Arid
DOI10.1111/gcb.15795
Leveraging observed soil heterotrophic respiration fluxes as a novel constraint on global-scale models
Jian, Jinshi; Bond-Lamberty, Ben; Hao, Dalei; Sulman, Benjamin N.; Patel, Kaizad F.; Zheng, Jianqiu; Dorheim, Kalyn; Pennington, Stephanie C.; Hartman, Melannie D.; Warner, Dan; Wieder, William R.
通讯作者Jian, JS (corresponding author), Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China.
来源期刊GLOBAL CHANGE BIOLOGY
ISSN1354-1013
EISSN1365-2486
出版年2021
卷号27期号:20页码:5392-5403
英文摘要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.
英文关键词benchmarking CASACNP CORPSE heterotrophic respiration MIMICS soil organic carbon models
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:000674867200001
WOS关键词EARTH SYSTEM ; CARBON-CYCLE ; UNCERTAINTY ; TEMPERATURE ; SATELLITE ; EMISSIONS ; COMMUNITY ; DATABASE ; CLIMATE ; SITES
WOS类目Biodiversity Conservation ; Ecology ; Environmental Sciences
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
来源机构西北农林科技大学 ; Colorado State University
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/363456
作者单位[Jian, Jinshi] Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China; [Jian, Jinshi; Bond-Lamberty, Ben; Dorheim, Kalyn; Pennington, Stephanie C.] Univ Maryland, Pacific Northwest Natl Lab, Joint Global Change Res Inst, College Pk, MD 20742 USA; [Hao, Dalei] Pacific Northwest Natl Lab, Atmospher Sci & Global Change Div, Richland, WA 99352 USA; [Sulman, Benjamin N.] Oak Ridge Natl Lab, Climate Change Sci Inst, Oak Ridge, TN USA; [Sulman, Benjamin N.] Oak Ridge Natl Lab, Environm Sci Div, Oak Ridge, TN USA; [Patel, Kaizad F.; Zheng, Jianqiu] Pacific Northwest Natl Lab, Biol Sci Div, Richland, WA 99352 USA; [Hartman, Melannie D.] Colorado State Univ, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA; [Hartman, Melannie D.; Wieder, William R.] Natl Ctr Atmospher Res, Climate & Global Dynam Lab, POB 3000, Boulder, CO 80307 USA; [Warner, Dan] Univ Delaware, Delaware Geol Survey, Newark, DE USA; [Wieder, William R.] Univ Colorado, Inst Arctic & Alpine Res,...
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Jian, Jinshi,Bond-Lamberty, Ben,Hao, Dalei,et al. Leveraging observed soil heterotrophic respiration fluxes as a novel constraint on global-scale models[J]. 西北农林科技大学, Colorado State University,2021,27(20):5392-5403.
APA Jian, Jinshi.,Bond-Lamberty, Ben.,Hao, Dalei.,Sulman, Benjamin N..,Patel, Kaizad F..,...&Wieder, William R..(2021).Leveraging observed soil heterotrophic respiration fluxes as a novel constraint on global-scale models.GLOBAL CHANGE BIOLOGY,27(20),5392-5403.
MLA Jian, Jinshi,et al."Leveraging observed soil heterotrophic respiration fluxes as a novel constraint on global-scale models".GLOBAL CHANGE BIOLOGY 27.20(2021):5392-5403.
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