On the Ecology of Mountainous Forests in a Changing Climate: A ...
On the Ecology of Mountainous Forests in a Changing Climate: A ...
On the Ecology of Mountainous Forests in a Changing Climate: A ...
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48 Chapter 3<br />
photosyn<strong>the</strong>sis (gALGF, Fig. 3.2). Gap models are geometrically explicit <strong>in</strong> <strong>the</strong> vertical<br />
dimension, but most <strong>of</strong> <strong>the</strong>m use a very simple approach to model crown geometry: All<br />
<strong>the</strong> leaves are assumed to be concentrated at <strong>the</strong> top <strong>of</strong> <strong>the</strong> stem (Botk<strong>in</strong> et al. 1972a,b).<br />
This assumption is not as unrealistic as it may appear; for example, Schulze et al. (1977)<br />
found that <strong>in</strong> a Picea excelsa forest more than 70% <strong>of</strong> <strong>the</strong> annual CO 2 uptake was<br />
attributable to <strong>the</strong> needles exposed to direct sunlight at <strong>the</strong> top <strong>of</strong> <strong>the</strong> crown. Leemans and<br />
Prentice (1989) argued that sun angles <strong>in</strong> <strong>the</strong> boreal zone <strong>of</strong>ten are so low that most direct<br />
sunlight <strong>in</strong>cides from <strong>the</strong> side and not from above, mak<strong>in</strong>g an explicit consideration <strong>of</strong><br />
true crown geometry necessary. For <strong>the</strong> present study, which deals with forests at temperate<br />
latitudes where sun angles are much higher, <strong>the</strong> simple crown geometry <strong>of</strong> conventional<br />
forest gap models (Shugart 1984) seems appropriate.<br />
The follow<strong>in</strong>g climate dependent constra<strong>in</strong>ts are used <strong>in</strong> FORCLIM: The direct effects <strong>of</strong><br />
temperature are modelled as <strong>the</strong> annual sum <strong>of</strong> degree-days (uDD). Woodward (1988)<br />
showed that this <strong>in</strong>dex correlates well with <strong>the</strong> distribution <strong>of</strong> plant species (gDDGF), although<br />
it may lack a physiological basis (Bonan & Sirois 1992). The water content <strong>of</strong> <strong>the</strong><br />
root<strong>in</strong>g zone is used to model <strong>the</strong> effect <strong>of</strong> drought stress (uDrStr) on growth (gSMGF,<br />
Cramer & Prentice 1988), assum<strong>in</strong>g that it is <strong>in</strong>dicative <strong>of</strong> <strong>the</strong> water availability for plants.<br />
In <strong>the</strong>ir classic fertilizer trials, Mitchell & Chandler (1939) found that tree growth <strong>in</strong>creases<br />
<strong>in</strong> a well predictable manner with <strong>in</strong>creas<strong>in</strong>g soil nitrogen concentrations (uAvN). Aber<br />
et al. (1979, 1982) and Pastor & Post (1985) <strong>in</strong>corporated <strong>the</strong>se f<strong>in</strong>d<strong>in</strong>gs <strong>in</strong> forest gap<br />
models, and <strong>the</strong> same approach is used <strong>in</strong> FORCLIM (gSNGF).<br />
The possible direct effects <strong>of</strong> atmospheric CO 2 on tree growth (“CO 2 fertilization”) are<br />
still hotly debated <strong>in</strong> <strong>the</strong> literature (e.g. Eamus & Jarvis 1989, Overdieck & Forstreuter<br />
1991, Körner 1993). While <strong>the</strong> short-term effects <strong>of</strong> enhanced CO 2 concentrations on<br />
photosyn<strong>the</strong>sis and water-use efficiency <strong>of</strong> tree seedl<strong>in</strong>gs and sapl<strong>in</strong>gs seem to be well established<br />
(e.g. Stra<strong>in</strong> & Cure 1985), <strong>the</strong> long-term effects on older trees and whole ecosystems<br />
rema<strong>in</strong> undeterm<strong>in</strong>ed and can not be extrapolated simply from <strong>the</strong> f<strong>in</strong>d<strong>in</strong>gs at<br />
smaller scales (Eamus & Jarvis 1989). These authors also noted that at <strong>the</strong> ecosystem<br />
scale “recourse must be made … to modell<strong>in</strong>g” (p. 8). Simulation studies deal<strong>in</strong>g with<br />
this problem typically found that <strong>the</strong> response at <strong>the</strong> ecosystem scale is much smaller than<br />
<strong>the</strong> <strong>in</strong>crease <strong>in</strong> <strong>the</strong> growth rate <strong>of</strong> <strong>the</strong> s<strong>in</strong>gle trees (e.g. Shugart & Emanuel 1985) or even<br />
that <strong>the</strong>re is no response at <strong>the</strong> ecosystem scale at all (e.g. Luxmoore et al. 1990). Based<br />
on <strong>the</strong>se studies and <strong>in</strong> view <strong>of</strong> <strong>the</strong> large uncerta<strong>in</strong>ties concern<strong>in</strong>g this issue, <strong>the</strong> hypo<strong>the</strong>sized<br />
direct effects <strong>of</strong> atmospheric CO 2 on tree growth are neglected <strong>in</strong> FORCLIM.