文献类型：期刊文献

英文题名：Substantial forest soil carbon accrual from absorptive fine roots over decadal timescales

作者：Ma, Ning[1,2,3] Li, Shenggong[1,3] Mccormack, M. Luke[4] Freschet, Gregoire T.[5] Ciais, Philippe[6] Wang, Huimin[1,2,3] Niu, Shuli[1,3] Reich, Peter B.[7,8,9,10] Zhang, Miaomiao[11] Zhao, Rongtian[3,12] Zhao, Bo[1,6] Gao, Decai[1,2] Gessler, Arthur[13,14] Huang, Yuanyuan[1,12] Gu, Jiacun[15] Fu, Xiaoli[1,2,3] Dai, Xiaoqin[1,2] Meng, Shengwang[1,2] Zheng, Jiajia[1,2] Yang, Fengting[1,2] Kou, Liang[1,2,3]

第一作者：Ma, Ning

通信作者：Kou, L[1];Kou, L[2];Kou, L[3]

机构：[1]Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China;[2]Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Qianyanzhou Ecol Res Stn, Beijing, Peoples R China;[3]Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China;[4]Morton Arboretum, Ctr Tree Sci, Lisle, IL USA;[5]CNRS, Theoret & Expt Ecol Stn, Moulis, France;[6]Univ Paris Saclay, Lab Sci Climat & Environm, CEA, CNRS,UVSQ, Gif Sur Yvette, France;[7]Univ Minnesota, Dept Forest Resources, St Paul, MN USA;[8]Western Sydney Univ, Hawkesbury Inst Environm, Penrith, NSW, Australia;[9]Univ Michigan, Inst Global Change Biol, Ann Arbor, MI USA;[10]Univ Michigan, Sch Environm & Sustainabil, Ann Arbor, MI USA;[11]Chinese Acad Forestry, State Key Lab Tree Genet & Breeding, Key Lab Tree Breeding & Cultivat, State Forestry Adm,Res Inst Forestry, Beijing, Peoples R China;[12]Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China;[13]Swiss Fed Res Inst WSL, Birmensdorf, Switzerland;[14]Swiss Fed Inst Technol, Inst Terr Ecosyst, Zurich, Switzerland;[15]Northeast Forestry Univ, Sch Forestry, Key Lab Sustainable Forest Ecosyst Management, Minist Educ, Harbin, Peoples R China

年份：2025

卷号：18

期号：10

起止页码：1020-1026

外文期刊名：NATURE GEOSCIENCE

收录：;Scopus(收录号：2-s2.0-105016881822);WOS:【SCI-EXPANDED(收录号:WOS:001576692800001)】；

基金：The authors thank H. Z. Ma, L. J. Xiao and X.L. Fan for providing the reference data of belowground plant biomass, belowground net primary productivity and microbial decomposition rate, P. X. Wang, C. Z. Hu, L. Y. Zhang and L. Jiang for root data collection and J. L. Peng for providing R code assistance. L.K. and S.N. acknowledge funding support from the National Key Research and Development Program of China (grant no. 2022YFF0802100); L.K. from the National Natural Science Foundation of China (grant no. 32222059), H.W. from the National Natural Science Foundation of China (grant no. 32330071), G.T.F. from Laboratoires d'Excellence (LabEx) TULIP (grant no. ANR-10-LABX-41) and P.B.R. from the US National Science Foundation ASCEND Biology Integration Institute (grant no. NSF-DBI-2021898).

语种：英文

摘要：Forest soils hold the largest terrestrial carbon pool, derived from dead plant tissues and transformed by soil biota. Current frameworks emphasize the role of soil microbes in highly persistent forms of carbon. However, moderately persistent forms of carbon also contribute substantially to forest soil carbon pools through the iterative effects of plant litter inputs and outputs over multi-decadal timescales. These sources of soil carbon are not well constrained. Here we synthesize published field data of the finest roots (absorptive roots) of mycorrhizal woody plants across major forest ecosystem types in the Northern Hemisphere. We estimate that, owing to fast turnover and slow decomposition, the iterative effects of absorptive roots on soil carbon accrual generate 2.4 +/- 0.1 MgC ha-1 over two decades, exceeding that of leaves by 65%. Further, roots associated with arbuscular mycorrhizal fungi contribute 43% more soil carbon than roots associated with ectomycorrhizal fungi, despite ectomycorrhizal forests dominating soil carbon storage in forest soils overall. We also find that specific root length, a readily measured trait, can be used as a proxy for iterative effects associated with root dynamics. Our findings thus provide a long-needed belowground metric for carbon modelling in the Earth system.