COMM: a Progam for Computer-Aided Analyses of
ecological field data
Short Description:
The computer program COMM has been developed to assist
ecologists in the analyses of medium-sized species-station-
tables commonly generated in ecological field investigations.
The program features a menu and window environment, and
- optionally - mouse support (COMMM.BAT). It runs on IBM
PCs and compatibles with 640K of RAM memory. Supported output
devices are an Epson-compatible lineprinter and a HP-compatible
plotter.
Species-station-tables with up to 12,000 cells (species
in rows, stations in columns, in addition species names
and station labels) can be entered, loaded/saved from/to
an ASCII- file, edited and printed.
For each station several diversity parameters can be computed
(e.g. after Shannon-Weaver, Margalef, Simpson, Pielou, Heip).
In addition, up to six external station-specific parameters
(such as depths, temperatures, etc.) may be entered. The
entire set of station parameters can be printed and/or saved
to an ASCII-file for interfacing other programmes.
For each species a set of parameters can be computed (minimum,
median, mean, and maximum of scores, constancy, dominance,
Biological Index after McCloskey (1970)). The whole set
of species parameters can be printed and/or saved to an
ASCII- file for interfacing other programmes.
Species and/or stations may be sorted in ascending or
descending order by species-specific and station-specific
parameters. Data may be standardized and/or transformed
(percentages, Z-values, ranks, logarithms, roots, abundance
codes, dominance codes) prior to further analyses.
Cluster analyses may be performed to delimitate faunistic
zones (Q-analysis: classification of stations) or species
assemblages (R-analysis: classification of species). Eight
resemblance measures are available (Jaccard, Sorenson, Simple
Matching, Percentage Similarity, Canberra, Bray-Curtis,
Euclidean Distance, Pearson correlation, Spearman rank correlation).
The symmetric resemblance matrix can be printed and/or saved
to an ASCII-file for further analyses like multidimensional
scaling being performed by other programmes. For object
classification, various agglomerative clustering methods
are available (e.g. single linkage, complete linkage, average
linkage, flexible strategy). A dendrogram as illustration
of the resemblance structure can be displayed at the screen
and may also be printed and/or plotted.
Subsets of the species and/or stations may be selected,
either manually or automatically by various criteria. All
analyses may be performed with any table subset. In case
of station selection, two measures of fidelity (degree of
association) are computed for each species to assist in
the identification of indicator species of the station group
selected.
Reference:
Piepenburg D, Piatkowski U (1992) A program for computer-aided
analyses of ecological field data. CABIOS 8(6): 587-590.
Dieter Piepenburg
Institut fuer Polaroekologie
Universitaet Kiel
Wischhofstr. 1-3, Geb. 12
D-24148 Kiel Germany
ph: +49 431 72087 64
fax: +49 431 72087 20
e-mail:npf32@rz.uni-kiel.d400.de
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