[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3061":3,"related-3061":51},{"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,"search_phrases":25,"slug":28,"view_count":15,"doi":29,"paper":30,"created_at":50},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。",null,"East African Journal of Environment and Natural Resources","2026-09-19T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"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。",[19],{"name":10,"url":6},[21,22,23,24],"遥感监测","生态系统服务","城市生态","湿地修复",[26,27],"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":29,"openalex_id":31,"authors":32,"venue":10,"cited_by_count":15,"oa_url":41,"card":42,"direction":48,"ingested_from":49},"W7213648305",[33,35,37,39],{"name":34,"orcid":9},"Oscar Niyomugabo",{"name":36,"orcid":9},"Aboubakar Gasirabo",{"name":38,"orcid":9},"Bernard Tuyishimire",{"name":40,"orcid":9},"Grace De Die Iyishaka","https:\u002F\u002Fjournals.eanso.org\u002Findex.php\u002Feajenr\u002Farticle\u002Fdownload\u002F5808\u002F6138",{"tldr":43,"method":44,"finding":45,"direction":46,"opportunity":47},"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","openalex","2026-09-21T23:30:09.515975Z",{"total":52,"page":53,"page_size":52,"items":54},6,1,[55,97,137,194,226,279],{"id":56,"title":57,"url":58,"summary":59,"summary_zh":60,"content":9,"source_name":61,"source_url":58,"published_at":62,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":63,"sources":65,"tags":67,"search_phrases":69,"slug":72,"view_count":15,"doi":73,"paper":74,"created_at":96},2535,"Development of an ecological greenness index (EGI) for urban environmental monitoring: a remote sensing and multivariate analytical approach","https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-026-70643-x","Abstract Several remote sensing-based indices have been proposed. While most measures are disjointed, several integrated ecological indices are offered. The purpose of this study is to introduce an Ecological Greenness Index (EGI) as a composite and integrated ecological index. This index was established by combining eight remote sensing-derived indices, including NDVI, NDSI, NDBI, LST, LAI, and three Tasseled Cap indices. Principal Component Analysis (PCA) was used to reduce dimensionality among RS-based derived components. The PCA eigenvalues were used as weights in the fuzzy logic method. The fuzzy logic overlay method was used to combine the retained components and produce the final EGI map. The results showed that four principal components (SIPC1–SIPC4), which explained about 99.99% of the total variance, were used for the final EGI construction. The EGI was implemented and internally assessed in Tehran, Iran, as a case study. The eigenvalue (λ) of each retained SIPC was used to derive the component weights for EGI construction. The results revealed substantial regional heterogeneity: the mean quantity of EGI in Tehran’s northern area was 0.29 (e.g., District 1), while it reduced to 0.076 in southern districts (e.g., District 10). A north–south transect analysis confirmed a steep ecological gradient across the city. EGI integrated vegetation structure, soil exposure, moisture, thermal conditions, and built-up characteristics within a unified PCA–fuzzy framework. It provides a broader diagnostic representation of urban ecological greenness. Zonal statistics depicted the spatial variation of EGI across Tehran’s 22 administrative districts. Despite the limitations of this study, such as using single-season and 30 m resolution satellite data, the EGI provides a quantitative framework for monitoring urban ecology. It represents a potentially useful tool for cities facing rapid urbanization and ecological greenness changes. Based on this case study, the EGI framework has the potential to be used as an integrated environmental quality assessment tool. The EGI integrating multiple ecological dimensions that may complement established indices such as the Remote Sensing-based Ecological Index (RSEI) in complex urban environments. Generalization of the EGI requires independent validation across additional urban contexts.","摘要 目前已提出多种基于遥感的指数。尽管大多数指标彼此独立，但也出现了一些综合生态指数。本研究的目的是引入生态绿度指数（EGI）作为一种复合综合生态指数。该指数通过整合八个遥感衍生指数建立，包括NDVI、NDSI、NDBI、LST、LAI以及三个缨帽变换指数。采用主成分分析（PCA）对遥感衍生组分进行降维。将PCA特征值作为模糊逻辑方法中的权重。利用模糊逻辑叠加方法将保留的主成分进行组合，生成最终的EGI图。结果表明，四个主成分（SIPC1–SIPC4）解释了约99.99%的总方差，被用于最终EGI的构建。EGI在伊朗德黑兰作为案例研究进行了实施和内部评估。每个保留的SIPC的特征值（λ）被用于推导EGI构建的组分权重。结果揭示了显著的区域异质性：德黑兰北部地区（如第1区）EGI的均值为0.29，而南部地区（如第10区）降至0.076。南北向样带分析证实了城市范围内存在陡峭的生态梯度。EGI在统一的PCA–模糊框架内整合了植被结构、土壤暴露、湿度、热力条件和建成区特征。它为城市生态绿度提供了更广泛的诊断性表征。分区统计描绘了德黑兰22个行政区的EGI空间变化。尽管本研究存在局限性，如使用单季节和30 m分辨率卫星数据，但EGI为监测城市生态提供了定量框架。它代表了应对快速城市化和生态绿度变化城市的一个潜在有用工具。基于本案例研究，EGI框架有潜力作为综合环境质量评估工具使用。EGI整合了多个生态维度，可在复杂城市环境中补充遥感生态指数（RSEI）等已有指数。EGI的推广需要在更多城市背景下进行独立验证。","Scientific Reports","2026-09-13T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":64},"该研究聚焦城市生态绿度遥感监测，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。",[66],{"name":61,"url":58},[21,23,68],"生态指数",[70,71],"城市生态 生态指数 遥感监测","城市生态 生态指数","城市生态生态指数遥感监测-2535","10.1038\u002Fs41598-026-70643-x",{"doi":73,"openalex_id":75,"authors":76,"venue":61,"cited_by_count":15,"oa_url":89,"card":90,"direction":94,"ingested_from":49},"W7212454298",[77,80,83,85,87],{"name":78,"orcid":79},"Amir Houshang Ehsani","https:\u002F\u002Forcid.org\u002F0000-0002-5483-1163",{"name":81,"orcid":82},"Hassan Darabi","https:\u002F\u002Forcid.org\u002F0000-0002-9353-4639",{"name":84,"orcid":9},"Shakila Abedi",{"name":86,"orcid":9},"Seydeh Roya khamooshian",{"name":88,"orcid":9},"Faezeh pouyanejad","https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41598-026-70643-x_reference.pdf",{"tldr":91,"method":92,"finding":93,"direction":94,"opportunity":95},"构建融合八个遥感指标的生态绿度指数EGI，并在德黑兰验证其城市生态监测能力。","整合NDVI、NDSI、NDBI、LST、LAI等八指标，用PCA降维加权与模糊","四个主成分解释99.99%方差，EGI呈显著南北梯度，北部0.29、南部0.076。","农业遥感与作物表型","可将EGI框架迁移至农业区，结合多季与高分辨率数据验证其跨区域泛化性。","2026-09-15T23:30:21.213654Z",{"id":98,"title":99,"url":100,"summary":101,"summary_zh":102,"content":9,"source_name":103,"source_url":100,"published_at":104,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":105,"score_detail":106,"sources":112,"tags":114,"search_phrases":118,"slug":121,"view_count":15,"doi":122,"paper":123,"created_at":136},2436,"Oasis Expansion and its impacts on Ecosystem Services in Southern Tunisia","https:\u002F\u002Fdoi.org\u002F10.56027\u002Fjoasd.112026","Many ecosystems face multiple pressures that affect their ability to provide ecosystem services. These services are commonly grouped into four categories: Provisioning, Regulating, Cultural and Supporting services. These services can lead to develop business opportunities for local communities. However, human activities and natural hazards may conduct to ecosystem degradation and loss of biodiversity and consequently, to business risks. In arid regions, oasis ecosystems have a crucial economic and social impact. However, natural and anthropogenic factors may affect oases ecosystems and their services. Therefore, the main objective of this research is to assess changes in oasis ecosystems in southern Tunisia using multi-temporal satellite images and NDVI analysis. The methodology is based on Landsat satellite data acquired between 1995 and 2025 and the calculation of NDVI. The results shows that the oasis areas in the study area increased by 42.36%. While this expansion reflects agricultural intensification, it may also lead to higher water consumption, soil degradation and biodiversity loss. This research can help local stakeholders better understand environmental risks and support the development of appropriate strategies to preserve oasis ecosystems.","许多生态系统面临多重压力，影响其提供生态系统服务的能力。这些服务通常分为四类：供给服务、调节服务、文化服务和支持服务。这些服务可为当地社区带来商业机会。然而，人类活动和自然灾害可能导致生态系统退化和生物多样性丧失，进而带来商业风险。在干旱地区，绿洲生态系统具有重要的经济和社会影响。然而，自然和人为因素可能影响绿洲生态系统及其服务。因此，本研究的主要目标是利用多时相卫星影像和NDVI分析评估突尼斯南部绿洲生态系统的变化。该方法基于1995年至2025年间获取的Landsat卫星数据和NDVI计算。结果表明，研究区内的绿洲面积增加了42.36%。虽然这一扩张反映了农业集约化，但也可能导致更高的水资源消耗、土壤退化和生物多样性丧失。本研究可帮助当地利益相关者更好地理解环境风险，并支持制定适当的策略以保护绿洲生态系统。","JOURNAL OF OASIS AGRICULTURE AND SUSTAINABLE DEVELOPMENT","2026-09-11T00:00:00Z",68,{"impact":107,"substance":108,"depth":109,"authority":107,"freshness":110,"relevant":53,"comment":111},12,20,16,8,"基于1995—2025年Landsat影像与NDVI分析突尼斯南部绿洲扩张及其生态代价，方法规范、数据跨度长，对干旱区农业遥感与生态风险研究有参考价值，但属区域案例，公共影响有限。",[113],{"name":103,"url":100},[115,21,22,116,117],"NDVI","绿洲农业","荒漠化防治",[119,120],"生态系统服务 荒漠化防治 绿洲农业 遥感监测","生态系统服务 荒漠化防治","生态系统服务荒漠化防治绿洲农业遥感监测-2436","10.56027\u002Fjoasd.112026",{"doi":122,"openalex_id":124,"authors":125,"venue":103,"cited_by_count":15,"oa_url":130,"card":131,"direction":94,"ingested_from":49},"W7212394548",[126,128],{"name":127,"orcid":9},"Abdelaziz Ben Abdallah",{"name":129,"orcid":9},"Mohamed Kefi","https:\u002F\u002Fwww.joasdjournal.org\u002Findex.php\u002Fjoasd\u002Farticle\u002Fdownload\u002F347\u002F306",{"tldr":132,"method":133,"finding":134,"direction":94,"opportunity":135},"用Landsat多时相影像和NDVI分析突尼斯南部绿洲1995-2025年扩张及其对生态系统服务的影","Landsat多时相影像（1995-2025）与NDVI计算，评估绿洲面积变化。","绿洲面积增加42.36%，但扩张可能加剧水资源消耗、土壤退化和生物多样性丧失。","可结合多源遥感与生态系统服务模型，量化绿洲扩张对水资源和碳储的权衡关系。","2026-09-14T23:30:27.585327Z",{"id":138,"title":139,"url":140,"summary":141,"summary_zh":142,"content":9,"source_name":143,"source_url":140,"published_at":144,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":145,"score_detail":146,"sources":150,"tags":152,"search_phrases":156,"slug":159,"view_count":15,"doi":160,"paper":161,"created_at":193},2305,"A Review of Research Progress on the Value of Ecological Products from Soil and Water Conservation Measures","https:\u002F\u002Fdoi.org\u002F10.15244\u002Fpjoes\u002F220640","Against the backdrop of global climate change and sustainable development, research on the value of ecological products derived from soil and water conservation measures has attracted increasing attention. Addressing the issue of value realization for ecological products derived from soil and water conservation measures, this study used VOSviewer software to perform a visual analysis of 2,935 literature entries from the Web of Science Core Collection, covering the fields of “ecological product value” and “ecosystem services” from 2020 to 2024. The research traced two temporal trajectories: the evolution of soil and water conservation technologies and the formation of the theoretical framework for ecological product value. By integrating methods such as multi-source remote sensing, dynamic correction, and model coupling, the study refined the equivalent factor method to establish a value realization mechanism centered on ecological product value and supplemented by ecological compensation. The results demonstrate that the ecological benefits of soil and water conservation measures can be effectively converted into economic benefits, thus providing a crucial reference for promoting regional sustainable development.","在全球气候变化与可持续发展背景下，水土保持措施生态产品价值研究日益受到关注。针对水土保持措施生态产品价值实现问题，本研究利用VOSviewer软件对Web of Science核心合集2020—2024年间“生态产品价值”与“生态系统服务”领域的2935条文献进行可视化分析。研究追溯了水土保持技术演进与生态产品价值理论框架形成两条时间轨迹，通过整合多源遥感、动态修正与模型耦合等方法，改进当量因子法，建立以生态产品价值为核心、生态补偿为补充的价值实现机制。结果表明，水土保持措施的生态效益能够有效转化为经济效益，为促进区域可持续发展提供重要参考。","Polish Journal of Environmental Studies","2026-09-10T00:00:00Z",72,{"impact":109,"substance":108,"depth":147,"authority":148,"freshness":52,"relevant":53,"comment":149},17,13,"基于2935篇文献的计量分析，提出水土保持生态产品价值实现与生态补偿机制，方法整合多源遥感与模型耦合，对生态农业与绿色乡村建设有参考价值。",[151],{"name":143,"url":140},[153,21,154,22,155],"生态产品价值","水土保持","生态补偿",[157,158],"生态产品价值 生态系统服务 水土保持 生态补偿","生态产品价值 生态系统服务","生态产品价值生态系统服务水土保持生态补偿-2305","10.15244\u002Fpjoes\u002F220640",{"doi":160,"openalex_id":162,"authors":163,"venue":143,"cited_by_count":15,"oa_url":187,"card":188,"direction":48,"ingested_from":49},"W7212128490",[164,167,170,173,175,177,179,182,184],{"name":165,"orcid":166},"Qingqing Chen","https:\u002F\u002Forcid.org\u002F0009-0008-4846-787X",{"name":168,"orcid":169},"Tianling Qin","https:\u002F\u002Forcid.org\u002F0000-0002-6073-6744",{"name":171,"orcid":172},"Xizhi Lv","https:\u002F\u002Forcid.org\u002F0000-0003-1598-1414",{"name":174,"orcid":9},"Jianming Feng",{"name":176,"orcid":9},"Yuhui Yang",{"name":178,"orcid":9},"Haoyue Gao",{"name":180,"orcid":181},"Yufei Yan","https:\u002F\u002Forcid.org\u002F0000-0003-2558-5749",{"name":183,"orcid":9},"Qionglin Wang",{"name":185,"orcid":186},"Chenyang Wang","https:\u002F\u002Forcid.org\u002F0000-0002-9091-1400","https:\u002F\u002Fwww.pjoes.com\u002Fpdf-220640-144120?filename=A-Review-of-Research-Prog.pdf",{"tldr":189,"method":190,"finding":191,"direction":46,"opportunity":192},"综述水土保持生态产品价值研究，用文献计量与遥感模型构建价值实现机制。","VOSviewer分析2935篇文献，结合多源遥感、动态修正与模型耦合改进当量因","水土保持措施的生态效益可有效转化为经济效益，支撑区域可持续发展。","可探索水土保持生态产品价值核算的标准化与生态补偿市场化机制。","2026-09-13T23:30:10.979296Z",{"id":195,"title":196,"url":197,"summary":198,"summary_zh":9,"content":9,"source_name":199,"source_url":9,"published_at":200,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":201,"score_detail":202,"sources":206,"tags":208,"search_phrases":213,"slug":216,"view_count":15,"doi":9,"paper":217,"created_at":225},3122,"Advances in Information Sensing and Intelligent Monitoring of Field Crops Throughout the Full Growth Cycle（大田作物全生育期信息感知与智能监测研究进展）","https:\u002F\u002Fwww.mdpi.com\u002F2073-4395\u002F16\u002F18\u002F1852","江苏大学农业工程学院 Tang Ruifan 等在《Agronomy》16(18): 1852 发表综述（2026-09-20 发表）：大田作物在不同生育阶段持续变化、呈现显著空间异质性、需在短作业窗口内进行管理。研究以生育阶段为主线组织文献，通过\"农业需求—可观测变量—感知平台—数据处理方法—验证设计—状态解释—管理或装备输出\"通用链条分析。从卫星遥感、无人机感知、地面与近端感知、田间物联网、机载传感器、多源融合、作物模型与机器学习方法按空间支撑、时间连续性、尺度匹配、田间稳健性、迁移条件、不确定性与操作适用性比较。综述报告作物表型反演、田间环境表征、生物胁迫识别在特定条件下已建立；跨阶段状态继承、一致参考测量、独立验证、监测结果向可执行任务转化仍不充分。提出生命周期导向的信息处理视角，未来应加强跨作物跨区域验证、机理性与数据驱动模型协同、不确定性报告、互操作性和田间反馈。","MDPI Agronomy","2026-09-20T00:00:00Z",76,{"impact":109,"substance":108,"depth":203,"authority":148,"freshness":204,"relevant":53,"comment":205},18,9,"江苏大学团队在核心期刊发表的综述，系统梳理大田作物全生育期感知与监测技术链条，专业深度与信息增量较高，但属学术综述、产业影响有限，适合进入主题聚合而非头条精选。",[207],{"name":199,"url":197},[209,210,211,21,212],"智慧农业","农业物联网","作物表型","大田作物",[214,215],"江苏大学 大田作物 智能监测","Agronomy 作物全生育期 信息感知","江苏大学大田作物智能监测-3122",{"doi":9,"openalex_id":9,"authors":218,"venue":9,"cited_by_count":15,"oa_url":9,"card":219,"direction":94,"ingested_from":224},[],{"tldr":220,"method":221,"finding":222,"direction":94,"opportunity":223},"综述大田作物全生育期信息感知与智能监测，按生育阶段梳理技术并指出转化不足。","以生育阶段为主线，比较卫星、无人机、地面物联网、模型与机器学习等方法。","表型反演与胁迫识别已有条件建立，但跨阶段继承、独立验证与可执行转化不足。","可研究跨生育阶段状态继承建模、一致参考测量与监测结果向田间作业指令的转化。","agent","2026-09-22T00:05:38.276747Z",{"id":227,"title":228,"url":229,"summary":230,"summary_zh":231,"content":9,"source_name":232,"source_url":229,"published_at":233,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":234,"score_detail":235,"sources":239,"tags":241,"search_phrases":246,"slug":249,"view_count":15,"doi":250,"paper":251,"created_at":278},3084,"Spatiotemporal evolution and drivers of eco-environmental quality for sustainable rural tourism in China’s Yangtze River Basin: an explainable AI approach","https:\u002F\u002Fdoi.org\u002F10.1080\u002F17538947.2026.2735566","Balancing tourism-driven growth (SDG 8.9) with terrestrial ecosystem conservation (SDG 15) is vital for sustainable watershed management. Focusing on 409 Key Rural Tourism Villages in China’s Yangtze River Basin, this study integrates Google Earth Engine and MODIS data to assess eco-environmental quality (EEQ) from 2000 to 2024 using the Remote Sensing Ecological Index (RSEI), employing an XGBoost-SHAP framework to decode driving mechanisms. Results indicate that these villages exhibit a clustered spatial distribution pattern, with three core agglomerations. The mean RSEI across all villages exceeds 0.73, indicating overall improvement and resilient recovery after 2020. However, a distinct north-south spatial disparity emerged: improved villages were predominantly concentrated north of the Yangtze River mainstem, whereas degraded villages clustered in the Taihu, Poyang, and Dongting Lake basins to the south. Elevation, land-use change, and temperature are the primary drivers, with a critical altitudinal threshold near 2,500 metres, where synergistic effects turn antagonistic. Although the XGBoost model achieved strong predictive performance (R2 = 0.853, RMSE = 0.071), 14.7% of the variance remains unexplained, suggesting the influence of additional unmeasured factors. These findings advance SDG 15 localisation by establishing spatial baselines and threshold-guided carrying-capacity regulations for watershed tourism governance.","在可持续流域管理中，平衡旅游驱动型增长（SDG 8.9）与陆地生态系统保护（SDG 15）至关重要。本研究以中国长江流域409个全国乡村旅游重点村为对象，集成Google Earth Engine与MODIS数据，基于遥感生态指数（RSEI）评估2000—2024年生态环境质量（EEQ），并采用XGBoost-SHAP框架解析其驱动机制。结果表明，这些村庄呈集聚型空间分布格局，形成三个核心集聚区。所有村庄的RSEI均值超过0.73，表明生态环境质量总体改善，并在2020年后呈现韧性恢复。然而，南北空间分异显著：改善型村庄主要集中于长江干流以北，而退化型村庄则聚集于以南的太湖、鄱阳湖和洞庭湖流域。海拔、土地利用变化和气温是主要驱动因子，在约2500 m处存在关键海拔阈值，超过该阈值后协同效应转为拮抗效应。尽管XGBoost模型具有较强预测性能（R² = 0.853，RMSE = 0.071），仍有14.7%的方差未能解释，提示其他未测因素的影响。本研究通过建立空间基线和阈值引导的承载力调控措施，推动了SDG 15的本土化，为流域旅游治理提供了依据。","International Journal of Digital Earth","2026-09-18T00:00:00Z",80,{"impact":203,"substance":236,"depth":203,"authority":237,"freshness":110,"relevant":53,"comment":238},22,14,"基于GEE与MODIS的乡村文旅生态质量长时序评估，方法新颖、数据规模大，对流域旅游承载力治理有参考价值。",[240],{"name":232,"url":229},[242,21,243,244,245],"长江流域","乡村文旅","生态遥感","可持续旅游",[247,248],"长江流域 乡村旅游 生态质量","RSEI 遥感生态指数 乡村","长江流域乡村旅游生态质量-3084","10.1080\u002F17538947.2026.2735566",{"doi":250,"openalex_id":252,"authors":253,"venue":232,"cited_by_count":15,"oa_url":271,"card":272,"direction":277,"ingested_from":49},"W7213546376",[254,256,259,261,263,265,268],{"name":255,"orcid":9},"Xiaojuan Zhang",{"name":257,"orcid":258},"Zhe Chen","https:\u002F\u002Forcid.org\u002F0000-0001-7579-1968",{"name":260,"orcid":9},"Libin Guo",{"name":262,"orcid":9},"Guoyan Wang",{"name":264,"orcid":9},"Yongxiu Zhou",{"name":266,"orcid":267},"Hui Li","https:\u002F\u002Forcid.org\u002F0000-0002-3565-1773",{"name":269,"orcid":270},"Zhongchang Sun","https:\u002F\u002Forcid.org\u002F0000-0003-3219-0542","https:\u002F\u002Fwww.tandfonline.com\u002Fdoi\u002Fpdf\u002F10.1080\u002F17538947.2026.2735566?needAccess=true",{"tldr":273,"method":274,"finding":275,"direction":46,"opportunity":276},"评估长江流域409个乡村旅游村2000-2024年生态环境质量演变并解析驱动机制。","GEE与MODIS数据、RSEI指数、XGBoost-SHAP可解释AI框架。","整体EEQ改善但南北分异明显，海拔、土地利用与温度为主导驱动，2500米为协同转拮抗阈值。","可探究未解释的14.7%方差来源，并针对太湖、鄱阳湖、洞庭湖退化区开展旅游承载力调控研究。","数字乡村与农业信息化","2026-09-21T23:30:36.842989Z",{"id":280,"title":281,"url":282,"summary":283,"summary_zh":284,"content":9,"source_name":285,"source_url":282,"published_at":233,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":286,"score_detail":287,"sources":289,"tags":291,"search_phrases":296,"slug":299,"view_count":15,"doi":300,"paper":301,"created_at":343},3083,"Multi-index analysis reveals complexity of tundra greening and shrubification on Yamal Peninsula","https:\u002F\u002Fdoi.org\u002F10.1088\u002F2752-664x\u002Faea99e","Abstract Arctic vegetation cover is undergoing rapid structural and spatial change under a warming climate. Shrubification is a major component of these changes, whereby shrubs grow outwards and upwards, infilling existing patches and spreading into new areas. Satellite-derived vegetation indices (VIs), such as the Normalized Difference Vegetation Index (NDVI), show increasing trends across decades in many regions of the Arctic, a phenomenon referred to as greening, and interpreted as an indicator of compositional, structural, spatial and functional changes in vegetation. However, the direct contribution of shrubification on satellite-level greening remains poorly understood, partly due to the spectral limitations of single-index methods and the coarse spatial resolution of multi-decadal satellite records. Here we examine and compare the spatial patterns and magnitude of greening on Yamal Peninsula, Arctic Russia, measured with four commonly used vegetation indices derived from Landsat imagery (1987-2023): NDVI, Enhanced Vegetation Index 2 (EVI2), Soil-Adjusted Vegetation Index (SAVI), and kernel NDVI (kNDVI). We also examine how willow (Salix lanata) cover (%) relates to greening, using cover data derived from field observations, and Unoccupied Aerial Vehicle (UAV) and Very High Resolution WorldView 3 satellite imagery. Vegetation greened in 12–25% of the study area, driven primarily by vegetation regeneration on cryogenic landslides and possibly due to shrub expansion. However, greening magnitude was dependent on the VI selected, as they showed only a maximum of 54% similarity in spatial distribution. Uncertainty in the relationship between spectral greening and shrubification adds complexity to interpreting drivers of vegetation change, including how herbivory, for example by reindeer (Rangifer tarandusi), inhibits shrub expansion and how abiotic and other biotic influences may be detected by different or some combination of VIs. We demonstrate that decadal vegetation greenness changes have not been homogenous on Yamal Peninsula, with contrasting Salix-dominated areas responding differently to shared changes in climate, likely due to herbivore dynamics, soil effects, as well as microclimatic or topographical differences in the area.","摘要 在气候变暖背景下，北极植被覆盖正经历快速的结构和空间变化。灌木化是这些变化的主要组成部分，表现为灌木向外和向上生长，填充现有斑块并向新区域扩散。基于卫星的植被指数（VIs），如归一化差异植被指数（NDVI），在北极许多地区显示出数十年间的增长趋势，这一现象被称为绿化，并被解释为植被组成、结构、空间和功能变化的指标。然而，灌木化对卫星尺度绿化的直接贡献仍知之甚少，部分原因在于单一指数方法的光谱局限性以及多年代际卫星记录的空间分辨率较粗。本研究利用1987—2023年Landsat影像衍生的四种常用植被指数——NDVI、增强植被指数2（EVI2）、土壤调节植被指数（SAVI）和核NDVI（kNDVI）——考察并比较了俄罗斯北极亚马尔半岛绿化的空间格局和幅度。我们还利用野外观测、无人驾驶飞行器（UAV）和甚高分辨率WorldView 3卫星影像获得的覆盖度数据，研究了柳树（Salix lanata）覆盖度（%）与绿化的关系。研究区12%—25%的区域出现植被绿化，主要由低温滑坡上的植被再生驱动，也可能源于灌木扩张。然而，绿化幅度取决于所选用的植被指数，因为它们在空间分布上的相似性最高仅为54%。光谱绿化与灌木化之间关系的不确定性增加了解释植被变化驱动因素的复杂性，包括植食作用（例如驯鹿Rangifer tarandus的啃食）如何抑制灌木扩张，以及非生物和其他生物影响如何通过不同植被指数或其组合被检测到。我们证明，亚马尔半岛数十年尺度的植被绿度变化并非均一，以柳树为主的对比区域对共同的气候变化响应不同，这可能归因于植食动物动态、土壤效应以及该地区微气候或地形的差异。","Environmental Research Ecology",69,{"impact":110,"substance":236,"depth":203,"authority":148,"freshness":110,"relevant":53,"comment":288},"多指数遥感揭示北极苔原绿化与灌木扩张复杂性，方法新颖数据扎实，但属基础生态研究，与三农信息化关联间接，公共价值有限。",[290],{"name":285,"url":282},[292,21,293,294,295],"气候变化","植被指数","北极苔原","灌木扩张",[297,298],"北极苔原 灌木扩张 遥感","北极苔原 植被指数 气候变化 灌木扩张","北极苔原灌木扩张遥感-3083","10.1088\u002F2752-664x\u002Faea99e",{"doi":300,"openalex_id":302,"authors":303,"venue":285,"cited_by_count":15,"oa_url":337,"card":338,"direction":94,"ingested_from":49},"W7213598351",[304,307,310,312,314,317,320,323,326,329,331,334],{"name":305,"orcid":306},"Elias Koivisto","https:\u002F\u002Forcid.org\u002F0009-0007-6204-0963",{"name":308,"orcid":309},"Anton Kuzmin","https:\u002F\u002Forcid.org\u002F0000-0001-5066-5535",{"name":311,"orcid":9},"Logan Berner",{"name":313,"orcid":9},"Jeff T Kerby",{"name":315,"orcid":316},"Mariana Verdonen","https:\u002F\u002Forcid.org\u002F0000-0001-9780-0052",{"name":318,"orcid":319},"Anna Skarin","https:\u002F\u002Forcid.org\u002F0000-0003-3221-1024",{"name":321,"orcid":322},"Tiina H. M. Kolari","https:\u002F\u002Forcid.org\u002F0000-0003-0955-2402",{"name":324,"orcid":325},"Teemu Tahvanainen","https:\u002F\u002Forcid.org\u002F0000-0002-7856-299X",{"name":327,"orcid":328},"Pasi Korpelainen","https:\u002F\u002Forcid.org\u002F0009-0005-9956-6016",{"name":330,"orcid":9},"Miguel Villosada",{"name":332,"orcid":333},"Bruce C. Forbes","https:\u002F\u002Forcid.org\u002F0000-0002-4593-5083",{"name":335,"orcid":336},"Timo Kumpula","https:\u002F\u002Forcid.org\u002F0000-0002-2716-7420","https:\u002F\u002Fiopscience.iop.org\u002Farticle\u002F10.1088\u002F2752-664X\u002Faea99e\u002Fpdf",{"tldr":339,"method":340,"finding":341,"direction":94,"opportunity":342},"用四种植被指数分析亚马尔半岛苔原绿化，揭示灌木扩张与光谱绿化的复杂关系。","Landsat 1987-2023年NDVI、EVI2、SAVI、kNDVI及无","绿化面积12-25%，但不同指数空间分布相似度仅54%，灌木扩张与绿化关系不确定。","多指数遥感可揭示植被变化的异质性，需结合地面与高分辨率数据解析生物与非生物驱动机制。","2026-09-21T23:30:27.685080Z"]