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231225s2021 xx |||||o 00| ||eng c |
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|a 10.1111/gcb.15795
|2 doi
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|a pubmed24n1092.xml
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|a (DE-627)NLM327878134
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|a (NLM)34241937
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
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|a Jian, Jinshi
|e verfasserin
|4 aut
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| 245 |
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|a Leveraging observed soil heterotrophic respiration fluxes as a novel constraint on global-scale models
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|c 2021
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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 20.10.2021
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|a Date Revised 20.10.2021
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a © 2021 John Wiley & Sons Ltd.
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|a Microbially explicit models may improve understanding and projections of carbon dynamics in response to future climate change, but their fidelity in simulating global-scale soil heterotrophic respiration (RH ), a stringent test for soil biogeochemical models, has never been evaluated. We used statistical global RH products, as well as 7821 daily site-scale RH measurements, to evaluate the spatiotemporal performance of one first-order decay model (CASA-CNP) and two microbially explicit biogeochemical models (CORPSE and MIMICS) that were forced by two different input datasets. CORPSE and MIMICS did not provide any measurable performance improvement; instead, the models were highly sensitive to the input data used to drive them. Spatial variability in RH fluxes was generally well simulated except in the northern middle latitudes (~50°N) and arid regions; models captured the seasonal variability of RH well, but showed more divergence in tropic and arctic regions. Our results demonstrate that the next generation of biogeochemical models shows promise but also needs to be improved for realistic spatiotemporal variability of RH . Finally, we emphasize the importance of net primary production, soil moisture, and soil temperature inputs, and that jointly evaluating soil models for their spatial (global scale) and temporal (site scale) performance provides crucial benchmarks for improving biogeochemical models
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|a Journal Article
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|a CASACNP
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|a CORPSE
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|a MIMICS
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|a benchmarking
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|a heterotrophic respiration
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| 650 |
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|a soil organic carbon models
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| 650 |
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|a Soil
|2 NLM
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|a Carbon
|2 NLM
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|a 7440-44-0
|2 NLM
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|a Bond-Lamberty, Ben
|e verfasserin
|4 aut
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|a Hao, Dalei
|e verfasserin
|4 aut
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| 700 |
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|a Sulman, Benjamin N
|e verfasserin
|4 aut
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| 700 |
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|a Patel, Kaizad F
|e verfasserin
|4 aut
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| 700 |
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|a Zheng, Jianqiu
|e verfasserin
|4 aut
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| 700 |
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|a Dorheim, Kalyn
|e verfasserin
|4 aut
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| 700 |
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|a Pennington, Stephanie C
|e verfasserin
|4 aut
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1 |
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|a Hartman, Melannie D
|e verfasserin
|4 aut
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|a Warner, Dan
|e verfasserin
|4 aut
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|a Wieder, William R
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Global change biology
|d 1999
|g 27(2021), 20 vom: 20. Okt., Seite 5392-5403
|w (DE-627)NLM098239996
|x 1365-2486
|7 nnns
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| 773 |
1 |
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|g volume:27
|g year:2021
|g number:20
|g day:20
|g month:10
|g pages:5392-5403
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|u http://dx.doi.org/10.1111/gcb.15795
|3 Volltext
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