Distinguishing mature and immature trees allows to estimate forest carbon uptake from stand structure
Samuel M. Fischer, Xugao Wang, Andreas Huth

TL;DR
This study demonstrates that forest structure, especially the prevalence of immature trees, can be used to estimate forest carbon uptake, revealing key relationships between tree maturity, stand structure, and carbon fluxes.
Contribution
It introduces a novel approach linking forest structural proxies to carbon fluxes, emphasizing the importance of immature trees in predicting NPP and NEE.
Findings
Basal area of immature trees predicts NPP and NEE effectively.
Basal area entropy correlates with forest productivity metrics.
Results are consistent across multiple spatial scales.
Abstract
Relating forest productivity to local variations in forest structure has been a long-standing challenge. Previous studies often focused on the connection between forest structure and stand-level photosynthesis (GPP). However, biomass production (NPP) and net ecosystem exchange (NEE) are also subject to respiration and other carbon losses, which vary with local conditions and life history traits. Here, we use a simulation approach to study how these losses impact forest productivity and reveal themselves in forest structure. We fit the process-based forest model Formind to a 25ha inventory of an old-growth temperate forest in China and classify trees as "mature" (full-grown) or "immature" based on their intrinsic carbon use efficiency. Our results reveal a strong negative connection between the stand-level carbon use efficiency and the prevalence of mature trees: GPP increases with the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsForest Management and Policy · Land Use and Ecosystem Services · Forest ecology and management
