[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2328":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":23,"tags":25,"view_count":31,"doi":32,"paper":33,"created_at":58},2328,"Three decades of vegetation change in Jabel Marra: climate drivers and post-conflict vegetation dynamics","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs12665-026-13109-7","Understanding long-term vegetation dynamics in semi-arid and conflict-affected environments is important for sustainable land management and climate adaptation. This study investigated vegetation change and climate variability in the Jabel Marra region of Central Darfur, Sudan, during 1994–2024 using Landsat-derived Normalized Difference Vegetation Index (NDVI), CHIRPS precipitation, MERRA-2 temperature, and the Standardized Precipitation Evapotranspiration Index (SPEI). Long-term vegetation trends were assessed using the Mann-Kendall trend test and Sen’s slope estimator, whereas climate–vegetation relationships were evaluated using correlation analysis. The annual NDVI showed a significant positive trend (Mann–Kendall Z = 4.78, p \u003C 0.001), with a Sen’s slope of 0.00143 NDVI units year⁻¹, indicating a gradual increase in vegetation greenness. Spatial trend analysis showed that positive vegetation trends were concentrated primarily in mid-to-high elevation vegetated areas. Annual precipitation exhibited substantial interannual variability (R² = 0.06), whereas temperature increased consistently (R² = 0.51). NDVI was positively correlated with precipitation ( r = 0.48) and negatively correlated with temperature ( r = − 0.57). The SPEI identified recurrent drought episodes before 2018, followed by predominantly wetter conditions thereafter. The findings indicate that vegetation dynamics in Jabel Marra were primarily associated with climatic variability, particularly precipitation and drought conditions, while conflict-related processes were considered contextual because they were not directly analyzed. This study demonstrates the value of integrating long-term satellite observations and climate datasets to monitor vegetation changes in data-scarce dryland environments.","理解半干旱和受冲突影响环境中的长期植被动态，对于可持续土地管理和气候适应具有重要意义。本研究利用基于Landsat的归一化植被指数（NDVI）、CHIRPS降水数据、MERRA-2温度数据以及标准化降水蒸散指数（SPEI），调查了苏丹中达尔富尔州杰贝尔马拉地区1994—2024年的植被变化与气候变率。长期植被趋势采用Mann-Kendall趋势检验和Sen斜率估计法进行评估，气候—植被关系则通过相关分析进行评价。年NDVI呈显著正趋势（Mann-Kendall Z = 4.78，p \u003C 0.001），Sen斜率为0.00143 NDVI单位·年⁻¹，表明植被绿度逐渐增加。空间趋势分析显示，植被正向趋势主要集中在中高海拔植被区。年降水量表现出较大的年际变率（R² = 0.06），而温度则持续上升（R² = 0.51）。NDVI与降水量呈正相关（r = 0.48），与温度呈负相关（r = −0.57）。SPEI识别出2018年之前反复出现的干旱事件，此后则以偏湿润条件为主。研究结果表明，杰贝尔马拉地区的植被动态主要与气候变率相关，尤其是降水量和干旱状况，而冲突相关过程因未被直接分析，仅作为背景因素加以考虑。本研究证明了整合长期卫星观测和气候数据集以监测数据稀缺干旱区环境植被变化的价值。",null,"Environmental Earth Sciences","2026-09-10T00:00:00Z","论文",10,false,66,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":17,"relevant":21,"comment":22},8,20,17,13,1,"基于30年Landsat与气候数据的半干旱冲突区植被动态研究，方法规范、结论可靠，对旱区土地管理与气候适应有参考价值，但属区域案例研究，公共影响有限。",[24],{"name":10,"url":6},[26,27,28,29,30],"NDVI","气候适应","遥感监测","干旱区农业","植被变化",0,"10.1007\u002Fs12665-026-13109-7",{"doi":32,"openalex_id":34,"authors":35,"venue":10,"cited_by_count":31,"oa_url":50,"card":51,"direction":55,"ingested_from":57},"W7212149653",[36,39,42,44,46,48],{"name":37,"orcid":38},"Abdalrahman Ahmed","https:\u002F\u002Forcid.org\u002F0009-0000-0624-2615",{"name":40,"orcid":41},"Kornél Czimber","https:\u002F\u002Forcid.org\u002F0000-0002-3739-2461",{"name":43,"orcid":9},"Saralees Nadarajah",{"name":45,"orcid":9},"Elmugheira Mockarram Ibrahim Mohammed",{"name":47,"orcid":9},"Ahmed Abdallah Adam Mohamed",{"name":49,"orcid":9},"Faisal Ismail Musa","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs12665-026-13109-7.pdf",{"tldr":52,"method":53,"finding":54,"direction":55,"opportunity":56},"分析苏丹Jabel Marra地区1994–2024年植被变化及其气候驱动因素。","用Landsat NDVI、CHIRPS降水、MERRA-2温度和SPEI，结合","NDVI显著上升，与降水正相关、与温度负相关，2018年前多干旱后转湿。","农业遥感与作物表型","冲突影响仅作背景，可结合社会经济与冲突数据量化其对干旱区植被恢复的独立贡献。","openalex","2026-09-13T23:30:24.709880Z"]