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Changes of carbon input influence soil respiration in a typical natural secondary forest on southern subtropical sandy coast |
GAO Wei1,2,4, YE Gongfu4, HUANG Zhiqun1,2,3, CHEN Zhiyong5, YU Zaipeng1,2,3, YUE Xinjian5, CHEN Mengyao5 |
1. Cultivation Base of State Key Laboratory of Humid Subtropical Mountain Ecology, 350007, Fuzhou, China; 2. Institute of Geography, Fujian Normal University, 350007, Fuzhou, China; 3. Ministry of Education Key Laboratory of Humid Subtropical Eco Geographical Process, 350007, Fuzhou, China; 4. Fujian Academy of Forestry Science, 350012, Fuzhou, China; 5. College of Forestry, Fujian Agriculture and Forestry University, 350002, Fuzhou, China |
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Abstract [Background] Globally, the pool of carbon in soils is greater than the pool contained in vegetation or the atmosphere, and changes in soil carbon content can therefore greatly affect the global carbon budget. Soil respiration is an essential process of carbon cycling in terrestrial ecosystems, thus the knowledge about influence of environmental factors and carbon input on soil respiration is critical for ecosystem management. [Methods] Four 20 m×20 m permanent fixed plots were established in a natural secondary forest in December 2014 in southeastern coast of Fujian Province, China, and four carbon input manipulations of root exclusion, litter exclusion, double litter and control(normal carbon inputs)were carried out in each plot. Monthly soil respiration (Rs) under different carbon input manipulations were measured by Li-8100 from March 2015 to February 2016. In addition, the dissolved organic carbon and microbial biomass carbon were determined after Rs measurement. One-way analysis of variance (ANOVA) with Duncan’s multiple comparison method was used to test the differences of Rs, soil temperature and soil moisture between different carbon input manipulations, besides the linear and nonlinear regression models were used to describe the relationship between seasonal Rs, soil temperature and soil moisture. [Results] The results showed that no significant difference was found for soil temperature and soil moisture at 10 cm depth between different treatments (P>0.05). The seasonal pattern of Rs was obviously, which was higher in summer and lower in winter during the study period, and the highest fluxes observed in May 2015 or June 2015 and the lowest fluxes occurred in November 2015 or December 2015. The range of annual mean Rs for different treatments was double litter > control >root exclusion > litter exclusion, and all Q10 values in different carbon input manipulations were lower than that in control. The contribution of mineral soil, litter layers and roots to total soil respiration was 41.24%, 43.29% and 15.45%, respectively. Rs was significantly and exponentially correlated with soil temperature and linearly and positively correlated with soil moisture at 10 cm depth (P<0.05). The bi-factor models integrated W10 with T10 explained 45%~69% of the variations for Rs. The soil dissolved organic carbon and microbial biomass carbon were also influenced by carbon input changes, and the mean Rs significantly correlated with soil dissolved organic carbon and microbial biomass carbon concentration.[Conclusions] Our findings suggested that carbon input manipulations induced changes in soil labile carbon, and subsequently caused significant effects on soil respiration.
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Received: 16 July 2016
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