Quantifying the effect of forest age in annual net forest carbon balance

被引:75
作者
Besnard, Simon [1 ,2 ]
Carvalhais, Nuno [1 ,3 ]
Arain, M. Altaf [4 ,5 ]
Black, Andrew [6 ]
de Bruin, Sytze [2 ]
Buchmann, Nina [7 ]
Cescatti, Alessandro [8 ]
Chen, Jiquan [9 ]
Clevers, Jan G. P. W. [2 ]
Desai, Ankur R. [10 ]
Gough, Christopher M. [11 ]
Havrankova, Katerina [12 ]
Herold, Martin [2 ]
Hortnagl, Lukas [7 ]
Jung, Martin [1 ]
Knohl, Alexander [13 ]
Kruijt, Bart [14 ]
Krupkova, Lenka [12 ]
Law, Beverly E. [15 ]
Lindroth, Anders [16 ]
Noormets, Asko [17 ,18 ]
Roupsard, Olivier [19 ,20 ]
Steinbrecher, Rainer [21 ]
Varlagin, Andrej [22 ]
Vincke, Caroline [23 ]
Reichstein, Markus [1 ]
机构
[1] Max Planck Inst Biogeochem, Dept Biogeochem Integrat, Hans Knoll Str 10, D-07745 Jena, Germany
[2] Wageningen Univ & Res, Lab Geoinformat Sci & Remote Sensing, POB 47, NL-6700 AA Wageningen, Netherlands
[3] Univ NOVA Lisboa, Fac Ciencias & Tecnol, CENSE, Dept Ciencias & Engn Ambiente, Caparica, Portugal
[4] McMaster Univ, Sch Geog & Earth Sci, Hamilton, ON L8S 4K1, Canada
[5] McMaster Univ, McMaster Ctr Climate Change, Hamilton, ON L8S 4K1, Canada
[6] Univ British Columbia, Fac Land & Food Syst, 2357 Main Mall, Vancouver, BC V6T 1Z4, Canada
[7] Swiss Fed Inst Technol, Dept Environm Syst Sci, LFW C56,Univ Str 2, CH-8092 Zurich, Switzerland
[8] European Commiss, Joint Res Ctr, Directorate Sustainable Resources, Ispra, Italy
[9] Michigan State Univ, Ctr Global Change & Earth Observat, Dept Geog Environm & Spacial Sci, E Lansing, MI 48823 USA
[10] Univ Wisconsin Madison, Dept Atmospher & Ocean Sci, 1225 W Dayton St, Madison, WI 53711 USA
[11] Univ Virginia Commonwealth, Dept Biol, 1000 W Cary St, Richmond, VA 23284 USA
[12] Global Change Res Inst CAS, Dept Matters & Energy Fluxes, Belidla 4a, Brno 60300, Czech Republic
[13] Univ Gottingen, Bioclimatol, Busgenweg 2, D-37077 Gottingen, Germany
[14] Wageningen Environm Res Alterra, POB 47, NL-6700 AA Wageningen, Netherlands
[15] Oregon State Univ, Coll Forestry, 328 Richardson Hall, Corvallis, OR 97331 USA
[16] Lund Univ, Dept Phys Geog & Ecosyst Sci, Solvegatan 12, SE-22362 Lund, Sweden
[17] North Carolina State Univ, Dept Forestry & Environm Resources, Raleigh, NC 27695 USA
[18] Texas A&M Univ, Dept Ecosyst Sci & Management, College Stn, TX 77843 USA
[19] CIRAD, UMR Eco & Sols, LMI IESOL, BP 1386, Dakar 18524, Senegal
[20] Univ Montpellier, Montpellier SupAgro, Eco & Sols, CIRAD,INRA,IRD, Montpellier, France
[21] Karlsruhe Inst Technol, Inst Meteorol & Climate Res, Dept Atmospher Environm Res, Kreuzeckbahnstr 19, D-82467 Garmisch Partenkirchen, Germany
[22] Russian Acad Sci, AN Severtsov Inst Ecol & Evolut, Leninsky Pr 33, Moscow 119071, Russia
[23] Catholic Univ Louvain, Earth & Life Inst, Environm Sci, Croix Sud 2 L7-05-09, B-1348 Louvain La Neuve, Belgium
来源
ENVIRONMENTAL RESEARCH LETTERS | 2018年 / 13卷 / 12期
基金
美国国家科学基金会; 加拿大自然科学与工程研究理事会;
关键词
carbon cycle; eddy covariance; net ecosystem production; empirical modelling; forest age; climate; soil properties; ECOSYSTEM RESPIRATION; EDDY-COVARIANCE; TERRESTRIAL BIOSPHERE; DIOXIDE UPTAKE; CLIMATE-CHANGE; WATER-VAPOR; FLUXES; DISTURBANCE; MANAGEMENT; PHOTOSYNTHESIS;
D O I
10.1088/1748-9326/aaeaeb
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Forests dominate carbon (C) exchanges between the terrestrial biosphere and the atmosphere on land. In the long term, the net carbon flux between forests and the atmosphere has been significantly impacted by changes in forest cover area and structure due to ecological disturbances and management activities. Current empirical approaches for estimating net ecosystem productivity (NEP) rarely consider forest age as a predictor, which represents variation in physiological processes that can respond differently to environmental drivers, and regrowth following disturbance. Here, we conduct an observational synthesis to empirically determine to what extent climate, soil properties, nitrogen deposition, forest age and management influence the spatial and interannual variability of forest NEP across 126 forest eddy-covariance flux sites worldwide. The empirical models explained up to 62% and 71% of spatio-temporal and across-site variability of annual NEP, respectively. An investigation of model structures revealed that forest age was adominant factor of NEP spatio-temporal variability in both space and time at the global scale as compared to abiotic factors, such as nutrient availability, soil characteristics and climate. These findings emphasize the importance of forest age in quantifying spatio-temporal variation in NEP using empirical approaches.
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页数:10
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