[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4362":3,"related-4362":78},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":18,"tags":20,"primary_topic":9,"secondary_topics":21,"classification":22,"search_phrases":45,"slug":46,"view_count":15,"doi":47,"paper":48,"created_at":77},4362,"Energy development is a key driver of land cover dynamics in the Permian Basin, United States","https:\u002F\u002Fdoi.org\u002F10.1088\u002F2753-3751\u002Faeb02d","Abstract The Permian Basin, which accounts for nearly half of U.S. oil production, has experienced substantial energy development activity over the past two decades. However, the extent of land cover dynamics driven by this expansion and associated biophysical impacts remains insufficiently quantified. Here, we utilized multi-temporal remote sensing data and geospatial information for areas surrounding more than 56,000 oil and gas wells in the basin to quantify shrubland to impervious surface transitions, changes in vegetation condition using the Normalized Difference Vegetation Index (NDVI), and changes in surface reflectance using albedo from 2008 to 2024. We compared three-year pre-development (2008-2010) and post-development (2022-2024) composites and evaluated changes across buffer distances ranging from 50 m to 50 km around wells and paired control sites that remained stable shrublands throughout the study period. Results reveal highly concentrated land transformation near wells, where relatively small spatial footprints accounted for disproportionately large shares of shrubland to impervious surface transitions (e.g., 0.83% of basin area within 100 m of wells accounted for over 22% of basin-scale transitions). Transition rates were highest within 50 m of wells and declined with increasing distance. County-level regression models further confirmed the positive association between well development and shrubland to impervious surface transitions while controlling for population change. We also found that impacted sites experienced smaller increases in NDVI than paired control sites, likely indicating reduced vegetation growth. In addition, impacted sites showed greater increases in surface albedo than paired control sites, indicating measurable biophysical impacts that are not evident in basin-scale averages. Overall, energy development contributed to intense, localized land transitions and notable broad-scale biophysical changes in the Permian Basin. These findings provide critical insights for assessing the environmental impacts of oil and gas development and managing land and future energy development in semi-arid regions.","摘要 二叠纪盆地（Permian Basin）贡献了美国近一半的石油产量，过去二十年间经历了大规模的能源开发活动。然而，这一扩张所驱动的土地覆盖动态变化程度及其相关的生物物理影响仍未得到充分量化。本研究利用多时相遥感数据和地理空间信息，针对该盆地内超过56,000口油气井周边区域，量化了2008年至2024年间灌木地向不透水面（impervious surface）的转变、基于归一化植被指数（Normalized Difference Vegetation Index, NDVI）的植被状况变化，以及基于反照率（albedo）的地表反射率变化。我们比较了开发前三年（2008-2010年）和开发后三年（2022-2024年）的合成影像，并评估了油井周边50米至50公里缓冲距离范围内以及在整个研究期间保持稳定灌木地的配对对照样点的变化。结果表明，土地转变高度集中在油井附近，相对较小的空间范围却导致了不成比例的大比例灌木地向不透水面转变（例如，油井100米范围内占盆地面积0.83%的区域，贡献了超过22%的盆地尺度转变）。转变速率在油井50米范围内最高，并随距离增加而下降。县级回归模型进一步证实，在控制人口变化的情况下，油井开发与灌木地向不透水面转变之间存在正相关关系。我们还发现，受影响样点的NDVI增幅小于配对对照样点，可能表明植被生长减弱。此外，受影响样点的地表反照率增幅大于配对对照样点，表明存在可测量的生物物理影响，而这些影响在盆地尺度的平均值中并不明显。总体而言，能源开发导致了二叠纪盆地强烈的局部土地转变和显著的广域生物物理变化。这些发现为评估油气开发的环境影响以及管理半干旱地区的土地和未来能源开发提供了重要见解。",null,"Environmental Research Energy","2026-10-05T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"该论文聚焦美国二叠纪盆地油气开发对地表覆盖与生物物理参数的影响，属能源与环境遥感研究，与三农、农业信息化、智慧农业、数字乡村等主题无关，不予入选。",[19],{"name":10,"url":6},[12],[],{"status":23,"locked":14,"version":24,"method":25,"evidence":26},"needs_review","2026-10-22.2","rules",{"candidates":27,"agricultural_evidence":14,"reason":44},[28,37],{"code":29,"score":30,"supported":31,"title":32,"abstract":33,"tags":36},"I3",6,true,[],[34,35],"遥感","remote sensing",[],{"code":38,"score":39,"supported":31,"title":40,"abstract":41,"tags":43},"H7",3,[],[42],"干旱",[],"农业相关性需要复核",[],"Energydevelopmentisakeydriveroflandcover-4362","10.1088\u002F2753-3751\u002Faeb02d",{"doi":47,"openalex_id":49,"authors":50,"venue":10,"cited_by_count":15,"oa_url":69,"card":70,"direction":74,"ingested_from":76},"W7220439110",[51,54,57,60,63,66],{"name":52,"orcid":53},"Nastaran Abdoli","https:\u002F\u002Forcid.org\u002F0000-0001-9922-1687",{"name":55,"orcid":56},"Nishan Bhattarai","https:\u002F\u002Forcid.org\u002F0000-0003-2749-3549",{"name":58,"orcid":59},"Jayash Paudel","https:\u002F\u002Forcid.org\u002F0000-0003-3430-7943",{"name":61,"orcid":62},"Yanhua Xie","https:\u002F\u002Forcid.org\u002F0000-0001-9814-5395",{"name":64,"orcid":65},"Jennifer Koch","https:\u002F\u002Forcid.org\u002F0000-0002-7067-2705",{"name":67,"orcid":68},"Heather Bedle","https:\u002F\u002Forcid.org\u002F0000-0003-3010-0195","https:\u002F\u002Fiopscience.iop.org\u002Farticle\u002F10.1088\u002F2753-3751\u002Faeb02d\u002Fpdf",{"tldr":71,"method":72,"finding":73,"direction":74,"opportunity":75},"利用多时相遥感量化二叠纪盆地油气开发导致的土地覆盖与生物物理变化。","多时相遥感、NDVI与反照率，对比56,000余口井周边与对照区。","井周边土地转化高度集中，NDVI增幅更小、反照率增幅更大。","农业遥感与作物表型","可延伸研究半干旱区能源开发对植被与地表能量平衡的长期累积影响。","openalex","2026-10-07T23:30:28.827801Z",{"total":15,"page":79,"page_size":79,"items":80},1,[]]