R.P. Neilson, S. Running, D. Schimel, D. Ojima, W. Parton, J. Melillo, W.M. Post, A.W. King, T. Kittel, I.C. Prentice, M. Sykes, D. Bachelet, P. Thornton, VEMAP participants. 2001. IHDP/WCRP/IGBP Global Change Open Science Conference, Amsterdam, the Netherlands 10-13 July 2001.
Abstract
A recent hypothesis suggests there may be non-linear carbon feedbacks
between the terrestrial biosphere and the atmosphere. A relatively
small amount of warming might enhance carbon sequestration due to increased
productivity under slightly higher temperatures, increased precipitation
and a physiological benefit from elevated CO2. However, with additional
warming, the terrestrial biosphere could become a source of carbon to the
atmosphere, possibly due to saturation of the CO2 effect, an exponential
increase in evaporative demand with increased temperatures, increases in
plant respiration, shifting vegetation distribution and increased vegetation
disturbance from drought and fire.
This non-linear hypothesis was examined through a sensitivity
analysis using six terrestrial biosphere models from the Vegetation/Ecosystem
Modeling and Analysis Project (VEMAP) under two global warming scenarios
over the conterminous U.S. A Canadian scenario was near the high
end of potential temperature increases (ca. 5.5o C, CGCM1), while a Hadley
scenario was near the lower end of possible increases (ca. 2.8o C, HADCM2SUL).
Both scenarios simulated increases in precipitation of about 22% over the
U.S. Each scenario begins with a timeseries of observed weather from
1895 to the present using observed increases in CO2, then continues to
2100 using a 1% per year increase in CO2, as in the IPCC IS92a emissions
scenario.
The VEMAP models consist of four BioGeochemical Cycling models
(BGC), which calculate productivity and nutrient cycles, but rely on a
static vegetation map and either lack disturbance or have prescribed fire
intervals. Two additional models are Dynamic General Vegetation Models
(DGVM), which combine the BGC processes with both dynamic vegetation distribution
and fire simulation. Under the above hypothesis, the six models should
simulate carbon sequestration throughout the entire modestly-warming Hadley
scenario. However, under the warmer Canadian scenario, the simulated
vegetation might initially show carbon sequestration, but with increasing
temperatures could become a carbon source. Diagnostics were used
to examine model differences in terms of four separate processes; 1) elevated
CO2 and carbon fixation, 2) water limitation, 3) nitrogen limitation, and
4) disturbance processes, specifically drought and fire.
All six models showed increased carbon sequestration throughout
the 21st century under the Hadley scenario. However, under the hotter
Canadian scenario, the DGVMs appeared to support the non-linear hypothesis,
showing initial carbon gains followed by later carbon losses. By
contrast, the four BGC models showed carbon gains throughout the Canadian
scenario. Different sensitivities among the models appeared to be
related to diagnostic differences and will be discussed. Thus, the
DGVM results suggest there could be a threshold temperature below which
terrestrial biota are a carbon sink, slowing global warming, but above
which the biota could become a source, accelerating global warming.