Environmental indicators for estimating the potential soil respiration rate in alpine zone

Moriyama, Akihiro; Yonemura, Seiichiro; Kawashima, Shuichi; Du, Mingyuan; Tang, Yanhong

doi:10.1016/j.ecolind.2013.03.032

Cited by 26 publications

(20 citation statements)

References 30 publications

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“…Soil temperature and soil moisture are expected to influence soil respiration by impacting microbial activity (Davidson and Janssens 2006;Moriyama et al 2013). However, no significant relationships between CO 2 efflux and soil moisture, or between CO 2 efflux and soil temperature, Fig.…”

Section: Impacts Of Clipping On Ecosystem Respirationmentioning

confidence: 99%

Spatial patterns of soil and ecosystem respiration regulated by biological and environmental variables along a precipitation gradient in semi‐arid grasslands in China

Liu

et al. 2016

Ecological Research

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Precipitation is a key environmental factor in determining ecosystem structure and function. Knowledge of how soil and ecosystem respiration responds to climate change (e.g., precipitation) and human activities (e.g., grazing or clipping) is crucial for assessing the impacts of climate change on terrestrial ecosystems and for improving model simulations and predictions of future global carbon (C) cycling in response to human activities. In this study, we examined the spatial patterns of soil and ecosystem respiration along a precipitation gradient from 167.7 to 398.1 mm in a semi-arid grassland. Our results showed that soil and ecosystem respiration increased linearly with increasing mean annual precipitation. The trends were similar to those of shoot biomass, litter and soil total C content along the precipitation gradient. Our results indicated that precipitation was the primary controlling factor in determining the spatial pattern of soil and ecosystem respiration in semi-arid grasslands in China. The linear/nonlinear relationships in this study describing the variations of the ecosystem carbon process with precipitation can be useful for model development, parameterization and validation at the regional scale to improve predictions of how carbon processes in grasslands respond to climate change, land use and grassland management.

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Section: Impacts Of Clipping On Ecosystem Respirationmentioning

confidence: 99%

Spatial patterns of soil and ecosystem respiration regulated by biological and environmental variables along a precipitation gradient in semi‐arid grasslands in China

Liu

et al. 2016

Ecological Research

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“…Soil respiration, as a key biological process of global carbon cycle, has received increasing attention, especially in the alpine meadow ecosystems with high soil organic carbon stocks (Wang et al 2002;Chen et al 2013;Moriyama et al 2013). Understanding the relationships between soil respiration activity (SRA) and soil microbial community is pivotal for soil respiration prediction and regulation through management.…”

Section: Introductionmentioning

confidence: 99%

16S rRNA-based bacterial community structure is a sensitive indicator of soil respiration activity

et al. 2015

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Purpose Understanding the relationships between soil respiration activity (SRA) and soil microbial community abundance and composition is pivotal for soil respiration prediction, modelling and management. This study aimed to assess value of the bacterial 16S ribosomal DNA (rDNA)-or ribosomal RNA (rRNA)-related indices (BRIs) in relation to SRA. Materials and methods Soil samples collected from a Tibetan alpine meadow were amended with different amounts of glutamate to establish a SRA gradient. Several BRIs including 16S rDNA copies, rRNA copies, the ratio of 16S rRNA copies to 16S rDNA copies and 16S rDNA-or rRNA-based community structure were analysed using real-time PCR or terminalrestriction fragment length polymorphism (T-RFLP). Results and discussion Except 16S rRNA copies and the ratio of 16S rRNA copies to 16S rDNA copies, all of the BRIs significantly correlated with the SRA. However, the 16S rRNAbased bacterial community structure explained 72.7 % of the SRA variations, which clearly outperformed all other BRIs.Conclusions The results imply that the 16S rRNA-based bacterial community structure provides a sensitive and robust BRI to support future studies on the relationships between SRA and microbial communities.

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“…This may be attributed to the shorter incubation period in our study 38 days compared with that used by Nakajima et al 2015 , which was equivalent to the whole FS. The Q 10 values obtained were within the ranges for various soil types e.g., Davidson and Janssens, 2006;Moriyama et al, 2013 . The soil CO 2 emission rates integrated over the whole incubation period increased with soil moisture Fig.…”

Section: Resultsmentioning

confidence: 67%

Comparison of fallow season CO<SUB>2</SUB> efflux from paddy soil estimated using laboratory incubation with eddy covariance-based flux

Yonemura

Ono

Ikawa

et al. 2017

J. Agric. Meteorol.

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To improve our understanding of the carbon dioxide CO 2 efflux dynamics in paddy fields during the drained fallto-spring fallow season, we conducted incubation experiments with paddy soil to determine the dependence of the soil CO 2 emission rate on temperature and moisture. The 37-day integrated CO 2 emission rate per unit soil weight was 1.45 μmol g 1 d 1 at a soil temperature of 15 C and a soil moisture content of 0.65 g g 1 . The temperature dependence of the soil CO 2 emission rate was expressed using the Arrhenius equation, but its activation energy was likely to be underestimated if the data obtained at a high temperature were included. Soil CO 2 emissions were linearly dependent on the soil moisture. We occasionally observed inverse relationships between the CO 2 efflux estimated using the incubation experiments and those determined using the eddy covariance method, which was probably due to the effects of CO 2 storage in the soil. However, when the data were averaged over a relatively long-time scale 10 15 days , the empirical model based on the incubation experiments successfully reproduced the soil CO 2 efflux determined by the eddy covariance method, probably because the long-time scale canceled the CO 2 storage effect.

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Environmental indicators for estimating the potential soil respiration rate in alpine zone

Cited by 26 publications

References 30 publications

Spatial patterns of soil and ecosystem respiration regulated by biological and environmental variables along a precipitation gradient in semi‐arid grasslands in China

Spatial patterns of soil and ecosystem respiration regulated by biological and environmental variables along a precipitation gradient in semi‐arid grasslands in China

16S rRNA-based bacterial community structure is a sensitive indicator of soil respiration activity

Comparison of fallow season CO<SUB>2</SUB> efflux from paddy soil estimated using laboratory incubation with eddy covariance-based flux

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