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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Online Access: | https://doi.org/10.1111/gcb.15795 |
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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 |
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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 |
_version_ |
1797578549540945920 |