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Based on the Global dataset of solar-induced chlorophyll fluorescence (GOSIF) and the Optimal Parameters-based Geographical Detector (OPGD) model, systematically analyzed the spatio-temporal patterns and driving mechanisms of vegetation photosynthesis on the Loess Plateau (LP) and its six ecological subregions from 2002 to 2022. The results indicated that: (1) On the temporal scale, the annual mean SIF across the LP region demonstrated significant growth with spatial heterogeneity. The hilly-gully region (Subregion B2) showed the highest increase rate[0.0024W/(m²·μm·sr·a)], while sandy and irrigated agricultural areas displayed the lowest [0.0006W/(m²·μm·sr·a)]. (2) On the spatial scale, the spatial distribution of annual SIF on the LP was significantly different, Notable degradation was observed in localized areas, particularly within the high-plain-gully Subregion A1 (central Qinghai Province) and the Guanzhong Plain. 11.36% of the region (southern rocky mountain and valley plain areas) exhibited SIF changes that deviated from the regional trend. (3) Anthropogenic factors dominated human activities and climate change exerted dual influences on vegetation photosynthetic evolution, with the former acting as the dominant driver and the latter governing spatial divergence. Precipitation primarily regulated SIF variations in the high-plain-gully Subregion A1, while solar radiation dominated the evolution in Subregion A2, hilly-gully regions, and rocky mountain-valley plain areas. Factor interactions synergistically amplified SIF spatial heterogeneity.

, authors=Lian ZHOU^{1, 2, 3}, Xia JIA^{2, 3, 4}, Yong-hua ZHAO^{1, 2, 3, *}, Peng ZHANG^{1, 2, 3}, Ming ZHAO^{1, 2, 3}, Shao-cheng SI^{1, 2, 3}, authorsList=Lian ZHOU, Xia JIA, Yong-hua ZHAO, Peng ZHANG, Ming ZHAO, Shao-cheng SI, authorCompany=null, correspAuthors=Yong-hua ZHAO, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1314922071193383774, articleId=1314922070123836251, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=黄土高原植被光合动态的时空演变及驱动机制——基于参数最优地理探测器模型, columnId=1234106388268503686, journalTitle=中国环境科学, columnName=环境生态, runingTitle=null, highlight=null, articleAbstract=

基于GOSIF数据集与参数最优地理探测器模型（OPGD），系统分析了2002~2022年黄土高原及其6个生态分区植被光合动态的时空演变特征及驱动机制．结果表明：（1）在时间尺度上，全域年均SIF呈显著波动上升趋势，丘陵沟壑区B2副区增速最高[0.0024W/（m²·μm·sr·a）]，沙地和农灌区增速最低[0.0006W/（m²·μm·sr·a）]．（2）在空间尺度上，呈现西部-东南高、西北低的分布格局，高塬沟壑区青海省中部、关中平原等局部区域显著退化，11.36%区域（土石山及河谷平原区南部等）SIF变化与整体趋势相悖．（3）人类活动与气候变化对植被光合演化具有双重效应，前者为主导因子，后者驱动空间分异；降水主导高塬沟壑区A1副区变化，太阳辐射主导高塬沟壑区A2副区、丘陵沟壑区及土石山及河谷平原区演变，因子交互作用协同增强SIF空间分异．

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周连（2001-），男，陕西西安人，长安大学博士研究生，主要从事黄河流域生态监测与生态保护修复研究．2271331954@qq.com.

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周连（2001-），男，陕西西安人，长安大学博士研究生，主要从事黄河流域生态监测与生态保护修复研究．2271331954@qq.com.

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