This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.5194/essd-17-3009-2025. This is version 1 of this Preprint.

CEDAR-GPP: spatiotemporally upscaled estimates of gross primary productivity incorporating CO2 fertilization
Downloads
Authors
Abstract
Gross primary productivity (GPP) is the largest carbon flux in the Earth system, playing a crucial role in removing atmospheric carbon dioxide and providing the sugars and starches needed for ecosystem metabolism. Despite the importance of GPP, however, existing estimates present significant uncertainties and discrepancies. A key issue is the underrepresentation of the CO2 fertilization effect, a major factor contributing to the increased terrestrial carbon sink over recent decades. This omission could potentially bias our understanding of ecosystem responses to climate change.
Here, we introduce CEDAR-GPP, the first global upscaled GPP pr... more
DOI
https://doi.org/10.31223/X5R957
Subjects
Earth Sciences, Physical Sciences and Mathematics
Keywords
gross primary productivity, CO2 fertilization, remote sensing, machine learning
Dates
Published: 2023-08-09 17:38
Last Updated: 2023-08-10 00:38
License
CC BY Attribution 4.0 International
Additional Metadata
Data Availability (Reason not available):
https://doi.org/10.5281/zenodo.8212707
There are no comments or no comments have been made public for this article.