(October 2, 2025)
Dear Colleagues,
I am pleased to share that our manuscript, “The Hidden Demography of the 21st Century Global Forest Carbon Sink,” has now been formally submitted and is under consideration at Science.
This milestone was only possible because of your contributions—whether through data sharing, analysis, conceptual development, or feedback on drafts. The study brings together the most extensive global forest dataset ever assembled, including unprecedented integration of China’s national forest inventory, and reveals the demographic processes that underpin the long-term stability of the global forest carbon sink.
While the review process may take some time, this submission marks an important step in bringing our collective effort to the international stage. I will keep you updated as we hear back from the editors.
Thank you again for your collaboration and support.
With gratitude,
Jingjing Liang
(3/2/2023)
Dear project members:
We are currently in the data collection phase, and I’d like to update you on where we are. As of 3/2/2023, we have acquired data from 29 countries, including National Forest Inventory (NFI) from several countries (Japan, New Zealand, Slovakia, Poland, and the USA). The location of these data is shown on the map in the Charts page. Each point represents a forest plot, where trees were measured more than twice over the years. We have already compiled some of these data into our standard template (red points), while the compilation process is still ongoing for other data (blue points).
We are still actively asking for data contributions and expecting more NFI as well (e.g., several European countries, Canada, South Korea, Australia, etc.). We’d like to fill in the gaps as much as possible. Please let us know if you or someone you know have remeasured forest inventory data! The details of expected data can be found here: Special Call for Data 2022 – Science-i
Note that a few plots are not shown on the map since we could not get a tree-to-tree connection over time. Such data are still valuable for plot-level growth, mortality, and recruitment data and will be included in this project.
Finally, thank you all for your collaboration, and please feel free to contact us if you have any questions!
Akane Abbasi