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Temperature Response of Soil Respiration in a Chinese Pine Plantation: Hysteresis and Seasonal vs. Diel Q (10)
Although the temperature response of soil respiration (R(s)) has been studied extensively, several issues remain unresolved, including hysteresis in the R(s)–temperature relationship and differences in the long- vs. short-term R(s) sensitivity to temperature. Progress on these issues will contribute...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3585128/ https://www.ncbi.nlm.nih.gov/pubmed/23469089 http://dx.doi.org/10.1371/journal.pone.0057858 |
Sumario: | Although the temperature response of soil respiration (R(s)) has been studied extensively, several issues remain unresolved, including hysteresis in the R(s)–temperature relationship and differences in the long- vs. short-term R(s) sensitivity to temperature. Progress on these issues will contribute to reduced uncertainties in carbon cycle modeling. We monitored soil CO(2) efflux with an automated chamber system in a Pinus tabulaeformis plantation near Beijing throughout 2011. Soil temperature at 10-cm depth (T(s)) exerted a strong control over R(s), with the annual temperature sensitivity (Q (10)) and basal rate at 10°C (R(s) (10)) being 2.76 and 1.40 µmol m(−2) s(−1), respectively. Both R(s) and short-term (i.e., daily) estimates of R(s) (10) showed pronounced seasonal hysteresis with respect to T(s), with the efflux in the second half of the year being larger than that early in the season for a given temperature. The hysteresis may be associated with the confounding effects of microbial population dynamics and/or litter input. As a result, all of the applied regression models failed to yield unbiased estimates of R(s) over the entire annual cycle. Lags between R(s) and T(s) were observed at the diel scale in the early and late growing season, but not in summer. The seasonality in these lags may be due to the use of a single T(s) measurement depth, which failed to represent seasonal changes in the depth of CO(2) production. Daily estimates of Q (10) averaged 2.04, smaller than the value obtained from the seasonal relationship. In addition, daily Q (10) decreased with increasing T(s), which may contribute feedback to the climate system under global warming scenarios. The use of a fixed, universal Q (10) is considered adequate when modeling annual carbon budgets across large spatial extents. In contrast, a seasonally-varying, environmentally-controlled Q (10) should be used when short-term accuracy is required. |
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