The Nutrient Cycling Model (NuCM) was used to investigate the effects of in
creased temperature (+4 degrees C) and changing precipitation (increased an
d decreased) on biogeochemical cycling at six forest sites in the United St
ates: a Picea rubens forest at Nolan Divide in the Great Smoky Mountains, N
orth Carolina; mixed deciduous forests at Walker Branch, Tennessee and Cowe
eta, North Carolina; a Pinus tacda forest at Duke, North Carolina; a P. eli
ottii forest at Bradford, Florida; and a P. conrota/P, jeffreyii forest at
Little Valley, Nevada. Simulations of increased temperature indicated incre
ased evapotranspiration and reduced water Aux, Simulations of changes in pr
ecipitation indicated disproportionately large variations in soil water flu
x because of the relative stability of evapotranspiration with changes in p
recipitation. Increased temperature caused N release from forest floors at
all sites. Ar the N-saturated Nolan Divide site, this resulted in no change
in N uptake or growth but increased soil solution Al and NO; and increased
N leaching losses. At the N-limited sites, the release of N from the fores
t floor caused increased growth, and, in some cases, increased NO; leaching
as well, indicating that N released from the forest floor was not efficien
tly taken up by the vegetation. Increased precipitation caused increased gr
owth, and decreased precipitation caused reduced growth in the N-limited si
tes because of changes in wet N deposition. Changes in precipitation had no
effect on growth in the N-saturated Nolan Divide site, but did cause large
changes in soil solution mineral acid anion and Al concentrations, Increas
ed precipitation caused long-term decreases in soil exchangeable base catio
ns in most cases because of the disproportionately large effects on soil wa
ter flux; however, increased precipitation caused decreases in exchangeable
base cations in cases when atmospheric deposition was a major source of ba
se cations for the system.
The simulation results illustrate the extreme complexity of the possible re
sponses of nutrient cycling processes to climate change. By virtue of the f
act that the NuCM model does not contain physiological algorithms, these si
mulations demonstrate that changes in temperature and precipitation can pro
duce widely varying ecosystem-level responses through their effects on biog
eochemical cycling processes alone and that generalizations about the relat
ive importance of temperature versus precipitation changes are hazardous. (
C) 2000 Elsevier Science B.V. All rights reserved.