Leveraging observed soil heterotrophic respiration fluxes as a novel constraint on global‐scale models

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 (R-H), a stringent test for soil biogeochemical models, has never been evaluated. We used statis...

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Published in:Global Change Biology
Other Authors: Jian, Jinshi (author), Bond‐Lamberty, Ben (author), Hao, Dalei (author), Sulman, Benjamin N. (author), Patel, Kaizad F. (author), Zheng, Jianqiu (author), Dorheim, Kalyn (author), Pennington, Stephanie C. (author), Hartman, Melannie D. (author), Warner, Dan (author), Wieder, William R. (author)
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Online Access:https://doi.org/10.1111/gcb.15795
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spelling ftncar:oai:drupal-site.org:articles_24716 2024-04-28T08:10:52+00:00 Leveraging observed soil heterotrophic respiration fluxes as a novel constraint on global‐scale models Jian, Jinshi (author) Bond‐Lamberty, Ben (author) Hao, Dalei (author) Sulman, Benjamin N. (author) Patel, Kaizad F. (author) Zheng, Jianqiu (author) Dorheim, Kalyn (author) Pennington, Stephanie C. (author) Hartman, Melannie D. (author) Warner, Dan (author) Wieder, William R. (author) 2021-10 https://doi.org/10.1111/gcb.15795 en eng Global Change Biology--Glob Change Biol--1354-1013--1365-2486 articles:24716 doi:10.1111/gcb.15795 ark:/85065/d72n55qp Copyright 2021 American Geophysical Union. article Text 2021 ftncar https://doi.org/10.1111/gcb.15795 2024-04-04T17:35:13Z 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 (R-H), a stringent test for soil biogeochemical models, has never been evaluated. We used statistical global R-H products, as well as 7821 daily site-scale R-H 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 R-H fluxes was generally well simulated except in the northern middle latitudes (similar to 50 degrees N) and arid regions; models captured the seasonal variability of R-H 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 R-H. 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. Article in Journal/Newspaper Arctic Climate change OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) Global Change Biology 27 20 5392 5403
institution Open Polar
collection OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research)
op_collection_id ftncar
language English
description 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 (R-H), a stringent test for soil biogeochemical models, has never been evaluated. We used statistical global R-H products, as well as 7821 daily site-scale R-H 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 R-H fluxes was generally well simulated except in the northern middle latitudes (similar to 50 degrees N) and arid regions; models captured the seasonal variability of R-H 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 R-H. 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.
author2 Jian, Jinshi (author)
Bond‐Lamberty, Ben (author)
Hao, Dalei (author)
Sulman, Benjamin N. (author)
Patel, Kaizad F. (author)
Zheng, Jianqiu (author)
Dorheim, Kalyn (author)
Pennington, Stephanie C. (author)
Hartman, Melannie D. (author)
Warner, Dan (author)
Wieder, William R. (author)
format Article in Journal/Newspaper
title Leveraging observed soil heterotrophic respiration fluxes as a novel constraint on global‐scale models
spellingShingle Leveraging observed soil heterotrophic respiration fluxes as a novel constraint on global‐scale models
title_short Leveraging observed soil heterotrophic respiration fluxes as a novel constraint on global‐scale models
title_full Leveraging observed soil heterotrophic respiration fluxes as a novel constraint on global‐scale models
title_fullStr Leveraging observed soil heterotrophic respiration fluxes as a novel constraint on global‐scale models
title_full_unstemmed Leveraging observed soil heterotrophic respiration fluxes as a novel constraint on global‐scale models
title_sort leveraging observed soil heterotrophic respiration fluxes as a novel constraint on global‐scale models
publishDate 2021
url https://doi.org/10.1111/gcb.15795
genre Arctic
Climate change
genre_facet Arctic
Climate change
op_relation Global Change Biology--Glob Change Biol--1354-1013--1365-2486
articles:24716
doi:10.1111/gcb.15795
ark:/85065/d72n55qp
op_rights Copyright 2021 American Geophysical Union.
op_doi https://doi.org/10.1111/gcb.15795
container_title Global Change Biology
container_volume 27
container_issue 20
container_start_page 5392
op_container_end_page 5403
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