On the need to consider wood formation processes in global vegetation models and a suggested approach

被引:76
作者
Friend, Andrew D. [1 ]
Eckes-Shephard, Annemarie H. [1 ]
Fonti, Patrick [2 ]
Rademacher, Tim T. [3 ,4 ,5 ]
Rathgeber, Cyrille B. K. [6 ]
Richardson, Andrew D. [3 ,4 ]
Turton, Rachael H. [7 ,8 ]
机构
[1] Univ Cambridge, Dept Geog, Downing Pl, Cambridge CB2 3EN, England
[2] Swiss Fed Inst Forest Snow & Landscape Res, CH-8903 Birmensdorf, Switzerland
[3] No Arizona Univ, Sch Informat Comp & Cyber Syst, Flagstaff, AZ 86011 USA
[4] No Arizona Univ, Ctr Ecosyst Sci & Soc, Flagstaff, AZ 86011 USA
[5] Harvard Univ, Dept Organism & Evolutionary Biol, Cambridge, MA 02138 USA
[6] Univ Lorraine, INRA, AgroParisTech, Silva, F-54000 Nancy, France
[7] Univ Cambridge, Scott Polar Res Inst, Lensfield Rd, Cambridge CB2 1ER, England
[8] British Antarctic Survey, Nat Environm Res Council, Madingley Rd, Cambridge CB3 0ET, England
基金
英国自然环境研究理事会;
关键词
Dynamic global vegetation model; Xylogenesis; Carbon; Source; Sink; TERRESTRIAL BIOSPHERE MODEL; CARBON ALLOCATION; FOREST PRODUCTIVITY; ECOSYSTEM DYNAMICS; CO2; CONCENTRATIONS; SINK-REGULATION; GROWING-SEASON; ELEVATED CO2; TREE GROWTH; PHOTOSYNTHESIS;
D O I
10.1007/s13595-019-0819-x
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
center dot Key messageDynamic global vegetation models are key tools for interpreting and forecasting the responses of terrestrial ecosystems to climatic variation and other drivers. They estimate plant growth as the outcome of the supply of carbon through photosynthesis. However, growth is itself under direct control, and not simply controlled by the amount of available carbon. Therefore predictions by current photosynthesis-driven models of large increases in future vegetation biomass due to increasing concentrations of atmospheric CO(2)may be significant over-estimations. We describe how current understanding of wood formation can be used to reformulate global vegetation models, with potentially major implications for their behaviour.
引用
收藏
页数:13
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