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Updated: Jan 29, 2026

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
Published on: October 24, 2025
Multiple abiotic and biotic pathways shape biomass demographic processes in temperate forests.
Zuoqiang Yuan1, Arshad Ali2, Tommaso Jucker3
1CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110164, China.
Forest carbon dynamics are driven by complex interactions between soil, stand age, and vegetation traits. Mortality is the primary factor influencing net biomass change over time in temperate forests.
Area of Science:
- Ecology
- Forest Science
- Global Change Biology
Background:
- Forests are critical for the global carbon cycle, but drivers of their carbon dynamics are not fully understood.
- Abiotic and biotic factors influencing forest demographic processes need further investigation.
Purpose of the Study:
- To investigate how soil conditions and stand age affect forest biomass demographic processes.
- To determine the influence of vegetation quality and quantity on biomass dynamics.
- To quantify the contribution of growth, recruitment, and mortality to net biomass change.
Main Methods:
- Utilized repeat forest inventory data from 92,285 trees in northeast China.
- Employed structural equation modeling to analyze relationships between variables.
- Assessed the impact of soil conditions, stand age, functional trait diversity, and initial biomass stocks.
Main Results:
- Mortality was the strongest determinant of net biomass change.
- Growth, mortality, functional trait diversity, and community-weighted mean of specific leaf area (CWMSLA) declined with stand age.
- High soil phosphorus increased functional diversity and dynamics but decreased CWMSLA and initial biomass.
- Functional diversity correlated with recruitment, while initial biomass and CWMSLA predicted growth and mortality, respectively.
Conclusions:
- Forest biomass dynamics are jointly constrained by multiple abiotic and biotic factors.
- Stand age and soil conditions significantly influence forest structure and function.
- Understanding these complex interactions is crucial for predicting forest responses to global change.
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