[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3361":3,"related-3361":92},{"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":65,"slug":68,"view_count":69,"doi":70,"paper":71,"created_at":91},3361,"Spatiotemporal Patterns and Associations of Ecological Quality and Carbon Storage Across Three Major Agricultural Provinces in Central China","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fland15101781","Ecological quality, vegetation productivity, and carbon storage represent different ecosystem properties and may respond differently to land-use change. This study assessed their spatiotemporal patterns and spatial relationships across Hubei, Henan, and Anhui, three major agricultural provinces in central China. Ecological quality was assessed using the Remote Sensing Ecological Index (RSEI), vegetation productivity was estimated as net primary productivity (NPP) using the Carnegie–Ames–Stanford Approach (CASA) model, and carbon storage was estimated using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. Spearman correlation, GeoDetector, and a descriptive coordination index were used to compare their spatial relationships. Ecological quality declined from 2000 to 2010 and recovered only modestly thereafter, with persistently lower values in the eastern and northern plains than in the western and southern mountains. From 1990 to 2020, built-up land expanded by 112.03%, while model-estimated carbon storage declined by 34.59 × 106 t. RSEI and NPP were predominantly positively correlated, but correlations varied substantially among provinces, ecological-quality classes, and land-use types. RSEI had the greatest explanatory power for spatial variation in carbon storage among the composite factors (q = 0.420–0.467), and NDVI was the strongest RSEI component. GeoDetector identified bivariate and nonlinear enhancement, indicating that paired factors explained more spatial variation than individual factors. Moderate and primary coordination together accounted for more than 99% of valid pixels, while severe imbalance declined from 0.88% to 0.44%. These findings show that the three indicators are spatially associated but not interchangeable. Together, the results support protecting forested mountain areas, limiting built-up expansion and cropland loss in plains and urban fringes, and using multiple indicators to identify areas requiring local assessment.","生态质量、植被生产力与碳储量表征不同的生态系统属性，可能对土地利用变化作出不同响应。本研究评估了华中三个农业大省——湖北、河南和安徽——上述指标的时空格局及其空间关系。生态质量采用遥感生态指数（RSEI）评估，植被生产力以Carnegie–Ames–Stanford Approach（CASA）模型估算的净初级生产力（NPP）表征，碳储量则采用生态系统服务与权衡综合评估（InVEST）模型估算。运用Spearman相关分析、地理探测器及描述性协调指数比较其空间关系。2000—2010年生态质量下降，此后仅略有恢复，东部和北部平原的值持续低于西部和南部山区。1990—2020年，建设用地扩张112.03%，而模型估算的碳储量下降34.59 × 10⁶ t。RSEI与NPP总体呈正相关，但相关性在各省份、生态质量等级和土地利用类型间差异显著。在复合因子中，RSEI对碳储量空间变异的解释力最强（q = 0.420–0.467），NDVI是RSEI中最强的组分。地理探测器识别出双因子和非线性增强，表明成对因子解释的空间变异多于单因子。中度协调和初级协调合计占有效像元的99%以上，而严重失调从0.88%降至0.44%。研究结果表明，三个指标在空间上相互关联但不可互换。综合而言，研究结果支持保护山地森林区域、限制平原和城市边缘的建设用地扩张与耕地流失，并利用多指标识别需开展局部评估的区域。",null,"Land","2026-09-23T00:00:00Z","论文",10,false,78,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},16,22,18,14,8,1,"基于RSEI、CASA与InVEST模型对中部三大农业省生态质量与碳储量的长时序空间关联分析，方法规范、数据扎实，对农业生态保护与国土空间管控有参考价值。",[25],{"name":10,"url":6},[27,28,29,30,31],"农业生态","遥感监测","土地利用变化","生态质量","碳储量",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":47},[45,53,60],{"code":33,"score":46,"supported":47,"title":48,"abstract":49,"tags":52},7,true,[],[50,51],"遥感","remote sensing",[28],{"code":54,"score":55,"supported":47,"title":56,"abstract":57,"tags":59},"H6",6,[],[58],"生态系统服务",[27,29,30],{"code":61,"score":22,"supported":14,"title":62,"abstract":63,"tags":64},"H4",[],[],[31],[66,67],"湖北 河南 安徽 农业生态","RSEI 碳储量 遥感","湖北河南安徽农业生态-3361",4,"10.3390\u002Fland15101781",{"doi":70,"openalex_id":72,"authors":73,"venue":10,"cited_by_count":82,"oa_url":6,"card":83,"direction":89,"ingested_from":90},"W7214114544",[74,76,79],{"name":75,"orcid":9},"Xiaohan Liu",{"name":77,"orcid":78},"Lei Wang","https:\u002F\u002Forcid.org\u002F0000-0002-7163-3644",{"name":80,"orcid":81},"Hui Min Zhao","https:\u002F\u002Forcid.org\u002F0000-0001-7587-1116",0,{"tldr":84,"method":85,"finding":86,"direction":87,"opportunity":88},"评估中部三大农业省生态质量、植被生产力与碳储量的时空格局及空间关联。","用RSEI、CASA模型、InVEST模型结合Spearman相关、GeoDet","生态质量先降后微升，建设用地增112%，碳储减3459万吨；三指标空间关联但不可互换。","农业绿色发展与碳","可探究不同农业省土地利用变化下生态质量与碳储量的非线性驱动机制及分区管控策略。","农业遥感与作物表型","openalex","2026-09-24T23:30:20.927597Z",{"total":55,"page":22,"page_size":55,"items":93},[94,186,251,339,410,471],{"id":95,"title":96,"url":97,"summary":98,"summary_zh":99,"content":9,"source_name":100,"source_url":101,"published_at":102,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":103,"sources":106,"tags":108,"primary_topic":112,"secondary_topics":113,"classification":114,"search_phrases":144,"slug":147,"view_count":82,"doi":148,"paper":149,"created_at":185},5183,"Zionist Entity Settlement Expansion and Agricultural Land Conversion in the West Bank, Palestine (2011–2026): A Multi-Temporal Remote Sensing Analysis","https:\u002F\u002Fdoi.org\u002F10.63318\u002Fwaujpasv4i2_60","أُجريت هذه الدراسة لتقييم التغيرات في أنماط الاستيطان التابعة للكيان الصهيوني في الضفة الغربية بفلسطين، وذلك خلال الفترة الممتدة من عام 2011 إلى عام 2026، مع التركيز بشكل خاص على التغيرات التي طرأت على الأراضي الزراعية. وقد وظّف البحث تقنيات الاستشعار عن بعد لتحليل البيانات وتقييم اتجاهات التوسع الاستيطاني في المنطقة المختارة؛ حيث استخدم الباحثون صور الأقمار الصناعية ونظم المعلومات الجغرافية لرصد نمو المستوطنات، وتحديد المناطق المطوّرة حديثاً، ودراسة التغيرات في الغطاء الأرضي. وهدفت الدراسة إلى تحليل المناطق المبنية، والأراضي الزراعية، والغطاء النباتي، والأراضي القاحلة، والموارد المائية، فضلاً عن تحديد بؤر التوسع الاستيطاني، والمقارنة بين التجمعات الاستيطانية المختارة، ورصد التغيرات في شبكة الطرق، ودراسة التحولات في استخدامات الأراضي داخل المنطقة. ولتحقيق أهداف الدراسة، اعتمد الباحثون على مزيج من المنهجيات التي تشمل تصنيف الصور، وكشف التغيرات، وتحليل التراكب، وتحليل البؤر الساخنة. وتمثّل الهدف الرئيسي للدراسة في إرساء أساس لفهم انتشار المستوطنات ورصد التغيرات المرتبطة بالزراعة والتجمعات السكانية المجاورة بشكل أفضل، وذلك بالاستعانة بتقنيات الاستشعار عن بعد ونظم المعلومات الجغرافية.","本研究旨在评估2011年至2026年期间巴勒斯坦约旦河西岸犹太复国主义实体定居模式的变化，特别关注农业用地的变化。研究采用遥感技术分析数据并评估所选地区定居点扩张的趋势；研究人员利用卫星图像和地理信息系统监测定居点的增长、确定新开发区域并研究地表覆盖变化。研究旨在分析建成区、农业用地、植被覆盖、干旱土地和水资源，并确定定居点扩张的热点区域，比较选定的定居点集群，监测道路网络的变化，以及研究区域内土地利用的转变。为实现研究目标，研究人员采用了多种方法相结合的方式，包括图像分类、变化检测、叠加分析和热点分析。研究的主要目标是为理解定居点的扩散以及更好地监测与农业和邻近居民点相关的变化奠定基础，借助遥感技术和地理信息系统实现这一目标。","Wadi Alshatti University Journal of Pure and Applied Sciences","https:\u002F\u002Fwaujpas.com\u002Findex.php\u002Fjournal\u002Farticle\u002Fview\u002F775","2026-10-15T00:00:00Z",{"impact":19,"substance":18,"depth":19,"authority":104,"freshness":21,"relevant":22,"comment":105},12,"该研究利用多时相遥感与GIS定量分析2011–2026年西岸定居点扩张导致的农地转换，方法规范、数据跨度长，对农业土地变化监测有参考价值，但地域性强、政策关联度有限，可作国际农业遥感案例收录。",[107],{"name":100,"url":101},[28,29,109,110,111],"GIS","农地非农化","巴勒斯坦农业",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":115},{"candidates":116,"agricultural_evidence":47},[117,121,127,134,140],{"code":33,"score":104,"supported":47,"title":118,"abstract":119,"tags":120},[51],[50],[28],{"code":122,"score":69,"supported":47,"title":123,"abstract":124,"tags":126},"I4",[],[125],"地理信息",[109],{"code":128,"score":129,"supported":47,"title":130,"abstract":131,"tags":133},"H3",3,[],[132],"水资源",[],{"code":135,"score":129,"supported":47,"title":136,"abstract":137,"tags":139},"H7",[],[138],"干旱",[],{"code":54,"score":22,"supported":14,"title":141,"abstract":142,"tags":143},[],[],[29],[145,146],"West Bank 遥感 农地变化","巴勒斯坦 定居点 农地转换","WestBank遥感农地变化-5183","10.63318\u002Fwaujpasv4i2_60",{"doi":148,"openalex_id":150,"authors":151,"venue":100,"cited_by_count":82,"oa_url":101,"card":180,"direction":89,"ingested_from":90},"W7222438368",[152,154,156,158,161,163,165,167,169,171,174,175,176,178],{"name":153,"orcid":9},"أسامة الشلطامي",{"name":155,"orcid":9},"مصطفى بن حكومة",{"name":157,"orcid":9},"حمزة الماطوني",{"name":159,"orcid":160},"Ramzi SALEM","https:\u002F\u002Forcid.org\u002F0000-0003-1539-1596",{"name":162,"orcid":9},"Mansour Salem",{"name":164,"orcid":9},"هالة الخزندار",{"name":166,"orcid":9},"ياسر نصار",{"name":168,"orcid":9},"Osama Shaltami",{"name":170,"orcid":9},"Mustafa Ben Hkoma",{"name":172,"orcid":173},"HAMZA AL MATONI","https:\u002F\u002Forcid.org\u002F0000-0002-4748-065X",{"name":159,"orcid":160},{"name":162,"orcid":9},{"name":177,"orcid":9},"Hala El-Khozondar",{"name":179,"orcid":9},"Yasser Nassar",{"tldr":181,"method":182,"finding":183,"direction":89,"opportunity":184},"用多时相遥感分析2011–2026年约旦河西岸定居点扩张及农地转化。","多时相卫星影像与GIS，结合影像分类、变化检测、叠加和热点分析。","定居点扩张显著侵占农地与植被，道路网络扩展驱动土地利用转变。","可延伸至多时相遥感监测土地权属冲突区农地流失，结合高分影像与开放GIS做定量归因。","2026-10-17T23:30:32.831824Z",{"id":187,"title":188,"url":189,"summary":190,"summary_zh":191,"content":9,"source_name":192,"source_url":189,"published_at":193,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":194,"sources":196,"tags":198,"primary_topic":202,"secondary_topics":203,"classification":204,"search_phrases":226,"slug":229,"view_count":82,"doi":230,"paper":231,"created_at":250},4900,"Landscape fragmentation and carbon storage dynamics under co-evolving governance in the Shaanxi Yellow River wetland","https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-026-67308-0","Wetland sustainability emerges from coupled interactions among governance, hydrology, land-use change, landscape structure and ecosystem services. Guided by Evolutionary Governance Theory, this study examines their co-evolution in the Shaanxi Yellow River Wetland from 1992 to 2023. Governance trajectories, hydrological dynamics and human land-use processes are treated as interacting antecedent conditions expressed through land use\u002Fland cover transitions, while multidimensional landscape fragmentation and land use\u002Fland cover-based estimated carbon storage are assessed as complementary structural and functional outcomes. Descriptive policy-document frequency and milestone analyses, multi-source remote sensing, the Integrated Landscape Fragmentation Index, InVEST carbon modelling, spatial autocorrelation, and overlay analysis were integrated to examine the relationships between governance evolution, landscape fragmentation and carbon storage. Estimated total carbon storage increased by 34.64%. Fragmentation, however, followed a fluctuating trajectory, intensifying through 2010, temporarily easing in 2020 and increasing again by 2023, with persistent spatial hotspots. High estimated carbon storage repeatedly co-occurred with high fragmentation, indicating heterogeneous pattern–function alignment and mismatch rather than uniform ecological recovery. Interpreted contextually, these trajectories show that more frequent policy issuance and increasing legal integration coexisted with hydrological variability, cropland transitions, aquaculture expansion and path-dependent land-use pressures. Carbon-storage gains alone therefore cannot indicate landscape recovery. Adaptive wetland governance should align restoration with hydrological processes, landscape configuration and multiple ecosystem functions.","湿地可持续性源于治理、水文、土地利用变化、景观结构与生态系统服务之间的耦合互动。本研究以演化治理理论为指导，考察1992年至2023年陕西黄河湿地上述要素的共演化过程。治理轨迹、水文动态与人类土地利用过程被视为相互作用的前置条件，并通过土地利用\u002F土地覆盖转移加以表征；而多维景观破碎化与基于土地利用\u002F土地覆盖估算的碳储量则作为互补的结构性与功能性结果予以评估。研究综合运用描述性政策文件频次与里程碑分析、多源遥感、综合景观破碎化指数、InVEST碳模型、空间自相关及叠加分析，以考察治理演化、景观破碎化与碳储量之间的关系。估算碳储量总量增加了34.64%。然而，破碎化呈波动轨迹，至2010年持续加剧，2020年暂时缓解，到2023年再度上升，并存在持续的空间热点。高估算碳储量与高破碎化反复共现，表明格局—功能关系呈现异质性的一致与错配，而非均质的生态恢复。结合语境加以解读，这些轨迹表明，政策发布频率增加与法律整合程度提高，与水文变异性、耕地转移、水产养殖扩张及路径依赖型土地利用压力并存。因此，仅凭碳储量增益无法表明景观恢复。适应性湿地治理应将恢复与水文过程、景观配置及多重生态系统功能相协调。","Scientific Reports","2026-10-12T00:00:00Z",{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":195},"基于多源遥感与InVEST模型揭示陕西黄河湿地治理—景观—碳储协同演化，方法扎实、结论有政策参考价值。",[197],{"name":192,"url":189},[28,199,31,200,201],"湿地保护","生态治理","景观破碎化",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":205},{"candidates":206,"agricultural_evidence":47},[207,211,218,222],{"code":33,"score":46,"supported":47,"title":208,"abstract":209,"tags":210},[],[50,51],[28],{"code":212,"score":55,"supported":47,"title":213,"abstract":214,"tags":217},"D",[],[215,216],"水产","aquaculture",[],{"code":54,"score":69,"supported":47,"title":219,"abstract":220,"tags":221},[],[58],[199],{"code":61,"score":22,"supported":14,"title":223,"abstract":224,"tags":225},[],[],[31],[227,228],"陕西黄河湿地 碳储量","黄河湿地 景观破碎化","陕西黄河湿地碳储量-4900","10.1038\u002Fs41598-026-67308-0",{"doi":230,"openalex_id":232,"authors":233,"venue":192,"cited_by_count":82,"oa_url":244,"card":245,"direction":89,"ingested_from":90},"W7221528662",[234,236,239,242],{"name":235,"orcid":9},"Menghan Gao",{"name":237,"orcid":238},"Khai Ern Lee","https:\u002F\u002Forcid.org\u002F0000-0002-1463-3787",{"name":240,"orcid":241},"Aida Soraya Shamsuddin","https:\u002F\u002Forcid.org\u002F0000-0001-5212-7714",{"name":243,"orcid":9},"Bing He","https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41598-026-67308-0_reference.pdf",{"tldr":246,"method":247,"finding":248,"direction":87,"opportunity":249},"研究陕西黄河湿地1992-2023年治理、景观破碎化与碳储量的协同演变关系。","政策文本分析、多源遥感、景观破碎化指数、InVEST碳模型与空间自相关。","碳储量增34.64%，但破碎化波动加剧，高碳储量与高破碎化反复共存。","可探究治理政策频率与景观格局错配机制，构建水文-格局-碳功能协同的适应性治理评估框架。","2026-10-14T23:30:28.853576Z",{"id":252,"title":253,"url":254,"summary":255,"summary_zh":256,"content":9,"source_name":257,"source_url":254,"published_at":258,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":259,"score_detail":260,"sources":263,"tags":265,"primary_topic":269,"secondary_topics":275,"classification":277,"search_phrases":299,"slug":302,"view_count":82,"doi":303,"paper":304,"created_at":338},4366,"Article topic: comprehensive assessment of soil and flora contamination by heavy metals in the zone of influence of the Nikolaevskaya enrichment plant","https:\u002F\u002Fdoi.org\u002F10.51886\u002F1999-740x_2026_3_46","Agricultural lands in East Kazakhstan region cover a significant area, with large portions of pasture and cropland situated in close proximity to operating industrial facilities. Despite this, no comprehensive integrated assessment combining remote sensing, ground-based soil monitoring, and flora survey had previously been conducted for the zone of influence of the Nikolaevskaya enrichment plant. This study aimed to fill that gap by a 40-year land cover analysis (1985-2024) using publicly available satellite data processed in Google Earth Engine with soil sampling and vegetation surveys across 17 sites. Soil analyses revealed not only elevated heavy metal concentrations but also a sharp pH decrease, conditions under which heavy metals become significantly more mobile and available for plant uptake. Technosol formation was observed at multiple sampling points, indicating a permanent transformation of the natural soil profile. The flora survey recorded 72 species from 62 genera, with ruderal and synanthropic species domina-ting disturbed habitats and native species persisting only at control points more distant from the facility. Taken together, these findings point to ongoing ecosystem degradation and raise concrete concerns for the regional food chain given the pastureland and cropland adjacent to the plant.","东哈萨克斯坦地区的农业用地面积广阔，其中大片牧场和农田与正在运营的工业设施相距不远。尽管如此，此前尚未针对尼古拉耶夫斯克选矿厂影响区域开展过将遥感、地面土壤监测与植物区系调查相结合的综合评估。本研究旨在填补这一空白，通过为期40年的土地覆盖分析（1985—2024年），利用Google Earth Engine处理的公开卫星数据，并结合17个样点的土壤采样与植被调查。土壤分析不仅揭示了重金属浓度升高，还发现pH值急剧下降，在这种条件下，重金属的迁移性和植物可利用性显著增强。在多个采样点观察到技术土（Technosol）的形成，表明自然土壤剖面发生了永久性改变。植物区系调查共记录到62属72种植物，其中扰动生境以杂草类和伴人植物物种为主，原生物种仅存于距设施较远的对照点。综合来看，这些发现表明生态系统正在持续退化，并且鉴于该厂邻近牧场和农田，对区域食物链构成了切实的担忧。","Pochvovedenie i agrokhimiya","2026-10-05T00:00:00Z",73,{"impact":104,"substance":18,"depth":19,"authority":261,"freshness":21,"relevant":22,"comment":262},13,"结合40年遥感与地面采样的重金属污染综合评估，方法扎实、结论具体，但属区域案例研究，公共影响有限。",[264],{"name":257,"url":254},[266,27,28,267,268],"耕地保护","Google Earth Engine","土壤重金属",{"code":270,"slug":271,"name":272,"path":273,"parent_code":274},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil","H",[276],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":278},{"candidates":279,"agricultural_evidence":47},[280,286,290,295],{"code":270,"score":281,"supported":47,"title":282,"abstract":283,"tags":285},15,[271],[284,271],"土壤",[268],{"code":33,"score":21,"supported":47,"title":287,"abstract":288,"tags":289},[],[50,51],[267,28],{"code":291,"score":22,"supported":14,"title":292,"abstract":293,"tags":294},"H1",[],[],[266],{"code":54,"score":22,"supported":14,"title":296,"abstract":297,"tags":298},[],[],[27],[300,301],"Nikolaevskaya 选矿厂 土壤污染","东哈萨克斯坦 农田 重金属","Nikolaevskaya选矿厂土壤污染-4366","10.51886\u002F1999-740x_2026_3_46",{"doi":303,"openalex_id":305,"authors":306,"venue":257,"cited_by_count":82,"oa_url":332,"card":333,"direction":89,"ingested_from":90},"W7220713350",[307,310,312,315,318,321,324,327,330],{"name":308,"orcid":309},"Yuliya Tugunova","https:\u002F\u002Forcid.org\u002F0009-0006-1037-1480",{"name":311,"orcid":9},"M. Altynbayeva",{"name":313,"orcid":314},"Жанар Абилда","https:\u002F\u002Forcid.org\u002F0000-0001-8505-5243",{"name":316,"orcid":317},"Рахим Канат","https:\u002F\u002Forcid.org\u002F0009-0009-2418-5920",{"name":319,"orcid":320},"Abylay Begaly","https:\u002F\u002Forcid.org\u002F0009-0009-2848-336X",{"name":322,"orcid":323},"D. Kairkhanov","https:\u002F\u002Forcid.org\u002F0009-0006-1017-1980",{"name":325,"orcid":326},"Iskander Isgandarov","https:\u002F\u002Forcid.org\u002F0009-0001-4386-3303",{"name":328,"orcid":329},"ELENA A. ISAKOVA","https:\u002F\u002Forcid.org\u002F0000-0002-9056-6504",{"name":331,"orcid":9},"Kh. Choi","https:\u002F\u002Fjournal.soil.kz\u002Fjour\u002Farticle\u002Fdownload\u002F1135\u002F802",{"tldr":334,"method":335,"finding":336,"direction":87,"opportunity":337},"综合遥感、土壤采样与植被调查，评估哈萨克斯坦一选矿厂影响区40年重金属污染与生态退化。","Google Earth Engine处理1985-2024卫星数据，结合17个","土壤重金属升高且pH骤降，重金属迁移性增强，形成技术土，植被以杂草为主，威胁食物链。","可延伸研究重金属活化与pH耦合机制，并构建污染区农田食物链风险预警模型。","2026-10-07T23:30:29.146414Z",{"id":340,"title":341,"url":342,"summary":343,"summary_zh":344,"content":9,"source_name":345,"source_url":342,"published_at":346,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":82,"score_detail":347,"sources":349,"tags":351,"primary_topic":354,"secondary_topics":355,"classification":356,"search_phrases":388,"slug":391,"view_count":129,"doi":392,"paper":393,"created_at":409},4028,"Monitoring Spatiotemporal Change in Al-Madinah Al-Munawarah City, Western Saudi Arabia, and Its Potential Implications on Surface and Groundwater Resources: An Approach Using Geospatial Techniques (1965–2025)","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fgeographies6040099","This study explores the potential implications of rapid urban growth and land use\u002Fland cover (LULC) changes in Al-Madinah Al-Munawarah city on water resources. The methodology highlights the efficiency of geospatial techniques (remote sensing and geographic information systems) for mapping, identifying, understanding, and measuring the spatiotemporal dynamics and change rates of different LULC categories over 60 years (1965–2025). The change detection analysis of multisource and multitemporal data reveals substantial modifications in the initial landscape configuration, in which the human footprint was insignificant. The primary dominant driver of change is human activity (an exponential urban extension whose area increased from 15.2 km2 to 472 km2, or more than 3000%, and agricultural area for more than 190%) at the expense of natural landform features. The greatest urban growth was registered during 1986–2009. The alluvial fan and alluvial plain lost more area than all other LULC classes (more than 57%). The lava sheet also recorded a very sharp decline—the second largest in terms of area after the alluvial plain, with a loss of surface area of around 12%. The mountains and hills experienced a very limited loss of surface area (less than 2%). These changes linked to human pressures, combined with climate change, involved modifications to natural hydrological processes, disturbance of natural drainage pathways in different parts of the city, destruction of small streams, intensification of drainage density, and risk of flash flooding. The urban extension also led to the modification of groundwater level dynamics. These effects will increase environmental challenges for the city’s development plan.","本研究探讨了麦地那市快速城市增长与土地利用\u002F土地覆盖（LULC）变化对水资源的潜在影响。研究方法凸显了地理空间技术（遥感和地理信息系统）在制图、识别、理解和测量60年间（1965—2025年）不同土地利用\u002F土地覆盖类别的时空动态及变化速率方面的高效性。对多源和多时相数据的变化检测分析揭示了初始景观格局的重大改变，而此前人类活动的影响微乎其微。变化的主要驱动因素是人类活动（城市面积呈指数级扩张，从15.2 km²增至472 km²，增幅超过3000%；农业面积增幅超过190%），其扩张以牺牲自然地貌特征为代价。城市增长最为显著的时期为1986—2009年。冲积扇和冲积平原的损失面积超过所有其他土地利用\u002F土地覆盖类别（超过57%）。熔岩台地也呈现出急剧下降——面积损失仅次于冲积平原，位居第二，地表面积损失约12%。山地和丘陵的地表面积损失非常有限（不足2%）。这些与人类压力相关的变化，加之气候变化，导致了自然水文过程的改变、城市不同区域自然排水通道的扰动、小型溪流的破坏、排水密度的加剧以及山洪暴发的风险。城市扩张还导致了地下水位动态的改变。这些影响将加剧该市发展规划所面临的环境挑战。","Geographies","2026-10-01T00:00:00Z",{"impact":82,"substance":82,"depth":82,"authority":82,"freshness":82,"relevant":82,"comment":348},"研究对象为沙特麦地那城市扩张与水资源，属城市遥感与水文领域，与三农、农业信息化、智慧农业无直接关联，不建议进入每日精选。",[350],{"name":345,"url":342},[28,29,352,353],"城市扩张","地下水资源",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":357},{"candidates":358,"agricultural_evidence":47},[359,363,369,374,378,384],{"code":33,"score":46,"supported":47,"title":360,"abstract":361,"tags":362},[],[50,51],[28],{"code":135,"score":55,"supported":47,"title":364,"abstract":365,"tags":368},[],[366,367],"气候变化","climate change",[],{"code":122,"score":55,"supported":47,"title":370,"abstract":371,"tags":373},[],[125,372],"geographic information",[],{"code":128,"score":129,"supported":47,"title":375,"abstract":376,"tags":377},[],[132],[],{"code":379,"score":129,"supported":47,"title":380,"abstract":381,"tags":383},"I7",[],[382],"研究方法",[],{"code":54,"score":22,"supported":14,"title":385,"abstract":386,"tags":387},[],[],[29],[389,390],"Al-Madinah 城市扩张 地下水","遥感 土地利用 变化检测","Al-Madinah城市扩张地下水-4028","10.3390\u002Fgeographies6040099",{"doi":392,"openalex_id":394,"authors":395,"venue":345,"cited_by_count":82,"oa_url":342,"card":404,"direction":89,"ingested_from":90},"W7215069931",[396,399,402],{"name":397,"orcid":398},"Mohamed Daoudi","https:\u002F\u002Forcid.org\u002F0000-0003-4219-7860",{"name":400,"orcid":401},"Abdoul Jelil Niang","https:\u002F\u002Forcid.org\u002F0000-0003-4609-6055",{"name":403,"orcid":9},"KHALID AL-GHAMDI",{"tldr":405,"method":406,"finding":407,"direction":89,"opportunity":408},"用遥感与GIS分析沙特麦地那60年城市扩张及其对水土资源的影响。","多源多时相遥感影像与GIS变化检测，1965–2025年LULC分类。","城区扩张超3000%，冲积扇平原损失逾57%，改变水文过程并加剧洪水风险。","可结合气候情景与水文模型，量化城市扩张对地下水补给和洪水风险的长期耦合影响。","2026-10-02T23:30:24.624803Z",{"id":411,"title":412,"url":413,"summary":414,"summary_zh":415,"content":9,"source_name":416,"source_url":413,"published_at":417,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":418,"score_detail":419,"sources":422,"tags":424,"primary_topic":428,"secondary_topics":429,"classification":430,"search_phrases":451,"slug":454,"view_count":69,"doi":455,"paper":456,"created_at":470},3907,"Land use and land cover change in the Okavango Delta, Botswana: integrating remote sensing and community perspectives on change drivers","https:\u002F\u002Fdoi.org\u002F10.1080\u002F0035919x.2026.2731206","Land use and land cover change is a complex process triggered by either natural or anthropogenic factors. It has important implications for socioeconomic development and environmental sustainability. The present study assessed the dynamics of LULC in Shakawe and Gumare villages of northern Botswana from 1990 to 2023. The study also analysed stakeholders’ perceptions regarding the causes of LULC transformations. The drivers and patterns of land use and land cover change (LULCC) were identified by adopting satellite imagery analysis and a survey approach. The study employed supervised digital image classification and change detection techniques in combination with structured surveys to capture stakeholders’ perceptions. The results show urbanisation and agriculture are the dominant drivers of LULCC, leading to notable alterations in built-up areas, vegetation cover, and infrastructure development. The growth of population and economic activities play a role in shaping LULC dynamics in the study area. Findings also show that the built-up areas in Shakawe increased from 0.97 km2 to 2.02 km2 and from 0.26 km2 to 1.30 km2 in Gumare. Barren land was reduced from 10.9 km2 in 1990 to 4.02 km2 in 2023, and shrubs and trees decreased from 20.53 km2 in 1990 to 16.21 km2 in 2023. A Kruskal–Wallis test revealed a statistically significant difference (X2 = 28.4; p \u003C 0.001) in the way people from different ethnic groups perceived factors influencing LULC. The results highlight the interplay between environmental change and human activities, necessitating sustainable land management practices and highly informed decision-making. The research further highlights the importance of local-level analysis of how LULC patterns and change drivers are understood, particularly in regions experiencing high population growth and resource utilisation. By presenting temporal and spatial patterns of LULC, this research paper contributes to the broader knowledge of land use change processes and policy development aimed at environmental resilience and community well-being.","土地利用与土地覆盖变化是由自然或人为因素触发的复杂过程，对社会经济发展和环境可持续性具有重要影响。本研究评估了博茨瓦纳北部沙卡韦和古马雷村庄1990年至2023年土地利用与土地覆盖（LULC）的动态变化，同时分析了利益相关者对土地利用与土地覆盖变化（LULCC）驱动因素的认知。研究采用卫星影像分析和问卷调查方法，识别了LULCC的驱动因素和变化模式。研究运用监督式数字图像分类和变化检测技术，结合结构化问卷调查，以获取利益相关者的认知。结果表明，城市化和农业是LULCC的主要驱动因素，导致建成区、植被覆盖和基础设施建设发生显著变化。人口增长和经济活动在塑造研究区LULC动态中发挥了重要作用。研究结果还显示，沙卡韦的建成区面积从0.97 km²增至2.02 km²，古马雷从0.26 km²增至1.30 km²。裸地从1990年的10.9 km²减少至2023年的4.02 km²，灌木和乔木从1990年的20.53 km²减少至2023年的16.21 km²。Kruskal–Wallis检验表明，不同族群对影响LULC因素的认知存在统计学显著差异（X² = 28.4；p \u003C 0.001）。研究结果凸显了环境变化与人类活动之间的相互作用，亟需可持续的土地管理实践和高度科学的决策。本研究进一步强调了地方层面分析LULC格局及变化驱动因素认知的重要性，尤其是在人口快速增长和资源利用强度较高的地区。通过呈现LULC的时间和空间格局，本文为土地利用变化过程的广泛知识体系以及旨在增强环境韧性和社区福祉的政策制定作出了贡献。","Transactions of the Royal Society of South Africa","2026-09-29T00:00:00Z",65,{"impact":21,"substance":420,"depth":17,"authority":261,"freshness":21,"relevant":22,"comment":421},20,"遥感与社区调查结合的土地利用变化研究，方法扎实、数据具体，但属境外区域案例，对国内三农信息化参考价值有限。",[423],{"name":416,"url":413},[425,426,427,28,29],"数字乡村","农业遥感","可持续农业",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":431},{"candidates":432,"agricultural_evidence":47},[433,437,441,446],{"code":33,"score":13,"supported":47,"title":434,"abstract":435,"tags":436},[51],[],[426,28],{"code":54,"score":22,"supported":14,"title":438,"abstract":439,"tags":440},[],[],[29],{"code":442,"score":22,"supported":14,"title":443,"abstract":444,"tags":445},"H8",[],[],[427],{"code":447,"score":22,"supported":14,"title":448,"abstract":449,"tags":450},"I6",[],[],[425],[452,453],"Okavango Delta 土地利用变化","博茨瓦纳 遥感 社区感知","OkavangoDelta土地利用变化-3907","10.1080\u002F0035919x.2026.2731206",{"doi":455,"openalex_id":457,"authors":458,"venue":416,"cited_by_count":82,"oa_url":413,"card":465,"direction":89,"ingested_from":90},"W7214955668",[459,462],{"name":460,"orcid":461},"Reniko Gondo","https:\u002F\u002Forcid.org\u002F0000-0002-0957-0179",{"name":463,"orcid":464},"Oluwatoyin Dare Kolawole","https:\u002F\u002Forcid.org\u002F0000-0002-3977-8747",{"tldr":466,"method":467,"finding":468,"direction":89,"opportunity":469},"结合遥感与社区调查，分析博茨瓦纳奥卡万戈三角洲1990-2023年土地利用变化及驱动因素。","监督分类与变化检测遥感影像，结合结构化问卷调查和Kruskal-Wallis检验","城市化和农业是主要驱动力，建设用地增加、林灌减少，不同族群对驱动因素感知有显著差异。","可探索多源遥感与社区感知融合的LULC驱动机制建模，并关注族群差异对土地管理的影响。","2026-10-01T23:30:30.841433Z",{"id":472,"title":473,"url":474,"summary":475,"summary_zh":476,"content":9,"source_name":477,"source_url":474,"published_at":478,"category":12,"cover_url":9,"hotness":479,"is_selected":14,"score":480,"score_detail":481,"sources":485,"tags":492,"primary_topic":496,"secondary_topics":497,"classification":498,"search_phrases":517,"slug":520,"view_count":513,"doi":521,"paper":522,"created_at":556},3552,"Evaluating the feeding habitat of the Asian elephant (Elephas maximus) using integrated field surveys and remote sensing","https:\u002F\u002Fdoi.org\u002F10.6084\u002Fm9.figshare.33995903","Conservation of Asian elephants in human-modified landscapes requires information on diet, forage availability, landscape change, and movement barriers. In Chunati Wildlife Sanctuary (CWS), Bangladesh, we reanalysed records from 187 dung piles and 791 vegetation plots, multi-temporal Landsat classifications, an exploratory railway-crossing inventory, and CCTV detections at a wildlife overpass. The dung-pile-by-taxon matrix contained 888 detections of 142 plant taxa from 49 families. Dung composition varied among sampled months (permutational multivariate analysis of variance [PERMANOVA], pseudo-F8,178 = 5.24, R2 = 0.191, p = .001) and forest beats (pseudo-F6,180 = 2.64, R2 = 0.081, p = .001), although dispersion differences require cautious interpretation. The 14 focal vegetation taxa also varied among months and beats, but effect sizes were small. Their relative abundance differed from dung-detection rankings, consistent with non-proportional resource use rather than a formal preference test. Across the 8,461.1-ha analytical landscape, mapped forest declined by 376.6 ha from 2000 to 2022. Agricultural producer’s accuracy was 45.3%, so agriculture-fallow change remains uncertain. Sixteen potential railway-crossing locations were catalogued, and 50 CCTV detections confirmed overpass use, without estimating crossing probability or mitigation effectiveness. These findings support standardized monitoring of forage composition, forest change, and railway hotspots.","在人类改造景观中保护亚洲象需要掌握食性、饲草可获得性、景观变化及移动障碍等信息。在孟加拉国春纳提野生动物保护区（Chunati Wildlife Sanctuary, CWS），我们重新分析了187处粪便堆和791个植被样方的记录、多时相Landsat分类、铁路穿越点探索性清单以及野生动物天桥上闭路电视（CCTV）的检测数据。粪便堆-分类单元矩阵包含来自49科142个植物分类单元的888次检测。粪便组成在采样月份间存在差异（置换多元方差分析[PERMANOVA]，伪F8,178 = 5.24，R2 = 0.191，p = .001），在森林分区间也存在差异（伪F6,180 = 2.64，R2 = 0.081，p = .001），但离散度差异要求谨慎解读。14个重点植被分类单元同样在月份和分区之间存在差异，但效应量较小。其相对丰度与粪便检测排序不同，这与非比例性资源利用一致，而非正式的偏好检验。在8,461.1公顷的分析景观中，2000年至2022年间制图森林面积减少了376.6公顷。农业用地生产者精度为45.3%，因此农业-休耕地的变化仍不确定。共编目了16个潜在铁路穿越点，50次CCTV检测确认了天桥的使用，但未估算穿越概率或缓解措施有效性。这些发现支持对饲草组成、森林变化和铁路热点进行标准化监测。","Figshare","2026-09-25T00:00:00Z",40,60,{"impact":21,"substance":420,"depth":482,"authority":55,"freshness":483,"relevant":22,"comment":484},17,9,"论文以遥感与野外调查结合评估亚洲象觅食栖息地，方法扎实但属国际保护生态研究，与国内三农信息化关联较弱，公共价值有限。",[486,487,490],{"name":477,"url":474},{"name":488,"url":489},"Biodiversity","https:\u002F\u002Fdoi.org\u002F10.1080\u002F14888386.2026.2720916",{"name":477,"url":491},"https:\u002F\u002Fdoi.org\u002F10.6084\u002Fm9.figshare.33995903.v1",[28,493,29,494,495],"野生动物保护","亚洲象","栖息地评估",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":499},{"candidates":500,"agricultural_evidence":47},[501,505,512],{"code":33,"score":483,"supported":47,"title":502,"abstract":503,"tags":504},[51],[],[28],{"code":506,"score":55,"supported":47,"title":507,"abstract":508,"tags":511},"C4",[],[509,510],"饲草","forage",[],{"code":54,"score":513,"supported":14,"title":514,"abstract":515,"tags":516},2,[],[],[29,493],[518,519],"Chunati Wildlife Sanctuary 亚洲象","Landsat 遥感 栖息地 亚洲象","ChunatiWildlifeSanctuary亚洲象-3552","10.6084\u002Fm9.figshare.33995903",{"doi":521,"openalex_id":523,"authors":524,"venue":477,"cited_by_count":82,"oa_url":474,"card":551,"direction":89,"ingested_from":90},"W7214307711",[525,527,530,533,535,537,539,541,543,545,547,549],{"name":526,"orcid":9},"A. H. M. Raihan Sarker",{"name":528,"orcid":529},"Eivin Røskaft","https:\u002F\u002Forcid.org\u002F0000-0003-0262-8443",{"name":531,"orcid":532},"Umme Humayra","https:\u002F\u002Forcid.org\u002F0009-0005-2446-3506",{"name":534,"orcid":9},"Mohammad Shawkat Hossain",{"name":536,"orcid":9},"Sayeed Mehmood",{"name":538,"orcid":9},"Biswajit Nath",{"name":540,"orcid":9},"Paul Kvinta",{"name":542,"orcid":9},"Mohammad Abdul Motaleb",{"name":544,"orcid":9},"A. N. M. Yasin Newaz",{"name":546,"orcid":9},"Md. Aktar Hossain",{"name":548,"orcid":9},"Mohammad Morshedul Hoque",{"name":550,"orcid":9},"Nishi Chakma",{"tldr":552,"method":553,"finding":554,"direction":89,"opportunity":555},"结合粪便、植被样方、遥感和红外相机评估孟加拉亚洲象取食栖息地变化。","187份粪便、791个植被样方、Landsat时序分类与CCTV监测。","象食性随月份和林班变化，森林22年减少376.6公顷，铁路交叉点16处。","可结合高精度遥感与象食性数据，量化农业-林地变化对取食栖息地的影响。","2026-09-26T23:30:29.633263Z"]