4.7 Article

Carbon quality mediates the temperature sensitivity of soil organic carbon decomposition in managed ecosystems

Journal

AGRICULTURE ECOSYSTEMS & ENVIRONMENT
Volume 250, Issue -, Pages 44-50

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.agee.2017.09.001

Keywords

Soil incubation; Sequential temperature change; Q(10) value; The carbon quality-temperature hypothesis

Funding

  1. National Basic Research Program of China [2013CB430404]
  2. National Science Foundation of China [41630528, 31670491]
  3. Science and Technology Commission of Shanghai Municipality [14DZ1206003]
  4. Shanghai Pujiang Scholar Program [16PJ1400900]

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The carbon quality-temperature (CQT) hypothesis suggests that the temperature sensitivity (Q(10)) of soil organic carbon (SOC) decomposition is negatively related to soil C quality. This hypothesis was widely tested in various natural ecosystems, but the effect of soil C quality on the temperature response of SOC decomposition has not been well addressed in managed ecosystems. In this study, Q(10) values of SOC decomposition were estimated in three adjacent managed ecosystems (planted forest (PF), paddy (PA), and upland (UL)) within the topsoil (0-5 cm) and subsoil (30-35 cm) layers of six sites across different climate zones in northeast China. The results suggested that the soil C quality differed significantly among the managed ecosystems (PF > PA > UL; P < 0.05) or soil types (P < 0.05), and decreased with soil depth (P < 0.001). Overall, Q(10) values differed significantly across the ecosystems (PF < PA < UL) and soil types (P < 0.05), but were significantly greater in the subsoil than those in the topsoil (P < 0.001). The negative relationship between Q(10) value and soil C quality suggested that the CQT hypothesis was applicable to ecosystem types, soil types, and soil profiles of the managed ecosystems. In addition, the Q(10) value had a positive correlation with soil pH (P < 0.001). The results suggested that incorporating soil C quality and soil pH into models would help us to predict the feedbacks between soil C dynamics and global warming in managed ecosystems.

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