Jt. Randerson et al., SUBSTRATE LIMITATIONS FOR HETEROTROPHS - IMPLICATIONS FOR MODELS THATESTIMATE THE SEASONAL CYCLE OF ATMOSPHERIC CO2, Global biogeochemical cycles, 10(4), 1996, pp. 585-602
We examine the sensitivity of the seasonal cycle of heterotrophic resp
iration to model estimates of litterfall seasonality, herbivory, plant
allocation, tissue chemistry, and land use. As a part of this analysi
s, we compare heterotrophic respiration models based solely on tempera
ture and soil moisture controls (zero-order models) with models that d
epend on available substrate as well (first-order models). As indicato
rs of regional and global CO2 exchange, we use maps of monthly global
net ecosystem production, growing season net flux (GSNF), and simulate
d atmospheric CO2 concentrations from an atmospheric tracer transport
model. In one first-order model, CASA, variations on the representatio
n of the seasonal flow of organic matter from plants to heterotrophs c
an increase global GSNF as much as 60% (5.7 Pg C yr(-1)) above estimat
es obtained from a zero-order model. Under a new first-order scheme th
at includes separate seasonal dynamics for leaf litterfall, fine root
mortality, coarse woody debris, and herbivory, we observe an increase
in GSNF of 8% (0.7 Pg C yr(-1)) over that predicted by the zero-order
model. The increase in seasonality of CO2 exchange in first-order mode
ls reflects the dynamics of labile litter fractions; specifically, the
rapid decomposition of a pulse of labile leaf and fine root litter th
at enters the heterotrophic community primarily from the middle to the
end of the growing season shifts respiration outside the growing seas
on. From the perspective of a first-order model, we then explore the c
onsequences of land use change and winter temperature anomalies on the
amplitude of the seasonal cycle of atmospheric CO2. Agricultural prac
tices that accelerate decomposition may drive a long-term increase in
the amplitude, independent of human impacts on plant production. Consi
deration of first-order litter decomposition dynamics may also help ex
plain year-to-year variation in the amplitude.