Resolving Uncertainty in the Response of Australia's Terrestrial Carbon Cycle to Projected Climate Change

被引:0
|
作者
Teckentrup, Lina [1 ,2 ,3 ]
De Kauwe, Martin G. [4 ]
Pitman, Andy J. [1 ,2 ]
Warlind, David [5 ]
Ukkola, Anna M. [1 ,2 ]
Smith, Benjamin [5 ,6 ]
机构
[1] ARC Ctr Excellence Climate Extremes, Sydney, NSW, Australia
[2] Univ New South Wales, Climate Change Res Ctr, Sydney, NSW, Australia
[3] Barcelona Supercomp Ctr, Barcelona, Spain
[4] Univ Bristol, Sch Biol Sci, Bristol, England
[5] Lund Univ, Dept Phys Geog & Ecosyst Sci, Lund, Sweden
[6] Western Sydney Univ, Hawkesbury Inst Environm, Penrith, NSW, Australia
基金
英国自然环境研究理事会; 瑞典研究理事会;
关键词
EARTH SYSTEM MODEL; SEMIARID ECOSYSTEMS; DYNAMIC VEGETATION; CO2; FERTILIZATION; FIRE FREQUENCY; SOIL CARBON; VARIABILITY; NITROGEN; WATER; VERSION;
D O I
10.1029/2024GL111398
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Semi-arid ecosystems, common across the Australian continent, strongly influence the inter-annual variability and trend in the global terrestrial net carbon sink. Here we explore the future Australian terrestrial carbon cycle using the CMIP6 ensemble, and the dynamic global vegetation model LPJ-GUESS. Uncertainty in Australia's carbon storage in vegetation ranged between 6 and 49 PgC at the end of the century and was strongly linked to biases in the meteorological forcing. Using LPJ-GUESS with bias-corrected meteorological forcing reduced uncertainty in the vegetation carbon storage to between 14 and 20 PgC, with the remaining range linked to model sensitivities to rising atmospheric CO2 concentration, temperature, and precipitation variability. Reducing this uncertainty will require improved terrestrial biosphere models, but also major improvements in the simulation of regional precipitation by Global Climate Models.
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页数:12
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