[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2792":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":53},2792,"Developing a desertification index integrating intra-annual dynamics of vegetation cover and soil moisture","https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-026-71674-0","Desertification is a key expression of dryland ecosystem degradation, affecting land productivity and ecological sustainability. Reliable assessment requires indicators that capture both vegetation status and water limitation, yet the seasonal coupling between vegetation cover (VC) and soil moisture (SM) remains insufficiently understood. This study analyzed VC–SM interactions in Inner Mongolia, northern China, from 2001 to 2025. SM was estimated using the temperature vegetation drought index derived from MODIS-NDVI and MODIS-LST data. Temporal trend analysis and time-lag cross-correlation were applied to characterize seasonal VC–SM dynamics across land-cover types, and four desertification indices were developed. Intra-annual SM fluctuations closely tracked vegetation phenology. Increased SM promoted vegetation growth, while vegetation development enhanced water consumption and slowed SM accumulation. The difference between growing-season maximum VC and minimum SM was strongly correlated with peak VC (r = 0.97, p \u003C 0.01), indicating its ability to reflect soil productivity and vegetation–water coupling strength. VC–SM coupling varied among land-cover types, with stronger and longer-lagged responses in forest and cultivated lands than in grasslands and unused lands. Among the four indices, the Moisture Vegetation Normalized Difference Desertification Index (MV-NDDI) showed comparatively stable performance in capturing VC–SM relationships and distinguishing desert from non-desert areas, although the reported correlations were modest in magnitude. These findings suggest that MV-NDDI may provide a useful indicator for desertification monitoring in water-limited dryland ecosystems.","荒漠化是旱地生态系统退化的关键表现，影响土地生产力和生态可持续性。可靠的评估需要既能反映植被状况又能反映水分限制的指标，然而植被覆盖度（VC）与土壤水分（SM）之间的季节性耦合关系仍认识不足。本研究分析了2001年至2025年中国北方内蒙古地区VC–SM的相互作用。SM利用基于MODIS-NDVI和MODIS-LST数据计算得到的温度植被干旱指数进行估算。应用时间趋势分析和时滞互相关分析表征不同土地覆盖类型下季节性VC–SM动态，并构建了四个荒漠化指数。年内SM波动与植被物候密切相关。SM增加促进植被生长，而植被发育增强水分消耗并减缓SM积累。生长季最大VC与最小SM之间的差值与峰值VC高度相关（r = 0.97，p \u003C 0.01），表明其能够反映土壤生产力和植被–水分耦合强度。VC–SM耦合在不同土地覆盖类型间存在差异，林地和耕地的响应强于草地和未利用地，且滞后时间更长。在四个指数中，水分植被归一化差异荒漠化指数（MV-NDDI）在捕捉VC–SM关系和区分荒漠与非荒漠区域方面表现出相对稳定的性能，尽管所报告的相关性强度适中。这些发现表明，MV-NDDI可为水分受限的旱地生态系统荒漠化监测提供有用的指标。",null,"Scientific Reports","2026-09-16T00:00:00Z","论文",10,false,79,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},16,22,18,14,9,1,"基于MODIS遥感构建植被-土壤水分耦合的荒漠化指数，方法有新意、数据跨度长，对旱区生态监测有参考价值，但属区域性学术进展，非全国性重大事件。",[25],{"name":10,"url":6},[27,28,29,30,31],"遥感","土壤墒情","植被覆盖","生态评估","荒漠化监测",0,"10.1038\u002Fs41598-026-71674-0",{"doi":33,"openalex_id":35,"authors":36,"venue":10,"cited_by_count":32,"oa_url":45,"card":46,"direction":50,"ingested_from":52},"W7213310812",[37,39,41,43],{"name":38,"orcid":9},"Tianwang Lei",{"name":40,"orcid":9},"Chong Zhang",{"name":42,"orcid":9},"Chao Li",{"name":44,"orcid":9},"Xiangying Li","https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41598-026-71674-0_reference.pdf",{"tldr":47,"method":48,"finding":49,"direction":50,"opportunity":51},"构建融合植被覆盖与土壤湿度年内动态的荒漠化指数MV-NDDI，并在内蒙古验证。","用MODIS-NDVI与LST估算土壤湿度，结合趋势分析与时滞互相关，构建四个指","生长季最大植被覆盖与最小土壤湿度之差与峰值植被覆盖高度相关，MV-NDDI表现较稳定。","农业遥感与作物表型","可引入多源遥感与机器学习提升土壤湿度估算精度，并验证MV-NDDI在其他干旱区的适用性。","openalex","2026-09-17T23:30:36.136113Z"]