Climate legacies drive global soil carbon stocks in terrestrial ecosystems

被引：115
|
作者：
Delgado-Baquerizo, Manuel [1 ,2 ]
Eldridge, David J. [3 ]
Maestre, Fernando T. [4 ]
Karunaratne, Senani B. [1 ]
Trivedi, Pankaj [1 ,5 ]
Reich, Peter B. [1 ,6 ]
Singh, Brajesh K. [1 ,7 ]
机构：
[1] Univ Western Sydney, Hawkesbury Inst Environm, Bldg L9,Locked Bag 1797, Penrith, NSW 2751, Australia
[2] Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
[3] Univ New South Wales, Ctr Ecosyst Sci, Sch Biol Earth & Environm, Sydney, NSW 2052, Australia
[4] Univ Rey Juan Carlos, Dept Biol & Geol Fis & Quim Inorgan, Escuela Super Gencias Expt & Tecnol, E-28933 Mostoles, Spain
[5] Colorado State Univ, Dept Bioagr Sci & Pest Management, Ft Collins, CO 80523 USA
[6] Univ Minnesota, Dept Forest Resources, St Paul, MN 55108 USA
[7] Univ Western Sydney, Global Ctr Land Based Innovat, Penrith, NSW 2751, Australia
来源：
SCIENCE ADVANCES | 2017年 / 3卷 / 04期
基金：
欧盟地平线“2020”; 澳大利亚研究理事会; 欧洲研究理事会;
关键词：
LAND-USE; PLANT; MODEL;
D O I：
10.1126/sciadv.1602008
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Climatic conditions shift gradually over millennia, altering the rates at which carbon (C) is fixed from the atmosphere and stored in the soil. However, legacy impacts of past climates on current soil C stocks are poorly understood. Weused data from more than 5000 terrestrial sites from three global and regional data sets to identify the relative importance of current and past (Last Glacial Maximum andmid-Holocene) climatic conditions in regulating soil C stocks in natural and agricultural areas. Paleoclimate always explained a greater amount of the variance in soil C stocks than current climate at regional and global scales. Our results indicate that climatic legacies help determine global soil C stocks in terrestrial ecosystems where agriculture is highly dependent on current climatic conditions. Our findings emphasize the importance of considering how climate legacies influence soil C content, allowing us to improve quantitative predictions of global C stocks under different climatic scenarios.
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页数：7
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