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Figure 5 Recruitment submodel simulates regeneration and recruitment.

This Recruitment submodel is functionally similar, but does not exactly replicate the algorithm in the original Fortran model, which initiated five new records at each time step, and subsequently amalgamated them during the process of rationalizing the Tree list.

Figure 5 illustrates the recruitment submodel, which predicts regeneration within each species group, standardises it to the total expected recruitment (Vanclay, 1989a), and adds the stem count to a tally of saplings (by species class).

Because recruitment adds additional tree records, the Tree record submodel is no longer a list with fixed membership (like the input file with multiple outlines bottom right), but is denoted as a population (denoted by multiple outlines top left) in which the number of records can increase or decrease during the simulation.

This approach minimizes the housekeeping required within the main Tree list submodel, and reproduces the commonly-observed tendency for rainforest recruitment to be clustered in time and space ( e.g., Okuda et al.,1997; Connell and Green, 2000; Nebel et al.,2001; Kariuki et al.,2006).

The Parameters submodel (Figure 6, top right) contains parameters for diameter increment (Anon, 1987), for mortality and recruitment (Vanclay, 1989a), for volume estimation (Anon, 1981), and for harvesting and logging damage (Preston and Vanclay, 1988).

Recruitment impressive.

Controlling recruitment.

Recruitment isn't easy.

First comes the recruitment.

The attempted recruitment failed.