[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3069":3,"related-3069":111},{"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":45,"search_phrases":79,"slug":82,"view_count":83,"doi":84,"paper":85,"created_at":110},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",null,"Hensard Journal of Environment","2026-09-20T00:00:00Z","论文",10,false,56,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},8,18,15,6,9,1,"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。",[25],{"name":10,"url":6},[27,28,29,30,31],"粮食安全","遥感监测","土地利用","城市化","湿地保护",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"I4","gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis","I",[39],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},"H6","biodiversity","生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity","H",{"status":46,"locked":14,"version":47,"method":48,"evidence":49},"classified","2026-10-22.2","rules",{"candidates":50,"agricultural_evidence":52},[51,59,64,72],{"code":33,"score":21,"supported":52,"title":53,"abstract":54,"tags":58},true,[],[55,56,57],"地理信息","GIS","geographic information",[],{"code":40,"score":17,"supported":52,"title":60,"abstract":61,"tags":63},[],[62,41],"生物多样性",[29,31],{"code":65,"score":66,"supported":52,"title":67,"abstract":68,"tags":71},"I3",7,[],[69,70],"遥感","remote sensing",[28],{"code":73,"score":74,"supported":52,"title":75,"abstract":76,"tags":78},"A8",4,[],[77],"food security",[27],[80,81],"Makurdi 湿地 城市化","Benue State 遥感","Makurdi湿地城市化-3069",2,"10.65757\u002Fhjev1n22",{"doi":84,"openalex_id":86,"authors":87,"venue":10,"cited_by_count":102,"oa_url":6,"card":103,"direction":107,"ingested_from":109},"W7213745048",[88,90,92,94,96,98,100],{"name":89,"orcid":9},"Joy Iganya Agene",{"name":91,"orcid":9},"Onoja Sunday",{"name":93,"orcid":9},"Akintunde Elijah",{"name":95,"orcid":9},"Ugese Ayangeaor Andrew",{"name":97,"orcid":9},"Kebiru Umoru",{"name":99,"orcid":9},"Aku Umaku Esther",{"name":101,"orcid":9},"Ombugu Gideon",0,{"tldr":104,"method":105,"finding":106,"direction":107,"opportunity":108},"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。","农业遥感与作物表型","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。","openalex","2026-09-21T23:30:24.084401Z",{"total":20,"page":22,"page_size":20,"items":112},[113,188,254,308,373,438],{"id":114,"title":115,"url":116,"summary":117,"summary_zh":118,"content":9,"source_name":119,"source_url":116,"published_at":120,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":121,"score_detail":122,"sources":126,"tags":128,"primary_topic":133,"secondary_topics":134,"classification":136,"search_phrases":161,"slug":164,"view_count":102,"doi":165,"paper":166,"created_at":187},5096,"Land Cover Change, Ecosystem Service Implications, and Economy–Land Use Decoupling:","https:\u002F\u002Fdoi.org\u002F10.14246\u002Firspsd.14.4_186","Land cover change plays a critical role in shaping watershed ecological conditions and supporting regional economic activities. This study analyzes land cover dynamics in the Tiworo Watershed, Southeast Sulawesi, Indonesia, for 2014, 2019, and 2024, and examines their relationship with sectoral economic growth. Remote sensing and GIS were used to map and quantify land cover changes, while sectoral Gross Regional Domestic Product (GRDP) data for agriculture, forestry, and fisheries represented economic performance. Economy–land use interactions were assessed using the Tapio decoupling elasticity index. Economy–land use interactions were assessed using the Tapio decoupling elasticity index as a retrospective empirical measure based on observed changes in land cover and sectoral GRDP over the study periods. The results show increasing sectoral GRDP accompanied by relatively limited changes in dominant land cover classes. Absolute decoupling was observed during 2014–2019, relative decoupling during 2019–2024, and overall absolute decoupling for 2014–2024, indicating that economic growth was not proportionally associated with large-scale land conversion. Spatial analysis reveals localized landscape transformations, including mangrove degradation, settlement expansion, and plantation growth, which signal emerging pressures on environmentally sensitive areas. Although ecosystem services are not directly valued, land cover change is interpreted as an indicator of ecological pressure with implications for provisioning ecosystem services. These findings highlight the importance of integrating land-use monitoring and economic indicators to support adaptive watershed management, spatial planning, and sustainable development.","土地覆盖变化在塑造流域生态状况和支撑区域经济活动方面发挥着关键作用。本研究分析了印度尼西亚东南苏拉威西省蒂沃罗流域（Tiworo Watershed）2014年、2019年和2024年的土地覆盖动态，并考察其与部门经济增长的关系。研究采用遥感和地理信息系统（GIS）对土地覆盖变化进行制图和量化，同时以农业、林业和渔业的部门地区生产总值（GRDP）数据表征经济表现。经济与土地利用的相互作用采用Tapio脱钩弹性指数进行评估，该指数作为基于研究期内观测到的土地覆盖变化和部门GRDP变化的回顾性经验测度。结果表明，部门GRDP持续增长，而主导土地覆盖类型的变化相对有限。2014—2019年呈现绝对脱钩，2019—2024年呈现相对脱钩，2014—2024年整体呈现绝对脱钩，表明经济增长与大规模土地转换之间不存在比例关联。空间分析揭示了局部景观转型，包括红树林退化、居民点扩张和种植园增长，这些信号表明环境敏感区域正面临新兴压力。尽管生态系统服务未被直接估值，但土地覆盖变化被解释为生态压力的指标，并对供给型生态系统服务具有潜在影响。这些发现凸显了整合土地利用监测与经济指标的重要性，以支持适应性流域管理、空间规划和可持续发展。","International Review for Spatial Planning and Sustainable Development","2026-10-14T00:00:00Z",63,{"impact":17,"substance":18,"depth":123,"authority":124,"freshness":17,"relevant":22,"comment":125},16,13,"基于遥感与GIS的流域土地利用变化与经济增长脱钩研究，方法规范但属区域案例，对国内三农信息化参考价值有限。",[127],{"name":119,"url":116},[28,129,130,131,132],"土地利用变化","流域管理","生态系统服务","空间规划",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},[135],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":46,"locked":14,"version":47,"method":48,"evidence":137},{"candidates":138,"agricultural_evidence":52},[139,144,150,154],{"code":40,"score":124,"supported":52,"title":140,"abstract":142,"tags":143},[141],"ecosystem service",[131],[129,131],{"code":33,"score":13,"supported":52,"title":145,"abstract":146,"tags":149},[],[55,147,56,148],"空间分析","spatial analysis",[132],{"code":65,"score":66,"supported":52,"title":151,"abstract":152,"tags":153},[],[69,70],[28],{"code":155,"score":156,"supported":52,"title":157,"abstract":158,"tags":160},"D",3,[],[159],"渔业",[],[162,163],"Tiworo流域 土地利用 遥感","Tapio脱钩 农业经济 土地覆盖","Tiworo流域土地利用遥感-5096","10.14246\u002Firspsd.14.4_186",{"doi":165,"openalex_id":167,"authors":168,"venue":119,"cited_by_count":102,"oa_url":181,"card":182,"direction":107,"ingested_from":109},"W7221789653",[169,172,175,178],{"name":170,"orcid":171},"Safril Kasim","https:\u002F\u002Forcid.org\u002F0009-0009-4679-4233",{"name":173,"orcid":174},"Hasddin Hasddin","https:\u002F\u002Forcid.org\u002F0000-0002-0114-5274",{"name":176,"orcid":177},"La Fariki","https:\u002F\u002Forcid.org\u002F0009-0003-7870-9028",{"name":179,"orcid":180},"Abhishek Agarwal","https:\u002F\u002Forcid.org\u002F0000-0002-0900-6383","https:\u002F\u002Fwww.jstage.jst.go.jp\u002Farticle\u002Firspsd\u002F14\u002F4\u002F14_9\u002F_pdf",{"tldr":183,"method":184,"finding":185,"direction":107,"opportunity":186},"分析印尼Tiworo流域2014-2024年土地覆盖变化与部门经济增长的脱钩关系。","遥感与GIS制图，结合GRDP数据和Tapio脱钩弹性指数。","经济持续增长但土地覆盖变化有限，整体呈绝对脱钩，局部红树林退化等生态压力显现。","可将脱钩指数与生态系统服务价值核算结合，量化流域生态压力并支撑空间规划。","2026-10-16T23:30:28.687070Z",{"id":189,"title":190,"url":191,"summary":192,"summary_zh":193,"content":9,"source_name":194,"source_url":191,"published_at":195,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":102,"score_detail":196,"sources":198,"tags":200,"primary_topic":203,"secondary_topics":204,"classification":206,"search_phrases":229,"slug":232,"view_count":74,"doi":233,"paper":234,"created_at":253},3061,"Assessing the Impact of Wetland Restoration Practices on Ecosystem Services: Evidence from Nyandungu Ecotourism Park, Kigali, Rwanda","https:\u002F\u002Fdoi.org\u002F10.37284\u002Feajenr.9.3.5808","Wetlands play a critical role in sustaining ecosystem services, particularly within rapidly urbanising environments where natural systems are increasingly under pressure. In Rwanda, urban wetland degradation is intensifying due to unplanned settlement expansion, pollution, and infrastructure development. In response, the Government of Rwanda established Nyandungu Ecotourism Park as a flagship urban wetland restoration project. However, limited empirical evidence exists assessing the actual impacts of restoration practices on ecosystem service provision. This study aimed to assess the impact of wetland restoration practices on ecosystem services in Nyandungu Ecotourism Park. The study adopted a mixed-methods research design integrating spatial analysis with socio-economic assessment. Remote sensing and GIS were used to analyse land cover and vegetation changes using satellite imagery from 2008 and 2024. Primary data were collected through questionnaires administered to 399 households and key informant interviews with 25 informants from park management officials, village leaders, and environmental experts. The findings revealed that restoration practices have been highly effective. Land use analysis showed a 92 percent reduction in cropland, while NDVI analysis revealed an 86 percent reduction in bareland and a 139 percent increase in high-quality vegetation cover, all statistically significant. These spatial changes were accompanied by remarkable biodiversity recovery, including 523 plant species, 158 bird species (a 90 percent increase), the Near-Threatened spotted-necked otter, and 41 aquatic macroinvertebrate families. Household survey results showed that 87.2 percent of respondents agreed that biodiversity increased, while 75.5 percent agreed that soil quality improved. However, only 19.5 percent believed the wetland contributes to food-related resources, reflecting the trade-off between conservation success and reduced community resource access.","湿地在维持生态系统服务方面发挥着关键作用，尤其是在自然系统日益承受压力的快速城市化环境中。在卢旺达，由于无序定居点扩张、污染和基础设施建设，城市湿地退化正在加剧。为此，卢旺达政府建立了尼扬敦古生态旅游公园，作为城市湿地修复的旗舰项目。然而，评估修复实践对生态系统服务供给实际影响的实证证据仍然有限。本研究旨在评估湿地修复实践对尼扬敦古生态旅游公园生态系统服务的影响。研究采用混合方法研究设计，将空间分析与社会经济评估相结合。利用2008年和2024年的卫星影像，通过遥感和地理信息系统分析土地覆盖和植被变化。原始数据通过面向399户家庭的问卷调查以及对25名关键信息提供者的访谈收集，访谈对象包括公园管理官员、村级领导和环境专家。研究结果显示，修复实践成效显著。土地利用分析表明，耕地减少了92%；NDVI分析显示，裸地减少了86%，高质量植被覆盖增加了139%，均具有统计学显著性。这些空间变化伴随着显著的生物多样性恢复，包括523种植物、158种鸟类（增加90%）、近危物种斑颈水獭以及41个水生大型无脊椎动物科。家庭调查结果显示，87.2%的受访者认为生物多样性有所增加，75.5%的受访者认为土壤质量有所改善。然而，仅有19.5%的受访者认为该湿地对食物相关资源有贡献，这反映了保护成效与社区资源获取减少之间的权衡。","East African Journal of Environment and Natural Resources","2026-09-19T00:00:00Z",{"impact":102,"substance":102,"depth":102,"authority":102,"freshness":102,"relevant":102,"comment":197},"卢旺达城市湿地修复与生态系统服务评估研究，属生态学范畴，与三农、农业信息化、智慧农业主题无直接关联。",[199],{"name":194,"url":191},[28,131,201,202],"城市生态","湿地修复",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},[205],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":46,"locked":14,"version":47,"method":48,"evidence":207},{"candidates":208,"agricultural_evidence":52},[209,214,218,222],{"code":40,"score":210,"supported":52,"title":211,"abstract":212,"tags":213},11,[],[62,131,41,141],[201,131],{"code":33,"score":21,"supported":52,"title":215,"abstract":216,"tags":217},[],[55,147,56,148],[],{"code":65,"score":66,"supported":52,"title":219,"abstract":220,"tags":221},[],[69,70],[28],{"code":223,"score":20,"supported":52,"title":224,"abstract":225,"tags":228},"H2",[],[226,227],"土壤","soil",[],[230,231],"Nyandungu 湿地公园","卢旺达 湿地修复","Nyandungu湿地公园-3061","10.37284\u002Feajenr.9.3.5808",{"doi":233,"openalex_id":235,"authors":236,"venue":194,"cited_by_count":102,"oa_url":245,"card":246,"direction":252,"ingested_from":109},"W7213648305",[237,239,241,243],{"name":238,"orcid":9},"Oscar Niyomugabo",{"name":240,"orcid":9},"Aboubakar Gasirabo",{"name":242,"orcid":9},"Bernard Tuyishimire",{"name":244,"orcid":9},"Grace De Die Iyishaka","https:\u002F\u002Fjournals.eanso.org\u002Findex.php\u002Feajenr\u002Farticle\u002Fdownload\u002F5808\u002F6138",{"tldr":247,"method":248,"finding":249,"direction":250,"opportunity":251},"评估卢旺达Nyandungu城市湿地公园修复对生态系统服务的影响。","遥感GIS分析2008与2024土地覆盖，结合399户问卷和25位关键知情人访谈","修复使裸地减86%、优质植被增139%、鸟类增90%，但仅19.5%受访者认为湿地提供食物资源。","农业绿色发展与碳","城市湿地修复中保护成效与社区食物资源获取的权衡机制及补偿路径值得研究。","智慧农业 \u002F 农业物联网","2026-09-21T23:30:09.515975Z",{"id":255,"title":256,"url":257,"summary":258,"summary_zh":259,"content":9,"source_name":260,"source_url":261,"published_at":262,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":263,"score_detail":264,"sources":268,"tags":270,"primary_topic":273,"secondary_topics":274,"classification":276,"search_phrases":291,"slug":294,"view_count":83,"doi":295,"paper":296,"created_at":307},4093,"Identificação de áreas prioritárias utilizando SIG e sensoriamento remoto para restauração ecológica: contribuições para a conservação do Doradito Tucumano (Tucumán – Argentina)","https:\u002F\u002Fdoi.org\u002F10.19137\u002F\u002Fhuellas-2026-3015","Landscape transformation driven by agricultural frontier expansion has intensified the fragmentation of habitats used by the Tucumán Doradito (Pseudocolopteryx dinelliana), a Near Threatened (NT) species, reducing ecological connectivity and the availability of suitable habitats in Tucumán Province, Argentina. This study aimed to identify priority areas for ecological restoration through the integration of Geographic Information Systems (GIS), remote sensing, and multicriteria analysis. Species occurrence records from GBIF, EcoRegistros, and the National Biodiversity Information System were combined with the IUCN potential distribution, Landsat 8\u002F9 imagery, the Normalized Difference Vegetation Index (NDVI), the Normalized Difference Water Index (NDWI), and a Digital Elevation Model provided by the National Geographic Institute. Map algebra and suitability and exclusion criteria were applied to identify 50,481 ha of high-priority restoration areas, representing 2.2% of the provincial territory. The results indicate that the departments of Graneros, Leales and Simoca contain 55.9% of the priority area, constituting the main core for restoring landscape connectivity. The proposed methodology provides an objective framework to support territorial planning and prioritize ecological restoration actions aimed at strengthening the conservation of the Tucumán Doradito in highly transformed landscapes.","农业前沿扩张驱动的景观转变加剧了图库曼多拉迪托鸟（Pseudocolopteryx dinelliana）所利用生境的破碎化，该物种为近危（NT）物种，导致阿根廷图库曼省的生态连通性和适宜生境可用性降低。本研究旨在通过整合地理信息系统（GIS）、遥感和多准则分析，确定生态恢复的优先区域。将来自GBIF、EcoRegistros和国家生物多样性信息系统的物种分布记录与IUCN潜在分布区、Landsat 8\u002F9影像、归一化植被指数（NDVI）、归一化水体指数（NDWI）以及国家地理研究所提供的数字高程模型相结合。应用地图代数以及适宜性和排除标准，确定了50,481公顷的高优先级恢复区域，占全省面积的2.2%。结果表明，Graneros、Leales和Simoca等省辖区包含优先区域的55.9%，构成了恢复景观连通性的核心区域。所提出的方法为支持国土空间规划、优先开展旨在加强高度转变景观中图库曼多拉迪托鸟保护的生态恢复行动提供了客观框架。","Huellas","https:\u002F\u002Fcerac.unlpam.edu.ar\u002Findex.php\u002Findex\u002Farticle\u002Fview\u002F9861","2026-10-01T00:00:00Z",59,{"impact":17,"substance":265,"depth":266,"authority":20,"freshness":17,"relevant":22,"comment":267},20,17,"阿根廷图库曼省利用GIS与遥感识别生态修复优先区的论文，方法可借鉴但属区域案例，公共价值有限。",[269],{"name":260,"url":261},[69,271,62,56,272],"生态修复","景观连通性",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[275],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"status":46,"locked":14,"version":47,"method":48,"evidence":277},{"candidates":278,"agricultural_evidence":52},[279,283,287],{"code":33,"score":13,"supported":52,"title":280,"abstract":281,"tags":282},[],[55,56,57],[56],{"code":40,"score":17,"supported":52,"title":284,"abstract":285,"tags":286},[],[62,41],[271,62],{"code":65,"score":66,"supported":52,"title":288,"abstract":289,"tags":290},[],[69,70],[69],[292,293],"Tucumán Doradito 生态修复","Landsat NDVI 优先区识别","TucumánDoradito生态修复-4093","10.19137\u002F\u002Fhuellas-2026-3015",{"doi":295,"openalex_id":297,"authors":298,"venue":260,"cited_by_count":102,"oa_url":261,"card":302,"direction":107,"ingested_from":109},"W7216132579",[299],{"name":300,"orcid":301},"Andrea Margarita Díaz","https:\u002F\u002Forcid.org\u002F0009-0000-0126-0400",{"tldr":303,"method":304,"finding":305,"direction":107,"opportunity":306},"结合GIS、遥感和多准则分析，识别阿根廷图库曼省优先生态恢复区以保护近危鸟类。","使用GBIF等物种记录、Landsat影像、NDVI、NDWI和DEM进行地图代","识别出50,481公顷高优先级恢复区，占省域2.2%，集中在Graneros、Leales和Simo","可延伸至农业景观中多物种连通性保护规划，或结合时序遥感动态评估恢复成效。","2026-10-03T23:30:35.383506Z",{"id":309,"title":310,"url":311,"summary":312,"summary_zh":313,"content":9,"source_name":314,"source_url":311,"published_at":315,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":102,"score_detail":316,"sources":318,"tags":320,"primary_topic":323,"secondary_topics":328,"classification":330,"search_phrases":350,"slug":353,"view_count":102,"doi":354,"paper":355,"created_at":372},5485,"Integrating machine learning and geospatial technologies for spatio-temporal analysis of urban expansion and land use transformation in Gambella Town, Ethiopia","https:\u002F\u002Fdoi.org\u002F10.1371\u002Fjournal.pone.0360419","Rapid urbanization and the associated expansion of built-up areas are transforming land resources, ecosystem functions, and the spatial structure of cities. Distinguishing urban growth, urban expansion, and urban sprawl is essential for understanding the processes and patterns of urban transformation and supporting sustainable urban planning. This study integrates machine learning and geospatial technologies to analyze spatio-temporal land use and land cover (LULC) dynamics and urban expansion in Gambella Town, Ethiopia. Multi-temporal Landsat satellite images from 2005, 2015, and 2025 were processed using remote sensing techniques and a supervised machine learning approach based on the Random Forest (RF) classifier. Six major LULC classes were identified: Agricultural Land, Bush with Grass, Built-Up Area, Bare Land, Forest Land, and Water Bodies. The classification achieved overall accuracies of 90%, 90%, and 89% for 2005, 2015, and 2025, respectively. The results revealed substantial land transformation and rapid physical urban expansion, with the built-up area increasing from 93 ha (2.0%) in 2005–1,956 ha (41.3%) in 2025. This expansion was accompanied by major transformations of surrounding land resources, particularly the conversion of Bush with Grass and other open areas to built-up land. Agricultural land increased from 634 ha (13.4%) to 1,750 ha (36.9%), whereas Bush with Grass declined from 3,375 ha (71.1%) to 652 ha (13.7%). Socio-economic information collected from 277 respondents indicated that population growth, rural–urban migration, housing demand, employment opportunities, and infrastructure development were major drivers of urban expansion. The study distinguishes urban expansion, represented by the increase in built-up land, from urban sprawl, which refers to the spatial pattern and form of outward urban development. The integration of Random Forest classification and GIS-based spatial analysis provides valuable evidence of land transformation, vegetation loss, and increasing pressure on urban services, supporting more sustainable urban planning and land management in Gambella Town.","快速城市化及与之相关的建成区扩张正在改变土地资源、生态系统功能和城市空间结构。区分城市增长（urban growth）、城市扩张（urban expansion）和城市蔓延（urban sprawl），对于理解城市转型的过程与格局、支撑可持续城市规划至关重要。本研究融合机器学习与地理空间技术，分析埃塞俄比亚甘贝拉镇（Gambella Town）土地利用与土地覆盖（LULC）的时空动态及城市扩张。采用遥感技术和基于随机森林（RF）分类器的监督机器学习方法，处理了2005年、2015年和2025年的多时相Landsat卫星影像。研究识别出六类主要LULC类型：农业用地、灌草地、建成区、裸地、林地和水体。2005年、2015年和2025年的分类总体精度分别为90%、90%和89%。结果表明，土地发生了显著转变，城市实体空间快速扩张，建成区面积从2005年的93公顷（2.0%）增至2025年的1,956公顷（41.3%）。这一扩张伴随着周边土地资源的重大转变，尤其是灌草地及其他开阔地被转化为建成用地。农业用地从634公顷（13.4%）增至1,750公顷（36.9%），而灌草地则从3,375公顷（71.1%）降至652公顷（13.7%）。从277名受访者收集的社会经济信息表明，人口增长、城乡迁移、住房需求、就业机会和基础设施建设是城市扩张的主要驱动因素。本研究将城市扩张（以建成用地增加为表征）与城市蔓延（指城市向外发展的空间格局与形态）加以区分。随机森林分类与基于GIS的空间分析的融合，为土地转变、植被丧失及城市服务压力加剧提供了有价值的证据，有助于甘贝拉镇实现更可持续的城市规划与土地管理。","PLoS ONE","2026-10-20T00:00:00Z",{"impact":102,"substance":102,"depth":102,"authority":102,"freshness":102,"relevant":102,"comment":317},"研究聚焦埃塞俄比亚城市扩张与土地利用变化，属城市地理与遥感应用，与三农、农业信息化主题无直接关联，不建议进入每日精选。",[319],{"name":314,"url":311},[321,28,29,322],"机器学习","城市扩张",{"code":324,"slug":325,"name":326,"path":327,"parent_code":37},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai",[329],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":46,"locked":14,"version":47,"method":48,"evidence":331},{"candidates":332,"agricultural_evidence":52},[333,338,342,346],{"code":324,"score":19,"supported":52,"title":334,"abstract":336,"tags":337},[335],"machine learning",[321,335],[321],{"code":33,"score":21,"supported":52,"title":339,"abstract":340,"tags":341},[],[147,56,148],[],{"code":65,"score":66,"supported":52,"title":343,"abstract":344,"tags":345},[],[69,70],[28],{"code":40,"score":22,"supported":14,"title":347,"abstract":348,"tags":349},[],[],[29],[351,352],"Gambella Town 城市扩张","Random Forest 土地利用分类","GambellaTown城市扩张-5485","10.1371\u002Fjournal.pone.0360419",{"doi":354,"openalex_id":356,"authors":357,"venue":314,"cited_by_count":102,"oa_url":311,"card":367,"direction":107,"ingested_from":109},"W7223022155",[358,361,363,365],{"name":359,"orcid":360},"Kanenus Fufa Dararo","https:\u002F\u002Forcid.org\u002F0009-0007-5747-1558",{"name":362,"orcid":9},"Goanar Jal Dup",{"name":364,"orcid":9},"Weyesa Merga Chemeda",{"name":366,"orcid":9},"Shankar Karuppannan",{"tldr":368,"method":369,"finding":370,"direction":107,"opportunity":371},"用机器学习与遥感分析埃塞俄比亚甘贝拉镇2005-2025年城市扩张与土地利用变化。","Landsat多时相影像、随机森林分类与GIS空间分析，结合277份问卷。","建成区从93公顷增至1956公顷，灌草地大幅转为建成区和农地。","可将随机森林时序分类与驱动力调查结合，扩展到更多非洲小城镇并耦合城市增长模拟。","2026-10-21T23:30:23.271293Z",{"id":374,"title":375,"url":376,"summary":377,"summary_zh":378,"content":9,"source_name":379,"source_url":376,"published_at":380,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":381,"score_detail":382,"sources":385,"tags":387,"primary_topic":389,"secondary_topics":394,"classification":396,"search_phrases":413,"slug":416,"view_count":102,"doi":417,"paper":418,"created_at":437},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":123,"substance":383,"depth":18,"authority":124,"freshness":17,"relevant":22,"comment":384},21,"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。",[386],{"name":379,"url":376},[271,28,388,129,31],"灌溉农业",{"code":390,"slug":391,"name":392,"path":393,"parent_code":44},"H3","irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",[395],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"status":46,"locked":14,"version":47,"method":48,"evidence":397},{"candidates":398,"agricultural_evidence":52},[399,405,409],{"code":390,"score":13,"supported":52,"title":400,"abstract":401,"tags":404},[],[402,403,391],"灌溉","水资源",[388],{"code":40,"score":21,"supported":52,"title":406,"abstract":407,"tags":408},[],[131,141],[129,31,271],{"code":65,"score":66,"supported":52,"title":410,"abstract":411,"tags":412},[],[69,70],[28],[414,415],"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":417,"openalex_id":419,"authors":420,"venue":379,"cited_by_count":102,"oa_url":376,"card":432,"direction":107,"ingested_from":109},"W7222966485",[421,424,426,429],{"name":422,"orcid":423},"Mohamed Dakki","https:\u002F\u002Forcid.org\u002F0000-0002-8042-3972",{"name":425,"orcid":9},"Said El Falah",{"name":427,"orcid":428},"Ibrahim Makrane","https:\u002F\u002Forcid.org\u002F0009-0002-9201-206X",{"name":430,"orcid":431},"Ismail Mansouri","https:\u002F\u002Forcid.org\u002F0000-0002-3679-6050",{"tldr":433,"method":434,"finding":435,"direction":107,"opportunity":436},"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":439,"title":440,"url":441,"summary":442,"summary_zh":443,"content":9,"source_name":444,"source_url":441,"published_at":445,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":446,"score_detail":447,"sources":450,"tags":452,"primary_topic":455,"secondary_topics":456,"classification":457,"search_phrases":472,"slug":475,"view_count":102,"doi":476,"paper":477,"created_at":494},5323,"Impact of Land Use and Land Cover Change on Vegetation Cover Loss in Rwanda: Evidence from Muhoza Sector, Musanze District (2015–2025)","https:\u002F\u002Fdoi.org\u002F10.38124\u002Fijisrt\u002F26oct696","This study analyzed the impact of land use and land cover (LULC) change on vegetation cover loss in Muhoza Sector, Musanze District, Rwanda, between 2015 and 2025. A quantitative geospatial research design was adopted using multi-temporal Landsat and Sentinel-2 satellite imagery, field-based GPS validation, Geographic Information Systems, and Normalized Difference Vegetation Index (NDVI) analysis. Six land-cover classes—forestland, grassland, cropland, urbanized land, wetland, and water bodies—were mapped using supervised classification and post-classification change detection.","本研究分析了2015年至2025年间卢旺达穆桑泽区穆霍扎地区土地利用与土地覆盖（LULC）变化对植被覆盖丧失的影响。研究采用定量地理空间研究设计，运用多时相Landsat和Sentinel-2卫星影像、基于实地GPS验证、地理信息系统以及归一化植被指数（NDVI）分析。通过监督分类和分类后变化检测，对林地、草地、耕地、城市化用地、湿地和水体六类土地覆盖类型进行了制图。","International Journal of Innovative Science and Research Technology (IJISRT)","2026-10-17T00:00:00Z",55,{"impact":17,"substance":18,"depth":448,"authority":20,"freshness":21,"relevant":22,"comment":449},14,"基于Landsat与Sentinel-2多时相影像的卢旺达局部土地利用变化与植被损失实证研究，方法规范但属区域案例，国际参考价值有限。",[451],{"name":444,"url":441},[28,29,453,454],"植被覆盖","卢旺达农业",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":46,"locked":14,"version":47,"method":48,"evidence":458},{"candidates":459,"agricultural_evidence":52},[460,464,468],{"code":33,"score":20,"supported":52,"title":461,"abstract":462,"tags":463},[],[55,57],[],{"code":65,"score":83,"supported":14,"title":465,"abstract":466,"tags":467},[],[],[453,28],{"code":40,"score":22,"supported":14,"title":469,"abstract":470,"tags":471},[],[],[29],[473,474],"Muhoza Sector 土地利用","卢旺达 NDVI 植被覆盖","MuhozaSector土地利用-5323","10.38124\u002Fijisrt\u002F26oct696",{"doi":476,"openalex_id":478,"authors":479,"venue":444,"cited_by_count":102,"oa_url":488,"card":489,"direction":107,"ingested_from":109},"W7222817253",[480,482,484,485],{"name":481,"orcid":9},"Vincent Hategekimana",{"name":483,"orcid":9},"Richard Mind J. E.",{"name":240,"orcid":9},{"name":486,"orcid":487},"Didier Ntwali","https:\u002F\u002Forcid.org\u002F0000-0002-6914-6652","https:\u002F\u002Fwww.ijisrt.com\u002Fassets\u002Fupload\u002Ffiles\u002FIJISRT26OCT696.pdf",{"tldr":490,"method":491,"finding":492,"direction":107,"opportunity":493},"分析卢旺达Muhoza地区2015–2025年土地利用变化对植被覆盖丧失的影响。","多时相Landsat与Sentinel-2影像、GPS实地验证、GIS与NDVI","六类地物制图揭示建设用地扩张等LULC变化是植被覆盖减少的主要驱动。","可结合高分辨率时序遥感与驱动因子模型，量化小农户尺度城镇化对耕地与植被的胁迫。","2026-10-19T23:30:23.040351Z"]