Metabolic growth mechanisms and theoretical growth potential of global woody plant communities

Predicting the growth and maximum biomass (Mmax) of woody plant communities (WPCs) is challenging due to the complexity and variability of tree growth. While Metabolic Scaling Theory (MST) offers a promising concept, its current theoretical framework is still insufficient. Here, we applied MST principles and our previous findings to propose an iterative growth model for the growth and NPP of WPCs (IGMF). This model and its extension show that WPC growth, net primary productivity, and other carbon budgets - such as total primary productivity, autotrophic respiration, organ turnover biomass, and non-structural carbohydrates - can be expressed as functions of current biomass, maintenance respiration rate per unit biomass, and stand age or Mmax. These globally convergent functions allow estimation of the current (2018–2020) global Mmax of woody plant communities at 1,440  ±  26 Pg, based solely on their current state, with an additional 510 Pg of remaining biomass potential. However, m..., , , # Metabolic growth mechanisms and theoretical growth potential of global woody plant communities

#### Overview

This dataset (submitCode_(2).zip) is a complementary compilation designed to support research on maximum biomass (Mₘₐₓ), carbon fluxes (e.g., NPP, GPP), and their biogeographical patterns, drivers, and future changes across global woody plant communities (WPCs). They integrate field measurements, database extractions, digitized figure data, and processed global raster products, with consistent curation to ensure compatibility for modeling, validation, and biogeographical analysis.

The main folder submitCode.zip contains the following files:

**keydata.csv**

Integrates field-based measurements from multiple studies, with the core component being standardized data from Michaletz et al. (2014) — covering biomass, growth, mortality, and climate variables for 1,247 WPCs across broad climatic gradients. Supplementary data from Chen et al. (2016) and Sullivan et al. (2020) are inc...,

由于树木生长的复杂性与变异性，预测木质植物群落（woody plant communities, WPCs）的生长与最大生物量（maximum biomass, Mmax）极具挑战。尽管代谢缩放理论（Metabolic Scaling Theory, MST）提供了颇具前景的研究思路，但当前其理论框架仍存在不足。本文基于MST原理与既往研究成果，提出了一种用于WPCs生长与净初级生产力（net primary productivity, NPP）的迭代生长模型（iterative growth model, IGMF）。该模型及其扩展形式表明，WPC的生长、净初级生产力以及其他碳收支项——如总初级生产力（GPP）、自养呼吸、器官周转生物量与非结构性碳水化合物——均可表示为当前生物量、单位生物量维持呼吸速率以及林分年龄或Mmax的函数。依托这些全局收敛函数，仅基于当前状态即可估算得到2018–2020年全球木质植物群落的最大生物量为1440 ±26 Pg，同时剩余生物量潜力达510 Pg。然而，本文内容未完……
# 全球木质植物群落的代谢生长机制与理论生长潜力

#### 数据集概览
本数据集（submitCode_(2).zip）为配套汇编数据，旨在支撑全球木质植物群落的最大生物量、碳通量（如净初级生产力（NPP）、总初级生产力（GPP））及其生物地理格局、驱动因子与未来变化相关研究。数据集整合了野外实测数据、数据库提取数据、数字化图表数据与处理后的全球栅格产品，并经过统一的整理质控，以确保其适配建模、验证与生物地理分析的需求。

主文件夹submitCode.zip包含以下文件：
**keydata.csv**
整合了多项研究的野外实测数据，核心组分为Michaletz等人2014年的标准化数据集，涵盖覆盖广泛气候梯度的1247个WPCs的生物量、生长、死亡率与气候变量。补充数据来自Chen等（2016）与Sullivan等（2020）的研究，……