[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3791":3,"related-3791":88},{"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":9,"secondary_topics":32,"classification":33,"search_phrases":61,"slug":64,"view_count":65,"doi":66,"paper":67,"created_at":87},3791,"Topographic heterogeneity regulates nonlinear vegetation responses to climate and human activities in China’s ecological transition zone","https:\u002F\u002Fdoi.org\u002F10.3389\u002Fffgc.2026.1948232","Ecological transition zones, identified as climate-sensitive areas and biodiversity hotspots, are essential for maintaining regional ecological balance through their vegetation dynamics. However, the impact of topographic heterogeneity on the nonlinear responses of vegetation to climate change and human activities is not well understood. This gap limits our comprehension of ecosystem resilience. This study focuses on the ecological transition zone of the Qinling–Daba Mountains in China. We utilized 30-m resolution Landsat NDVI data from 2000 to 2022, along with climate, human activity, and topographic data. To characterize vegetation dynamics, we employed Theil–Sen trend analysis, the Mann–Kendall test, and the Hurst index. A Bayesian-optimized XGBoost model, combined with SHAP values, was employed to evaluate the relative contributions and response patterns of potential drivers across various vegetation trend zones and topographic gradients. The analysis revealed a significant greening trend, with the normalized difference vegetation index (NDVI) increasing at a rate of 0.0051 yr. −1 ( p \u003C 0.05). Approximately 90.13% of the region displayed an improving trend, while 89.83% indicated a propensity for continued enhancement. The most pronounced vegetation improvements were observed primarily at moderate elevations (1,750–2,250 m), on moderate slopes (15–20°), and on north-facing slopes. Land use and land cover (LULC) (42.5%), elevation (13.2%), population density (8.2%), and precipitation (7.0%) emerged as the most significant contributors to NDVI predictions across the study area. LULC consistently served as the most influential predictor in both regions experiencing significant increases and those facing declines. In contrast, the relative importance and nonlinear response patterns of other factors varied across different trend zones. These findings provide a scientific foundation for targeted ecological restoration and adaptive vegetation management in ecological transition zones.","生态过渡带被认为是气候敏感区和生物多样性热点区，其植被动态对维持区域生态平衡至关重要。然而，地形异质性如何影响植被对气候变化和人类活动的非线性响应，目前尚不明确。这一空白限制了我们对生态系统恢复力的理解。本研究以中国秦岭—大巴山生态过渡带为对象，利用2000—2022年30 m分辨率的Landsat NDVI数据，并结合气候、人类活动和地形数据。为刻画植被动态，我们采用了Theil–Sen趋势分析、Mann–Kendall检验和Hurst指数。采用贝叶斯优化的XGBoost模型，并结合SHAP值，评估了不同植被趋势区和地形梯度上潜在驱动因子的相对贡献及响应模式。分析揭示出显著的绿化趋势，归一化植被指数（NDVI）以0.0051 yr⁻¹的速率增加（p \u003C 0.05）。约90.13%的区域呈改善趋势，89.83%的区域表现出持续增强的倾向。植被改善最显著的区域主要出现在中等海拔（1,750–2,250 m）、中等坡度（15–20°）和北向坡。土地利用与土地覆盖（LULC）（42.5%）、海拔（13.2%）、人口密度（8.2%）和降水（7.0%）是整个研究区NDVI预测中最重要的贡献因子。在显著增加区和下降区，LULC始终是最具影响力的预测因子。相比之下，其他因素的相对重要性和非线性响应模式在不同趋势区存在差异。这些发现为生态过渡带的针对性生态恢复和适应性植被管理提供了科学依据。",null,"Frontiers in Forests and Global Change","2026-09-28T00:00:00Z","论文",10,false,76,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},14,22,18,13,9,1,"基于30米Landsat NDVI与XGBoost-SHAP量化地形对植被非线性响应的研究，方法新颖、数据扎实，对生态过渡带精准修复有参考价值，但属学术论文，公共传播价值有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"气候变化","生态修复","NDVI","遥感监测","植被动态",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":37},"needs_review","2026-10-22.2","rules",{"candidates":38,"agricultural_evidence":14,"reason":60},[39,48,54],{"code":40,"score":41,"supported":42,"title":43,"abstract":44,"tags":47},"H6",7,true,[],[45,46],"生物多样性","biodiversity",[28],{"code":49,"score":41,"supported":42,"title":50,"abstract":51,"tags":53},"H7",[],[27,52],"climate change",[27],{"code":55,"score":56,"supported":14,"title":57,"abstract":58,"tags":59},"I3",3,[],[],[29,31,30],"农业相关性需要复核",[62,63],"秦岭大巴山 生态过渡带 植被","NDVI 地形异质性 植被响应","秦岭大巴山生态过渡带植被-3791",2,"10.3389\u002Fffgc.2026.1948232",{"doi":66,"openalex_id":68,"authors":69,"venue":10,"cited_by_count":78,"oa_url":79,"card":80,"direction":84,"ingested_from":86},"W7214562314",[70,72,74,76],{"name":71,"orcid":9},"Xinwen Su",{"name":73,"orcid":9},"Di Wen",{"name":75,"orcid":9},"Jun Li",{"name":77,"orcid":9},"Peng Dailiang",0,"https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fforests-and-global-change\u002Farticles\u002F10.3389\u002Fffgc.2026.1948232\u002Fpdf",{"tldr":81,"method":82,"finding":83,"direction":84,"opportunity":85},"研究秦岭-大巴山生态过渡带植被非线性响应气候与人类活动，并揭示地形异质性的调控作用。","用2000-2022年30米Landsat NDVI、气候、人类活动和地形数据，","区域显著绿化，NDVI增速0.0051\u002F年；土地利用、海拔、人口密度和降水是主要驱动因子，地形梯度调","农业遥感与作物表型","可探究其他生态过渡带中地形异质性对植被非线性响应的普适性，并耦合多源遥感与可解释机器学习优化生态修复。","openalex","2026-09-29T23:30:28.608664Z",{"total":89,"page":22,"page_size":89,"items":90},6,[91,142,203,256,305,363],{"id":92,"title":93,"url":94,"summary":95,"summary_zh":96,"content":9,"source_name":97,"source_url":94,"published_at":98,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":99,"score_detail":100,"sources":105,"tags":107,"primary_topic":9,"secondary_topics":110,"classification":111,"search_phrases":125,"slug":128,"view_count":22,"doi":129,"paper":130,"created_at":141},4827,"تحليل العلاقة بين الجفاف الموسمي وتناقص الغطاء النباتي واثره في تكرار الظواهر الغبارية في محافظة المثنى للمدة (1980-2025)","https:\u002F\u002Fdoi.org\u002F10.66026\u002Fksfnen31","تعتبر الظواهر الغبارية من الظواهر المناخية التي لها العديد من التأثيرات السلبية على البيئة والاقتصاد والصحة. والغرض من هذه الدراسة التحقق من العلاقة بين تكرار العواصف الرملية والغبار المتطاير والغبار العالق والعوامل المناخية خاصة في المواسم الجافة والرطبة ، وتحليل ودراسة إمكانية حدوث الظواهر الغبارية في منطقة الدراسة وتأثير العوامل المناخية على تكرار حدوثها. اتبعت الدراسة المنهج الوصفي التحليلي، وذلك من خلال الاعتماد على بيانات محطة السماوة المناخية خلال مدة الدراسة من ( 1980- 2025 ) والمحطات الضابطة النجف والديوانية وايضا على بيانات الاستشعار عن بعد الخاصة بالغطاء النباتي الـ NDVI . حيث بينت نتائج الدراسة ان الظروف المناخية تؤثر على التوزيع المكاني للظواهر الغبارية وتكرارها، كما واستخدمت الدراسة معاملات الارتباط لمعالجة البيانات وبيان اتجاه وقوة العلاقة بين الظاهرة المدروسة وأيهما اكثر تأثير من خلال المتغيرات المستقلة والعوامل المناخية المؤثرة فيها. وتوصلت الدراسة إلى ان مصفوفة الارتباط ذات علاقة موجبة قوية بين سرعة الرياح و العاصفة الغبارية أكثر من ارتباطها بأي متغير آخر إذ بلغ معامل الارتباط ( r= 0.79 )، كما ارتبطت إيجابياً بالغبار المتصاعد (r=0.72) والغبار العالق( (r=0.61اما العلاقة الارتباطية بين الرطوبة النسبية والامطار علاقة عك تمثلت منطقة الدراسة بمحافظة المثنى التي تقع في الجزء الجنوبي من العراق يحدها من الشمال محافظة القادسية ومن الشرق محافظتي البصرة وذي قار ومن الغرب محافظة النجف ومن الجنوب المملكة العربية السعودية ، تقع فلكياً بين دائرتي عرض(¢5 29°) ( ¢42 31°) شمالاً وخطي طول (¢50- 43°) و (¢32 -46°)[i] شرقاً كما في الخريطة (1) ، في حين تمثلت المدة الزمنية للظواهر الغبارية من (1980-2025) بالاعتماد على البيانات المناخية لمحطة السماوة و محطة النجف والديوانية كمحطات ضابطة . سية قوية . [i] - اشواق حسن حميد ، الاتجاه الحديث في عناصر المناخ وظواهره لمحافظة المثنى واثره في الجفاف للمدة ( 1987- 2020) ، مجلة الجامعة العراقية ، المجلد 46 ، العدد 2 ، 2023 ، ص 313.","沙尘现象是一种气候现象，对环境、经济和健康具有诸多负面影响。本研究旨在探讨沙尘暴、扬尘和悬浮尘埃发生频率与气候因素之间的关系，尤其是在干旱季和湿润季，并分析和研究研究区域内沙尘现象发生的可能性以及气候因素对其发生频率的影响。本研究采用描述性分析方法，依据萨马沃气候站在研究期（1980—2025年）的数据以及纳杰夫和迪瓦尼耶对照站的数据，同时依据植被归一化植被指数（NDVI）的遥感数据。研究结果表明，气候条件影响沙尘现象的空间分布及其发生频率。本研究还使用相关系数处理数据，说明所研究现象与各独立变量及影响气候因素之间关系的方向和强度，并判断哪个因素影响更大。研究发现，相关矩阵显示风速与沙尘暴之间存在强正相关关系，其相关性高于与其他任何变量的相关性，相关系数达到（r=0.79）；风速与扬尘（r=0.72）和悬浮尘埃（r=0.61）也呈正相关。至于相对湿度与降雨之间的相关关系则呈强负相关。研究区域为穆萨纳省，位于伊拉克南部，北邻卡迪西亚省，东接巴士拉省和济加尔省，西连纳杰夫省，南与沙特阿拉伯王国接壤。该省在天文位置上位于北纬（29°5′）至（31°42′）之间，东经（43°50′）至（46°32′）之间，如图1所示。沙尘现象的时间跨度则为（1980—2025年），依据萨马沃站以及作为对照站的纳杰夫站和迪瓦尼耶站的气候数据。","Journal Of Babylon Center for Humanities Studies","2026-10-11T00:00:00Z",62,{"impact":101,"substance":19,"depth":102,"authority":103,"freshness":21,"relevant":22,"comment":104},8,15,12,"基于1980-2025年气候与NDVI数据定量分析干旱、植被退化与沙尘频次关系，方法规范但属区域气候研究，与农业信息化关联偏弱。",[106],{"name":97,"url":94},[27,29,30,108,109],"干旱","沙尘天气",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":112},{"candidates":113,"agricultural_evidence":14,"reason":60},[114,120],{"code":55,"score":115,"supported":42,"title":116,"abstract":117,"tags":119},5,[],[118],"遥感",[29,30],{"code":49,"score":121,"supported":42,"title":122,"abstract":123,"tags":124},4,[],[108],[27],[126,127],"穆萨纳省 沙尘 植被覆盖","NDVI 干旱 沙尘暴 伊拉克","穆萨纳省沙尘植被覆盖-4827","10.66026\u002Fksfnen31",{"doi":129,"openalex_id":131,"authors":132,"venue":97,"cited_by_count":78,"oa_url":135,"card":136,"direction":84,"ingested_from":86},"W7221436686",[133],{"name":134,"orcid":9},"حوراء راضي جاسم محمد","https:\u002F\u002Fbcchj.uobabylon.edu.iq\u002Findex.php\u002Fbcchj\u002Farticle\u002Fdownload\u002F4964\u002F5019",{"tldr":137,"method":138,"finding":139,"direction":84,"opportunity":140},"分析伊拉克穆萨纳省1980-2025年季节性干旱、植被减少与沙尘现象频率的关系。","利用气象站数据与NDVI遥感数据，采用描述性分析和相关系数法。","风速与沙尘暴相关性最强(r=0.79)，相对湿度和降雨与沙尘现象呈强负相关。","可结合多源遥感与机器学习，构建干旱-植被-沙尘耦合预警模型，并拓展到其他干旱区。","2026-10-13T23:30:25.135328Z",{"id":143,"title":144,"url":145,"summary":146,"summary_zh":147,"content":9,"source_name":97,"source_url":145,"published_at":148,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":149,"score_detail":150,"sources":152,"tags":154,"primary_topic":157,"secondary_topics":162,"classification":163,"search_phrases":182,"slug":185,"view_count":22,"doi":186,"paper":187,"created_at":202},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。","2026-10-09T00:00:00Z",70,{"impact":103,"substance":18,"depth":19,"authority":103,"freshness":89,"relevant":22,"comment":151},"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。",[153],{"name":97,"url":145},[27,29,30,155,156],"干旱区农业","植被覆盖",{"code":49,"slug":158,"name":159,"path":160,"parent_code":161},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":164,"locked":14,"version":35,"method":36,"evidence":165},"classified",{"candidates":166,"agricultural_evidence":42},[167,171,178],{"code":49,"score":101,"supported":42,"title":168,"abstract":169,"tags":170},[],[27,108],[155,27],{"code":172,"score":89,"supported":42,"title":173,"abstract":174,"tags":177},"H3",[],[175,176],"灌溉","水资源",[],{"code":55,"score":56,"supported":14,"title":179,"abstract":180,"tags":181},[],[],[29,156,30],[183,184],"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":186,"openalex_id":188,"authors":189,"venue":97,"cited_by_count":78,"oa_url":196,"card":197,"direction":84,"ingested_from":86},"W7221306668",[190,192,194],{"name":191,"orcid":9},"خولة‌ حمه‌رشید عمر",{"name":193,"orcid":9},"سایە دلاوەر محمد",{"name":195,"orcid":9},"Daban Kadhim Omar","https:\u002F\u002Fbcchj.uobabylon.edu.iq\u002Findex.php\u002Fbcchj\u002Farticle\u002Fdownload\u002F4819\u002F4866",{"tldr":198,"method":199,"finding":200,"direction":84,"opportunity":201},"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":204,"title":205,"url":206,"summary":207,"summary_zh":208,"content":9,"source_name":209,"source_url":206,"published_at":210,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":211,"score_detail":212,"sources":214,"tags":216,"primary_topic":9,"secondary_topics":219,"classification":220,"search_phrases":237,"slug":240,"view_count":78,"doi":241,"paper":242,"created_at":255},4315,"أثرتغير الحرارة والامطار على التدهور البيئي في ناحية الكوير","https:\u002F\u002Fdoi.org\u002F10.66359\u002Fitqan.v2i1.034","يتناول البحث أثر التغيرات المناخية في تدهور الغطاء النباتي بناحية الكوير خلال المدة (1990–2023)، من خلال تحليل بيانات الحرارة والأمطار، واستخدام تقنيات الاستشعار عن بعد ونظم المعلومات الجغرافية (GIS) ومؤشر الغطاء النباتي (NDVI). أظهرت النتائج ارتفاعاً في درجات الحرارة مقابل انخفاض وتذبذب كميات الأمطار، مما أدى إلى تراجع كثافة الغطاء النباتي واتساع مساحات الغطاء الضعيف، خاصة في عامي 2000 و2023 بفعل الجفاف وارتفاع التبخر. كما أكدت الدراسة وجود علاقة واضحة بين التغيرات المناخية وتدهور الغطاء النباتي، مما يبرز أهمية تبني إدارة بيئية مستدامة للحفاظ على الموارد الطبيعية في المنطقة","本研究探讨了1990年至2023年期间气候变化对科韦尔地区植被退化的影响，通过分析气温和降水数据，并运用遥感技术、地理信息系统（GIS）和植被指数（NDVI）进行研究。结果表明，气温上升而降水量减少且波动，导致植被密度下降、稀疏植被面积扩大，尤其是在2000年和2023年，干旱和蒸发加剧了这一趋势。研究还证实气候变化与植被退化之间存在明显关系，凸显了采取可持续环境管理以保护该地区自然资源的重要性。","مجلة الاتقان للعلوم الإنسانية","2026-10-04T00:00:00Z",57,{"impact":101,"substance":19,"depth":102,"authority":13,"freshness":89,"relevant":22,"comment":213},"基于遥感与GIS的伊拉克区域植被退化实证研究，方法规范但属地方性案例，公共影响有限。",[215],{"name":209,"url":206},[27,29,30,217,218],"GIS","植被退化",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":221},{"candidates":222,"agricultural_evidence":14,"reason":60},[223,227,233],{"code":49,"score":41,"supported":42,"title":224,"abstract":225,"tags":226},[],[27,108],[27],{"code":228,"score":41,"supported":42,"title":229,"abstract":230,"tags":232},"I4",[],[231,217],"地理信息",[217],{"code":55,"score":89,"supported":42,"title":234,"abstract":235,"tags":236},[],[118],[29,218,30],[238,239],"الكوير NDVI","تدهور الغطاء النباتي GIS","الكويرNDVI-4315","10.66359\u002Fitqan.v2i1.034",{"doi":241,"openalex_id":243,"authors":244,"venue":209,"cited_by_count":78,"oa_url":249,"card":250,"direction":84,"ingested_from":86},"W7219900093",[245,247],{"name":246,"orcid":9},"معن جاسم محمد",{"name":248,"orcid":9},"أ. م. د    خالد صطم عطية","https:\u002F\u002Falitqan.iraqiqsa.org\u002Findex.php\u002FAIJHS\u002Farticle\u002Fdownload\u002Fitqan-v2i1-034\u002F389",{"tldr":251,"method":252,"finding":253,"direction":84,"opportunity":254},"研究1990–2023年伊拉克Kوير地区气温降水变化对植被退化的影响。","用气温降水数据、遥感、GIS和NDVI分析植被覆盖变化。","气温升高、降水减少且波动导致植被密度下降、弱覆盖扩大，2000和2023年最严重。","可结合多源遥感与气候模型，量化干旱区植被退化驱动机制并预测未来趋势。","2026-10-06T23:30:21.747683Z",{"id":257,"title":258,"url":259,"summary":260,"summary_zh":261,"content":9,"source_name":262,"source_url":259,"published_at":263,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":264,"score_detail":265,"sources":269,"tags":271,"primary_topic":9,"secondary_topics":274,"classification":275,"search_phrases":282,"slug":285,"view_count":78,"doi":286,"paper":287,"created_at":304},4230,"Vegetation dynamics in Mizoram Northeast India from 2005 to 2025 using landsat imagery and image specific NDVI thresholding","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44415-026-00136-2","Vegetation monitoring is important for evaluating landscape change in ecologically sensitive mountain regions. This study assessed vegetation dynamics across Mizoram, India, an eastern Himalayan-extension landscape, between 2005 and 2025 using Landsat 5 Thematic Mapper and Landsat 9 Operational Land Imager\u002FThermal Infrared Sensor surface-reflectance imagery. Satellite images were processed in Google Earth Engine, and normalized difference vegetation index have been used to derive vegetation and non-vegetation areas using image-specific thresholds. Spatial overlay analysis was subsequently applied to identify vegetation persistence, gain, loss, and persistent non-vegetated land at the state and district levels.Vegetation remained the dominant mapped land-cover category in both years but declined from 20,558.8 km² (97.52%) in 2005 to 20,283.8 km² (96.20%) in 2025, representing a net reduction of 275.0 km². Gross vegetation loss is 602.0 km², exceeding gross vegetation gain of 326.9 km². Vegetation loss was spatially heterogeneous, with the largest net declines observed in Lawngtlai, Kolasib, Saiha, Aizawl, and Lunglei districts, whereas Mamit, Champhai, and Saitual recorded stable net gains. The findings provide baseline information on vegetation-extent dynamics at the state and district level in Mizoram and offer useful insights for future vegetation monitoring, forest conservation, sustainable landscape management, and land-use planning in the eastern Himalayan region.","植被监测对于评估生态敏感山区景观变化具有重要意义。本研究利用Landsat 5专题制图仪（Thematic Mapper）和Landsat 9操作陆地成像仪\u002F热红外传感器（Operational Land Imager\u002FThermal Infrared Sensor）地表反射率影像，评估了2005年至2025年间印度米佐拉姆邦——喜马拉雅东延景观区的植被动态。卫星影像在Google Earth Engine中处理，利用归一化植被指数（normalized difference vegetation index）并结合各影像特定阈值提取植被区与非植被区。随后应用空间叠加分析，在邦和县两级识别植被持续、增加、减少及持续非植被土地。两个年份中植被均为主要土地覆盖类型，但面积从2005年的20558.8 km²（97.52%）下降至2025年的20283.8 km²（96.20%），净减少275.0 km²。植被总减少面积为602.0 km²，超过总增加面积326.9 km²。植被减少在空间上呈异质性，净减少最大的县为Lawngtlai、Kolasib、Saiha、Aizawl和Lunglei，而Mamit、Champhai和Saitual则录得稳定的净增加。研究结果为米佐拉姆邦邦和县两级植被范围动态提供了基线信息，并为喜马拉雅东部地区未来的植被监测、森林保护、可持续景观管理和土地利用规划提供了有益参考。","Discover Forests","2026-10-03T00:00:00Z",65,{"impact":101,"substance":266,"depth":267,"authority":103,"freshness":21,"relevant":22,"comment":268},20,16,"基于Landsat与GEE的20年植被动态监测，方法规范、数据扎实，但属区域生态研究，与国内农业信息化关联较弱，公共价值有限。",[270],{"name":262,"url":259},[29,30,272,273,31],"Landsat","森林保护",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":276},{"candidates":277,"agricultural_evidence":14,"reason":60},[278],{"code":55,"score":56,"supported":14,"title":279,"abstract":280,"tags":281},[],[],[272,29,31,30],[283,284],"Mizoram Landsat NDVI 植被","印度东北部 植被变化 遥感","MizoramLandsatNDVI植被-4230","10.1007\u002Fs44415-026-00136-2",{"doi":286,"openalex_id":288,"authors":289,"venue":262,"cited_by_count":78,"oa_url":298,"card":299,"direction":84,"ingested_from":86},"W7218499716",[290,293,296],{"name":291,"orcid":292},"K. Lalramngaizuala","https:\u002F\u002Forcid.org\u002F0009-0005-5754-3449",{"name":294,"orcid":295},"Vishwambhar Prasad Sati","https:\u002F\u002Forcid.org\u002F0000-0001-6423-3119",{"name":297,"orcid":9},"F. C. Kypacharili","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44415-026-00136-2.pdf",{"tldr":300,"method":301,"finding":302,"direction":84,"opportunity":303},"基于Landsat影像与NDVI阈值法评估印度米佐拉姆2005—2025年植被动态。","Landsat 5\u002F9地表反射率影像，Google Earth Engine，影","植被占比由97.52%降至96.20%，净减275 km²，损失602 km²大于增益326.9 k","可引入时序NDVI与机器学习区分植被退化驱动因素，并耦合地形与政策数据做多尺度监测。","2026-10-05T23:30:25.009678Z",{"id":306,"title":307,"url":308,"summary":309,"summary_zh":310,"content":9,"source_name":311,"source_url":308,"published_at":312,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":313,"score_detail":314,"sources":317,"tags":319,"primary_topic":9,"secondary_topics":322,"classification":323,"search_phrases":339,"slug":342,"view_count":65,"doi":343,"paper":344,"created_at":362},3079,"Drought and Productivity Trends in Freshwater Flooded Forest Swamps in the North American Coastal Plain","https:\u002F\u002Fdoi.org\u002F10.64898\u002F2026.09.16.752089","Climate change has resulted in an increase in drought conditions within the southeastern United States, impacting a variety of ecosystems and species, including the freshwater flooded forest swamps of the North American Coastal Plain (NACP). With the threat of drought leading to a decline in wetlands and shifts in seasonality patterns in the NACP, there is significant concern about the effects of a drying climate on the net primary productivity of bald cypress-tupelo swamps and the potential for ecosystem degradation or conversion. This study seeks to understand the relationship between the net primary productivity of wetlands dominated by bald cypress-tupelo swamps and drought conditions. We used Moderate Resolution Imaging Spectroradiometer (MODIS) imagery from 2000 to 2024, taken from the 500 largest flooded forest swamps in the southeastern USA using Google Earth Engine, to track the changes in productivity of these swamps over time. The trends in MODIS Fraction of Absorbed Photosynthetically Active Radiation (FPAR), Normalized Difference Vegetation Index (NDVI), and Enhanced Vegetation Index (EVI) were compared against three common drought indices using seasonal decomposition and linear regression along with local bivariate spatial associations. We found that while there were small global correlations between drought and productivity metrics, the impact of droughts on these swamps is highly spatially variable, with specific geographical regions displaying differing impacts of drought and precipitation levels on the vegetation productivity. Coastal and southern regions, including the states of Texas, Florida, and Louisiana, are experiencing a decrease in precipitation but have mixed productivity trends. Meanwhile, more inland and coastal northern areas display an increase in precipitation and wetness. Overall, our results suggest that cypress-tupelo swamp productivity varies based on a variety of factors, including, but not limited to, precipitation and drought levels, but some areas may be at risk of further degradation due to drought under future climate change. Further research is encouraged to fully understand vegetation productivity in relation to environmental conditions in individual cypress-tupelo swamps.","气候变化导致美国东南部干旱状况加剧，影响了多种生态系统和物种，其中包括北美沿海平原（NACP）的淡水泛滥森林沼泽。随着干旱威胁导致湿地减少以及NACP季节性模式发生变化，人们对气候干化如何影响落羽杉-紫树沼泽的净初级生产力以及生态系统退化或转变的潜在风险深感担忧。本研究旨在理解以落羽杉-紫树沼泽为主的湿地净初级生产力与干旱状况之间的关系。我们利用Google Earth Engine获取了2000年至2024年期间美国东南部500个最大泛滥森林沼泽的中分辨率成像光谱仪（MODIS）影像，以追踪这些沼泽生产力随时间的变化。我们将MODIS光合有效辐射吸收比例（FPAR）、归一化差异植被指数（NDVI）和增强植被指数（EVI）的趋势与三种常用干旱指数进行比较，采用季节性分解和线性回归以及局部双变量空间关联方法。我们发现，尽管干旱与生产力指标之间存在较小的全局相关性，但干旱对这些沼泽的影响在空间上高度可变，特定地理区域在干旱和降水水平对植被生产力的影响方面表现出差异。沿海和南部地区，包括德克萨斯州、佛罗里达州和路易斯安那州，正在经历降水减少，但生产力趋势不一。与此同时，更内陆和沿海北部地区则显示降水和湿度增加。总体而言，我们的结果表明，落羽杉-紫树沼泽生产力受多种因素影响，包括但不限于降水和干旱水平，但在未来气候变化下，一些地区可能面临因干旱而进一步退化的风险。我们鼓励进一步研究，以充分理解单个落羽杉-紫树沼泽中植被生产力与环境条件的关系。","bioRxiv (Cold Spring Harbor Laboratory)","2026-09-18T00:00:00Z",69,{"impact":103,"substance":266,"depth":315,"authority":103,"freshness":101,"relevant":22,"comment":316},17,"基于MODIS 2000-2024年长时序遥感数据评估干旱对北美柏树-图珀洛沼泽生产力的空间异质性影响，方法规范、数据规模大，对湿地生态遥感监测有参考价值，但属基础生态研究，与国内三农信息化直接关联有限。",[318],{"name":311,"url":308},[27,29,30,320,321],"湿地生态","植被生产力",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":324},{"candidates":325,"agricultural_evidence":14,"reason":60},[326,331,335],{"code":49,"score":19,"supported":42,"title":327,"abstract":329,"tags":330},[328],"drought",[27,108,52,328],[27],{"code":55,"score":65,"supported":14,"title":332,"abstract":333,"tags":334},[],[],[29,30],{"code":40,"score":22,"supported":14,"title":336,"abstract":337,"tags":338},[],[],[320],[340,341],"北美沿海平原 柏树湿地 干旱","MODIS NDVI 湿地生产力","北美沿海平原柏树湿地干旱-3079","10.64898\u002F2026.09.16.752089",{"doi":343,"openalex_id":345,"authors":346,"venue":311,"cited_by_count":78,"oa_url":356,"card":357,"direction":84,"ingested_from":86},"W7213557702",[347,350,353],{"name":348,"orcid":349},"Isabel Holland","https:\u002F\u002Forcid.org\u002F0000-0002-6416-7729",{"name":351,"orcid":352},"Kayla Stan","https:\u002F\u002Forcid.org\u002F0000-0002-2159-3090",{"name":354,"orcid":355},"Clay S. Tucker","https:\u002F\u002Forcid.org\u002F0000-0002-3283-171X","https:\u002F\u002Fwww.biorxiv.org\u002Fcontent\u002Fbiorxiv\u002Fearly\u002F2026\u002F09\u002F18\u002F2026.09.16.752089.full.pdf",{"tldr":358,"method":359,"finding":360,"direction":84,"opportunity":361},"用MODIS遥感追踪北美沿海平原500个沼泽林2000-2024年生产力与干旱关系。","MODIS FPAR\u002FNDVI\u002FEVI与三种干旱指数，季节分解、线性回归及双变量","干旱对沼泽生产力影响空间高度异质，沿海南部降水减少但生产力趋势不一。","可结合高分辨率遥感与地面通量数据，解析单个沼泽林生产力对干旱的非线性响应机制。","2026-09-21T23:30:27.308588Z",{"id":364,"title":365,"url":366,"summary":367,"summary_zh":368,"content":9,"source_name":369,"source_url":366,"published_at":370,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":371,"score_detail":372,"sources":374,"tags":376,"primary_topic":379,"secondary_topics":380,"classification":381,"search_phrases":392,"slug":395,"view_count":56,"doi":396,"paper":397,"created_at":416},3072,"APPLICATION OF SENTINEL-2 DATA TO ASSESS SEASONAL VEGETATION DYNAMICS IN THE IALPUG RIVER BASIN, SOUTHERN PART OF THE REPUBLIC OF MOLDOVA","https:\u002F\u002Fdoi.org\u002F10.21163\u002Fgt_2027.221.06","This study uses Sentinel-2 imagery to characterize seasonal vegetation dynamics in the analysed part of the Ialpug River Basin from March to October 2025.Monthly NDVI, month-to-month NDVI differences (ΔNDVI) and mean NDVI were calculated to describe vegetation greenness, the direction and magnitude of change between observations, and average greenness across the study period.The results show spring greening followed by spatially contrasting changes in early summer.Moderate vegetation cover occupied its largest share in April, while dense vegetation reached its maximum extent in June.The most widespread decline occurred between June and July, when 54.18% of the study area recorded an NDVI decrease exceeding 0.1.Very sparse vegetation reached its greatest extent in September, followed by limited greening in October.The mean NDVI classification placed 69.20% of the study area in the sparse vegetation class and 24.49% in the very sparse vegetation class, indicating predominantly low to intermediate average greenness across the selected observations.These classes do not establish persistent vegetation conditions or directly identify land-cover types.The summer decline coincided with documented regional drought conditions, but the analysis did not separate climatic effects from crop development, harvesting or other seasonal processes.The combined indicators provide complementary information for identifying areas with pronounced seasonal decline or low average greenness.Multi-year observations and independent climatic, land-cover and field evidence are required to determine the causes of these patterns and assess their longer-term environmental significance.","本研究利用Sentinel-2影像刻画了雅尔普格河（Ialpug River）流域分析区2025年3月至10月的季节性植被动态。通过计算逐月NDVI、月际NDVI差值（ΔNDVI）及平均NDVI，以描述植被绿度、观测间变化的方向与幅度以及研究期内的平均绿度。结果表明，春季出现绿化，随后在初夏呈现空间分异的变化。中度植被覆盖在4月占比最大，而茂密植被在6月达到最大范围。最广泛的下降发生在6月至7月之间，届时研究区54.18%的面积NDVI下降超过0.1。极稀疏植被在9月达到最大范围，随后在10月出现有限绿化。平均NDVI分类将研究区69.20%的面积归为稀疏植被类，24.49%归为极稀疏植被类，表明所选观测期内平均绿度以低至中等为主。这些类别并不确立持续的植被状况，也不直接识别土地覆盖类型。夏季下降与已记录的区域干旱条件相吻合，但分析未将气候影响与作物发育、收割或其他季节性过程区分开来。综合指标为识别季节性下降显著或平均绿度较低的区域提供了互补信息。要确定这些格局的成因并评估其长期环境意义，尚需多年观测以及独立的气候、土地覆盖和野外证据。","Geographia Technica","2026-09-19T00:00:00Z",61,{"impact":101,"substance":19,"depth":102,"authority":103,"freshness":101,"relevant":22,"comment":373},"基于Sentinel-2的流域植被季节性动态遥感研究，方法规范、数据翔实，但属区域性案例，对国内农业信息化仅有方法借鉴价值。",[375],{"name":369,"url":366},[29,30,31,377,378],"干旱影响","摩尔多瓦",{"code":49,"slug":158,"name":159,"path":160,"parent_code":161},[],{"status":164,"locked":14,"version":35,"method":36,"evidence":382},{"candidates":383,"agricultural_evidence":42},[384,388],{"code":49,"score":89,"supported":42,"title":385,"abstract":386,"tags":387},[],[108,328],[],{"code":55,"score":56,"supported":14,"title":389,"abstract":390,"tags":391},[],[],[29,31,30],[393,394],"摩尔多瓦 NDVI 植被动态","干旱影响 摩尔多瓦 植被动态 遥感监测","摩尔多瓦NDVI植被动态-3072","10.21163\u002Fgt_2027.221.06",{"doi":396,"openalex_id":398,"authors":399,"venue":369,"cited_by_count":78,"oa_url":410,"card":411,"direction":84,"ingested_from":86},"W7213674461",[400,403,405,408],{"name":401,"orcid":402},"Ecaterina MELNICENCO","https:\u002F\u002Forcid.org\u002F0000-0002-2706-9417",{"name":404,"orcid":9},"Viorica ANGHELUȚA",{"name":406,"orcid":407},"Iradion Jechiu","https:\u002F\u002Forcid.org\u002F0000-0001-9582-0615",{"name":409,"orcid":9},"Iurie BEJAN","https:\u002F\u002Ftechnicalgeography.org\u002Fpdf\u002F1_2027\u002F06_melnicenco.pdf",{"tldr":412,"method":413,"finding":414,"direction":84,"opportunity":415},"用Sentinel-2影像分析摩尔多瓦Ialpug河流域2025年3-10月植被季节动态。","Sentinel-2月度NDVI、ΔNDVI与均值NDVI分类，覆盖2025年3","6-7月54.18%区域NDVI降幅超0.1，均值NDVI以稀疏植被为主（69.20%）。","可结合多年遥感与气候、物候及田间数据，分离干旱与作物管理对NDVI下降的贡献。","2026-09-21T23:30:25.567291Z"]