4.7 Article

Effects of stand age on soil respiration in Pinus massoniana plantations in the hilly red soil region of Southern China

Journal

CATENA
Volume 178, Issue -, Pages 313-321

Publisher

ELSEVIER
DOI: 10.1016/j.catena.2019.03.038

Keywords

Soil respiration; Stand age; Soil temperature; Soil water content; Seasonal variation; Pinus massoniana

Funding

  1. National Natural Science Foundation of China [31770760, 41401385]
  2. scholarship program of China Scholarship Council [201707877012]
  3. Research Foundation Program of Fujian Water Department [MSK201705]

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It is of great importance to assess the effect of stand age on soil respiration (SR) to understand the potential carbon sequestration capacity of afforestation. In this study, we investigated the changes in SR and microclimate variables in a chronosequence of four different aged stands (8-, 17-, 27-, and 36-year-old) in a Pinus massoniana plantation in the soil erosion area of southern China. SR was found to have obvious seasonal dynamics among the four aged stands, and the highest and lowest value in summer and winter, respectively. We also found that SR increased with increasing stand age, and the mean SRs for the 8-, 17-, 27-, and 36-year-old stands were 1.45, 1.83, 2.03, and 2.32 pmol CO2 m(-2) s(-1), respectively. Furthermore, all stands showed that SR increased exponentially with increasing soil temperature and that the temperature sensitivity of SR (Q(10)) was 2.08, 2.09, 2.23, and 2.19 for 8-, 17-, 27-, and 36-year-old stands, respectively. Moreover, the Q(10) values for the 27- and 36-year-old stands were significantly higher than those of the other two stands (p < 0.05). Stepwise multiple regression analysis indicated that soil temperature had a greater effect on SR than soil organic carbon. This study provides insights for estimating SR in P. massoniana plantations in the eroded area of southern China and highlights the need to consider the effect of stand age and seasonal patterns when predicting the carbon budget under different future climate change scenarios.

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