Gosling & Christopher Reyer & Fang Zhao & Philippe Ciais & Joshua Elliott & Louis Francois & Veronika Huber & Heike K.

' Mountain pine beetle and forest carbon feedback to climate change,' ' Carbon loss from forest degradation exceeds that from deforestation in the Brazilian Amazon,' Yuanwei Qin & Xiangming Xiao & Jean-Pierre Wigneron & Philippe Ciais & Martin Brandt & Lei Fan & Xiaojun Li & Sean Crowell & Xiaocui Wu & Russell Doughty & Yao Zhang & Fang Liu & Stephen Sitch & Berri, 2021.' Climate warming from managed grasslands cancels the cooling effect of carbon sinks in sparsely grazed and natural grasslands,' Goll & Wei Li & Victoria Naipal & Shushi Peng & Chunjing Q, 2021. Jinfeng Chang & Philippe Ciais & Thomas Gasser & Pete Smith & Mario Herrero & Petr Havlík & Michael Obersteiner & Bertrand Guenet & Daniel S.These findings highlight the need to advance model-data integration to improve estimates of the terrestrial carbon cycle under the Global Stocktake. Our estimates suggest that the global woody vegetation carbon sink due to environmental processes (1.5 PgC yr−1) is weaker and more susceptible to interannual variations and extreme events than estimated by state-of-the-art process-based carbon cycle models. Estimated emissions (from land-use and land cover changes) between 20 amount to 1.4 PgC yr−1, reducing the difference to other carbon cycle model estimates by up to 88% compared to previous estimates with the BKM (without the data assimilation). This approach allows us to disentangle the observation-based carbon fluxes by terrestrial woody vegetation into anthropogenic and environmental contributions. Here, we assimilate a 21st century observation-based time series of woody vegetation carbon densities into a bookkeeping model (BKM). Monitoring the implementation of emission commitments under the Paris agreement relies on accurate estimates of terrestrial carbon fluxes.

Flux b4 how to download