Convergence and variation in tree growth trends at the aggregate level
收藏DataONE2025-11-04 更新2025-11-08 收录
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Individual trees in natural forests often exhibit complex, inconsistent, and variable growth trajectories influenced by genetics, climate change, and uneven stand structure. These growth divergences pose a challenge in predicting the overall growth trend of trees at the aggregate level.
Here, we propose a radius-driven metabolic growth model (IGMR) to explain the radial growth of trees. The IGMR suggests that the best radial growth trajectory (BGT) at the aggregate level varies within a predictable range and can be derived from the maximum radius and total growth time of an individual tree.
Analyses based on a global database confirmed the applicability of the IGMR and found that the average radial growth trend closely follows half of the BGT, with the strength of this association potentially related to functional trait trade-offs.
Further analyses show that climate change and uneven stand structure may cause the overall growth trajectory to undergo more drifts (changes in growth rate o..., , # Data from: Convergence and variation in tree growth trends at the aggregate level
## 1. Overview
This dataset was compiled to investigate large-scale patterns and drivers of tree radial growth across multiple regions. It integrates tree-ring measurement data from the NOAA International Tree-Ring Data Bank (ITRDB) and processed climate variables derived from WorldClim v2.1.
All data were curated, filtered, harmonized, and aggregated to meet the analytical objectives of the study, resulting in a final dataset containing more than 130,000 individual records.
Note: The WorldClim data included here are processed derivatives (summaries and extracted site-level values), not the original raster files. These derived variables are consistent with Dryadâs CC0 license requirements, as they represent newly generated, value-added data.
## **2. Data Availability**
\- Data and code underlying Figure 1 are not included, as they overlap with an ongoing unpublished study. Relevant files will be ma...,
创建时间:
2025-11-05



