https://github.com/bioatmosphere/tam

Taming Fine-root Systems Complexity with TAM in ecosystem, biosphere, and Earth System modelling

https://github.com/bioatmosphere/tam

Science Score: 49.0%

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  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 5 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
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  • Scientific vocabulary similarity
    Low similarity (8.1%) to scientific vocabulary

Keywords

absorptive-root biosphere-model complexity demography earth-system-model ecosystem ecosystem-model elm fine-root fungi mycorrhiza tam trait transport-root
Last synced: 5 months ago · JSON representation

Repository

Taming Fine-root Systems Complexity with TAM in ecosystem, biosphere, and Earth System modelling

Basic Info
  • Host: GitHub
  • Owner: bioatmosphere
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 20.4 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
absorptive-root biosphere-model complexity demography earth-system-model ecosystem ecosystem-model elm fine-root fungi mycorrhiza tam trait transport-root
Created over 4 years ago · Last pushed 8 months ago
Metadata Files
Readme

README.md

TAM–Transport and Absorptive roots with Mycorrhizal fungi

Wang, B., McCormack, M. L., Ricciuto, D. M., Yang, X., & Iversen, C. M. (2023). Embracing fine‐root system complexity in terrestrial ecosystem modelling. Global Change Biology.https://doi.org/10.1111/gcb.16659


As accelerated empirical advances in the last two decades establish clearly functional differentiation conferred by the hierarchical structure of fine-root orders and associations with mycorrhizal fungi, a need emerges to embrace this complexity to bridge the data-model gap in still extremely uncertain models. Here, we propose a 3-pool structure comprising Transport and Absorptive fine roots with Mycorrhizal fungi (TAM) to model vertically resolved fine-root systems across organizational and spatial-temporal scales. Emerging from a conceptual shift away from arbitrary homogenization, TAM builds upon theoretical and empirical foundations as an effective and efficient approximation that balance realism and simplicity.


TAM

Proof-of-concept study making the case for TAM with the simple_ELM. NOTE: check out the branch rootcomplexity.

data/

A series of Jupyter Notebooks written in Python but with source data accessible at Zenodo.

figures/

A few figures around TAM.

UQ/

Performed with UQTk (v3.0.2;https://github.com/sandialabs/UQTk) under Python(2.7.5), cmake(3.11.0), and gcc(6.3.0)

Publication/

A PDF copy of the manuscript published in Global Change Biology.

ELM-TAM

An implementation of TAM in E3SM Land Model--ELM. See ELM-TAM/README.md for detailed documentation.

Owner

  • Name: Bin Wang
  • Login: bioatmosphere
  • Kind: user
  • Location: Oak Ridge

Studying biosphere-atmosphere interactions with interwoven theory- and data-driven approaches

GitHub Events

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bioatmosphere w****u@g****m 22
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