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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Introduction 7<br />
Their <strong>in</strong>tegrative capability may be an important reason why forest gap models produce<br />
plausible successional patterns for a wide range <strong>of</strong> forest ecosystems (e.g. Shugart<br />
1984).<br />
Forest gap models are fairly general tools and can be used to study a variety <strong>of</strong> phenomena,<br />
rang<strong>in</strong>g from age structure and species composition to primary productivity and nutrient<br />
cycl<strong>in</strong>g <strong>of</strong> forest ecosystems (Shugart 1984). This is a dist<strong>in</strong>ct difference to all <strong>the</strong><br />
o<strong>the</strong>r models reviewed above, which were built to answer specific questions; for example,<br />
productivity models are not usually capable <strong>of</strong> treat<strong>in</strong>g succession because <strong>the</strong> choice<br />
<strong>of</strong> state variables implicitly assumes that forest composition is constant. Moreover, forest<br />
gap models are an explicit quantification <strong>of</strong> a sound ecological <strong>the</strong>ory (Watt 1947,<br />
Shugart 1984) which is consistent with many field observations (Moore 1990).<br />
Physiological models: Models <strong>of</strong> physiological processes like photosyn<strong>the</strong>sis and<br />
respiration typically work on time scales <strong>of</strong> m<strong>in</strong>utes or hours; <strong>the</strong>y simulate tissue development<br />
and plant growth (e.g. S<strong>in</strong>clair et al. 1976, Tenhunen et al. 1980, Reynolds et al.<br />
1980, Runn<strong>in</strong>g 1984, Eckersten 1985, Webb 1991). An application on larger time scales<br />
and for whole ecosystems is impractical, if not impossible due to <strong>the</strong> different scales<br />
<strong>in</strong>volved. However, <strong>the</strong>se models can give important guidel<strong>in</strong>es about processes to be <strong>in</strong>corporated<br />
<strong>in</strong>to more aggregated models and about <strong>the</strong> choice <strong>of</strong> adequate equations for<br />
process formulations.<br />
Conclusion: From <strong>the</strong> above review I conclude that forest gap models <strong>of</strong>fer <strong>the</strong> highest<br />
potential for modell<strong>in</strong>g forest dynamics <strong>in</strong> mounta<strong>in</strong>ous terra<strong>in</strong>: These models bridge several<br />
spatial, temporal, and organizational scales, <strong>the</strong>y consider many abiotic and biotic<br />
factors explicitly, and <strong>the</strong>y represent quantifications <strong>of</strong> dist<strong>in</strong>ct hypo<strong>the</strong>ses <strong>of</strong> <strong>the</strong> factors<br />
determ<strong>in</strong><strong>in</strong>g forest dynamics. Moreover, forest gap models have already been used successfully<br />
to simulate forest dynamics <strong>in</strong> <strong>the</strong> European Alps (Kienast & Kuhn 1989a,b).<br />
1.4 Forest gap models<br />
Forest succession may be def<strong>in</strong>ed as <strong>the</strong> directional change with time <strong>of</strong> <strong>the</strong> attributes <strong>of</strong> a<br />
s<strong>in</strong>gle site, such as species composition and vegetation physiognomy (F<strong>in</strong>egan 1984). It<br />
is obvious that succession can be observed on a wide variety <strong>of</strong> scales, depend<strong>in</strong>g on <strong>the</strong><br />
exact def<strong>in</strong>ition <strong>of</strong> <strong>the</strong> term “site”. An early approach, which has pervaded much <strong>of</strong> <strong>the</strong><br />
ecological literature, views succession from a holistic ecosystem perspective (Clements