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Jia X, Zha T, Wu B, Zhang Y, Chen W, Wang X, Yu H, He G. Temperature response of soil respiration in a Chinese pine plantation: hysteresis and seasonal vs. diel Q10. PLoS One 2013; 8:e57858. [PMID: 23469089 PMCID: PMC3585128 DOI: 10.1371/journal.pone.0057858] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2012] [Accepted: 01/28/2013] [Indexed: 11/18/2022] Open
Abstract
Although the temperature response of soil respiration (Rs ) has been studied extensively, several issues remain unresolved, including hysteresis in the Rs -temperature relationship and differences in the long- vs. short-term Rs sensitivity to temperature. Progress on these issues will contribute to reduced uncertainties in carbon cycle modeling. We monitored soil CO2 efflux with an automated chamber system in a Pinus tabulaeformis plantation near Beijing throughout 2011. Soil temperature at 10-cm depth (Ts ) exerted a strong control over Rs , with the annual temperature sensitivity (Q10) and basal rate at 10°C (Rs10) being 2.76 and 1.40 µmol m(-2) s(-1), respectively. Both Rs and short-term (i.e., daily) estimates of Rs10 showed pronounced seasonal hysteresis with respect to Ts , 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 Rs over the entire annual cycle. Lags between Rs and Ts 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 Ts measurement depth, which failed to represent seasonal changes in the depth of CO2 production. Daily estimates of Q10 averaged 2.04, smaller than the value obtained from the seasonal relationship. In addition, daily Q10 decreased with increasing Ts , which may contribute feedback to the climate system under global warming scenarios. The use of a fixed, universal Q10 is considered adequate when modeling annual carbon budgets across large spatial extents. In contrast, a seasonally-varying, environmentally-controlled Q10 should be used when short-term accuracy is required.
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Affiliation(s)
- Xin Jia
- School of Soil and Water Conservation, Beijing Forestry University, Beijing, China
| | - Tianshan Zha
- School of Soil and Water Conservation, Beijing Forestry University, Beijing, China
| | - Bin Wu
- School of Soil and Water Conservation, Beijing Forestry University, Beijing, China
| | - Yuqing Zhang
- School of Soil and Water Conservation, Beijing Forestry University, Beijing, China
| | - Wenjing Chen
- School of Soil and Water Conservation, Beijing Forestry University, Beijing, China
| | - Xiaoping Wang
- Beijing Forestry Carbon Administration, Beijing, China
| | - Haiqun Yu
- Beijing Forestry Carbon Administration, Beijing, China
| | - Guimei He
- Beijing Forestry Carbon Administration, Beijing, China
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Yu X, Zha T, Pang Z, Wu B, Wang X, Chen G, Li C, Cao J, Jia G, Li X, Wu H. Response of soil respiration to soil temperature and moisture in a 50-year-old oriental arborvitae plantation in China. PLoS One 2011; 6:e28397. [PMID: 22163012 PMCID: PMC3232204 DOI: 10.1371/journal.pone.0028397] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2011] [Accepted: 11/07/2011] [Indexed: 11/29/2022] Open
Abstract
China possesses large areas of plantation forests which take up great quantities of carbon. However, studies on soil respiration in these plantation forests are rather scarce and their soil carbon flux remains an uncertainty. In this study, we used an automatic chamber system to measure soil surface flux of a 50-year-old mature plantation of Platycladus orientalis at Jiufeng Mountain, Beijing, China. Mean daily soil respiration rates (Rs) ranged from 0.09 to 4.87 µmol CO2 m−2s−1, with the highest values observed in August and the lowest in the winter months. A logistic model gave the best fit to the relationship between hourly Rs and soil temperature (Ts), explaining 82% of the variation in Rs over the annual cycle. The annual total of soil respiration estimated from the logistic model was 645±5 g C m−2 year−1. The performance of the logistic model was poorest during periods of high soil temperature or low soil volumetric water content (VWC), which limits the model's ability to predict the seasonal dynamics of Rs. The logistic model will potentially overestimate Rs at high Ts and low VWC. Seasonally, Rs increased significantly and linearly with increasing VWC in May and July, in which VWC was low. In the months from August to November, inclusive, in which VWC was not limiting, Rs showed a positively exponential relationship with Ts. The seasonal sensitivity of soil respiration to Ts (Q10) ranged from 0.76 in May to 4.38 in October. It was suggested that soil temperature was the main determinant of soil respiration when soil water was not limiting.
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Affiliation(s)
- Xinxiao Yu
- Chinese Institute of Green Carbon, The School of Soil and Water Conservation, Beijing Forestry University, Beijing, China
| | - Tianshan Zha
- Chinese Institute of Green Carbon, The School of Soil and Water Conservation, Beijing Forestry University, Beijing, China
- * E-mail:
| | - Zhuo Pang
- Chinese Institute of Green Carbon, The School of Soil and Water Conservation, Beijing Forestry University, Beijing, China
| | - Bin Wu
- Chinese Institute of Green Carbon, The School of Soil and Water Conservation, Beijing Forestry University, Beijing, China
| | - Xiaoping Wang
- Chinese Institute of Green Carbon, The School of Soil and Water Conservation, Beijing Forestry University, Beijing, China
| | - Guopeng Chen
- The Faculty of Forestry, Sichuan Agricultural University, Yaan, China
| | - Chunping Li
- Chinese Institute of Green Carbon, The School of Soil and Water Conservation, Beijing Forestry University, Beijing, China
| | - Jixin Cao
- Research Institute of Forest Ecology, Chinese Academy of Forestry, Beijing, China
| | - Guodong Jia
- Chinese Institute of Green Carbon, The School of Soil and Water Conservation, Beijing Forestry University, Beijing, China
| | - Xizhi Li
- Chinese Institute of Green Carbon, The School of Soil and Water Conservation, Beijing Forestry University, Beijing, China
| | - Hailong Wu
- Chinese Institute of Green Carbon, The School of Soil and Water Conservation, Beijing Forestry University, Beijing, China
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