Within each pool, over 8 years, we determined the species, number and percent of pool covered by each species. *I analyzed all that data with one and two-way anova's, and matched pairs analysis. *The data I'm having trouble with was collected by another researcher, with a different data need, so its not at all like what we have, but does contain useful information.

The data are organized like this:

Species Group Species Natural Constructed

V Pool Sp A <20 >20

V Pool Sp B 0 <20

V Pool Sp C <20 >20

V Pool Sp D <20 >20

V Pool Sp E 0 >20

NON-VP WETLAND A <20 >20

NON-VP WETLAND B 0 <20

NON-VP WETLAND C 0 >20

NON-VP WETLAND D <20 0

NON-VP WETLAND E 0 >20

NON-WETLAND F <20 0

NON-WETLAND G 0 >20

NON-WETLAND H >20 >20

NON-WETLAND I <20 0

NON-WETLAND J 0 >20

There are 10 natural vernal pools, and 24 constructed pools. *What I need is a statistical test to determine if there is a significant difference between the two types, and someway of graphically showing such differences if possible.

We've never dealt with > < data values before, and am at a loss as to how to proceed; but I am sure the data contain information that will be useful for the study. *Any assistance will be greatly appreciated.

I am aware of Cochran's Q for dichotomous data, but as you see above, I have 3 values, 0, <20 and >20. Seems to me assigning a '1' for the < and > data means loss of important information. Any suggestions on how to analyze such a data set?