I left academia and basic ecological research decades ago and now work
with environmental data collected by companies in compliance with regulatory
permit requirements. I've bought and read (mostly) all the books I could
find on ecological analyses using R (all but one of Alain Zuur's books,
Legendre & Legendre's 2nd English edition, Mike McCarthy's Bayesian methods
book, and Ben Bolker's book) but cannot find any references to 'communities'
in the indices. I'd greatly appreciate pointers to sources appropriate for
environmental data (which is much sloppier than ecological research data).
The last time I addressed community analyses was my post-doc research
which I published in Freshwater Biology in 1984. Only within the past year
have my clients needed to address issues using benthic macroinvertebrate
assemblages (and fish) in streams. And, since I work by myself, I've no one
with whom to share ideas and discuss approaches; perhaps there's a better
forum than this mail list for this.
The available benthic data has little taxonomic consistency below the
family level. I want to use functional feeding groups rather than taxa as
the basis of comparison because those better reflect conditions in each
stream (collections of biota are made only once per year), and I want to
examine correlations and cause-and-effect relations between biotic
assemblages and water chemistry. There are only a few fish collections,
tool, in the available data.
All ideas are certainly welcome!
TIA,
Rich
Richard B. Shepard, Ph.D. | Integrity - Credibility - Innovation
Applied Ecosystem Services, Inc. |
<http://www.appl-ecosys.com> Voice: 503-667-4517 Fax: 503-667-8863
I have not worked with functional groups, but I'm guessing you could treat
them as you would treat taxa for statistical purposes(?)
For benthic macroinvertebrates I'll strongly argue that functional feeding
groups are better than the mixed taxonomic levels that are usually given
equal weights. So yes, statistical models should work equally well,
particularly if the methods will work with percentages (proportions) which
normalize for different numbers of individuals in the different streams.
I think Vegan's function 'adonis' might be of interest to you. It allows
you to partition variation in a data/distance matrix according to
specified factors (e.g., water chemistry).
Hopet this helps!
I'm sure it will.
Thanks very much,
Rich
Richard B. Shepard, Ph.D. | Integrity - Credibility - Innovation
Applied Ecosystem Services, Inc. |
<http://www.appl-ecosys.com> Voice: 503-667-4517 Fax: 503-667-8863
Theres a book coming out next May by Otto Wildi called "Data Analysis in
Vegetation Ecology" 2nd Edition which includes a lot of R code. While its
aimed at vegetation ecology, a lot of the principles in the book can be
generalised to community analysis in whatever form. It covers ordination,
cluster analysis, some basic GLM and numerous other topics.
Thanks, Alan. With care plant and terrestrial anaimal community measures
can be applied to aquatic organisme. I'll keep watch on this book.
Rich
Richard B. Shepard, Ph.D. | Integrity - Credibility - Innovation
Applied Ecosystem Services, Inc. |
<http://www.appl-ecosys.com> Voice: 503-667-4517 Fax: 503-667-8863
have a look at:
Borcard, Daniel, Francois Gillet, and Pierre Legendre. /Numerical
Ecology with R (Use R)/. 1st Edition. Springer, 2011.
which is the little brother to Legendre's Numerical Ecology, applying
these methods with R.
Eduard,
I have both; looked at the indices rather than the tables of contents.
Thanks,
Rich
Richard B. Shepard, Ph.D. | Integrity - Credibility - Innovation
Applied Ecosystem Services, Inc. |
<http://www.appl-ecosys.com> Voice: 503-667-4517 Fax: 503-667-8863
Rich,
I would suggest checking out the following book -- I find it very useful
and well written, using good case studies and all with R.
Environmental and Ecological Statistics with R (Chapman & Hall/CRC Applied
Environmental Statistics) [Paperback]
Song S. Qian (Author)
? Visit Amazon's Song S. Qian Page
Not to start a debate, but I would suggest considering using
macroinvertebrate metrics such as EPT Richness or Ave. Tolerant Richness or
NonInsect Richness, etc. as your response measures instead of functional
feeding groups but this requires the user to come to a common taxonomic
resolution level -- for each major group make sure all samples have data
aligned at the same level if the taxa occur in those samples. Example, all
Ephemeroptera are ID'd to Genus or Family level for all samples, higher
level specimens are either removed or proportioned into their children.
(See Cuffney's paper on this subject -- attached below).
With the data resolved for taxonomic issues, you can then also use specie
matrix methods of similarity indices such as Bray-Curtis and others that
then allow you to try a variety of multivariate methods -- cluster
analysis, ordinations, ANOSIM, etc.
Just my two cents, HTH
Ian
(See attached file: Cuffney-2007_Ambiguous Taxa_JNABS.pdf)
~^^~~^^^~~~^^~~~^^^^~~~^~~^~~^~~^^~~~^^^~~~^^^^~~^~~^~~^~~~~~^^^^~
Ian R. Waite, Ph.D.
Aquatic Ecologist
USGS - OWSC
2130 SW 5th Avenue
Portland, OR 97201
email: iwaite at usgs.gov
"Sometimes your joy is the source of your smile, but
sometimes your smile can be the source of your
joy."
Thich Nhat Hanh
"We may search the world over for joy but
unless we carry it within us, we will not find it."
Ralph Waldo Emerson
~^^^~~~^^^~~~~^^^~~^^^~~~~^^~~~^~^^^~~~^^^^~~~~~~^^^^^~~~~^^^^~~~~~~
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|Re: [R-sig-eco] Applied Environmental Data Analyses: Water Chemistry and Biota |
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I have not worked with functional groups, but I'm guessing you could
treat
them as you would treat taxa for statistical purposes(?)
For benthic macroinvertebrates I'll strongly argue that functional
feeding
groups are better than the mixed taxonomic levels that are usually given
equal weights. So yes, statistical models should work equally well,
particularly if the methods will work with percentages (proportions) which
normalize for different numbers of individuals in the different streams.
I think Vegan's function 'adonis' might be of interest to you. It allows
you to partition variation in a data/distance matrix according to
specified factors (e.g., water chemistry).
Hopet this helps!
I'm sure it will.
Thanks very much,
Rich
--
Richard B. Shepard, Ph.D. | Integrity - Credibility - Innovation
Applied Ecosystem Services, Inc. |
<http://www.appl-ecosys.com> Voice: 503-667-4517 Fax: 503-667-8863
_______________________________________________
R-sig-ecology mailing list
R-sig-ecology at r-project.org
https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
The available benthic data has little taxonomic consistency below the
family level.
Looking at packages in CRAN brought me to Lester Yuan's bio.infer package
described in the 2007 Journal of Statistical Software special issue on
ecology/environmental data analyses. It is ideal for my needs and I will
contact Lester with the questions I have (such as updating the ITIS database
it uses).
Rich
Richard B. Shepard, Ph.D. | Integrity - Credibility - Innovation
Applied Ecosystem Services, Inc. |
<http://www.appl-ecosys.com> Voice: 503-667-4517 Fax: 503-667-8863