Seasonal variability of soil respiration in multiple ecosystems under the same physical–geographical environmental conditions in central Japan

Inoue, Tomoharu; Nagai, Shin; Inoue, Shota; Ozaki, Masahiro; Sakai, S.; Muraoka, Hiroyuki; Koizumi, Hiroshi

doi:10.1080/21580103.2012.672012

Cited by 7 publications

(7 citation statements)

References 39 publications

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“…Temporal change in R s is primarily controlled by T s in many temperate deciduous forests [6][7][8]; R s generally increases with an exponential increase in T s within the range 0-25 • C. In concurrence with these previous investigations, the present study showed a pattern of increasing R s with increasing T s (Figure 7).…”

Section: Effect Of Soil Temperature and Soil Water Content On Soil Resupporting

confidence: 79%

“…In October, diurnal W was higher in canopy areas than in gap areas because of the effect of rain a few days before the measurement day. , d), [8][9] October (e, f) and 29-30 October (g, h) 2014. Diurnal R s at C1 in September and early October could not be measured because of problems with automatic chamber closure.…”

Section: Diurnal Changes In Soil Temperature Soil Water Content Andmentioning

confidence: 99%

“…For evaluation of annual R s using equations, seasonal R s has often been estimated using only T s dependence as an exponential relationship in forests where W is not limiting (e.g., [6][7][8][43][44][45]). However, in forests where there is a drying period, R s has been estimated by the coupling of T s and W, although an empirical model using these variables has been unclear [3,31,[35][36][37][38][39].…”

Section: Estimation Of Soil Respiration In the Old-growth Forestmentioning

confidence: 99%

“…The diurnal variation in R s is explained by plant physiology, especially photosynthesis [1], and soil temperature (T s ) [5]. The seasonal variation in R s is primarily controlled by T s when the soil water content (W) is not limited, and the response of R s to T s is usually explained by an exponential (Q 10 ) relationship [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

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Spatial Upscaling of Soil Respiration under a Complex Canopy Structure in an Old‐Growth Deciduous Forest, Central Japan

Suchewaboripont

Ando

Yoshitake

et al. 2017

Forests

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Abstract:The structural complexity, especially canopy and gap structure, of old-growth forests affects the spatial variation of soil respiration (R s ). Without considering this variation, the upscaling of R s from field measurements to the forest site will be biased. The present study examined responses of R s to soil temperature (T s ) and water content (W) in canopy and gap areas, developed the best fit model of R s and used the unique spatial patterns of R s and crown closure to upscale chamber measurements to the site scale in an old-growth beech-oak forest. R s increased with an increase in T s in both gap and canopy areas, but the effect of W on R s was different between the two areas. The generalized linear model (GLM) analysis identified that an empirical model of R s with the coupling of T s and W was better than an exponential model of R s with only T s . Moreover, because of different responses of R s to W between canopy and gap areas, it was necessary to estimate R s in these areas separately. Consequently, combining the spatial patterns of R s and the crown closure could allow upscaling of R s from chamber-based measurements to the whole site in the present study.

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Section: Effect Of Soil Temperature and Soil Water Content On Soil Resupporting

confidence: 79%

Section: Diurnal Changes In Soil Temperature Soil Water Content Andmentioning

confidence: 99%

Section: Estimation Of Soil Respiration In the Old-growth Forestmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatial Upscaling of Soil Respiration under a Complex Canopy Structure in an Old‐Growth Deciduous Forest, Central Japan

Suchewaboripont

Ando

Yoshitake

et al. 2017

Forests

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“…Soil-air CO 2 concentration (SCO 2 ) determines the amount of CO 2 available for efflux from the soil to the atmosphere (Maier and Schack-Kirchner 2014). Because R S and rhizosphere SCO 2 strongly depend on the photosynthetic activity of plants supplying carbohydrates from leaves to the roots and rhizosphere (Kuzyakov and Gavrichkova 2010), variation in forest canopy processes (e.g., leaf phenology, plant growth and photosynthesis rates) is likely to influence belowground C dynamics (Inoue et al 2012;Moyano et al 2008). Therefore, the synthetic analysis of the responses of these parameters to warming can provide useful field evidence of the relationship between aboveground and belowground C processes (Flanagan et al 2013;Li et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Effects of experimental warming on soil respiration and biomass in Quercus variabilis Blume and Pinus densiflora Sieb. et Zucc. seedlings

Noh

Lee

et al. 2016

Annals of Forest Science

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Factors responsible for spatial and temporal variation of soil CO2 efflux in a 50 year recovering tropical forest, Peninsular Malaysia

et al. 2014

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Environmental abiotic and biotic factors are important in controlling soil CO2 efflux in forest ecosystems of different ages, as they play an important role in soil respiration. In understanding the spatial and temporal variation of soil CO2 efflux after several years of forest logging, there is a need to quantify the changing soil properties, environmental factors, and the total above and below ground biomass. This study was conducted in a 50-year old recovering tropical lowland forest in Peninsular Malaysia, measuring soil CO2 efflux using the continuous open flow chambers technique connected to a multi gas-handling unit and infrared gas analyser. The aim of this study was to determine the spatial and temporal variation of soil CO2 efflux in relation to changes in soil properties, environmental factors and forest carbon in a recovering forest. The efflux rates of about 389.20, 634.78, 564.81, 537.92 and 428.72 mg m−2 h−1, respectively, varied across the days and months, increasing from February and attaining the maximum in March and then gradually decreasing from April to June. The soil properties revealed a considerable amount of soil organic carbon, total organic carbon, and soil organic carbon stock, while the total above ground biomass, below ground biomass, soil pH, nitrogen to carbon ratio were found to provide nutrients for microbial activities in soil and to emit soil CO2. The multiple linear regression model indicated that the soil temperature and moisture explained the spatial and temporal variation in soil CO2 efflux; likewise, the changes in the soil properties and forest carbon significantly increased the soil CO2 efflux indicating a strong positive correlation (R 2 = 0.93).

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Seasonal variability of soil respiration in multiple ecosystems under the same physical–geographical environmental conditions in central Japan

Cited by 7 publications

References 39 publications

Spatial Upscaling of Soil Respiration under a Complex Canopy Structure in an Old‐Growth Deciduous Forest, Central Japan

Spatial Upscaling of Soil Respiration under a Complex Canopy Structure in an Old‐Growth Deciduous Forest, Central Japan

Effects of experimental warming on soil respiration and biomass in Quercus variabilis Blume and Pinus densiflora Sieb. et Zucc. seedlings

Factors responsible for spatial and temporal variation of soil CO2 efflux in a 50 year recovering tropical forest, Peninsular Malaysia

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