The moisture response of soil heterotrophic respiration: interaction with soil properties

Moyano, Fernando; Vasilyeva, Nadezda; Bouckaert, Liesbeth; Cook, F. J.; Craine, Joseph M.; Yuste, Jorge Curiel; Don, Axel; Epron, Daniel; Formánek, Pavel; Franzluebbers, Alan J.; Ilstedt, Ulrik; Kätterer, Thomas; Orchard, Valerie A.; Reichstein, Markus; Rey, Ana; Ruamps, Léo; Subke, Jens‐Arne; Thomsen, Ingrid K.; Chenu, Claire

doi:10.5194/bg-9-1173-2012

Cited by 258 publications

(225 citation statements)

References 42 publications

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“…rhizosphere priming effect) and soil CO 2 efflux. Many lab incubation studies have shown that soil moisture dynamics can significantly affect CO 2 efflux from root-free soils (Borken and Matzner, 2009;Moyano et al, 2012). This study and two recent studies (Niklaus and Falloon, 2006;Dijkstra and Cheng, 2007b) provide further evidence that soil moisture content and dynamics exert significant control of rhizosphere priming effect and thus CO 2 efflux from soils under the presence of plants.…”

Section: Implications For the Responses Of Soil Co 2 Efflux To Moistusupporting

confidence: 50%

Impacts of drying–wetting cycles on rhizosphere respiration and soil organic matter decomposition

Zhu

Cheng

2013

Soil Biology and Biochemistry

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a b s t r a c tDryingewetting cycles influence both soil organic matter (SOM) decomposition and rhizosphere processes. Rhizosphere processes also affect SOM decomposition through rhizosphere priming. However, little is known about how dryingewetting cycles regulate SOM decomposition with rhizosphere priming, because most previous studies incubated root-free soils and omitted the rhizosphere effect. To investigate the effect of dryingewetting cycles on SOM decomposition in the presence of plants, we grew sunflower (Helianthus annuus) and soybean (Glycine max) in a sandy loam soil under the treatments of either constant moisture or 12 dryingewetting cycles, and used a continuous 13 C-labeling method to partition soil respiration into rhizosphere respiration and SOM decomposition. We found that compared to the constantly-moist treatment, the severe dryingewetting cycles in soils planted with sunflower significantly reduced shoot biomass (32%), root biomass (52%), rhizosphere respiration (29%), and SOM decomposition (22%), while the moderate dryingewetting cycles in soils planted with soybean did not significantly affect these variables. Moreover, SOM decomposition rates in the planted treatment subjected to constantly-moist or dryingewetting conditions were significantly higher compared with the constantly-moist unplanted treatment, indicating a positive rhizosphere priming effect under both soil moisture regimes. However, dryingewetting reduced the rhizosphere priming of sunflower (69% versus 33%) likely due to lower plant biomass and rhizodeposition, but produced similar rhizosphere priming of soybean (82% versus 85%). Overall, dryingewetting cycles significantly modulated rhizosphere respiration and SOM decomposition, with the magnitude depending on soil drying intensity and plant growth performance.Published by Elsevier Ltd.

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Section: Implications For the Responses Of Soil Co 2 Efflux To Moistusupporting

confidence: 50%

Impacts of drying–wetting cycles on rhizosphere respiration and soil organic matter decomposition

Zhu

Cheng

2013

Soil Biology and Biochemistry

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“…The parameters f moist, z and f temp, z are functions depending respectively on soil moisture and soil temperature at a given depth z and affecting the decomposition rate of HSOC. They correspond to the moisture equation from Moyano et al (2012) and to Eq. (3), respectively.…”

Section: General Description Of the Carbosaf Model 251 Organic Carbmentioning

confidence: 99%

“…Then, they normalized such linear models between 0 and 1 to apply these functions to classical first-order kinetics. All details are described in Moyano et al (2012). To save computing time, we calculated f moist, z only once using measured SOC stocks instead of using modeled SOC stocks and repeated the calculation at each time step.…”

Section: General Description Of the Carbosaf Model 251 Organic Carbmentioning

confidence: 99%

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High organic inputs explain shallow and deep SOC storage in a long-term agroforestry system – combining experimental and modeling approaches

et al. 2018

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Abstract. Agroforestry is an increasingly popular farming system enabling agricultural diversification and providing several ecosystem services. In agroforestry systems, soil organic carbon (SOC) stocks are generally increased, but it is difficult to disentangle the different factors responsible for this storage. Organic carbon (OC) inputs to the soil may be larger, but SOC decomposition rates may be modified owing to microclimate, physical protection, or priming effect from roots, especially at depth. We used an 18-year-old silvoarable system associating hybrid walnut trees (Juglans regia × nigra) and durum wheat (Triticum turgidum L. subsp. durum) and an adjacent agricultural control plot to quantify all OC inputs to the soil -leaf litter, tree fine root senescence, crop residues, and tree row herbaceous vegetation -and measured SOC stocks down to 2 m of depth at varying distances from the trees. We then proposed a model that simulates SOC dynamics in agroforestry accounting for both the whole soil profile and the lateral spatial heterogeneity. The model was calibrated to the control plot only.Measured OC inputs to soil were increased by about 40 % (+ 1.11 t C ha −1 yr −1 ) down to 2 m of depth in the agroforestry plot compared to the control, resulting in an additional SOC stock of 6.3 t C ha −1 down to 1 m of depth. However, most of the SOC storage occurred in the first 30 cm of soil and in the tree rows. The model was strongly validated, properly describing the measured SOC stocks and distribution with depth in agroforestry tree rows and alleys. It showed that the increased inputs of fresh biomass to soil explained the observed additional SOC storage in the agroforestry plot. Moreover, only a priming effect variant of the model was able to capture the depth distribution of SOC stocks, suggesting the priming effect as a possible mechanism driving deep SOC dynamics. This result questions the potential of soils to store large amounts of carbon, especially at depth. Deep-rooted trees modify OC inputs to soil, a process that deserves further study given its potential effects on SOC dynamics.

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“…Soil matric potentials vary over short scales due to the varying size of pores, with microbes concentrated at the interfaces between air and water. Decomposition rates of SOM may therefore be influenced by moisture content (Moyano et al, 2012), pore size and location within an aggregate (Killham et al, 1993) and also by temperature and substrate quality (Davidson and Janssens, 2006) and microbial properties (Li et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional soil organic matter distribution, accessibility and microbial respiration in macroaggregates using osmium staining and synchrotron X-ray computed tomography

Rawlins

Wragg

Reinhard

et al. 2016

SOIL

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Abstract. The spatial distribution and accessibility of organic matter (OM) to soil microbes in aggregatesdetermined by the fine-scale, 3-D distribution of OM, pores and mineral phases -may be an important control on the magnitude of soil heterotrophic respiration (SHR). Attempts to model SHR on fine scales requires data on the transition probabilities between adjacent pore space and soil OM, a measure of microbial accessibility to the latter. We used a combination of osmium staining and synchrotron X-ray computed tomography (CT) to determine the 3-D (voxel) distribution of these three phases (scale 6.6 µm) throughout nine aggregates taken from a single soil core (range of organic carbon (OC) concentrations: 4.2-7.7 %). Prior to the synchrotron analyses we had measured the magnitude of SHR for each aggregate over 24 h under controlled conditions (moisture content and temperature). We test the hypothesis that larger magnitudes of SHR will be observed in aggregates with (i) shorter length scales of OM variation (more aerobic microsites) and (ii) larger transition probabilities between OM and pore voxels.After scaling to their OC concentrations, there was a 6-fold variation in the magnitude of SHR for the nine aggregates. The distribution of pore diameters and tortuosity index values for pore branches was similar for each of the nine aggregates. The Pearson correlation between aggregate surface area (normalized by aggregate volume) and normalized headspace C gas concentration was both positive and reasonably large (r = 0.44), suggesting that the former may be a factor that influences SHR. The overall transition probabilities between OM and pore voxels were between 0.07 and 0.17, smaller than those used in previous simulation studies. We computed the length scales over which OM, pore and mineral phases vary within each aggregate using 3-D indicator variograms. The median range of models fitted to variograms of OM varied between 38 and 175 µm and was generally larger than the other two phases within each aggregate, but in general variogram models had ranges < 250 µm. There was no evidence to support the hypotheses concerning scales of variation in OM and magnitude of SHR; the linear correlation was 0.01. There was weak evidence to suggest a statistical relationship between voxel-based OM-pore transition probabilities and the magnitudes of aggregate SHR (r = 0.12). We discuss how our analyses could be extended and suggest improvements to the approach we used.

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The moisture response of soil heterotrophic respiration: interaction with soil properties

Cited by 258 publications

References 42 publications

Impacts of drying–wetting cycles on rhizosphere respiration and soil organic matter decomposition

Impacts of drying–wetting cycles on rhizosphere respiration and soil organic matter decomposition

High organic inputs explain shallow and deep SOC storage in a long-term agroforestry system – combining experimental and modeling approaches

Three-dimensional soil organic matter distribution, accessibility and microbial respiration in macroaggregates using osmium staining and synchrotron X-ray computed tomography

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