A global 0.05° dataset for gross primary production of sunlit and shaded vegetation canopies (1992–2020)

Distinguishing gross primary production of sunlit and shaded leaves (GPPsun and GPPshade) is crucial for improving our understanding of the underlying mechanisms regulating long-term GPP variations. Here we produce a global 0.05°, 8-day dataset for GPP, GPPshade and GPPsun over 1992-2020 using an updated two-leaf light use efficiency model (TL-LUE), which is driven by the GLOBMAP leaf area index, CRUJRA meteorology, and ESA-CCI land cover. Our products estimate the mean annual totals of global GPP, GPPsun, and GPPshade over 1992-2020 at 125.0±3.8 (mean ± std) Pg C a-1, 50.5±1.2 Pg C a-1, and 74.5±2.6 Pg C a-1, respectively, in which EBF (evergreen broadleaf forest) and CRO (crops) contribute more than half of the totals. They show clear increasing trends over time, in which the trend of GPP (also GPPsun and GPPshade) for CRO is distinctively greatest, and that for DBF (deciduous broadleaf forest) is relatively large and GPPshade overwhelmingly outweighs GPPsun. This new dataset advances...区分阳生叶与阴生叶的总初级生产力（分别对应GPPsun与GPPshade），对于深化理解调控长期总初级生产力（Gross Primary Production, GPP）变化的内在机制至关重要。本研究基于更新后的双叶光能利用率模型（two-leaf light use efficiency model, TL-LUE），以GLOBMAP叶面积指数、CRUJRA气象数据集与ESA-CCI土地覆盖数据作为驱动因子，构建了1992-2020年全球0.05°分辨率、8天时间步长的总初级生产力、阳生叶总初级生产力与阴生叶总初级生产力数据集。本数据集估算得到1992-2020年全球总初级生产力、阳生叶与阴生叶总初级生产力的年均总量分别为125.0±3.8（均值±标准差）Pg C·a⁻¹、50.5±1.2 Pg C·a⁻¹与74.5±2.6 Pg C·a⁻¹，其中常绿阔叶林（EBF，evergreen broadleaf forest）与农田（CRO，crops）的贡献占总量的一半以上。三类变量均呈现显著的时间增长趋势，其中农田的总初级生产力（涵盖阳生叶与阴生叶总初级生产力）增长趋势最为突出；落叶阔叶林（DBF，deciduous broadleaf forest）的增长趋势也相对显著，且其阴生叶总初级生产力远高于阳生叶总初级生产力。本全新数据集推进了……