08.09.2014 Views

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 ...

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

The forest model FORCLIM 57<br />

3.3 Model equations<br />

For <strong>the</strong> formulation <strong>of</strong> <strong>the</strong> model equations, <strong>the</strong> follow<strong>in</strong>g notational conventions are<br />

used: First, <strong>the</strong> symbols used <strong>in</strong> <strong>the</strong> ma<strong>the</strong>matical model correspond to <strong>the</strong> identifiers <strong>in</strong><br />

<strong>the</strong> simulation model (section 3.5). Second, <strong>the</strong> first letter <strong>of</strong> a ma<strong>the</strong>matical symbol denotes<br />

its type (Swartzman & Kaluzny 1987), i.e. u stands for <strong>in</strong>put/output variables (cf.<br />

Tab. 3.1), k – model parameters, and g – auxiliary variables. State variables have no prefix.<br />

Third, <strong>the</strong> subscripts s and c are used to denote species-specific and cohort-specific<br />

variables, respectively.<br />

Tab. 3.1: Symbols used for <strong>in</strong>put/output variables <strong>of</strong> <strong>the</strong> FORCLIM model. “Eq.” denotes <strong>the</strong> number <strong>of</strong><br />

<strong>the</strong> equation where <strong>the</strong> variables are calculated.<br />

L<strong>in</strong>k Symbol Unit Explanation Eq.<br />

FORCLIM-E → P uWiT °C m<strong>in</strong>imum <strong>of</strong> current Dec, Jan, Feb temperatures 3.71<br />

uDD °C·d annual sum <strong>of</strong> degree-days 3.72<br />

uDrStr – drought stress <strong>in</strong>dex 3.75<br />

FORCLIM-E → S uAET mm·yr -1 actual evapotranspiration – 1)<br />

FORCLIM-P → S uFL i t·ha -1 three types <strong>of</strong> foliage litter (i = 1,2,3) 3.43<br />

uTL t·ha -1 twig litter 3.44<br />

uRL t·ha -1 root litter 3.45<br />

uWL t·ha -1 woody litter 3.46<br />

FORCLIM-S → P uAvN kg·ha -1 nitrogen availability 3.62<br />

1) <strong>the</strong> calculation <strong>of</strong> this variable was described <strong>in</strong> detail by Fischl<strong>in</strong> et al. (1994).<br />

3.3.1 FORCLIM-P: A forest gap model <strong>of</strong> tree population dynamics<br />

FORCLIM-P is formulated as a discrete time model with a time step (∆t) <strong>of</strong> one year<br />

(“Sequential Mach<strong>in</strong>e”, Zeigler 1976; cf. section 2.1). Each tree cohort is described by<br />

two state variables (Fig. 3.2). The dimension <strong>of</strong> <strong>the</strong> state vector <strong>of</strong> FORCLIM-P varies<br />

with time because tree cohorts are established depend<strong>in</strong>g on <strong>the</strong> environmental conditions,<br />

and <strong>the</strong>y are removed aga<strong>in</strong> when <strong>the</strong>ir last member dies. To derive an estimate <strong>of</strong> <strong>the</strong><br />

maximum size <strong>of</strong> <strong>the</strong> state vector, we generously assume that one cohort <strong>of</strong> every species<br />

is established every 10th year (cf. Eq. 3.7 and Tab. 3.12), and that <strong>the</strong> life expectancy<br />

<strong>of</strong> tree cohorts is 100 years. Thus <strong>the</strong> state vector has a dimension <strong>of</strong> not more than 20·n,<br />

where n is <strong>the</strong> number <strong>of</strong> species <strong>in</strong>corporated <strong>in</strong> <strong>the</strong> model. For European conditions<br />

where about 30 species have to be considered, <strong>the</strong> dimension <strong>of</strong> <strong>the</strong> state vector <strong>of</strong> FOR-<br />

CLIM-P may be as large as 600; however, typically it is less than 100.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!