34 research outputs found
Underuse of Cardiac Rehabilitation in Workers With Coronary Artery Disease ― Claims Database Survey in Japan ―
A new method for measuring microbial biomass nitrogen in soils: Direct extraction after toluene treatment
Seasonal and diurnal patterns of soil respiration in an evergreen coniferous forest: Evidence from six years of observation with automatic chambers
Soil respiration (Rₛ) plays a key role in the carbon balance of forest ecosystems. There is growing evidence that Rₛ is strongly correlated with canopy photosynthesis; however, how Rₛ is linked to aboveground attributes at various phenological stages, on the seasonal and diurnal scale, remains unclear. Using an automated closed dynamic chamber system, we assessed the seasonal and diurnal patterns of Rₛ in a temperate evergreen coniferous forest from 2005 to 2010. High-frequency Rₛ rates followed seasonal soil temperature patterns but the relationship showed strong hysteresis. Predictions of Rₛ based on a temperature-response model underestimated the observed values from June to July and overestimated those from August to September and from January to April. The observed Rₛ was higher in early summer than in late summer and autumn despite similar soil temperatures. At a diurnal scale, the Rₛ pattern showed a hysteresis loop with the soil temperature trend during the seasons of high biological activity (June to October). In July and August, Rₛ declined after the morning peak from 0800 to 1400 h, although soil temperatures continued to increase. During that period, figure-eight-shaped diurnal Rₛ patterns were observed, suggesting that a midday decline in root physiological activity may have occurred in early summer. In September and October, Rₛ was higher in the morning than in the night despite consistently high soil temperatures. We have characterised the magnitude and pattern of seasonal and diurnal Rₛ in an evergreen forest. We conclude that the temporal variability of Rₛ at high resolution is more related to seasons across the temperature dependence