FAGERLND
A Program for Exploring and Calibrating
Pollen/Vegetation Relationships
The FAGERLND program was developed to apply the Extended R-Value (ERV)
models of Parsons and Prentice (Parsons et al. 1980, Parsons & Prentice
1981, Prentice & Parsons 1983) to pollen-vegetation calibration. The
ERV models were designed as a solution to "the Fagerlind effect", in which
non-linearities arise in modelling a percentage variable as a function
of another precentage variable. The FAGERLND program is discussed in detail
by Jackson et al. (1995), which provides citations for all relevant papers
through 1994. Jackson and Kearsley (1998) provide a critical review of
the assumptions of the ERV models, and Sugita (1994) describes an alternative
formulation with applications.
DOWNLOADING THE PROGRAM
FAGERLND is a DOS or Windows compatible program. The following are required
to run FAGERLND:
-
IBM compatible PC with at least an 80286 processor, at least an 80386SX
preferred
-
Windows 3.1 or later running in standard or enhanced mode, enhanced mode
preferred
-
80486 processor or 80x87 numeric coprocessor (other math processors such
as the Weitek are not acceptable)
-
At least 2 Mb RAM, 4 Mb RAM preferred
-
At least 1 Mb free space on your hard drive for the program and data files.
You may download a self-extracting copy of FAGERLND (fgrlnd.exe)
for your own use. Place the file in a directory and double click on it
to extract the program files. Sample data sets (modersiz.exe
and mosssne.exe)
are also avalilable. Each data set should reside in its own directory.
Alternatively, you may download FAGERLND from the ftp site at Northern
Arizona University. You will also want the contents of the modersiz
and
mosssne subdirectories (these are sample
data sets) at that site. Each data set should reside in its own directory.
Literature Cited
Jackson, S.T. & J.B. Kearsley. 1998. Quantitative representation
of local forest composition in forest-floor pollen assemblages. Journal
of Ecology, 86, 474-490.
Jackson, S.T., Webb, T. III, Prentice, I.C. & Hansen, J.E.
1995. Exploration and calibration of pollen/vegetation relationships: a
PC program for the extended R-value models. Review of Palaeobotany and
Palynology, 84, 365-374.
Jackson, S.T. and Wong, A. 1994. Using forest patchiness to
determine pollen source areas of closed-canopy pollen assemblages. Journal
of Ecology, 82, 89-100.
Parsons, R.W. and Prentice, I.C. 1981. Statistical approaches
to R-values and the pollen-vegetation relationship. Review of Palaeobotany
and Palynology, 32, 127-152.
Parsons, R.W., Prentice, I.C. & Saarnisto, M. 1980. Statistical
studies on pollen representation in Finnish lake sediments in relation
to forest inventory data. Annales Botanici Fennicae, 17, 379-393.
Prentice, I.C. and Parsons, R. W. 1983. Maximum likelihood linear
calibration of pollen spectra in terms of forest composition. Biometrics,
39, 1051-1057.
Sugita, S. 1994. Pollen representation of vegetation in Quaternary
sediments: theory and method in patchy vegetation. Journal of Ecology,
82, 881-897.
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Questions? Comments?
Contact Steve Jackson at jackson@uwyo.edu
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