的关系出现在夏季（r ≈ 0.70），这表明夏季是植被对降水亏缺最为敏感的时期。相比之下，冬季（r ≈ 0.05）和春季（r ≈ 0.02）的关系则非常微弱。在确定的干旱年份（2004年、2008年和2022年），NDVI值出现了明显下降。综上，植被对干旱的响应在全年并非均匀一致，而是随季节性气候条件及其他环境因素而变化。","Turkish Journal of Remote Sensing and GIS","2026-09-24T00:00:00Z",71,{"impact":17,"substance":396,"depth":161,"authority":20,"freshness":115,"relevant":22,"comment":397},21,"基于SPI与NDVI长时序数据揭示气象干旱对植被健康影响的季节性差异，方法规范、结论可靠，对农业干旱遥感监测有参考价值，但属区域案例研究，公共影响有限。",[399],{"name":392,"url":389},[27,29,401,402,403],"干旱监测","植被指数","SPI",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":407},{"candidates":408,"agricultural_evidence":47},[409,414,418],{"code":33,"score":410,"supported":47,"title":411,"abstract":412,"tags":413},4,[],[51],[401],{"code":120,"score":127,"supported":47,"title":415,"abstract":416,"tags":417},[],[124],[],{"code":62,"score":127,"supported":14,"title":419,"abstract":420,"tags":421},[],[],[27,402,29],[423,424],"Gediz Havzası SPI NDVI","气象干旱 植被健康 遥感","GedizHavzasıSPINDVI-3558","10.48123\u002Frsgis.1858019",{"doi":426,"openalex_id":428,"authors":429,"venue":392,"cited_by_count":81,"oa_url":436,"card":437,"direction":87,"ingested_from":89},"W7214166880",[430,433],{"name":431,"orcid":432},"Kemal Yurddaş","https:\u002F\u002Forcid.org\u002F0000-0003-4691-4038",{"name":434,"orcid":435},"Murat Karabulut","https:\u002F\u002Forcid.org\u002F0000-0002-1456-6908","https:\u002F\u002Fdergipark.org.tr\u002Ftr\u002Fdownload\u002Farticle-file\u002F5578303",{"tldr":438,"method":439,"finding":440,"direction":87,"opportunity":441},"用SPI和NDVI分析土耳其盖迪兹流域气象干旱对植被健康的时空影响。","基于1970-2023年降水SPI与2000-2023年MODIS NDVI，做","干旱与植被关系随季节变化，夏季最强(r≈0.70)，冬春极弱；干旱年NDVI明显下降。","可引入滞后效应与多尺度SPI，结合土壤水分和灌溉数据，提升干旱对植被影响的预测能力。","2026-09-26T23:30:31.357310Z",{"id":444,"title":445,"url":446,"summary":447,"summary_zh":448,"content":9,"source_name":449,"source_url":446,"published_at":450,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":451,"score_detail":452,"sources":455,"tags":457,"primary_topic":461,"secondary_topics":465,"classification":471,"search_phrases":492,"slug":495,"view_count":63,"doi":496,"paper":497,"created_at":517},3551,"Diachronic Assessment of Water Springs in Ribat El Kheir Plateau (Morocco), under Climatic and Anthropogenic Pressure, Using Remote Sensing (1985-2025)","https:\u002F\u002Fdoi.org\u002F10.4028\u002Fp-9o0ojj","The Ribat El Kheir plateau, located in the northern part of the Tabular Middle Atlas (Morocco), is characterized by carbonate formations (Liasic dolomitic limestones) and a dense network of tectonic faults. This study conducts a diachronic assessment of water springs and their interaction with climatic conditions and anthropogenic factors related to the expansion of irrigated agriculture (farms) from 1985 to 2025. A multi-source methodological approach was adopted, combining the inventory and mapping of springs, the application of remote sensing, using Landsat and Sentinel satellite imagery, and the calculation of standard indices, including the Normalized Difference Water Index (NDWI), the Normalized Difference Vegetation Index (NDVI), and the Standardized Precipitation Index (SPI). The results indicate that a combination of geomorphological context primarily influences the spatial distribution of the 101 inventoried springs, the lithological nature of the formations (permeable dolomites), structural features, and climatic factors. However, a significant regression in both the number and flow of these springs has been observed. Concurrently, irrigated fruit agriculture has expanded remarkably over the study period. The SPI analysis further reveals a climatic trend towards increased aridity. These findings highlight the critical and synergistic pressure of climate change and intensive agriculture on water resources in this vulnerable semi-arid region.","位于摩洛哥中阿特拉斯板状山脉北部的里巴特·埃尔·海尔（Ribat El Kheir）高原，以碳酸盐岩地层（里阿斯统白云质灰岩）和密集的构造断裂网络为特征。本研究对1985年至2025年间泉水动态及其与气候条件和灌溉农业（农场）扩张相关人为因素的相互作用进行了历时性评估。研究采用多源方法学途径，结合泉水编录与制图、遥感技术应用（利用Landsat和Sentinel卫星影像）以及标准指数的计算，包括归一化差异水体指数（NDWI）、归一化差异植被指数（NDVI）和标准化降水指数（SPI）。结果表明，101处编录泉水的空间分布主要受地貌背景、地层岩性特征（渗透性白云岩）、构造特征及气候因素的综合影响。然而，观测到这些泉水的数量和流量均出现显著衰退。与此同时，灌溉果树农业在研究期内显著扩张。SPI分析进一步揭示了气候趋于干旱化的趋势。这些发现凸显了气候变化与集约化农业对这一脆弱半干旱地区水资源的临界协同压力。","International journal of engineering research in Africa","2026-09-25T00:00:00Z",67,{"impact":115,"substance":453,"depth":161,"authority":20,"freshness":21,"relevant":22,"comment":454},20,"基于Landsat与Sentinel遥感的40年泉水退化评估，方法扎实、数据翔实，但属区域案例研究，对国内三农实践的直接参考价值有限。",[456],{"name":449,"url":446},[458,27,29,459,460],"农业水资源","灌溉农业","干旱化",{"code":62,"slug":462,"name":463,"path":464,"parent_code":255},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",[466,467],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"code":120,"slug":468,"name":469,"path":470,"parent_code":37},"irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",{"status":40,"locked":14,"version":41,"method":42,"evidence":472},{"candidates":473,"agricultural_evidence":47},[474,478,482,486],{"code":62,"score":46,"supported":47,"title":475,"abstract":476,"tags":477},[280],[279,280],[27,29],{"code":33,"score":21,"supported":47,"title":479,"abstract":480,"tags":481},[],[107,51,268],[],{"code":120,"score":115,"supported":47,"title":483,"abstract":484,"tags":485},[],[123,124],[458,459],{"code":487,"score":127,"supported":47,"title":488,"abstract":489,"tags":491},"B2",[],[490],"果树",[],[493,494],"Ribat El Kheir 泉水 遥感","摩洛哥 灌溉农业 水资源","RibatElKheir泉水遥感-3551","10.4028\u002Fp-9o0ojj",{"doi":496,"openalex_id":498,"authors":499,"venue":449,"cited_by_count":81,"oa_url":9,"card":512,"direction":87,"ingested_from":89},"W7214294130",[500,502,503,506,508,509],{"name":501,"orcid":9},"Hamid Achiban",{"name":501,"orcid":9},{"name":504,"orcid":505},"Miloud Afenzar","https:\u002F\u002Forcid.org\u002F0009-0008-0839-0230",{"name":507,"orcid":9},"Hassan Achiban",{"name":507,"orcid":9},{"name":510,"orcid":511},"Nourddine El Gali","https:\u002F\u002Forcid.org\u002F0009-0001-7025-4765",{"tldr":513,"method":514,"finding":515,"direction":87,"opportunity":516},"基于遥感和指数分析，评估摩洛哥Ribat El Kheir高原1985-2025年泉水数量与流量的退","Landsat\u002FSentinel影像、NDWI\u002FNDVI\u002FSPI指数、泉水编目与","泉水数量与流量显著减少，灌溉农业扩张与气候干旱化协同加剧水资源压力。","可结合多源遥感与机器学习，量化灌溉扩张对泉水流量的贡献，并预测未来情景。","2026-09-26T23:30:29.568284Z"]