I need package to conduct mid-domain effect analyses for community data. Is there any package implementing this function?
Levan,
Seems like I am bumping into you quite a bit! Here is a link to Rob Colwell's software: http://viceroy.eeb.uconn.edu/RangeModel/
And here is the citation / paper for how it works: Colwell, R.K. (2008) RangeModel: tools for exploring and assessing geometric constraints on species richness (the
mid-domain effect) along transects. Ecography, 31, 4–7.
Hi Levan,
There is a recent package in R: package 'rangemodelR v0.1'.
URL: https://cran.r-project.org/web/packages/rangemodelR/index.html
Would recommend you to try this one.
Thanks,
Nachiket
The package was removed from CRAN; You know of any new?
Could it be that this alternative is still valid?: http://viceroy.eeb.uconn.edu/RangeModel/index.html
The alternative (Colwells software) is valid and primary source for MDE simulation
Hi all, I am preparing a lecture on marine diversity and would like to explain the mid-domain effect using some sort of practical game. Anyone knows if there is a way to explain the effect of geographical constrains in producing overlapping species range and thus creating a peak of sp richness towards the center of the distribution?
Thanks for all the suggestions
Miguel
I think the seminal paper of Colwell and Lees (2000) ( http://viceroy.eeb.uconn.edu/RKCPublications/ColwellAndLees2000a.pdf ) is the best to show the role of geometric constraints in producing mid-peak.
Hi Levan,
thanks for the paper. It is extremely helpful. However, I am interested in creating a more interactive way to illustrate the MDE. I have read somewhere that you can use a box and pencils of different colours to represent different sp ranges and throw them randomly into the box. The prediction is that the average range of colour pencils will be concentrated in the centre of the box... Not sure if this works tough! Anyway, thanks for the paper.
Miguel
yes, I think you can use such kind of practical example, however, if one wants to clearly demonstrate MDE better use one dimensional (one factor) gradient. Let say box and pencils, though the box must be narrower and longer (for instance 5cm X 45 in order to restrict pencils (ranges) arrange only one direction. Otherwise it will be difficult to visualize the range distribution. on the other hand you can also use square box and many different size paper circles. This will allow you to use two dimensional space and approximate differential range sizes of species. Here to you will get mid pick.
- Badges
- Science topic
- Similar topics
- Mathematics
- Statistics
- Statistical Software
- R