Environmental controls of winter soil carbon dioxide fluxes in boreal and tundra environments

被引:3
|
作者
Mavrovic, Alex [1 ,2 ,3 ,4 ]
Sonnentag, Oliver [2 ,4 ]
Lemmetyinen, Juha [5 ]
Voigt, Carolina [4 ,6 ,9 ]
Rutter, Nick [7 ]
Mann, Paul [7 ]
Sylvain, Jean-Daniel [8 ]
Roy, Alexandre [1 ,2 ]
机构
[1] Univ Quebec Trois Rivieres, Dept Sci Environm, Trois Rivieres, PQ G9A 5H7, Canada
[2] Ctr Etud Nord, Quebec City G1V 0A6, PQ, Canada
[3] Polar Knowledge Canada, Canadian High Arctic Res Stn Campus, Cambridge Bay, NU X0B 0C0, Canada
[4] Univ Montreal, Dept Geog, Montreal, PQ H3T 1J4, Canada
[5] Finnish Meteorol Inst, Helsinki 00560, Finland
[6] Univ Eastern Finland, Dept Environm & Biol Sci, Kuopio 70211, Finland
[7] Northumbria Univ, Geog & Environm Sci Dept, Newcastle Upon Tyne NE1 8ST, England
[8] Minist Ressources Nat & Forets, Quebec City G1H 6R1, PQ, Canada
[9] Univ Hamburg, Inst Soil Sci, D-20146 Hamburg, Germany
基金
加拿大自然科学与工程研究理事会;
关键词
EFFECTIVE THERMAL-CONDUCTIVITY; SOURCE COMMUNITY SUCCESSOR; ECOSYSTEM MODEL CTEM; SURFACE SCHEME CLASS; ARCTIC TUNDRA; SNOW COVER; PHYSICAL-PROPERTIES; CLIMATE-CHANGE; CLASSIC V1.0; BYLOT ISLAND;
D O I
10.5194/bg-20-5087-2023
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The carbon cycle in Arctic-boreal regions (ABRs) is an important component of the planetary carbon balance, with growing concerns about the consequences of ABR warming for the global climate system. The greatest uncertainty in annual carbon dioxide (CO2) budgets exists during winter, primarily due to challenges with data availability and limited spatial coverage in measurements. The goal of this study was to determine the main environmental controls of winter CO2 fluxes in ABRs over a latitudinal gradient (45(degrees) to 69(degrees) N) featuring four different ecosystem types: closed-crown coniferous boreal forest, open-crown coniferous boreal forest, erect-shrub tundra, and prostrate-shrub tundra. CO2 fluxes calculated using a snowpack diffusion gradient method ( n = 560 ) ranged from 0 to 1.05 g Cm-2 d(-1) . To assess the dominant environmental controls governing CO2 fluxes, a random forest machine learning approach was used. We identified soil temperature as the main control of winter CO2 fluxes with 68 % of relative model importance, except when soil liquid water occurred during 0(degrees) C curtain conditions (i.e., T soil approximate to 0(degrees)C and liquid water coexist with ice in soil pores). Under zero-curtain conditions, liquid water content became the main control of CO2 fluxes with 87 % of relative model importance. We observed exponential regressions between CO2 fluxes and soil temperature in fully frozen soils ( RMSE = 0.024 g Cm-2 d(-1); 70.3 % of mean F-CO2) and soils around the freezing point ( RMSE = 0.286 g Cm-2 d(-1); 112.4 % of mean F-CO2). F- CO2 increases more rapidly with T soil around the freezing point than at T soil < 5(degrees)C . In zero-curtain conditions, the strongest regression was found with soil liquid water content ( RMSE = 0.137 g Cm-2 d(-1) ; 49.1 % of mean F-CO2). This study shows the role of several variables in the spatio-temporal variability in CO2 fluxes in ABRs during winter and highlights that the complex vegetation-snow-soil interactions in northern environments must be considered when studying what drives the spatial variability in soil carbon emissions during winter.
引用
收藏
页码:5087 / 5108
页数:22
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