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231226s2023 xx |||||o 00| ||eng c |
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|a 10.1111/gcb.16659
|2 doi
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|a pubmed24n1178.xml
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|a (DE-627)NLM353673293
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|a (NLM)36861355
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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|a Wang, Bin
|e verfasserin
|4 aut
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|a Embracing fine-root system complexity in terrestrial ecosystem modeling
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|c 2023
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Completed 25.09.2023
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|a Date Revised 25.09.2023
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|a published: Print-Electronic
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|a CommentIn: Glob Chang Biol. 2023 Jun;29(11):2868-2870. - PMID 36971015
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|a Citation Status MEDLINE
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|a © 2023 John Wiley & Sons Ltd.
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|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
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|a Journal Article
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|a TAM
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|a complexity
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|a demography
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|a ecosystem model
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|a fine root
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|a mycorrhiza
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|a partitioning
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|a phenology
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|a Soil
|2 NLM
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1 |
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|a McCormack, Michael Luke
|e verfasserin
|4 aut
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|a Ricciuto, Daniel M
|e verfasserin
|4 aut
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1 |
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|a Yang, Xiaojuan
|e verfasserin
|4 aut
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|a Iversen, Colleen M
|e verfasserin
|4 aut
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773 |
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|i Enthalten in
|t Global change biology
|d 1999
|g 29(2023), 11 vom: 09. Juni, Seite 2871-2885
|w (DE-627)NLM098239996
|x 1365-2486
|7 nnns
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|g volume:29
|g year:2023
|g number:11
|g day:09
|g month:06
|g pages:2871-2885
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|u http://dx.doi.org/10.1111/gcb.16659
|3 Volltext
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