Title of article :
Root inclusion net method: novel approach to determine fine root production and turnover in Larix principis-rupprechtii Mayr plantation in North China
Author/Authors :
WANG, Xiyang Beijing Forestry University - Key Laboratory for Silviculture and Conservation, China , MA, Lvyi Beijing Forestry University - National Energy R D Center for Non-Food Biomass - Key Laboratory for Silviculture and Conservation, China , JIA, Zhongkui Beijing Forestry University - Key Laboratory for Silviculture and Conservation, China , JIA, Liming Beijing Forestry University - Key Laboratory for Silviculture and Conservation, China
From page :
388
To page :
398
Abstract :
A novel root inclusion net method was designed to determine the fine root productions and turnover rates of 13-, 22-, and 38-year-old Larix principis-rupprechtii plantations in the whole growing season of 2012, and it was compared with the results of the sequential coring method and in-growth core method. All following values are reported in order for 13-, 22-, and 38-year-old L. principis-rupprechtii plantations. The mean values of fine root biomasses were 103, 261, and 356 g m^–2, about 76–78% of which were live fine root biomasses. The fine root productions were 86–118 g m^–2 yea^r–1, 124–138 g m^–2 year^–1, and 134–160 g m^–2 year^–1, respectively. The fine root turnover rates were 1.12, 0.61, and 0.51 times year^–1, respectively, suggesting a relative slow fine root turnover in L. principisrupprechtii plantations. The carbon inputs into soil accompanying fine root turnover were 52, 58, and 94 g C m^–2 year^–1. This organic carbon is a sizeable pool in the forest ecosystem. The results suggest that our new modified root inclusion net method is suitable for field-based assessment of fine root production and turnover.
Keywords :
Fine root turnover , plantation , root inclusion net method , soil organic carbon
Journal title :
Turkish Journal of Agriculture and Forestry
Journal title :
Turkish Journal of Agriculture and Forestry
Record number :
2534893
Link To Document :
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