Re: Publications that reference Swarm...

[Margaret Lang / Steve Railsback]

Alex Lancaster wrote:
> 
> Hi folks,

Hi Alex,

I did notice that the user community page was newly organized; it looks
good.

If you follow the link to our project
(http://weasel.cnrs.humboldt.edu/~simsys/) you will find a page labeled
"products" which includes all the reports, pubs, etc. we're working on.
None are the best kind- completed journal articles- and some are still
rough draft reports.

Here are the two products that are far enough along we advertise them.
These are from the fish modeling project in which we use Swarm. I do not
have them in BibTex.

I'm glad you are assembling everyone's products, should be useful to a
lot of people.

Steve

"California Individual-based Fish Simulation System, Trout Instream Flow
Model Formulation",
working draft report by Steve Railsback, Bret Harvey, Steve Jackson, and
Roland
Lamberson. Prepared for: Humboldt State University, Department of
Mathematics, Arcata CA. This report documents the formulation of our
stream trout model, including how we
simulate stream habitat and trout spawning and reproduction, movement,
foraging and growth,
and mortality. 

"Movement rules for individual-based models of stream fish", draft
manuscript submitted to
Ecological Modelling. S. F. Railsback, R. H. Lamberson, B. C. Harvey,
and W. E. Duffy. Its
abstract: 

          Spatially explicit individual-based models use movement rules
to determine when an
          animal departs its current location and to determine its
movement destination; these rules
          are therefore critical to accurate simulations. Movement rules
typically define some
          measure of how an individual's expected fitness varies among
locations, under the
          assumption that animals make movement decisions at least in
part to increase their fitness.
          Recent research shows that many fish move quickly in response
to changes in physical and
          biological conditions, so movement rules should allow fish to
rapidly select the best location
          that is available and accessible and not impose randomness or
time lags on movement. The
          theory that a fish's fitness is maximized by minimizing the
ratio of mortality risk to food
          intake is not applicable to typical individual-based model
movement decisions and can
          cause serious errors in common situations. Instead, we
developed fitness measures from
          unified foraging theory that are theoretically and
computationally compatible with
          individual-based fish models. One such fitness measure causes
a fish to select habitat that
          maximizes its expected survival over a specified time horizon,
considering both starvation
          and non-starvation risks. This fitness measure is dependent on
the fish's current state,
          making fish with low energy reserves more willing to accept
risks in exchange for higher
          intake. A second measure represents expected reproductive
maturity by multiplying
          expected survival by a factor representing how close to the
size of first reproduction the
          fish grows within the time horizon.

-- 
address@hidden
Lang, Railsback & Assoc.
250 California Ave., Arcata CA 95521
707-822-0453; Fax 822-1868


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