recruitment: Calculate recruitment rates.

In forestgeo/ctfs: Tools for the Analysis of Forest Dynamics

Description

Recruitment is the main function for calculating recruitment rates. It is constructed like growth() and mortality(). It requires two complete datasets, one per census, with dbh, pom, and date for every individual of all species in at least 2 censuses.

It can then calculate mortality based on up to user-submitted factors. The two datasets have exactly the same individuals, in exactly the same order, one individual per row.

Usage

recruitment(census1, census2, mindbh = 10, alivecode = c("A", "AB",
  "AS"), split1 = NULL, split2 = NULL)

Arguments

census1	The R Analytical Table for a single census, either tree or stem.
census2	The matching R Analytical Table for a later census.
mindbh	The minimum diameter above which the counts are done. Trees smaller than mindbh are excluded. If NULL, all living trees are included.
alivecode	character, codes of the variable status that indicate the tree is alive. The default 'A' is the standard CTFS designation for living trees or stems
split1	a vector of categories, one per individual
split2	another vector of categories, one per individual

Details

Recruitment is based on status and dbh. Any status indicating a live tree can be submitted in the variable alivecode. Survivors are all individuals alive in both censuses, with status == A in the first census, and larger than the minimum dbh in the first census. The total population in the second census includes all those alive, above the minimum dbh, plus any other survivors.

As in mortality(), individuals whose status is NA in either census are deleted from all calculations.

See Also

fill.dimension() and find.climits().

forestgeo/ctfs documentation built on May 3, 2019, 6:44 p.m.