Quantifying and reducing uncertainties in estimated soil CO2 fluxes with hierarchical data-model integration-Reference-Cited by-同舟云学术

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Quantifying and reducing uncertainties in estimated soil CO2 fluxes with hierarchical data-model integration

Published:2016-12 Issue:12 Volume:121 Page:2935-2948
ISSN:2169-8953
Container-title:Journal of Geophysical Research: Biogeosciences
language:en
Short-container-title:J. Geophys. Res. Biogeosci.

Author:

Ogle Kiona¹,Ryan Edmund²,Dijkstra Feike A.³,Pendall Elise⁴^ORCID

Affiliation:

1. School of Informatics, Computing and Cyber Systems; Northern Arizona University; Flagstaff Arizona USA

2. Lancaster Environment Center; Lancaster University; Lancaster UK

3. Centre for Carbon, Water and Food, School of Life and Environmental Sciences; The University of Sydney; Sydney New South Wales Australia

4. Hawkesbury Institute for the Environment; Western Sydney University; Penrith New South Wales Australia

Funder

U.S. Department of Energy's Office of Science (BER)

Publisher

American Geophysical Union (AGU)

Subject

Paleontology,Atmospheric Science,Soil Science,Water Science and Technology,Ecology,Aquatic Science,Forestry

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/2016JG003385/fullpdf

Reference35 articles.

1. Temperature-associated increases in the global soil respiration record;Bond-Lamberty;Nature,2010

2. Performance characteristics of an area distributed free air carbon dioxide enrichment (FACE) system;Bunce;Agric. For. Meteorol.,2011

3. An Introduction to Environmental Biophysics

4. Minimizing artifacts and biases in chamber-based measurements of soil respiration;Davidson;Agric. For. Meteorol.,2002

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1. Investigating Thaw and Plant Productivity Constraints on Old Soil Carbon Respiration From Permafrost;Journal of Geophysical Research: Biogeosciences;2021-06

2. Biotic soil-plant interaction processes explain most of hysteretic soil CO2 efflux response to temperature in cross-factorial mesocosm experiment;Scientific Reports;2020-01-22

3. Bayesian inference and predictive performance of soil respiration models in the presence of model discrepancy;Geoscientific Model Development;2019-05-23

4. Modeling soil CO<sub>2</sub> production and transport with dynamic source and diffusion terms: testing the steady-state assumption using DETECT v1.0;Geoscientific Model Development;2018-05-28

5. Temporal Coupling of Subsurface and Surface Soil CO2Fluxes: Insights From a Nonsteady State Model and Cross-Wavelet Coherence Analysis;Journal of Geophysical Research: Biogeosciences;2018-04

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