Influence of seedling roots, environmental factors and soil characteristics on soil CO2 efflux rates in a 2-year-old loblolly pine (Pinus taeda L.) plantation in the Virginia Piedmont

Pangle, Robert E.; Seiler, John R.

doi:10.1016/s0269-7491(01)00261-5

Cited by 56 publications

(75 citation statements)

References 46 publications

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“…(1 0 )), while microclimate and soil characteristic had no significant differences among measurement points across a single site, indicating root biomass exerted significant influence on the spatial pattern of soil respiration under the same environmental conditions. The result was consistent with previous reports about spatial variation of soil respiration for terrestrial systems (Maier and Kress, 2000;Stoyan et al, 2000;Pangle and Seiler, 2002;Wiseman and Seiler, 2004). Generally, a radial gradient in total root biomass likely persisted through a typical timber management rotation (Wiseman and Seiler, 2004).…”

Section: Effect Of Root Biomass On Soil Respirationsupporting

confidence: 92%

“…Correlation analysis revealed that fine root biomass in soil collars was significantly related to soil respiration rates across a single site at one measurement moment (Table 1), indicating soil respiration differed in plots with greater and less root biomass under the same environmental conditions, which were similar to previous reports (Maier and Kress, 2000;Pangle and Seiler, 2002;Wiseman and Seiler, 2004;Jia et al, 2005). Fig.…”

Section: Effect Of Root Biomass On Soil Respirationsupporting

confidence: 86%

“…For example, Fang et al (1998) observed that CO 2 effluxes from the soil under palmetto were significantly higher than that from the open floor. Pangle and Seiler (2002) observed significantly greater soil respiration rates near the base of pine seedlings in comparison to rates away from the seedlings. Wiseman and Seiler (2004) also reported mean soil respiration rates were consistently higher near the tree in plantation loblolly pine.…”

Section: Article In Pressmentioning

confidence: 72%

“…Stoyan et al (2000) ascribed soil respiration concentrated around the trunk to higher soil water content as a result of stem flow in poplars plantation. Pangle and Seiler (2002) found the spatial pattern of soil CO 2 efflux between plots was most influenced by differences in soil nitrogen and pine root biomass in a loblolly pine stand on a single day. Maestre and Cortina (2003) highlighted the spatial variation of both vegetation and surface soil features affecting soil respiration rates in semiarid ecosystems.…”

Section: Features and Limitations Of The Modelmentioning

confidence: 90%

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Biotic and abiotic factors controlling the spatial and temporal variation of soil respiration in an agricultural ecosystem

Han

Zhou

et al. 2007

Soil Biology and Biochemistry

124

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Based on the continuous observation of soil respiration and environmental factors in a maize ecosystem from late April to late September in 2005, the spatial and temporal variation of soil respiration and their controlling factors were analyzed. There was a significant spatial pattern for soil respiration at the plant scale and higher soil respiration rates tended to occur near the maize plant during the growing season. On one measurement moment, root biomass (B) in soil collars exerted significant influence on the spatial pattern of soil respiration under the relatively homogeneous environmental conditions. A linear relationship existed between soil respiration rate and root biomassAt daily scale, the coefficient a and b in Eq.(1) fluctuated because soil temperature (T) markedly reduced the intercept (b) of the linear equation and significantly increased its slope (a). Based on this, we developedEq. (2) indicated that increasing soil temperature ameliorated the positive relationship between soil respiration and root biomass in the daily variation of soil respiration. At seasonal scale, parameter a, b and c in Eq. (2) were affected mainly by soil moisture (W), soil temperature and net primary productivity (NPP), respectively. Thus, we developedto estimate soil respiration during the growing season. Eq. (3) demonstrated that soil temperature, soil moisture, root biomass and NPP combined affected soil respiration at season scale, and they accounted for 78% of the seasonal and spatial variation of soil respiration during the growing season. Eq. (3) not only took into account the influence of soil temperature and moisture, but also incorporated biotic factors as predictor variables, which would lead to an improvement in predictive capabilities of the model. Moreover, Eq. (3) could simulate instantaneous soil respiration rates from different sampling points and at different temporal scales, so it could explain not only the temporal variation of soil respiration, but also its spatial variation. Although this model might not be broadly applicable, the results suggested that there was significant spatial heterogeneity in soil respiration at the plant scale and root biomass dominated the small-scale spatial patterns of soil respiration. Thus, the models of soil respiration should not only take into account the influence of environmental factors, but also incorporate biotic factors in order to scale-up the chamber measurements of soil respiration to ecosystem level. r

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Section: Effect Of Root Biomass On Soil Respirationsupporting

confidence: 92%

Section: Effect Of Root Biomass On Soil Respirationsupporting

confidence: 86%

Section: Article In Pressmentioning

confidence: 72%

Section: Features and Limitations Of The Modelmentioning

confidence: 90%

See 2 more Smart Citations

Biotic and abiotic factors controlling the spatial and temporal variation of soil respiration in an agricultural ecosystem

Han

Zhou

et al. 2007

Soil Biology and Biochemistry

124

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“…In this study, SR rates were based on an average produced from measurements made near and away from plants in order to take into account the spatial influence of respiring root biomass (Pangle and Seiler 2002). Furthermore, mean SR of sampling days was calculated by averaging all measured SR values during the diurnal variations.…”

Section: Seasonal Variation Of Soil Respirationmentioning

confidence: 99%

Soil temperature and biotic factors drive the seasonal variation of soil respiration in a maize (Zea mays L.) agricultural ecosystem

Han

Zhou

et al. 2006

Plant Soil

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The diurnal and seasonal variation of soil respiration (SR) and their driving environmental factors were studied in a maize ecosystem during the growing season 2005. The diurnal variation of SR showed asymmetric patterns, with the minimum occurring around early morning and the maximum around 13:00 h. SR fluctuated greatly during the growing season. The mean SR rate was 3.16 lmol CO 2 m -2 s -1 , with a maximum of 4.87 lmol CO 2 m -2 s -1 on July 28 and a minimum of 1.32 lmol CO 2 m -2 s -1 on May 4. During the diurnal variation of SR, there was a significant exponential relationship between SR and soil temperature (T) at 10 cm depth: SR ¼ ae bT . At a seasonal scale, the coefficient a and b fluctuated because the biomass (B) increased a, and the net primary productivity (NPP) of maize markedly increased b of the exponential equation. Based on this, we developed the equationto estimate the magnitude of SR and to simulate its temporal variation during the growth season of maize. Most of the temporal variability (93%) in SR could be explained by the variations in soil temperature, biomass and NPP of maize. This model clearly demonstrated that soil temperature, biomass and NPP of maize combined to drive the seasonal variation of SR during the growing season. However, only taking into account the influence of soil temperature on SR, an exponential equation over-or underestimated the magnitude of SR and resulted in an erroneous representation of the seasonal variation in SR. Our results highlighted the importance of biotic factors for the estimation of SR during the growing season. It is suggested that the models of SR on agricultural sites should not only take into account the influence of soil temperature, but also incorporate biotic factors as they affect SR during the growing season.

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Carbon Dynamics of Larch Plantations in Northeastern China and Japan

et al. 2009

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Influence of seedling roots, environmental factors and soil characteristics on soil CO2 efflux rates in a 2-year-old loblolly pine (Pinus taeda L.) plantation in the Virginia Piedmont

Cited by 56 publications

References 46 publications

Biotic and abiotic factors controlling the spatial and temporal variation of soil respiration in an agricultural ecosystem

Biotic and abiotic factors controlling the spatial and temporal variation of soil respiration in an agricultural ecosystem

Soil temperature and biotic factors drive the seasonal variation of soil respiration in a maize (Zea mays L.) agricultural ecosystem

Carbon Dynamics of Larch Plantations in Northeastern China and Japan

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