[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2677":3},{"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,"view_count":32,"doi":33,"paper":34,"created_at":49},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",0,"10.18343\u002Fjipi.31.4.679",{"doi":33,"openalex_id":35,"authors":36,"venue":10,"cited_by_count":32,"oa_url":41,"card":42,"direction":46,"ingested_from":48},"W7212772624",[37,39],{"name":38,"orcid":9},"Sadly Ashari Said",{"name":40,"orcid":9},"Haryanto Asri","https:\u002F\u002Fjournal.ipb.ac.id\u002FJIPI\u002Farticle\u002Fdownload\u002F70869\u002F34175",{"tldr":43,"method":44,"finding":45,"direction":46,"opportunity":47},"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"]