Seasonal and annual variations in soil respiration in a cool-temperate deciduous broad-leaved forest in Japan

Mo, Wenhong; Lee, Mi‐Sun; Uchida, Masaki; Inatomi, Motoko; Saigusa, Nobuko; Mariko, Shigeru; Koizumi, Hiroshi

doi:10.1016/j.agrformet.2005.08.015

Cited by 151 publications

(143 citation statements)

References 24 publications

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“…3), which is consistent with a growing body of evidence that respiration continues beneath snow (Sommerfeld et al, 1993;Zimov et al, 1996;Jones et al, 1999;Mariko et al, 2000;McDowell et al, 2000;Grogan et al, 2001;Grogan and Jonasson, 2005;Mo et al, 2005;Monson et al, 2006aMonson et al, , 2006bLarsen et al, 2007;Liptzin et al, 2009). Measured rates of ecosystem respiration under snow were between 0.2 and 0.9 mmol CO 2 m 22 s…”

Section: Ecosystem Respiration Beneath Snowsupporting

confidence: 66%

“…The percentage of annual flux during the snow-covered season varies among studies from as little as 10-15% in cool-temperate deciduous forests in Japan (Mariko et al, 2000;Mo et al, 2005) and coniferous subalpine forest in Austria (Schindlbacher et al, 2007), to as much as 50% in tundra forest in Russia (Zimov et al, 1996). These trends among sites in the quantitative significance of respiration beneath snow suggest that the length of the snowcovered season would appear to be one of the main determinants of the percentage of annual flux during the snow-covered season.…”

Section: Introductionmentioning

confidence: 99%

“…In alpine and subalpine ecosystems of the northern hemisphere, under-snow respiration is commonly 10-20% of annual respiration (Brooks et al, 1996(Brooks et al, , 1997Mariko et al, 2000;McDowell et al, 2000;Mo et al, 2005;Monson et al, 2006a;Schindlbacher et al, 2007), but may be as high as 30% (subalpine meadow in Colorado [Liptzin et al, 2009]), or even 50% (tundra forest in Russia [Zimov et al, 1996]). In the present study, under-snow ecosystem respiration was estimated to be 4.1-4.3% of annual ecosystem respiration using a model with two temperature response functions (Table 2) or 5.9-7.1% using one temperature response function (data not shown).…”

mentioning

confidence: 99%

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Ecosystem Respiration in a Seasonally Snow-Covered Subalpine Grassland

Warren

Taranto

2011

Arctic, Antarctic, and Alpine Research

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Section: Ecosystem Respiration Beneath Snowsupporting

confidence: 66%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Ecosystem Respiration in a Seasonally Snow-Covered Subalpine Grassland

Warren

Taranto

2011

Arctic, Antarctic, and Alpine Research

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“…The interannual variations of soil CO 2 efflux in forest ecosystem were mostly attributed to differences in soil moisture during summer, since soil moisture in summer months had a much higher influence than in winter. Mo et al (2005) suggested that in summer R s is more influenced by W s than by T s , because fluctuations in temperature are smaller.…”

Section: Seasonal and Interannual Variations In R Smentioning

confidence: 99%

“…Moreover, Curiel Yuste et al (2004) in a case study in Belgium reported that the maximum Q 10 value was found in winter, followed by an intermediate value in autumn, and finally the smallest value in summer. Mo et al (2005), studying a cool-temperate deciduous broadleaved forest in Japan, observed the smallest Q 10 in summer. A study by Lloyd and Taylor (1994) also indicated that Q 10 was smallest in cold weather conditions.…”

Section: Linear Equation Nonlinear Equationmentioning

confidence: 99%

Response of soil respiration to temperature and soil moisture: Effects of different vegetation types on a small scale in the eastern Loess Plateau of China

Yan

et al. 2013

Plant Biosystems - An International Journal Dealing with all As

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Soil respiration is affected by vegetation and environmental conditions. The purpose of this study was to investigate the effect of vegetation type on soil respiration, temperature and water content, and their correlations on a small scale. We measured soil respiration rate (R s ) over a 3-year period at biweekly intervals in three plots in the eastern Loess Plateau of China, with the same soil texture but different vegetation types: pine forest, grassland, and shrub land. Simultaneously, soil temperature (T s ) at 10 cm depth and soil water content (W s ) within 10 cm depth were measured. The seasonal course of R s and T s showed a similar temporal variation in the three plots, with higher values in summer and autumn and lower values in winter and spring. No significant differences (P . 0.05) were found between plots, except for W s . The mean cumulative release of CO 2 efflux from March to December was 962.5, 1027.5, and 1166.5 g C m 22 a 21 for plots 1, 2, and 3, respectively, with no significant difference between plots. The fitted exponential equations of R s versus T s from the 3-year data-set were significant (P , 0.05) with an R 2 of 0.72, 0.64, and 0.72 for plots 1, 2, and 3, respectively. The calculated Q 10 from the parameters of the fitted equation was 3.57, 3.52, and 3.61, and the R 10 was 2.36, 2.03, and 2.37 mmol CO 2 m 22 s 21 for plots 1, 2, and 3, respectively. Compared with the T s , the correlations between R s and W s were not significant for the three plots. However, if the T s was above 108C, then their correlation was significant, and W s had an impact on R s . Four combined regression equations including two variables of T s and W s could be well established to model correlations between R s and both T s and W s . Our study demonstrated that the exponential and power model fitted best and no significant different correlations of combined equations existed between the three plots. These results show that vegetation type had little impact on R s , T s , W s , and their correlations, as well as on related parameters such as Q 10 and R 10 . Therefore, while doing R s research in a horizontal patchy vegetation conditions on a small area, the sampling location of measurements should focus on vertical dominant vegetation and ignore patch vegetation so as to reduce field work load.

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Non‐growing‐season soil respiration is controlled by freezing and thawing processes in the summer monsoon‐dominated Tibetan alpine grassland

Wang

Liu

Chung

et al. 2014

Global Biogeochemical Cycles

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The Tibetan alpine grasslands, sharing many features with arctic tundra ecosystems, have a unique non-growing-season climate that is usually dry and without persistent snow cover. Pronounced winter warming recently observed in this ecosystem may significantly alter the non-growing-season carbon cycle processes such as soil respiration (R s ), but detailed measurements to assess the patterns, drivers of, and potential feedbacks on R s have not been made yet. We conducted a 4 year study on R s using a unique R s measuring system, composed of an automated soil CO 2 flux sampling system and a custom-made container, to facilitate measurements in this extreme environment. We found that in the nongrowing season, (1) cumulative R s was 82-89 g C m À2 , accounting for 11.8-13.2% of the annual total R s ; (2) surface soil freezing controlled the diurnal pattern of R s and bulk soil freezing induced lower reference respiration rate (R 0 ) and temperature sensitivity (Q 10 ) than those in the growing season (0.40-0.53 versus 0.84-1.32 μmol CO 2 m À2 s À1 for R 0 and 2.5-2.9 versus 2.9-5.6 for Q 10 ); and (3) the intraannual variation in cumulative R s was controlled by accumulated surface soil temperature. We found that in the summer monsoon-dominated Tibetan alpine grassland, surface soil freezing, bulk soil freezing, and accumulated surface soil temperature are the day-, season-, and year-scale drivers of the non-growing-season R s , respectively. Our results suggest that warmer winters can trigger carbon loss from this ecosystem because of higher Q 10 of thawed than frozen soils.

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Seasonal and annual variations in soil respiration in a cool-temperate deciduous broad-leaved forest in Japan

Cited by 151 publications

References 24 publications

Ecosystem Respiration in a Seasonally Snow-Covered Subalpine Grassland

Ecosystem Respiration in a Seasonally Snow-Covered Subalpine Grassland

Response of soil respiration to temperature and soil moisture: Effects of different vegetation types on a small scale in the eastern Loess Plateau of China

Non‐growing‐season soil respiration is controlled by freezing and thawing processes in the summer monsoon‐dominated Tibetan alpine grassland

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