Embracing fine-root system complexity in terrestrial ecosystem modeling

© 2023 John Wiley & Sons Ltd.

Bibliographische Detailangaben
Veröffentlicht in:Global change biology. - 1999. - 29(2023), 11 vom: 09. Juni, Seite 2871-2885
1. Verfasser: Wang, Bin (VerfasserIn)
Weitere Verfasser: McCormack, Michael Luke, Ricciuto, Daniel M, Yang, Xiaojuan, Iversen, Colleen M
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2023
Zugriff auf das übergeordnete Werk:Global change biology
Schlagworte:Journal Article TAM complexity demography ecosystem model fine root mycorrhiza partitioning phenology Soil
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500 |a Citation Status MEDLINE 
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520 |a Projecting the dynamics and functioning of the biosphere requires a holistic consideration of whole-ecosystem processes. However, biases toward leaf, canopy, and soil modeling since the 1970s have constantly left fine-root systems being rudimentarily treated. 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 three-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 balances realism and simplicity. A proof-of-concept demonstration of TAM in a big-leaf model both conservatively and radically shows robust impacts of differentiation within fine-root systems on simulating carbon cycling in temperate forests. Theoretical and quantitative support warrants exploiting its rich potentials across ecosystems and models to confront uncertainties and challenges for a predictive understanding of the biosphere. Echoing a broad trend of embracing ecological complexity in integrative ecosystem modeling, TAM may offer a consistent framework where modelers and empiricists can work together toward this grand goal 
650 4 |a Journal Article 
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650 4 |a complexity 
650 4 |a demography 
650 4 |a ecosystem model 
650 4 |a fine root 
650 4 |a mycorrhiza 
650 4 |a partitioning 
650 4 |a phenology 
650 7 |a Soil  |2 NLM 
700 1 |a McCormack, Michael Luke  |e verfasserin  |4 aut 
700 1 |a Ricciuto, Daniel M  |e verfasserin  |4 aut 
700 1 |a Yang, Xiaojuan  |e verfasserin  |4 aut 
700 1 |a Iversen, Colleen M  |e verfasserin  |4 aut 
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773 1 8 |g volume:29  |g year:2023  |g number:11  |g day:09  |g month:06  |g pages:2871-2885 
856 4 0 |u http://dx.doi.org/10.1111/gcb.16659  |3 Volltext 
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