edu.ucar.opensky::articles:24716 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T23:02:28.652271 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d72n55qp Leveraging observed soil heterotrophic respiration fluxes as a novel constraint on global-scale models 2021-10-01T00:00:00Z publication https://n2t.org/ark:/85065/d72n55qp https://doi.org/10.1111/gcb.15795 Jian, J. author Bond-Lamberty, B. author Hao, D. author Sulman, B. N. author Patel, K. F. author Zheng, J. author Dorheim, K. author Pennington, S. C. author Hartman, Melannie author Warner, D. author Wieder, William author UCAR/NCAR - Library publisher 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. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright 2021 American Geophysical Union. None eng geoscientificInformation