Effect of Bacterial and Fungal Abundance in Soil on the Emission of Carbon Dioxide from Soil in Semi-arid Climate in India

Kant, Rashmi; Ghosh, Chaitali; Singh, L.P.; Tripathi, Neelam

doi:10.1007/978-3-540-95991-5_16

Cited by 2 publications

(4 citation statements)

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“…The abundant vegetation at Riverine zone [20] improved the moisture and organic matter of the soil that influenced the microbial, combined bacterial and fungal, population [23,24]. Similarly, the microbial population also varied along the soil depth and most organisms were concentrated near the root systems in the soil.…”

Section: Discussionmentioning

confidence: 99%

“…However, the effects of day and night changes on the moisture content of soil might be less where the ground was covered with vegetation as no direct sunlight reaches the soil surface. Higher night time respiration from the top-soil in the forest area of Hilly zone and the plantation area of Riverine zone probably occurred because of decrease in soil temperature during the night [20] which favoured the growth and activities of the organisms in the soil. In general, high temperature instigates the respiration rate [21] but high temperature combined with low soil moisture reduces the soil respiration rate [22].…”

Section: Discussionmentioning

confidence: 99%

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Asymmetric Variation in Soil Carbon Emission in Sub-Tropics

Kant¹,

Ghosh²

2012

ACS

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Carbon dioxide emission from soil, known as soil respiration, is one of the major sources of the atmospheric carbon. Understanding the relationship between emission rate and the factors associated with the emission process is important in global carbon emission management. The present study investigated soil respiration at three ecologically diverse locations in northern India. CO 2 emission was measured in-situ by modified alkali absorption method at three different depths, top-soil (0 cm -2 cm depth), mid-soil (20 cm depth) and deep-soil (40 cm depth) at each location. Rate of carbon emission from soil varied with location and time. The rate was higher at Riverine Zone (RZ) which had high soil moisture content and profuse ground vegetation compared to Hilly Zone (HZ) containing dry soil and scarce vegetation. The emission rate was also greater in grassland than the plantation area. Rate of carbon emission from soil was heterogeneous along different depths below the ground. Diel variation in emission rate was greater at HZ compared to RZ. Higher microbial population in soil was detected in RZ than HZ. However, the bacterial count out-numbered the fungal count in soils at most places. The study indicates a positive relationship between soil respiration rate and microbial abundance. The fungal population was strongly correlated with CO 2 emission rate.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Asymmetric Variation in Soil Carbon Emission in Sub-Tropics

Kant¹,

Ghosh²

2012

ACS

Self Cite

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“…Soils are one of the largest reservoirs of terrestrial carbon at the Earth's surface and thus represent a significant potential source of CO 2 to the atmosphere via heterotrophic and autotrophic respiration (Batjes, ; Bellamy et al, ). Previous studies have shown that a wide variety of parameters can influence the rate of soil carbon respiration, including temperature (Lloyd & Taylor, ; Kirschbaum, ; Rey et al, ; Pekka Vanhala et al, ; Niklińska & Klimek, ; Lellei‐Kovács et al, ), microbial community composition (Monson et al, ; Cleveland et al, ; Y. Li et al, ; P. Vanhala et al, ; Kant et al, ), pH (Bååth & Anderson, ; Pekka Vanhala, ), soil organic carbon composition (Cross & Sohi, ; Sanaullah et al, ), soil texture (X. Li et al, ), and soil moisture (Howard & Howard, ; Jia et al, ; Orchard & Cook, ; Wagle & Kakani, ).…”

Section: Introductionmentioning

confidence: 99%

“…Li et al, 2006;P. Vanhala et al, 2005;Kant et al, 2011), pH (Bååth & Anderson, 2003;Pekka Vanhala, 2002), soil organic carbon composition (Cross & Sohi, 2011;Sanaullah et al, 2012), soil texture (X. Li et al, 2015), and soil moisture (Howard & Howard, 1993;Jia et al, 2007;Orchard & Cook, 1983;Wagle & Kakani, 2014).…”

Section: Introductionmentioning

confidence: 99%

Modeling Transient Soil Moisture Limitations on Microbial Carbon Respiration

et al. 2019

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Soil microorganisms are known to survive periods of aridity and to recover rapidly after wetting events, with the ability to transition between a dormant state in dry conditions and an active state in wet conditions. Though this dynamic behavior has been previously incorporated into soil carbon respiration modeling frameworks, a direct comparison between this active‐dormant transition mechanism and a more simplified first‐order model has yet to be made. Here, we demonstrate the necessary extent of model complexity needed to reproduce transient carbon respiration rates obtained from a set of soil incubation experiments implemented over a range of soil depths and time intervals. Two approaches are tested, one uses simplified first‐order kinetics, whereas the other employs a transition between active and dormant biomass. The performance of each model is evaluated using an Akaike Information Criterion (AIC) based on the accuracy with which they reproduce an experimental dataset consisting of two sets of time series soil incubations collected across a range of time and depth resolutions. Based on the AIC evaluation and model‐data comparison, we conclude that a dormancy‐enabled model featuring two distinct microbial strategists performs best for the majority of the soil profile (above 108 cm) for both high and low depth resolution and sampling frequency, despite the added parameters required. In contrast, the first‐order model achieves better AIC scores when simulating our deepest soils (112–165 cm), where moisture fluctuations are expected to be less prevalent. These results guide how and where we choose to apply more cost intensive models.

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Effect of Bacterial and Fungal Abundance in Soil on the Emission of Carbon Dioxide from Soil in Semi-arid Climate in India

Cited by 2 publications

References 28 publications

Asymmetric Variation in Soil Carbon Emission in Sub-Tropics

Asymmetric Variation in Soil Carbon Emission in Sub-Tropics

Modeling Transient Soil Moisture Limitations on Microbial Carbon Respiration

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