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

<p>Distinguishing gross primary production of sunlit and shaded leaves (GPP<sub>sun</sub> and GPP<sub>shade</sub>) 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, GPP<sub>shade</sub> and GPP<sub>sun</sub> 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, GPP<sub>sun</sub>, and GPP<sub>shade</sub> over 1992-2020 at 125.0±3.8 (mean ± std) Pg C a<sup>-1</sup>, 50.5±1.2 Pg C a<sup>-1</sup>, and 74.5±2.6 Pg C a<sup>-1</sup>, 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 GPP<sub>sun</sub> and GPP<sub>shade</sub>) for CRO is distinctively greatest, and that for DBF (deciduous broadleaf forest) is relatively large and GPP<sub>shade</sub> overwhelmingly outweighs GPP<sub>sun</sub>. This new dataset advances our in-depth understanding of large-scale carbon cycle processes and dynamics.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
12
Access
12
Reuse readiness
0
Engagement
8

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