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Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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Fine-root mortality rates in a temperate forest: estimates using radiocarbon data and numerical modeling.

W J Riley1, J B Gaudinski1,2,3, M S Torn1,4

  • 1Earth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.

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A new model, Radix1.0, simulates fine-root dynamics in temperate forests, revealing distinct short- and long-lived root populations. This research provides the first fine-root turnover time estimates accounting for respiration, storage, and seasonal growth.

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Area of Science:

  • Ecology
  • Forest Science
  • Biogeochemistry

Background:

  • Fine-root dynamics are crucial for ecosystem carbon cycling.
  • Existing models often oversimplify root turnover and carbon flow.
  • Understanding root lifespan is key to accurate ecosystem process modeling.

Purpose of the Study:

  • To develop and apply a novel model (Radix1.0) for simulating fine-root dynamics.
  • To estimate turnover times for live and dead fine-root pools.
  • To incorporate respiration, storage, and seasonal patterns into root dynamics modeling.

Main Methods:

  • Utilized an inadvertent whole-ecosystem 14C label at a temperate forest.
  • Developed the Radix1.0 model simulating multiple live/dead root pools and carbon storage.
  • Applied the model to fine roots across different size classes and soil depths.

Main Results:

  • Predicted live-root turnover times of <1 year and ~10 years.
  • Estimated dead-root decomposition turnover times of ~2 years and ~10 years.
  • Highlighted the necessity of multiple live/dead pools and respiration for accurate carbon flow.

Conclusions:

  • Fine-root systems comprise distinct short- and long-lived populations with decadal turnover times.
  • Current models may underestimate belowground net primary production due to simplified turnover assumptions.
  • Accurate fine-root modeling requires accounting for complex dynamics like respiration and storage.