[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3788":3,"related-3788":76},{"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":18,"tags":20,"primary_topic":9,"secondary_topics":24,"classification":25,"search_phrases":54,"slug":57,"view_count":58,"doi":59,"paper":60,"created_at":75},3788,"Assessment of wetland and vegetation dynamics in the context of urbanization and seasonal variation using surface indices in Ara city, India","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44288-026-00757-2","The pressure of rapid urbanisation has led to the rapid transformation of wetlands and vegetation, causing major problems for ecological sustainability in fast-growing cities. This study assesses the spatiotemporal dynamics of wetland, vegetation, and built-up surfaces in Ara City, Bihar, India, from 1995 to 2025 using Landsat 5, 8, and 9 imageries. The following spectral indices were used to assess the seasonal and long-term environmental changes as a result of urban expansion: Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Modified Normalized Difference Water Index (MNDWI), Normalized Difference Built-up Index (NDBI), Urban Index (UI), Normalized Difference Bareness Index (NDBal), Bareness Index (BI), and Enhanced Built-up and Bareness Index (EBBI). The anthropogenic impact on vegetation and water resources around Ara city in middle of Bihar-Uttar Pradesh border in Bhojpur district of north-eastern part of Bihar, India surrounding by the Ganga and Son rivers was studied. The results reveal a progressive decline in vegetation cover and open-water features, areas experiencing rapid urban expansion. Pre-monsoon NDVI exhibited lower spatial variability than post-monsoon NDVI, indicating seasonal differences in vegetation dynamics. MNDWI indicated a reduction in water-related features, whereas higher NDWI values in 2025 suggest an increase in water-associated surfaces within the urban landscape. The results of the Pearson’s correlation analysis indicate negative correlation between built-up indices and NDVI and negative correlation between built-up indices and MNDWI, showing the inverse relationship between urbanization and ecological health indicators, while positive correlation between built-up indices and NDWI shows the positive relationship between built-up and water. The study underscores that wetlands, which serve as critical habitats for migratory birds, are increasingly threatened by human activities. The novel nature of the study is the integration of multi-season and multi-index analyses of the dynamics of wetland, vegetation, and urban surfaces over 30 years. The results offer insights for sustainable urban planning, wetland conservation, ecosystem management and may have implications for wetland-dependent biodiversity.","快速城市化的压力导致湿地和植被迅速转变，给快速发展的城市带来了生态可持续性方面的重大问题。本研究利用Landsat 5、8和9影像，评估了印度比哈尔邦阿拉市1995年至2025年间湿地、植被和建成区的时空动态变化。研究采用以下光谱指数评估城市扩张引起的季节性和长期环境变化：归一化差异植被指数（NDVI）、归一化差异水体指数（NDWI）、改进归一化差异水体指数（MNDWI）、归一化差异建成区指数（NDBI）、城市指数（UI）、归一化差异裸地指数（NDBal）、裸地指数（BI）和增强建成区与裸地指数（EBBI）。研究考察了印度比哈尔邦东北部博杰普尔县阿拉市周边植被和水资源受到的人为影响，该区域位于比哈尔邦-北方邦边界中部，被恒河和宋河环绕。结果表明，随着城市快速扩张，植被覆盖和开阔水域特征逐渐减少。季风前NDVI的空间变异性低于季风后NDVI，表明植被动态存在季节性差异。MNDWI显示水体相关特征减少，而2025年较高的NDWI值则表明城市景观中与水相关的表面有所增加。Pearson相关分析结果表明，建成区指数与NDVI之间呈负相关，建成区指数与MNDWI之间也呈负相关，表明城市化与生态健康指标之间呈反向关系；而建成区指数与NDWI之间呈正相关，表明建成区与水之间呈正向关系。研究强调，作为候鸟重要栖息地的湿地正日益受到人类活动的威胁。本研究的创新之处在于整合了多季节和多指数分析，对30年间湿地、植被和城市表面的动态变化进行了综合研究。研究结果为可持续城市规划、湿地保护、生态系统管理提供了参考，并可能对依赖湿地的生物多样性产生影响。",null,"Discover Geoscience","2026-09-28T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"研究印度阿拉市湿地与植被动态，属城市生态遥感，与三农、农业信息化主题无关，不建议入选。",[19],{"name":10,"url":6},[21,22,23],"遥感监测","城市化","湿地保护",[],{"status":26,"locked":14,"version":27,"method":28,"evidence":29},"needs_review","2026-10-22.2","rules",{"candidates":30,"agricultural_evidence":14,"reason":53},[31,40,47],{"code":32,"score":33,"supported":34,"title":35,"abstract":36,"tags":39},"H6",7,true,[],[37,38],"生物多样性","biodiversity",[23],{"code":41,"score":42,"supported":34,"title":43,"abstract":44,"tags":46},"H3",3,[],[45],"水资源",[],{"code":48,"score":49,"supported":14,"title":50,"abstract":51,"tags":52},"I3",1,[],[],[21],"农业相关性需要复核",[55,56],"印度阿拉市 湿地 植被","NDVI MNDWI 城市化","印度阿拉市湿地植被-3788",2,"10.1007\u002Fs44288-026-00757-2",{"doi":59,"openalex_id":61,"authors":62,"venue":10,"cited_by_count":15,"oa_url":67,"card":68,"direction":72,"ingested_from":74},"W7214518319",[63,65],{"name":64,"orcid":9},"Latifur Rahaman",{"name":66,"orcid":9},"Sadaf","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44288-026-00757-2.pdf",{"tldr":69,"method":70,"finding":71,"direction":72,"opportunity":73},"利用多光谱指数评估印度阿拉市1995-2025年湿地、植被与建成区的时空动态。","Landsat 5\u002F8\u002F9影像与NDVI、NDWI、MNDWI、NDBI等8种指","植被与水体持续减少，建成区扩张与生态指标负相关，湿地受城市化威胁。","农业遥感与作物表型","可结合多源遥感与机器学习，量化城市化对湿地生态服务及候鸟栖息地的影响机制。","openalex","2026-09-29T23:30:28.254343Z",{"total":77,"page":49,"page_size":77,"items":78},6,[79,166,235,283,356,425],{"id":80,"title":81,"url":82,"summary":83,"summary_zh":84,"content":9,"source_name":85,"source_url":82,"published_at":86,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":87,"score_detail":88,"sources":94,"tags":96,"primary_topic":99,"secondary_topics":105,"classification":110,"search_phrases":138,"slug":141,"view_count":58,"doi":142,"paper":143,"created_at":165},3069,"Impact of Urbanization on Agriculture and Wetland Management in Makurdi LGA of Benue State, Nigeria","https:\u002F\u002Fdoi.org\u002F10.65757\u002Fhjev1n22","Wetlands are among the most productive ecosystems, providing essential ecological, hydrological, and socio-economic services, including flood regulation, groundwater recharge, water purification, biodiversity conservation, and agricultural support. However, rapid urbanization has accelerated the conversion of wetlands to built-up areas and agricultural land, threatening their ecological integrity. This study assessed the impact of urbanization on agriculture and wetland management in Makurdi Local Government Area, Benue State, over a twenty-year period (2004–2024). The specific objectives were to examine the spatial distribution and extent of wetlands, evaluate the relationship between urban growth and wetland dynamics, and determine the extent of wetland encroachment resulting from urban development. The study employed Geographic Information Systems (GIS) and Remote Sensing techniques using Landsat 7 ETM+, Landsat 8 OLI\u002FTIRS, and Landsat 9 OLI-2\u002FTIRS-2 satellite imagery acquired for 2004, 2014, and 2024. Image preprocessing, supervised classification, change detection, cross-tabulation matrix analysis, and accuracy assessment were performed in ArcGIS and ERDAS Imagine, while field observations and GPS data were used for ground-truthing and validation. Seven land-use\u002Fland-cover classes were identified: wetlands, farmland, shrubland, forest, water bodies, sandbars, and settlements. The findings revealed significant land-use and land-cover changes over the study period. Wetland coverage declined from 4,478.76 ha (5.37%) in 2004 to 2,664.36 ha (2.39%) in 2024, while settlements expanded from 1,182.60 ha (1.42%) to 5,119.22 ha (4.61%) during the same period. Farmland increased from 39.23% to 41.09%, indicating continued conversion of natural ecosystems to agricultural and urban uses. Cross-tabulation analysis further demonstrated substantial transitions of wetlands and farmlands into settlement areas, confirming that urban expansion has become a major driver of wetland degradation in Makurdi. Classification accuracy assessments yielded overall accuracies ranging from 72.15% to 75.93%, with Kappa coefficients between 0.60 and 0.68, indicating that the classified maps were sufficiently reliable for land-use change analysis. The study concludes that rapid urbanization has significantly contributed to wetland loss and fragmentation and has increasingly encroached on agricultural lands, posing serious threats to ecosystem sustainability, biodiversity conservation, flood regulation, and long-term food security. To address these challenges, the study recommends strengthening wetland protection policies, implementing continuous GIS-based monitoring, promoting sustainable urban development, and establishing institutional frameworks to conserve and effectively manage wetlands and agricultural lands in Makurdi","湿地是最具生产力的生态系统之一，提供重要的生态、水文和社会经济服务，包括洪水调节、地下水补给、水质净化、生物多样性保护和农业支持。然而，快速城市化加速了湿地向建成区和农业用地的转化，威胁其生态完整性。本研究评估了贝努埃州马库尔迪地方政府区二十年期间（2004—2024年）城市化对农业和湿地管理的影响。具体目标包括：考察湿地的空间分布与范围，评估城市增长与湿地动态之间的关系，并确定城市发展导致的湿地侵占程度。研究采用地理信息系统（GIS）和遥感技术，使用2004年、2014年和2024年的Landsat 7 ETM+、Landsat 8 OLI\u002FTIRS和Landsat 9 OLI-2\u002FTIRS-2卫星影像。在ArcGIS和ERDAS Imagine中进行了影像预处理、监督分类、变化检测、交叉列联表矩阵分析和精度评估，同时利用实地观测和GPS数据进行地面验证与确认。研究识别出七类土地利用\u002F土地覆盖类型：湿地、农田、灌丛、森林、水体、沙洲和居民点。研究结果显示，研究期间土地利用和土地覆盖发生了显著变化。湿地覆盖面积从2004年的4,478.76公顷（5.37%）下降至2024年的2,664.36公顷（2.39%），而居民点面积同期从1,182.60公顷（1.42%）扩张至5,119.22公顷（4.61%）。农田面积从39.23%增至41.09%，表明自然生态系统持续向农业和城市用途转化。交叉列联表分析进一步表明，湿地和农田大量转变为居民点用地，证实城市扩张已成为马库尔迪湿地退化的主要驱动因素。分类精度评估的总体精度为72.15%至75.93%，Kappa系数在0.60至0.68之间，表明分类图对于土地利用变化分析具有足够的可靠性。研究认为，快速城市化显著加剧了湿地丧失和破碎化，并日益侵占农业用地，对生态系统可持续性、生物多样性保护","Hensard Journal of Environment","2026-09-20T00:00:00Z",56,{"impact":89,"substance":90,"depth":91,"authority":77,"freshness":92,"relevant":49,"comment":93},8,18,15,9,"基于Landsat遥感与GIS的尼日利亚湿地退化实证研究，数据扎实但属区域案例，公共影响有限。",[95],{"name":85,"url":82},[97,21,98,22,23],"粮食安全","土地利用",{"code":100,"slug":101,"name":102,"path":103,"parent_code":104},"I4","gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis","I",[106],{"code":32,"slug":38,"name":107,"path":108,"parent_code":109},"生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity","H",{"status":111,"locked":14,"version":27,"method":28,"evidence":112},"classified",{"candidates":113,"agricultural_evidence":34},[114,121,125,131],{"code":100,"score":92,"supported":34,"title":115,"abstract":116,"tags":120},[],[117,118,119],"地理信息","GIS","geographic information",[],{"code":32,"score":89,"supported":34,"title":122,"abstract":123,"tags":124},[],[37,38],[98,23],{"code":48,"score":33,"supported":34,"title":126,"abstract":127,"tags":130},[],[128,129],"遥感","remote sensing",[21],{"code":132,"score":133,"supported":34,"title":134,"abstract":135,"tags":137},"A8",4,[],[136],"food security",[97],[139,140],"Makurdi 湿地 城市化","Benue State 遥感","Makurdi湿地城市化-3069","10.65757\u002Fhjev1n22",{"doi":142,"openalex_id":144,"authors":145,"venue":85,"cited_by_count":15,"oa_url":82,"card":160,"direction":72,"ingested_from":74},"W7213745048",[146,148,150,152,154,156,158],{"name":147,"orcid":9},"Joy Iganya Agene",{"name":149,"orcid":9},"Onoja Sunday",{"name":151,"orcid":9},"Akintunde Elijah",{"name":153,"orcid":9},"Ugese Ayangeaor Andrew",{"name":155,"orcid":9},"Kebiru Umoru",{"name":157,"orcid":9},"Aku Umaku Esther",{"name":159,"orcid":9},"Ombugu Gideon",{"tldr":161,"method":162,"finding":163,"direction":72,"opportunity":164},"用遥感与GIS评估尼日利亚马库尔迪20年间城市化对湿地和农业用地的侵占影响。","Landsat 7\u002F8\u002F9影像，监督分类、变化检测与交叉表分析，GPS实地验证。","湿地占比由5.37%降至2.39%，建设用地由1.42%升至4.61%，城市化是湿地退化主因。","可结合多源高分辨率遥感与CA-Markov模型，预测湿地-农田-城市冲突并支撑国土空间优化。","2026-09-21T23:30:24.084401Z",{"id":167,"title":168,"url":169,"summary":170,"summary_zh":171,"content":9,"source_name":172,"source_url":169,"published_at":173,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":174,"score_detail":175,"sources":180,"tags":182,"primary_topic":186,"secondary_topics":190,"classification":192,"search_phrases":210,"slug":213,"view_count":15,"doi":214,"paper":215,"created_at":234},5392,"Wetland Loss Associated with Hydro-Agricultural Development in North African Floodplains: Insights from a Historical Cartographic Analysis of the Gharb Plain (Morocco)","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fd18100642","Mediterranean floodplain wetlands are among the most productive ecosystems, yet they are increasingly threatened by agricultural intensification and hydrological modifications. In North Africa, most of these wetlands have been converted to agricultural lands using an extensive ‘drainage–irrigation’ process that has irreversibly degraded them. This study documents this loss through the illustrative example of the Gharb Plain in the northwest of Morocco. The agricultural development process of this plain, initiated in 1927 and only recently completed, is documented by both historical maps and remote sensing data, which we combined to reconstruct the simultaneous wetland decline and agriculture extension. The results reveal a dramatic decline in marshland ecosystems, covering about 88% of the original marshlands in less than one cycle. Several wetlands, including large ones, have entirely disappeared, particularly within the Sebou and Baht river floodplains. To ensure their human occupation, the drainage process and river canalization have been supported by a large program of dam construction upstream of the Gharb Plain. The wetland loss estimate highlights the substantial ecological costs of agricultural intensification and underscores the need for integrated management strategies balancing food production and patrimony conservation. Future research should focus on wetland restoration, ecosystem service assessment, and climate-resilient water management in Mediterranean floodplains.","地中海洪泛平原湿地是最具生产力的生态系统之一，却日益受到农业集约化与水文改造的威胁。在北非，大多数此类湿地已通过大规模的“排水—灌溉”过程被转变为农业用地，并因此遭到不可逆的退化。本研究以摩洛哥西北部加尔卜平原（Gharb Plain）为例，记录了这一丧失过程。该平原的农业开发进程始于1927年，直至近期才告完成，我们结合历史地图与遥感数据，重建了湿地衰退与农业扩张同步发生的过程。结果表明，沼泽生态系统急剧减少，在不到一个周期内约88%的原生沼泽地消失。包括大型湿地在内的多处湿地已完全消失，尤其是在塞布河（Sebou）与巴赫特河（Baht）洪泛平原内。为保障人类占用，排水过程与河流渠化得到了加尔卜平原上游大规模水坝建设计划的支持。湿地丧失的估算凸显了农业集约化所带来的巨大生态代价，并强调需要制定兼顾粮食生产与遗产保护的综合管理策略。未来研究应聚焦于湿地恢复、生态系统服务评估以及地中海洪泛平原的气候韧性水资源管理。","Diversity","2026-10-19T00:00:00Z",76,{"impact":176,"substance":177,"depth":90,"authority":178,"freshness":89,"relevant":49,"comment":179},16,21,13,"该研究结合历史地图与遥感数据，量化了北非洪泛平原湿地因农业开发而丧失的情况，方法扎实、结论明确，对农业生态与土地管理有参考价值，但属区域性案例研究，公共影响有限。",[181],{"name":172,"url":169},[183,21,184,185,23],"生态修复","灌溉农业","土地利用变化",{"code":41,"slug":187,"name":188,"path":189,"parent_code":109},"irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",[191],{"code":32,"slug":38,"name":107,"path":108,"parent_code":109},{"status":111,"locked":14,"version":27,"method":28,"evidence":193},{"candidates":194,"agricultural_evidence":34},[195,200,206],{"code":41,"score":13,"supported":34,"title":196,"abstract":197,"tags":199},[],[198,45,187],"灌溉",[184],{"code":32,"score":92,"supported":34,"title":201,"abstract":202,"tags":205},[],[203,204],"生态系统服务","ecosystem service",[185,23,183],{"code":48,"score":33,"supported":34,"title":207,"abstract":208,"tags":209},[],[128,129],[21],[211,212],"Gharb平原 湿地 遥感","摩洛哥 湿地 灌溉","Gharb平原湿地遥感-5392","10.3390\u002Fd18100642",{"doi":214,"openalex_id":216,"authors":217,"venue":172,"cited_by_count":15,"oa_url":169,"card":229,"direction":72,"ingested_from":74},"W7222966485",[218,221,223,226],{"name":219,"orcid":220},"Mohamed Dakki","https:\u002F\u002Forcid.org\u002F0000-0002-8042-3972",{"name":222,"orcid":9},"Said El Falah",{"name":224,"orcid":225},"Ibrahim Makrane","https:\u002F\u002Forcid.org\u002F0009-0002-9201-206X",{"name":227,"orcid":228},"Ismail Mansouri","https:\u002F\u002Forcid.org\u002F0000-0002-3679-6050",{"tldr":230,"method":231,"finding":232,"direction":72,"opportunity":233},"用历史地图与遥感重建摩洛哥Gharb平原1927年以来的湿地丧失与农业扩张过程。","历史地图与遥感数据结合，重建湿地退缩与农田扩张的时空过程。","不到一个开发周期内约88%的原生沼泽消失，大型湿地完全丧失。","可延伸至地中海洪泛平原湿地恢复优先区识别与生态系统服务权衡研究。","2026-10-20T23:30:19.135602Z",{"id":236,"title":237,"url":238,"summary":239,"summary_zh":240,"content":9,"source_name":241,"source_url":238,"published_at":242,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":243,"score_detail":244,"sources":247,"tags":249,"primary_topic":9,"secondary_topics":252,"classification":253,"search_phrases":266,"slug":269,"view_count":15,"doi":270,"paper":271,"created_at":282},5182,"Land Use Land Cover (LULC) Change Detection in Delhi NCT Using Multi-Sensor Satellite Data and Google Earth Engine","https:\u002F\u002Fdoi.org\u002F10.21275\u002Fsr26903183702","Land Use Land Cover (LULC) change detection is essential for understanding the dynamics of human modified landscapes and for supporting effective land management and urban planning. This study analyses LULC change across the Delhi National Capital Territory over a fifteen-year period, from 2010 to 2025, to assess urban sprawl and its environmental impact in one of India's fastest growing metropolitan regions. Multi temporal Landsat imagery was used as the primary data source, processed on Google Earth Engine, the cloud-based platform that enabled efficient handling and visualisation of large geospatial datasets. Five classes, built up area, agricultural land, vegetation, water, and barren land, were mapped and monitored, and classification accuracy was assessed for both dates. The Normalised Difference Vegetation Index was additionally employed to track vegetation vigour and ecological change. Results reveal a marked expansion of built-up areas alongside a substantial decline in agricultural and vegetated land, driven by peri urban growth along the northwestern and southwestern fringe. NDVI analysis shows rising greenness across the outer belt, reflecting more intensive cultivation on land that remains under crops, a pattern that complements rather than contradicts the measured loss of vegetated area. Combining classification based and an index-based approach provides a robust, scalable framework for LULC monitoring. By revealing where and how urban growth is reshaping the landscape, the study offers a transferable basis for environmental assessment, resource management, and sustainable urban planning in rapidly urbanising regions worldwide.","土地利用\u002F土地覆盖（LULC）变化检测对于理解人类改造景观的动态以及支撑有效的土地管理和城市规划至关重要。本研究分析了德里国家首都辖区在2010年至2025年十五年间的土地利用\u002F土地覆盖变化，以评估印度增长最快的大都市区之一的城市蔓延及其环境影响。研究以多时相Landsat影像作为主要数据源，在Google Earth Engine这一基于云的平台上进行处理，该平台能够高效处理和可视化大型地理空间数据集。研究对建成区、农业用地、植被、水体与裸地五个类别进行了制图和监测，并对两个时相的分类精度进行了评估。此外，研究采用归一化植被指数（NDVI）追踪植被长势与生态变化。结果表明，建成区显著扩张，农业用地和植被用地大幅减少，这一变化主要由西北部和西南部边缘的近郊增长所驱动。NDVI分析显示外围地带的绿度上升，反映出仍处于耕作状态的土地上集约化种植程度提高，这一格局与所测得的植被面积损失相辅相成而非相互矛盾。将基于分类的方法与基于指数的方法相结合，为土地利用\u002F土地覆盖监测提供了一个稳健且可扩展的框架。通过揭示城市增长在何处以及如何重塑景观，本研究为全球快速城市化地区的环境评估、资源管理和可持续城市规划提供了可迁移的基础。","International Journal of Science and Research (IJSR)","2026-10-15T00:00:00Z",62,{"impact":245,"substance":90,"depth":91,"authority":89,"freshness":92,"relevant":49,"comment":246},12,"方法可迁移的遥感LULC变化检测研究，对快速城市化地区土地管理有参考价值，但属区域案例、非三农核心议题。",[248],{"name":241,"url":238},[250,21,98,251,22],"NDVI","Google Earth Engine",[],{"status":254,"locked":14,"version":27,"method":28,"evidence":255},"unclassified",{"candidates":256,"agricultural_evidence":34,"reason":265},[257,261],{"code":48,"score":42,"supported":14,"title":258,"abstract":259,"tags":260},[],[],[251,250,21],{"code":32,"score":49,"supported":14,"title":262,"abstract":263,"tags":264},[],[],[98],"缺少足够的主题证据",[267,268],"德里 土地利用 遥感","Google Earth Engine 城市扩张","德里土地利用遥感-5182","10.21275\u002Fsr26903183702",{"doi":270,"openalex_id":272,"authors":273,"venue":241,"cited_by_count":15,"oa_url":276,"card":277,"direction":72,"ingested_from":74},"W7222341300",[274],{"name":275,"orcid":9},"Neil Rohatgi","https:\u002F\u002Fwww.ijsr.net\u002Farchive\u002Fv15i10\u002FSR26903183702.pdf",{"tldr":278,"method":279,"finding":280,"direction":72,"opportunity":281},"基于多时相Landsat与GEE分析德里国家首都辖区2010-2025年土地利用变化。","多时相Landsat影像、Google Earth Engine平台、五类分类与","建设用地显著扩张，农业与植被用地大幅减少，城郊西北和西南边缘增长驱动。","可结合分类与指数方法构建可迁移框架，拓展至城乡交错带耕地保护与可持续规划研究。","2026-10-17T23:30:31.767409Z",{"id":284,"title":285,"url":286,"summary":287,"summary_zh":288,"content":9,"source_name":289,"source_url":286,"published_at":290,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":291,"score_detail":292,"sources":296,"tags":298,"primary_topic":302,"secondary_topics":306,"classification":307,"search_phrases":330,"slug":333,"view_count":15,"doi":334,"paper":335,"created_at":355},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",78,{"impact":176,"substance":293,"depth":90,"authority":294,"freshness":89,"relevant":49,"comment":295},22,14,"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。",[297],{"name":289,"url":286},[21,23,299,300,301],"碳储量","生态治理","景观破碎化",{"code":48,"slug":303,"name":304,"path":305,"parent_code":104},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",[],{"status":111,"locked":14,"version":27,"method":28,"evidence":308},{"candidates":309,"agricultural_evidence":34},[310,314,321,325],{"code":48,"score":33,"supported":34,"title":311,"abstract":312,"tags":313},[],[128,129],[21],{"code":315,"score":77,"supported":34,"title":316,"abstract":317,"tags":320},"D",[],[318,319],"水产","aquaculture",[],{"code":32,"score":133,"supported":34,"title":322,"abstract":323,"tags":324},[],[203],[23],{"code":326,"score":49,"supported":14,"title":327,"abstract":328,"tags":329},"H4",[],[],[299],[331,332],"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":334,"openalex_id":336,"authors":337,"venue":289,"cited_by_count":15,"oa_url":348,"card":349,"direction":72,"ingested_from":74},"W7221528662",[338,340,343,346],{"name":339,"orcid":9},"Menghan Gao",{"name":341,"orcid":342},"Khai Ern Lee","https:\u002F\u002Forcid.org\u002F0000-0002-1463-3787",{"name":344,"orcid":345},"Aida Soraya Shamsuddin","https:\u002F\u002Forcid.org\u002F0000-0001-5212-7714",{"name":347,"orcid":9},"Bing He","https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41598-026-67308-0_reference.pdf",{"tldr":350,"method":351,"finding":352,"direction":353,"opportunity":354},"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。","农业绿色发展与碳","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":357,"title":358,"url":359,"summary":360,"summary_zh":361,"content":9,"source_name":362,"source_url":359,"published_at":363,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":364,"sources":366,"tags":368,"primary_topic":369,"secondary_topics":373,"classification":374,"search_phrases":395,"slug":398,"view_count":133,"doi":399,"paper":400,"created_at":424},3493,"Urbanization and Land Use\u002FLand Cover Change in Jalingo Local Government Area, Taraba State, Nigeria: A Multi-Temporal Remote Sensing and Socio-Economic Assessment","https:\u002F\u002Fdoi.org\u002F10.54117\u002Fcanhm718","Rapid urbanization is a major driver of land use and land cover (LULC) transformation, particularly in rapidly developing cities of sub-Saharan Africa. This study examined the impact of urbanization on LULC in Jalingo Local Government Area of Taraba State, Nigeria, with particular emphasis on the period 1994–2024. The study integrated multi-temporal Landsat satellite imagery, Geographic Information Systems (GIS), post-classification change detection and questionnaire data to assess the spatial and temporal dynamics of urban growth and its environmental and socio-economic implications. Landsat 5 TM, Landsat 7 ETM+ and Landsat 8 OLI\u002FTIRS imagery for 1994, 2004, 2014 and 2024 were classified into four major LULC categories: built-up area, vegetation, bare surface and water body. A questionnaire survey involving 384 respondents was also used to assess perceived drivers and consequences of urbanization. The results revealed substantial transformation of the Jalingo landscape. Vegetation declined from 170.56 km² (87.47%) in 1994 to 50.39 km² (25.84%) in 2024, representing a net loss of 120.17 km². In contrast, built-up land increased from 4.30 km² (2.20%) to 18.06 km² (9.26%), while bare surfaces expanded from 18.60 km² (9.54%) to 124.68 km² (63.94%). The most rapid transformation occurred between 2004 and 2014, when vegetation declined by 81.57 km² while bare surfaces increased by 71.79 km² and built-up land by 10.46 km². Survey results indicated that government policies and initiatives, economic opportunities, population growth and infrastructure development were important perceived drivers of urbanization. Most respondents also perceived significant negative effects on agricultural land, livelihoods, food security and access to essential natural resources. The study concludes that urban growth in Jalingo has generated important economic and infrastructural benefits but has also produced substantial environmental degradation and socio-economic pressures. Strengthened land-use planning, protection of agricultural and ecological areas, urban greening, sustainable livelihood programmes, community participation and continuous GIS-based monitoring are recommended.","快速城市化是土地利用与土地覆盖(LULC)变化的主要驱动力，在撒哈拉以南非洲快速发展的城市中尤为突出。本研究考察了尼日利亚塔拉巴州贾林戈地方政府辖区城市化对土地利用与土地覆盖的影响，重点关注1994—2024年这一时期。研究综合运用多时相Landsat卫星影像、地理信息系统(GIS)、分类后变化检测和问卷调查数据，评估城市增长的空间与时间动态及其环境和社会经济影响。将1994年、2004年、2014年和2024年的Landsat 5 TM、Landsat 7 ETM+和Landsat 8 OLI\u002FTIRS影像分为四个主要土地利用与土地覆盖类别：建设用地、植被、裸地表和水体。同时开展了一项涉及384名受访者的问卷调查，以评估城市化的感知驱动因素及其后果。结果表明，贾林戈景观发生了显著转变。植被从1994年的170.56 km²(87.47%)下降至2024年的50.39 km²(25.84%)，净损失120.17 km²。相比之下，建设用地从4.30 km²(2.20%)增至18.06 km²(9.26%)，而裸地表从18.60 km²(9.54%)扩展至124.68 km²(63.94%)。变化最快的时期为2004—2014年，期间植被减少81.57 km²，裸地表增加71.79 km²，建设用地增加10.46 km²。调查结果表明，政府政策和举措、经济机会、人口增长和基础设施建设是城市化的重要感知驱动因素。大多数受访者还认为，城市化对农业用地、生计、粮食安全和基本自然资源的获取产生了显著的负面影响。研究认为，贾林戈的城市增长带来了重要的经济和基础设施效益，但也造成了严重的环境退化和社会经济压力。建议加强土地利用规划、保护农业和生态区域、推进城市绿化、实施可持续生计项目、促进社区参与以及持续开展基于GIS的监测。","OpenAlex","2026-09-24T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":365},"研究对象为尼日利亚Jalingo地区城市化与土地利用变化，属国际区域地理研究，与三农、农业信息化、智慧农业等主题无直接关联，不建议进入每日精选。",[367],{"name":362,"url":359},[21,98,22],{"code":104,"slug":370,"name":371,"path":372,"parent_code":9},"digital-agriculture","数字农业与前沿技术","\u002Ftopic\u002Fdigital-agriculture",[],{"status":375,"locked":14,"version":27,"method":28,"evidence":376},"partial",{"candidates":377,"agricultural_evidence":34,"reason":394},[378,382,386,390],{"code":48,"score":92,"supported":34,"title":379,"abstract":380,"tags":381},[129],[],[21],{"code":100,"score":92,"supported":34,"title":383,"abstract":384,"tags":385},[],[117,118,119],[],{"code":132,"score":77,"supported":34,"title":387,"abstract":388,"tags":389},[],[97,136],[],{"code":32,"score":49,"supported":14,"title":391,"abstract":392,"tags":393},[],[],[98],"一级领域明确，二级方向需要细分",[396,397],"尼日利亚 Jalingo 土地利用","Landsat 遥感 城市化","尼日利亚Jalingo土地利用-3493","10.54117\u002Fcanhm718",{"doi":399,"openalex_id":401,"authors":402,"venue":9,"cited_by_count":15,"oa_url":359,"card":419,"direction":72,"ingested_from":74},"W7214145360",[403,406,409,411,413,415,417],{"name":404,"orcid":405},"Mohammed Bakoji Yusuf","https:\u002F\u002Forcid.org\u002F0000-0002-8719-2396",{"name":407,"orcid":408},"Ambrose Audu Zemba","https:\u002F\u002Forcid.org\u002F0000-0002-7692-9911",{"name":410,"orcid":9},"Huzaima Abubakar Bakoji",{"name":412,"orcid":9},"AUWAL ADAMU BAKAKU",{"name":414,"orcid":9},"UMAR ABBA JAURO",{"name":416,"orcid":9},"Aliyu Mohammed Jingudo",{"name":418,"orcid":9},"Abubakar Isa",{"tldr":420,"method":421,"finding":422,"direction":72,"opportunity":423},"用多时相遥感和问卷评估尼日利亚Jalingo 1994–2024年城市化驱动的土地利用变化。","Landsat 5\u002F7\u002F8影像分类、GIS变化检测与384份问卷。","植被减少120.17 km²，建设用地和裸地大幅扩张，2004–2014变化最快。","可结合多源遥感与农户调查，研究西非城市扩张对农地流失和粮食安全的驱动机制。","2026-09-25T23:30:30.441601Z",{"id":426,"title":427,"url":428,"summary":429,"summary_zh":9,"content":9,"source_name":430,"source_url":428,"published_at":431,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":87,"score_detail":432,"sources":434,"tags":436,"primary_topic":9,"secondary_topics":439,"classification":440,"search_phrases":451,"slug":454,"view_count":15,"doi":455,"paper":456,"created_at":469},3180,"Satellite-Based Assessment of Vegetation and Hydrological Dynamics at the Garâa of Sejnane Ramsar Wetland (Tunisia): A Multi-Temporal NDVI and NDWI Analysis","https:\u002F\u002Fdoi.org\u002F10.21203\u002Frs.3.rs-10690691\u002Fv1","Satellite-Based Assessment of Vegetation and Hydrological Dynamics at the Garâa of Sejnane Ramsar Wetland (Tunisia): A Multi-Temporal NDVI and NDWI Analysis。Research Square","Research Square","2026-09-21T00:00:00Z",{"impact":89,"substance":90,"depth":91,"authority":77,"freshness":92,"relevant":49,"comment":433},"基于多时相NDVI\u002FNDWI的湿地植被与水文动态遥感评估，方法规范但属区域性案例研究，公共影响有限。",[435],{"name":430,"url":428},[250,437,21,23,438],"农业生态","NDWI",[],{"status":26,"locked":14,"version":27,"method":28,"evidence":441},{"candidates":442,"agricultural_evidence":14,"reason":53},[443,447],{"code":32,"score":58,"supported":14,"title":444,"abstract":445,"tags":446},[],[],[437,23],{"code":48,"score":58,"supported":14,"title":448,"abstract":449,"tags":450},[],[],[250,21],[452,453],"Sejnane 湿地 NDVI NDWI","突尼斯 拉姆萨尔湿地 遥感","Sejnane湿地NDVINDWI-3180","10.21203\u002Frs.3.rs-10690691\u002Fv1",{"doi":455,"openalex_id":457,"authors":458,"venue":430,"cited_by_count":15,"oa_url":428,"card":9,"direction":72,"ingested_from":74},"W7213955587",[459,461,463,466],{"name":460,"orcid":9},"Imen Khemiri",{"name":462,"orcid":9},"Chahida Chemingui",{"name":464,"orcid":465},"Alaeddine Rouissi","https:\u002F\u002Forcid.org\u002F0009-0000-9319-5182",{"name":467,"orcid":468},"Sahar Abidi","https:\u002F\u002Forcid.org\u002F0000-0003-3355-6876","2026-09-22T23:30:23.965045Z"]