A comparison of linear conventional and nonlinear microbial models for simulating pulse dynamics of soil heterotrophic respiration in a semi‐arid grassland

Author(s):  
Jian Zhou ◽  
Shiping Chen ◽  
Liming Yan ◽  
Jing Wang ◽  
Ming Jiang ◽  
...  
2018 ◽  
Vol 9 (1) ◽  
Author(s):  
Zhifeng Yan ◽  
Ben Bond-Lamberty ◽  
Katherine E. Todd-Brown ◽  
Vanessa L. Bailey ◽  
SiLiang Li ◽  
...  

MethodsX ◽  
2018 ◽  
Vol 5 ◽  
pp. 834-840 ◽  
Author(s):  
Louis-Pierre Comeau ◽  
Derrick Y.F. Lai ◽  
Jane Jinglan Cui ◽  
Jodie Hartill

2013 ◽  
Vol 180 ◽  
pp. 102-111 ◽  
Author(s):  
Pauline Buysse ◽  
Anne-Caroline Schnepf-Kiss ◽  
Monique Carnol ◽  
Sandrine Malchair ◽  
Christian Roisin ◽  
...  

2020 ◽  
Vol 17 (5) ◽  
pp. 1293-1308 ◽  
Author(s):  
Samantha J. Basile ◽  
Xin Lin ◽  
William R. Wieder ◽  
Melannie D. Hartman ◽  
Gretchen Keppel-Aleks

Abstract. Spatial and temporal variations in atmospheric carbon dioxide (CO2) reflect large-scale net carbon exchange between the atmosphere and terrestrial ecosystems. Soil heterotrophic respiration (HR) is one of the component fluxes that drive this net exchange, but, given observational limitations, it is difficult to quantify this flux or to evaluate global-scale model simulations thereof. Here, we show that atmospheric CO2 can provide a useful constraint on large-scale patterns of soil heterotrophic respiration. We analyze three soil model configurations (CASA-CNP, MIMICS, and CORPSE) that simulate HR fluxes within a biogeochemical test bed that provides each model with identical net primary productivity (NPP) and climate forcings. We subsequently quantify the effects of variation in simulated terrestrial carbon fluxes (NPP and HR from the three soil test-bed models) on atmospheric CO2 distributions using a three-dimensional atmospheric tracer transport model. Our results show that atmospheric CO2 observations can be used to identify deficiencies in model simulations of the seasonal cycle and interannual variability in HR relative to NPP. In particular, the two models that explicitly simulated microbial processes (MIMICS and CORPSE) were more variable than observations at interannual timescales and showed a stronger-than-observed temperature sensitivity. Our results prompt future research directions to use atmospheric CO2, in combination with additional constraints on terrestrial productivity or soil carbon stocks, for evaluating HR fluxes.


2020 ◽  
Author(s):  
Mehdi Gharasoo ◽  
Linden Fairbairn ◽  
Fereidoun Rezanezhad ◽  
Philippe Van Cappellen

<p>Soil heterotrophic respiration has been considered as a key source of CO<sub>2</sub> flux into the atmosphere and thus plays an important role in global warming. Although the relationship between soil heterotrophic respiration and soil water content has been frequently studied both theoretically and experimentally, model development has thus far been empirically based. Empirical models are often limited to the specific condition of their case studies and cannot be used as a general platform for modeling. Moreover, it is difficult to extend the empirical models by theoretically defined affinities to any desired degree of accuracy. As a result, it is of high priority to develop process-based models that are able to describe the mechanisms behind this phenomenon with more deterministic terms.</p><p>Here we present a mechanistic, mathematically-driven model that is based on the common geometry of a pore in porous media. Assuming that the aerobic respiration of bacteria requires oxygen as an electron acceptor and dissolved organic carbon (DOC) as a substrate, the CO<sub>2</sub> fluxes are considered a function of the bioavailable fraction of both DOC and oxygen. In this modeling approach, the availability of oxygen is controlled by its penetration into the aquatic phase through the interface between air and water. DOC on the other hand is only available to a section of the soil that is in contact with water. As the water saturation in the pore changes, it dynamically and kinematically impacts these interfaces through which the mass transfer of nutrients occurs, and therefore the CO<sub>2</sub> fluxes are directly controlled by water content. We showcased the model applicability on several case studies and illustrated the model capability in simulating the observed microbial respiration rates versus the soil water contents. Furthermore, we showed the model potential to accept additional physically-motivated parameters in order to explain respiration rates in frozen soils or at different temperatures.</p>


2018 ◽  
Vol 248 ◽  
pp. 449-457 ◽  
Author(s):  
Chao Fang ◽  
Fengmin Li ◽  
Jiuying Pei ◽  
Jiao Ren ◽  
Yanhong Gong ◽  
...  

Geoderma ◽  
2008 ◽  
Vol 145 (1-2) ◽  
pp. 17-27 ◽  
Author(s):  
J. Bauer ◽  
M. Herbst ◽  
J.A. Huisman ◽  
L. Weihermüller ◽  
H. Vereecken

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