A global 0.05° dataset for gross primary production of sunlit and shaded vegetation canopies from 1992 to 2020

Abstract

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 our in-depth understanding of large-scale carbon cycle processes and dynamics.

Increased Sensitivity of Global Vegetation Productivity to Drought Over the Recent Three Decades

“…Therefore, Bi et al. (2022) improved the TL‐LUE model by adding the atmospheric CO 2 concentration factor and generated a global GPP data set for 1992–2020 with spatially and temporally variant leaf area index (GLOBMAP leaf area index), meteorological data (Climatic Research Unit and Japanese reanalysis, CRU JRA v2.2) and land cover (European Space Agency Climate Change Initiative Land Cover, ESA CCI land cover) as inputs. The data set has a relatively long time series (nearly 30 years), allowing it to be better used to study the response of vegetation GPP to climate change.…”

Flash drought drives rapid vegetation stress in arid regions in Europe

“…GPP, defined as the total influx of carbon into an ecosystem through photosynthetic fixation of carbon, is obtained from FLUXCOM [32] generated through upscaling of energy and carbon flux measurements from FLUXNET eddy covariance towers using machine learning algorithms; the data generated by random forest using remote sensingbased inputs (RS product) is used in this study. GPP generated from a revised two-leaf light use efficiency model driven by satellite and reanalysis data is additionally considered [33]. LAI quantifies the amount of leaf area in a vegetation canopy, and the data are obtained from the gap-filled satellite data, including Moderate Resolution Imaging Spectroradiometer (MODIS)/Terra [34] and Global LAnd Surface Satellite (GLASS) [35,36].…”

Immediate and carry‐over effects of late‐spring frost and growing season drought on forest gross primary productivity capacity in the Northern Hemisphere

“…Gross primary productivity (GPP) is the main component of global C fluxes. It has been reported to be more than 12 times larger than anthropogenic C emissions (Bi et al, 2022; IPCC, 2022). Quantitative and conceptual models describe GPP as a function of vegetation properties and environmental factors.…”