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Belowground carbon allocation patterns as determined by the in-growth soil core 13C technique across different ecosystem types

Author:
Martinez, Cristina, Alberti, Giorgio, Cotrufo, M. Francesca, Magnani, Federico, Zanotelli, Damiano, Camin, Federica, Gianelle, Damiano, Cescatti, Alessandro, Rodeghiero, Mirco
Source:
Geoderma 2016 v.263 pp. 140-150
ISSN:
0016-7061
Subject:
alpine grasslands, apples, biometry, carbon, carbon cycle, ecosystems, eddy covariance, equations, fine roots, forests, fruits, orchards, phosphorus, primary productivity, rhizodeposition, root growth, soil, stable isotopes, vineyards, Italy
Abstract:
Belowground carbon inputs, in particular rhizodeposition, are a key component of the global carbon cycle and yet their accurate quantification remains a major challenge. In the present paper, the in-growth soil cores-¹³C method was used to quantify net root carbon input (root-derived C). Four different ecosystem types (forest, alpine grassland, apple orchard and vineyard) in northern Italy, characterized by C3 vegetation with a broad range of aboveground net primary production (ANPP; 155–770gCm⁻²y⁻¹) were investigated. Cores, filled with soil of a known C4 isotopic signature were inserted at each site for twelve months. After extraction, root-derived C was quantified by applying a mass balance equation. Gross primary production (GPP) was determined by eddy covariance whereas ANPP was quantified using a biometric approach.NPP partitioning among sites differed, with fruit production dominating at agricultural sites. At these sites, belowground C inputs were dominated by rhizodeposits, likely due to relatively high root turnover. In natural ecosystems (forest and grassland) fine root production dominated belowground net primary production (BNPP) likely due to higher root growth determined by low phosphorus availability. Root derived C represented a significant contribution to BNPP varying from 40 to 60%. Our results underline the fact that failure to account for rhizodeposits may lead to a significant underestimation of BNPP.
Agid:
6056749