[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2677":3,"related-2677":88},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":9,"secondary_topics":32,"classification":33,"search_phrases":65,"slug":68,"view_count":69,"doi":70,"paper":71,"created_at":87},2677,"Spatial Analysis of Deforestation Prone Zones Resulting from the Expansion of Patchouli Plantations and the Exploitation of Fuelwood for Distillation","https:\u002F\u002Fdoi.org\u002F10.18343\u002Fjipi.31.4.679","Deforestation in the inland regions of West Sulawesi has been increasing alongside the expansion of patchouli plantations and the high dependence of the patchouli oil distillation industry on fuelwood. This study aims to analyze changes in vegetation cover, identify the spatial distribution and hotspots of deforestation, and delineate deforestation-prone zones associated with patchouli plantation and distillation activities in Mamasa Regency. The analysis employed a spatial approach based on Geographic Information Systems (GIS), utilizing the Normalized Difference Vegetation Index (NDVI) derived from Sentinel-2 imagery for 2018 and 2025, vegetation change analysis (ΔNDVI), and Kernel Density Estimation (KDE) to identify deforestation hotspots. The results indicate that dense vegetation cover has experienced a significant reduction and spatial fragmentation, particularly in areas with high accessibility. Deforestation is concentrated in the central and eastern parts of Mamasa Regency and shows a strong spatial association with patchouli plantation and distillation locations. The highest deforestation intensity occurred during the 2021–2022 period, coinciding with increased patchouli oil prices that stimulated large-scale land clearing. High to very high deforestation-prone zones are generally located around patchouli distillation sites and areas subjected to intensive land use pressure. Based on IFAS and EFAS analyses, deforestation mitigation strategies should focus on transitioning to renewable energy, agroforestry-based commodity diversification, strengthening forest governance, and rehabilitating degraded areas to support sustainable forest management. Keywords: deforestation, fuelwood, patchouli, SWOT analysis, West Sulawesi","西苏拉威西内陆地区的森林砍伐日益加剧，其背景是广藿香种植园的扩张以及广藿香油蒸馏产业对薪材的高度依赖。本研究旨在分析马马萨县植被覆盖的变化，识别森林砍伐的空间分布与热点区域，并划定与广藿香种植及蒸馏活动相关的森林砍伐易发区。分析采用基于地理信息系统（GIS）的空间方法，利用2018年和2025年Sentinel-2影像衍生的归一化植被指数（NDVI）、植被变化分析（ΔNDVI）以及核密度估计（KDE）来识别森林砍伐热点。结果表明，茂密植被覆盖经历了显著减少和空间破碎化，在可达性较高的区域尤为明显。森林砍伐集中于马马萨县中部和东部，并与广藿香种植园及蒸馏地点表现出强烈的空间关联。森林砍伐强度最高的时期为2021—2022年，恰逢广藿香油价格上涨刺激了大规模土地开垦。高至极高森林砍伐易发区通常位于广藿香蒸馏点周围及承受密集土地利用压力的区域。基于IFAS和EFAS分析，森林砍伐减缓策略应侧重于向可再生能源转型、基于农林业的商品多样化、加强森林治理以及恢复退化区域，以支持可持续森林管理。关键词：森林砍伐，薪材，广藿香，SWOT分析，西苏拉威西",null,"Jurnal Ilmu Pertanian Indonesia","2026-09-14T00:00:00Z","论文",10,false,76,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},16,21,17,13,9,1,"基于Sentinel-2与NDVI的毁林热点空间分析，方法扎实、数据新，对热带经济作物扩张与薪柴依赖的生态治理有参考价值。",[25],{"name":10,"url":6},[27,28,29,30,31],"可持续农业","遥感监测","生物质能源","毁林治理","广藿香",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":37},"needs_review","2026-10-22.2","rules",{"candidates":38,"agricultural_evidence":14,"reason":64},[39,49,54,59],{"code":40,"score":19,"supported":41,"title":42,"abstract":44,"tags":48},"I4",true,[43],"spatial analysis",[45,46,47],"地理信息","GIS","geographic information",[],{"code":50,"score":22,"supported":14,"title":51,"abstract":52,"tags":53},"H6",[],[],[30],{"code":55,"score":22,"supported":14,"title":56,"abstract":57,"tags":58},"H8",[],[],[27],{"code":60,"score":22,"supported":14,"title":61,"abstract":62,"tags":63},"I3",[],[],[28],"农业相关性需要复核",[66,67],"可持续农业 生物质能源 毁林治理 遥感监测","可持续农业 生物质能源","可持续农业生物质能源毁林治理遥感监测-2677",2,"10.18343\u002Fjipi.31.4.679",{"doi":70,"openalex_id":72,"authors":73,"venue":10,"cited_by_count":78,"oa_url":79,"card":80,"direction":84,"ingested_from":86},"W7212772624",[74,76],{"name":75,"orcid":9},"Sadly Ashari Said",{"name":77,"orcid":9},"Haryanto Asri",0,"https:\u002F\u002Fjournal.ipb.ac.id\u002FJIPI\u002Farticle\u002Fdownload\u002F70869\u002F34175",{"tldr":81,"method":82,"finding":83,"direction":84,"opportunity":85},"基于GIS分析西苏拉威西广藿香种植与蒸馏燃料需求导致的森林砍伐易发区。","Sentinel-2 NDVI与ΔNDVI、核密度估计及IFAS\u002FEFAS分析。","2018-2025年密植被显著减少，砍伐热点集中于中东部，2021-2022年因广藿香油涨价加剧。","农业遥感与作物表型","可结合时序遥感与价格数据，构建经济驱动型毁林预警模型，拓展农业遥感在政策评估中的应用。","openalex","2026-09-16T23:30:32.215138Z",{"total":89,"page":22,"page_size":89,"items":90},6,[91,203,279,343,409,478],{"id":92,"title":93,"url":94,"summary":95,"summary_zh":96,"content":9,"source_name":97,"source_url":94,"published_at":98,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":99,"score_detail":100,"sources":104,"tags":106,"primary_topic":110,"secondary_topics":116,"classification":117,"search_phrases":185,"slug":188,"view_count":78,"doi":189,"paper":190,"created_at":202},4359,"A longitudinal analysis of diet quality, groundwater depletion and glacier thicknesses with implications for the sustainable development goal 2","https:\u002F\u002Fdoi.org\u002F10.1088\u002F2976-601x\u002Faea4b9","Abstract The United Nations Sustainable Development Goal 2 (SDG) underscores the need for eliminating hunger, improving nutrition, and promoting sustainable agriculture. For achieving SDG2, it is critical to address several factors such as agricultural production, groundwater depletion, and glacier decline under climate change. Using longitudinal district-level data from India from 2000–2016, a framework is developed for analyzing the data on agricultural outputs, well-depths (distance from ground to water tables), and in situ and remote sensing data on glacier thicknesses for the sustainability of food systems. First, the analysis of data on the production of rice, wheat, maize, sorghum, and pearl millet for 310 districts in India showed that greater rice output was significantly associated with higher well depths. Second, milk production was positively associated with well depths, indicating that improving diet quality entails higher water utilization. Third, an analysis of remote sensing data on changes in glacier heights for 0.5° × 0.5° grids in the Northern Hemisphere indicated large and significant declines over time; glacier thickness reductions were generally small using in situ data. Overall, the empirical results will facilitate the formulation of evidence-based policies for tackling ‘zero hunger’ and diet quality goals, cultivating water-efficient crops, recharging groundwater, and monitoring the dynamics of glaciers for long-term sustainability.","摘要 联合国可持续发展目标2（SDG2）强调消除饥饿、改善营养和促进可持续农业的必要性。为实现SDG2，必须应对气候变化下的农业生产、地下水枯竭和冰川退缩等若干关键因素。本研究利用印度2000—2016年地区级纵向数据，构建了一个分析框架，用于整合农业产出数据、井深（地面至地下水位之间的距离）数据以及冰川厚度的实地观测与遥感数据，以评估粮食系统的可持续性。首先，对印度310个地区水稻、小麦、玉米、高粱和珍珠粟产量数据的分析表明，水稻产量越高与井深越大显著相关。其次，牛奶产量与井深呈正相关，表明改善膳食质量伴随着更高的水资源利用。第三，对北半球0.5°×0.5°网格冰川高度变化的遥感数据分析表明，冰川高度随时间推移出现大幅且显著的下降；而基于实地数据的冰川厚度减少幅度总体较小。总体而言，这些实证结果将有助于制定循证政策，以应对“零饥饿”和膳食质量目标、培育节水作物、回补地下水以及监测冰川动态，从而实现长期可持续发展。","Environmental Research Food Systems","2026-10-06T00:00:00Z",80,{"impact":101,"substance":102,"depth":101,"authority":20,"freshness":21,"relevant":22,"comment":103},18,22,"基于印度310个区2000—2016年面板数据，将膳食质量、地下水枯竭与冰川消融纳入SDG2分析框架，数据规模与方法均有新意，对农业可持续性政策有参考价值。",[105],{"name":97,"url":94},[107,27,28,108,109],"粮食安全","地下水超采","膳食营养",{"code":111,"slug":112,"name":113,"path":114,"parent_code":115},"A5","tubers-grains","薯类与杂粮","\u002Ftopic\u002Ffield-crops\u002Ftubers-grains","A",[],{"status":118,"locked":14,"version":35,"method":36,"evidence":119},"classified",{"candidates":120,"agricultural_evidence":41},[121,128,134,140,147,154,161,168,175,180],{"code":111,"score":21,"supported":41,"title":122,"abstract":123,"tags":127},[],[124,125,126],"高粱","sorghum","millet",[],{"code":55,"score":129,"supported":41,"title":130,"abstract":131,"tags":133},7,[],[27,132],"sustainable agriculture",[27],{"code":60,"score":129,"supported":41,"title":135,"abstract":136,"tags":139},[],[137,138],"遥感","remote sensing",[28],{"code":141,"score":89,"supported":41,"title":142,"abstract":143,"tags":146},"A1",[],[144,145],"水稻","rice",[],{"code":148,"score":89,"supported":41,"title":149,"abstract":150,"tags":153},"A2",[],[151,152],"小麦","wheat",[],{"code":155,"score":89,"supported":41,"title":156,"abstract":157,"tags":160},"A3",[],[158,159],"玉米","maize",[],{"code":162,"score":89,"supported":41,"title":163,"abstract":164,"tags":167},"H7",[],[165,166],"气候变化","climate change",[],{"code":169,"score":170,"supported":41,"title":171,"abstract":172,"tags":174},"H3",3,[],[173],"水资源",[],{"code":176,"score":22,"supported":14,"title":177,"abstract":178,"tags":179},"A8",[],[],[107],{"code":181,"score":22,"supported":14,"title":182,"abstract":183,"tags":184},"E2",[],[],[109],[186,187],"印度 水稻 地下水 井深","冰川厚度 遥感 粮食安全","印度水稻地下水井深-4359","10.1088\u002F2976-601x\u002Faea4b9",{"doi":189,"openalex_id":191,"authors":192,"venue":97,"cited_by_count":78,"oa_url":94,"card":196,"direction":84,"ingested_from":86},"W7220726463",[193],{"name":194,"orcid":195},"Alok Bhargava","https:\u002F\u002Forcid.org\u002F0000-0002-0399-0949",{"tldr":197,"method":198,"finding":199,"direction":200,"opportunity":201},"基于印度2000–2016年区级数据，分析饮食质量、地下水消耗与冰川消融对SDG2可持续性的影响。","印度310区作物产量、井深纵向数据及遥感冰川厚度数据，构建分析框架。","水稻产量越高井越深，奶产量与井深正相关，北半球冰川厚度显著下降。","农业绿色发展与碳","可结合多源遥感与农户调查，量化饮食结构变化对地下水与冰川的跨尺度反馈机制。","2026-10-07T23:30:26.146010Z",{"id":204,"title":205,"url":206,"summary":207,"summary_zh":208,"content":9,"source_name":209,"source_url":206,"published_at":210,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":211,"score_detail":212,"sources":216,"tags":218,"primary_topic":221,"secondary_topics":226,"classification":227,"search_phrases":255,"slug":258,"view_count":22,"doi":259,"paper":260,"created_at":278},4312,"Identification of Cultivable Wastelands in Meghalaya, India using Geospatial Technology for Agricultural Reclamation","https:\u002F\u002Fdoi.org\u002F10.9734\u002Fjgeesi\u002F2026\u002Fv30i101131","Cultivable wastelands suitable for cultivation are a significant land resource that can be utilised to improve agricultural productivity and sustainable land management. The present study aimed to estimate the cultivable wastelands of Meghalaya using Remote Sensing and Geographic Information System (GIS) techniques and to assess the possibilities for reclaiming wastelands for agriculture. Multispectral satellite data from the LISS-IV sensor for the period 2025-2026 were processed to create a False Colour Composite (FCC), and Land Use\u002FLand Cover (LULC) classification was performed using visual image interpretation to distinguish the major cultivable wasteland categories: Dense Scrub Land, Sparse Scrub Land, Grasslands\u002FGrazing Lands, and Shifting Cultivation Area. About 340,673.36 ha, representing almost 15.2% of the total geographical area of Meghalaya, were identified as cultivable wastelands. Among the identified categories, Sparse Scrub Land occupied the largest area (206,595.18 ha), followed by Dense Scrub Land (99,488.89 ha), Shifting Cultivation Area (34,331.34 ha), and Grasslands\u002FGrazing Lands (257.94 ha). The distribution of these wastelands suggests considerable potential for reclamation through appropriate land restoration and sustainable management practices. The spatial database and thematic maps generated provide baseline information for land-use planning, resource management, and policy formulation aimed at enhancing agricultural productivity and the sustainable utilisation of wastelands in Meghalaya.","适宜耕作的 cultivable wasteland（可耕荒地）是一项重要的土地资源，可用于提高农业生产力和可持续土地管理。本研究旨在利用遥感（Remote Sensing）和地理信息系统（Geographic Information System, GIS）技术估算梅加拉亚邦的可耕荒地，并评估将荒地开垦用于农业的可能性。对2025—2026年LISS-IV传感器多光谱卫星数据进行处理，生成假彩色合成影像（False Colour Composite, FCC），并通过目视图像解译进行土地利用\u002F土地覆盖（Land Use\u002FLand Cover, LULC）分类，以区分主要可耕荒地类别：密灌丛地、疏灌丛地、草地\u002F放牧地以及轮垦区。约340,673.36公顷土地被识别为可耕荒地，占梅加拉亚邦总地理面积的近15.2%。在已识别类别中，疏灌丛地面积最大（206,595.18公顷），其次为密灌丛地（99,488.89公顷）、轮垦区（34,331.34公顷）和草地\u002F放牧地（257.94公顷）。这些荒地的分布表明，通过适当的土地恢复和可持续管理措施，具有相当大的开垦潜力。所生成的空间数据库和专题图件为土地利用规划、资源管理和政策制定提供了基础信息，旨在提高梅加拉亚邦的农业生产力和实现荒地的可持续利用。","Journal of Geography Environment and Earth Science International","2026-10-05T00:00:00Z",69,{"impact":213,"substance":214,"depth":17,"authority":213,"freshness":21,"relevant":22,"comment":215},12,20,"基于LISS-IV遥感与GIS的印度梅加拉亚邦可耕荒地清查，数据翔实、方法规范，对农业土地复垦与空间规划有参考价值，但属区域案例，公共影响有限。",[217],{"name":209,"url":206},[27,219,28,46,220],"耕地保护","土地整治",{"code":222,"slug":223,"name":224,"path":225,"parent_code":9},"I","digital-agriculture","数字农业与前沿技术","\u002Ftopic\u002Fdigital-agriculture",[],{"status":228,"locked":14,"version":35,"method":36,"evidence":229},"partial",{"candidates":230,"agricultural_evidence":41,"reason":254},[231,236,240,245,250],{"code":60,"score":13,"supported":41,"title":232,"abstract":233,"tags":235},[],[137,138,234],"multispectral",[28],{"code":40,"score":13,"supported":41,"title":237,"abstract":238,"tags":239},[],[45,46,47],[46],{"code":241,"score":69,"supported":14,"title":242,"abstract":243,"tags":244},"H1",[],[],[220,219],{"code":246,"score":22,"supported":14,"title":247,"abstract":248,"tags":249},"G2",[],[],[220],{"code":55,"score":22,"supported":14,"title":251,"abstract":252,"tags":253},[],[],[27],"一级领域明确，二级方向需要细分",[256,257],"Meghalaya 可耕荒地 遥感","LISS-IV 土地利用 分类","Meghalaya可耕荒地遥感-4312","10.9734\u002Fjgeesi\u002F2026\u002Fv30i101131",{"doi":259,"openalex_id":261,"authors":262,"venue":209,"cited_by_count":78,"oa_url":206,"card":273,"direction":84,"ingested_from":86},"W7220436664",[263,265,268,270],{"name":264,"orcid":9},"Ronak Meena",{"name":266,"orcid":267},"Chandan Goswami","https:\u002F\u002Forcid.org\u002F0000-0002-9487-5080",{"name":269,"orcid":9},"C. P. Suresh",{"name":271,"orcid":272},"Akmaul Hoque","https:\u002F\u002Forcid.org\u002F0009-0002-4475-566X",{"tldr":274,"method":275,"finding":276,"direction":84,"opportunity":277},"利用遥感与GIS识别印度梅加拉亚邦可耕荒地并评估其农业复垦潜力。","LISS-IV多光谱影像、假彩色合成与目视解译的土地利用分类。","识别出约34万公顷可耕荒地，占全邦15.2%，以稀疏灌木地为主。","可结合机器学习自动分类与土壤、气候数据，构建荒地复垦适宜性评价模型。","2026-10-06T23:30:20.340575Z",{"id":280,"title":281,"url":282,"summary":283,"summary_zh":284,"content":9,"source_name":285,"source_url":282,"published_at":286,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":287,"score_detail":288,"sources":291,"tags":293,"primary_topic":297,"secondary_topics":301,"classification":302,"search_phrases":322,"slug":325,"view_count":326,"doi":327,"paper":328,"created_at":342},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":289,"substance":214,"depth":17,"authority":20,"freshness":289,"relevant":22,"comment":290},8,"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。",[292],{"name":285,"url":282},[294,295,27,28,296],"数字乡村","农业遥感","土地利用变化",{"code":60,"slug":298,"name":299,"path":300,"parent_code":222},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",[],{"status":118,"locked":14,"version":35,"method":36,"evidence":303},{"candidates":304,"agricultural_evidence":41},[305,309,313,317],{"code":60,"score":13,"supported":41,"title":306,"abstract":307,"tags":308},[138],[],[295,28],{"code":50,"score":22,"supported":14,"title":310,"abstract":311,"tags":312},[],[],[296],{"code":55,"score":22,"supported":14,"title":314,"abstract":315,"tags":316},[],[],[27],{"code":318,"score":22,"supported":14,"title":319,"abstract":320,"tags":321},"I6",[],[],[294],[323,324],"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",4,"10.1080\u002F0035919x.2026.2731206",{"doi":327,"openalex_id":329,"authors":330,"venue":285,"cited_by_count":78,"oa_url":282,"card":337,"direction":84,"ingested_from":86},"W7214955668",[331,334],{"name":332,"orcid":333},"Reniko Gondo","https:\u002F\u002Forcid.org\u002F0000-0002-0957-0179",{"name":335,"orcid":336},"Oluwatoyin Dare Kolawole","https:\u002F\u002Forcid.org\u002F0000-0002-3977-8747",{"tldr":338,"method":339,"finding":340,"direction":84,"opportunity":341},"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":344,"title":345,"url":346,"summary":347,"summary_zh":348,"content":9,"source_name":349,"source_url":346,"published_at":350,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":351,"score_detail":352,"sources":354,"tags":356,"primary_topic":9,"secondary_topics":359,"classification":360,"search_phrases":383,"slug":386,"view_count":387,"doi":388,"paper":389,"created_at":408},3182,"Linking socioeconomic drivers to land use and land cover change for sustainable landscape governance a systematic review","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs42452-026-09445-9","Land use and land cover (LULC) change is one of the most environmental issues that impact the ecosystems, biodiversity and sustainable resource management in the world. The pressures have increased on land systems especially in the developing countries because of the rapid socioeconomic development, increase in population and demand of food and natural resources. Despite the large number of literature examining the drivers and effects of LULC change, the contributions of socio-economic drivers and local governance projects to sustainable landscape management is still disjointed in the current literature. This paper seeks to summarize existing literature regarding the socio-economic factors determining LULC change and assess the role of local projects and governance systems that can contribute to the attainment of sustainable landscape results. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework was followed in the implementation of a systematic review approach. In the search, peer-reviewed literature on sustainable land management, socioeconomic causes, and land use change was identified using predefined combinations of keywords, which included land use change, socioeconomic reasons, and sustainable land management in major academic databases, including Scopus. Having implemented the inclusion and exclusion criteria, 43 research articles were selected to be analyzed in detail. The information in the sampled studies was analyzed to determine significant socio-economic forces, governance processes, methodology, and sustainability results of LULC change. The findings indicate that agricultural development, population increase, market demand, and urbanization have been one of the most common reported socio-economic forces affecting land transformation. It is also found that local governance structure, community involvement and decentralized resource management initiatives are significant to enhance sustainable landscape management and reduce environmental degradation. In addition, the technology has increased the ability to control and study the land use dynamics through remote sensing and spatial modeling. All in all, this review shows the relevance of considering socio-economic aspects alongside governance models in order to tackle the issues of LULC change. The study provides important policy insights for sustainable land management and identifies future research priorities for developing integrated approaches to landscape governance and environmental sustainability.","土地利用与土地覆盖（LULC）变化是影响全球生态系统、生物多样性和可持续资源管理的最重要环境问题之一。由于社会经济快速发展、人口增长以及对粮食和自然资源需求的增加，土地系统面临的压力不断加大，尤其是在发展中国家。尽管已有大量文献考察了LULC变化的驱动因素和影响，但当前文献中关于社会经济驱动因素和地方治理项目对可持续景观管理贡献的研究仍较为分散。本文旨在总结现有文献中关于决定LULC变化的社会经济因素，并评估地方项目和治理体系在促进实现可持续景观成果方面的作用。本研究采用系统综述方法，并遵循PRISMA（系统综述和荟萃分析首选报告条目）框架。在检索过程中，通过预定义的关键词组合，在Scopus等主要学术数据库中识别了关于可持续土地管理、社会经济成因和土地利用变化的同行评审文献，关键词包括土地利用变化、社会经济原因和可持续土地管理。在实施纳入和排除标准后，共选取43篇研究论文进行详细分析。对样本研究中的信息进行分析，以确定影响LULC变化的重要社会经济力量、治理过程、方法学和可持续性结果。研究结果表明，农业发展、人口增长、市场需求和城市化是影响土地转型的最常见社会经济力量。研究还发现，地方治理结构、社区参与和分散化资源管理举措对于加强可持续景观管理和减少环境退化具有重要意义。此外，技术通过遥感和空间建模提高了控制和研究土地利用动态的能力。总而言之，本综述表明，在应对LULC变化问题时，将社会经济因素与治理模式一并考虑具有重要相关性。该研究为可持续土地管理提供了重要的政策启示，并指出了未来研究优先方向，以开发综合方法来推进景观","Discover Applied Sciences","2026-09-20T00:00:00Z",62,{"impact":289,"substance":101,"depth":17,"authority":213,"freshness":289,"relevant":22,"comment":353},"系统综述梳理社会经济驱动与地方治理对土地利用变化的影响，方法规范但结论偏综述性，对农业信息化与乡村治理有参考价值。",[355],{"name":349,"url":346},[357,27,28,296,358],"乡村振兴","景观治理",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":361},{"candidates":362,"agricultural_evidence":41,"reason":382},[363,369,373,378],{"code":50,"score":129,"supported":41,"title":364,"abstract":365,"tags":368},[],[366,367],"生物多样性","biodiversity",[296],{"code":60,"score":129,"supported":41,"title":370,"abstract":371,"tags":372},[],[137,138],[28],{"code":374,"score":22,"supported":14,"title":375,"abstract":376,"tags":377},"G",[],[],[357],{"code":55,"score":22,"supported":14,"title":379,"abstract":380,"tags":381},[],[],[27],"多个产业证据相当，需要确认主归属",[384,385],"LULC 社会经济驱动 系统综述","土地利用变化 景观治理 PRISMA","LULC社会经济驱动系统综述-3182",5,"10.1007\u002Fs42452-026-09445-9",{"doi":388,"openalex_id":390,"authors":391,"venue":349,"cited_by_count":78,"oa_url":346,"card":402,"direction":84,"ingested_from":86},"W7213761184",[392,394,397,399],{"name":393,"orcid":9},"Manoj Yadav",{"name":395,"orcid":396},"Vipasha Sharma","https:\u002F\u002Forcid.org\u002F0000-0002-7450-8443",{"name":398,"orcid":9},"Somendra Kumar",{"name":400,"orcid":401},"Arti Choudhary","https:\u002F\u002Forcid.org\u002F0000-0002-1330-4658",{"tldr":403,"method":404,"finding":405,"direction":406,"opportunity":407},"系统综述43篇文献，梳理社会经济驱动因素与地方治理对土地利用变化的影响。","采用PRISMA框架，在Scopus等数据库检索并筛选43篇文献进行系统分析。","农业开发、人口增长、市场需求和城市化是主要驱动力；地方治理与社区参与对可持续景观管理至关重要。","数字乡村与农业信息化","可结合遥感与空间建模，量化社会经济与治理因素对土地利用变化的交互作用，支撑乡村景观治理决策。","2026-09-22T23:30:25.164574Z",{"id":410,"title":411,"url":412,"summary":413,"summary_zh":414,"content":9,"source_name":415,"source_url":412,"published_at":416,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":417,"score_detail":418,"sources":421,"tags":423,"primary_topic":426,"secondary_topics":431,"classification":432,"search_phrases":461,"slug":464,"view_count":78,"doi":465,"paper":466,"created_at":477},3162,"A Systematic Review of Deforestation Challenges in Kebbi State, Nigeria, and their Implications for the Sustainable Development Goals","https:\u002F\u002Fdoi.org\u002F10.56201\u002Fijaes.vol.11.no12.2025.pg134.138","Deforestation presents a critical environmental and socio-economic threat across sub-Saharan Africa, particularly in semi-arid regions such as Kebbi State, Nigeria. This systematic review evaluates the drivers, extent, ecological impacts, and development implications of deforestation in Kebbi State, while emphasizing its obstruction to achieving the Sustainable Development Goals (SDGs). Guided by PRISMA protocols, 112 documents were identified across scientific databases and governmental repositories, of which 47 met the inclusion criteria. The review shows that deforestation in Kebbi State is primarily driven by agricultural expansion, fuelwood harvesting, charcoal production, overgrazing, infrastructural development, climate variability, and weak environmental governance. Consequences include biodiversity loss, soil degradation, desertification, climate change acceleration, watershed disturbances, livelihood vulnerability, and increased rural poverty. These impacts negatively affect the realization of SDGs 1, 2, 3, 6, 7, 13, and 15. The review also highlights institutional weaknesses, limited adoption of alternative energy sources, low public environmental awareness, and poor enforcement of forestry regulations as key systemic contributors. The paper concludes with evidence-based recommendations, including community-based forest management, climate-smart agriculture, renewable-energy adoption, policy reforms, and strengthened monitoring frameworks. This review provides an integrated understanding of deforestation and development interlinkages, offering insights for policymakers, researchers, development agencies, and environmental managers in Northern Nigeria.","森林砍伐在撒哈拉以南非洲地区构成了严峻的环境和社会经济威胁，尤其是在尼日利亚凯比州等半干旱地区。本系统综述评估了尼日利亚凯比州森林砍伐的驱动因素、程度、生态影响及发展意涵，同时强调其对实现可持续发展目标（SDGs）的阻碍作用。在PRISMA方案指导下，本研究从科学数据库和政府机构库中识别出112篇文献，其中47篇符合纳入标准。综述表明，凯比州的森林砍伐主要由农业扩张、薪柴采集、木炭生产、过度放牧、基础设施建设、气候变率以及环境治理薄弱等因素驱动。其后果包括生物多样性丧失、土壤退化、荒漠化、气候变化加速、流域扰动、生计脆弱性以及农村贫困加剧。这些影响对实现可持续发展目标1、2、3、6、7、13和15产生了负面影响。综述还指出，制度薄弱、替代能源采用有限、公众环境意识低下以及林业法规执行不力是关键的系统性成因。本文最后提出了基于证据的建议，包括社区参与式森林管理、气候智慧型农业、可再生能源采用、政策改革以及加强监测框架。本综述提供了对森林砍伐与发展之间相互关联的综合理解，为尼日利亚北部的政策制定者、研究人员、发展机构和环境管理者提供了参考见解。","INTERNATIONAL JOURNAL OF AGRICULTURE AND EARTH SCIENCE","2026-09-21T00:00:00Z",63,{"impact":289,"substance":101,"depth":419,"authority":20,"freshness":21,"relevant":22,"comment":420},15,"系统综述方法规范、结论可靠，但聚焦尼日利亚地方性议题，对国内三农与农业信息化参考价值有限，不宜进入每日精选。",[422],{"name":415,"url":412},[27,165,424,30,425],"农村能源","尼日利亚农业",{"code":162,"slug":427,"name":428,"path":429,"parent_code":430},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":118,"locked":14,"version":35,"method":36,"evidence":433},{"candidates":434,"agricultural_evidence":41},[435,440,444,451,457],{"code":162,"score":13,"supported":41,"title":436,"abstract":437,"tags":439},[],[165,438,166],"干旱",[165],{"code":50,"score":129,"supported":41,"title":441,"abstract":442,"tags":443},[],[366,367],[30],{"code":445,"score":89,"supported":41,"title":446,"abstract":447,"tags":450},"H2",[],[448,449],"土壤","soil",[],{"code":452,"score":170,"supported":41,"title":453,"abstract":454,"tags":456},"I1",[],[455],"smart agriculture",[],{"code":55,"score":22,"supported":14,"title":458,"abstract":459,"tags":460},[],[],[27],[462,463],"尼日利亚农业 可持续农业 农村能源 毁林治理","尼日利亚农业 可持续农业","尼日利亚农业可持续农业农村能源毁林治理-3162","10.56201\u002Fijaes.vol.11.no12.2025.pg134.138",{"doi":465,"openalex_id":467,"authors":468,"venue":415,"cited_by_count":78,"oa_url":9,"card":471,"direction":476,"ingested_from":86},"W7213950950",[469],{"name":470,"orcid":9},"F.U. Zogirma",{"tldr":472,"method":473,"finding":474,"direction":200,"opportunity":475},"系统综述尼日利亚凯比州森林砍伐的驱动因素、影响及其对可持续发展目标的阻碍。","遵循PRISMA协议，从112篇文献中筛选47篇进行系统综述。","砍伐主因是农业扩张、薪柴采集等，导致生态退化并阻碍多个SDGs实现。","可结合遥感监测与社区调查，量化森林砍伐对碳储量及SDGs的时空影响。","智慧农业 \u002F 农业物联网","2026-09-22T23:30:11.283465Z",{"id":479,"title":480,"url":481,"summary":482,"summary_zh":483,"content":9,"source_name":484,"source_url":481,"published_at":485,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":486,"score_detail":487,"sources":489,"tags":491,"primary_topic":495,"secondary_topics":496,"classification":497,"search_phrases":512,"slug":515,"view_count":22,"doi":516,"paper":517,"created_at":539},2785,"Remote Sensing-Based Assessment of Interannual Change of the Ecological Sustainability of Agricultural Landscapes in Northern Benin","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu18189542","Assessing ecological sustainability in agricultural landscapes requires approaches that integrate land-cover change, its ecological effects, and their spatial determinants. This study analysed changes between 2023 and 2024 across six agricultural landscapes in northern Benin using the Landscape Ecological Sustainability Index (LESI), calculated for 1 km2 landscape cells from Human Disturbance Coefficients (HDCs) assigned to satellite-derived land-cover classes. Interannual changes were assessed using ΔLESI, the Wilcoxon signed-rank test, Global Moran’s I, and the Local Indicators of Spatial Association (LISA). The contribution of land-cover transitions to HDC change was quantified and a Monte Carlo sensitivity analysis based on classification accuracy was additionally used to assess the robustness of the observed interannual changes to classification uncertainty, and complementary univariate and bivariate regression models examined the relationships between LESI variations and 11 biophysical and geographical variables, including their pairwise interactions. The interannual comparison between 2023 and 2024 showed a decrease in ecological sustainability in four sites, a slight increase in one, and relative stability in another. Significant spatial autocorrelation was detected in all sites (Moran’s I = 0.44–0.65; p \u003C 0.001). Some spatially limited transitions exerted important effects on HDC change. Sensitivity analysis confirmed that the direction of ΔHDC was robust to classification uncertainty in five of the six landscapes. The low explanatory power of the univariate models (R2 ≤ 0.081) indicates that no single variable independently explains the observed changes. The bivariate interaction analyses further showed that some associations were context-dependent, although their explanatory power remained limited, with the best-performing model accounting for only 10.9% of the variation in ΔLESI. This integrated framework provides a reproducible approach for assessing, mapping, and prioritising interannual change of ecological sustainability from remote sensing data to support evidence-based agricultural landscape planning and sustainable land management.","评估农业景观的生态可持续性，需要整合土地覆盖变化、其生态效应及其空间决定因素的方法。本研究利用景观生态可持续性指数（Landscape Ecological Sustainability Index, LESI），分析了贝宁北部六个农业景观在2023年至2024年间的变化。该指数基于分配给卫星衍生土地覆盖类别的人类干扰系数（Human Disturbance Coefficients, HDCs），以1 km²景观单元为尺度进行计算。年际变化通过ΔLESI、Wilcoxon符号秩检验、全局Moran's I和局部空间关联指标（Local Indicators of Spatial Association, LISA）进行评估。研究量化了土地覆盖转变对HDC变化的贡献，并额外采用基于分类精度的蒙特卡洛敏感性分析，以评估观测到的年际变化对分类不确定性的稳健性；同时，通过互补的单变量和双变量回归模型，检验了LESI变化与11个生物物理和地理变量之间的关系，包括其两两交互作用。2023年至2024年的年际比较显示，四个样点的生态可持续性下降，一个样点略有上升，另一个样点则相对稳定。所有样点均检测到显著的空间自相关（Moran's I = 0.44–0.65；p \u003C 0.001）。一些空间范围有限的转变对HDC变化产生了重要影响。敏感性分析证实，在六个景观中的五个，ΔHDC的方向对分类不确定性具有稳健性。单变量模型的解释力较低（R² ≤ 0.081），表明没有单一变量能独立解释观测到的变化。双变量交互分析进一步表明，一些关联具有情境依赖性，尽管其解释力仍然有限，表现最佳的模型仅解释了ΔLESI变异的10.9%。这一整合框架提供了一种可重复的方法，用于从遥感数据评估、制图和优先排序生态可持续性的年际变化，以支持基于证据的农业景观规划和可持续土地管理。","Sustainability","2026-09-17T00:00:00Z",67,{"impact":289,"substance":214,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":488},"方法体系完整、结论稳健的遥感评估研究，但聚焦西非贝宁地方尺度，对国内三农实践的直接参考价值有限。",[490],{"name":484,"url":481},[27,492,28,493,494],"农业生态","土地利用","贝宁",{"code":60,"slug":298,"name":299,"path":300,"parent_code":222},[],{"status":118,"locked":14,"version":35,"method":36,"evidence":498},{"candidates":499,"agricultural_evidence":41},[500,504,508],{"code":60,"score":419,"supported":41,"title":501,"abstract":502,"tags":503},[138],[137,138],[28],{"code":50,"score":69,"supported":14,"title":505,"abstract":506,"tags":507},[],[],[492,493],{"code":55,"score":22,"supported":14,"title":509,"abstract":510,"tags":511},[],[],[27],[513,514],"可持续农业 农业生态 土地利用 遥感监测","可持续农业 农业生态","可持续农业农业生态土地利用遥感监测-2785","10.3390\u002Fsu18189542",{"doi":516,"openalex_id":518,"authors":519,"venue":484,"cited_by_count":78,"oa_url":481,"card":534,"direction":84,"ingested_from":86},"W7213443483",[520,523,526,528,531],{"name":521,"orcid":522},"Mikhaïl Jean De Dieu Dotou Padonou","https:\u002F\u002Forcid.org\u002F0009-0006-8295-4984",{"name":524,"orcid":525},"Antoine Denis","https:\u002F\u002Forcid.org\u002F0000-0002-3245-7131",{"name":527,"orcid":9},"Yvon-Carmen Hountondji",{"name":529,"orcid":530},"Bernard Tychon","https:\u002F\u002Forcid.org\u002F0000-0002-9367-7306",{"name":532,"orcid":533},"Gérard Nounagnon Gouwakinnou","https:\u002F\u002Forcid.org\u002F0000-0002-3595-9831",{"tldr":535,"method":536,"finding":537,"direction":84,"opportunity":538},"基于遥感与景观生态可持续性指数评估贝宁北部农业景观2023-2024年际生态可持续性变化。","用LISI指数、ΔLESI、空间自相关、蒙特卡洛敏感性分析及回归模型分析土地覆盖","四个景观生态可持续性下降，空间自相关显著，但单变量与双变量模型解释力均很低。","可引入时序遥感与机器学习，探究多尺度驱动因子交互对农业景观可持续性年际变化的非线性影响。","2026-09-17T23:30:34.344705Z"]