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

Autor: Jian J; State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling, China.; Pacific Northwest National Laboratory, Joint Global Change Research Institute at the University of Maryland-College Park, College Park, MD, USA., Bond-Lamberty B; Pacific Northwest National Laboratory, Joint Global Change Research Institute at the University of Maryland-College Park, College Park, MD, USA., Hao D; Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USA., Sulman BN; Climate Change Science Institute and Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA., Patel KF; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA., Zheng J; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA., Dorheim K; Pacific Northwest National Laboratory, Joint Global Change Research Institute at the University of Maryland-College Park, College Park, MD, USA., Pennington SC; Pacific Northwest National Laboratory, Joint Global Change Research Institute at the University of Maryland-College Park, College Park, MD, USA., Hartman MD; Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO, USA.; Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO, USA., Warner D; Delaware Geological Survey, University of Delaware, Newark, DE, USA., Wieder WR; Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO, USA.; Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO, USA.
Jazyk: angličtina
Zdroj: Global change biology [Glob Chang Biol] 2021 Oct; Vol. 27 (20), pp. 5392-5403. Date of Electronic Publication: 2021 Jul 20.
DOI: 10.1111/gcb.15795
Abstrakt: 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 (~50°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.
(© 2021 John Wiley & Sons Ltd.)
Databáze: MEDLINE
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