I'm searching for any dataset that includes information of species interactions measured at different sites and times (so that spatial & temporal covariance of species is provided). The idea is to test whether or not, and to what extent, food web properties can be predicted from 'easy-to-collect' data (species presence, absence etc.).
Hello
I have 3 sets of island data that might be of some help.
A.
It is full soil fauna (excluding protists) data set + plants on 22 islands (727 species of animals +355 plants). Animals are divided into trophy categories. The first paper is already published here: http://www.sekj.org/PDF/anz49-free/anz49-161i.pdf
There are also important defects of the data
- Sampling effort unknown: main idea of project (year 1973-1983) was creation of faunistic list + showing differences between habitats. There was diverse sampling effort, and that effort is unknown now. The largest island where station was based is studied very well and it might serve as species pool information.
- Abundance of species is unknown
- there is no information on times series
B.
There are also data from my studies on three lake islands archipelagoes. There are data sets for
1. carabids (ca 110 species, ca 50 islands) ; species divided into 3-4 dispersal categories,
2. spiders (ca 180 species, ca 23 islands) we divided species into dispersal categories,
3. plants (ca 300 species, ca 50 islands) we have seed size and what is rare for plants abundance (not Braunblanqet cover),
4. Heteropterans (ca 60species, ca 23 islands) data are for island level not fro trap level,
5. Small Mammals (ca 7 species and only 300 individuals, ca 23 islands) data set is still not in excel format.
C. Stable isotope (C and N) data on 59 carabid species (35 species with decent sample size) collected on 20 islands
You are welcome to play with that data
Hi,
I think if you study the ENFA , you will achive to suitable answers, because the base of ENFA is on the presence and absence data set and it would be studied on many Species. you can find many publication that are related to your aim.
good luck
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