Basically driven by seasons. During low water, low flow in the summer much of the stream bed is covered by emergent plants. This begins to shift in October with autumnal rains and higher flows as the plants die back and are physically scoured out of much of the stream bed. Emergent plants come back strong in May. The total dissolved solids is always about the same, ~180 ppm, and pH drops from near 8 in warm weather with higher rates of photosynthesis taking up available CO2, down to about 7.4 in the colder months. Different macroinvert taxa have different life cycles, and from the four or five months of gut contents analysis we've done we see that the telescope & scarlet shiners are opportunistic rather than selective with feeding (not a surprise). The one surprising thing to me with shiner diet is that they seem to eat a large amount of benthic insects such as waterpennies and relatively large water beetles, rather than a mostly drifting diet like I originally assumed. I would've expected that of darters, whose guts we haven't examined (another research project!). Once we have a year's worth of data we could copy Todd and do some form of CCA for shifting availabilities. I used to have a Fortran version of NMDS, but I'd have to think (review, really) about if that would be appropriate. We'll see...Bruce are you seeing these shifts driven by seasons or other freerunning forces?

Bluebreast Migration
#21
Guest_fundulus_*
Posted 05 December 2009 - 02:23 PM
#22
Guest_farmertodd_*
Posted 05 December 2009 - 03:29 PM
#23
Guest_fundulus_*
Posted 05 December 2009 - 05:01 PM
Or, non-metric multidimensional scaling. But it is a non-parametric technique using isotonic regression with ordinal data.So is NMDS non-parametric multidimensional scaling?
#24
Guest_ashtonmj_*
Posted 05 December 2009 - 05:10 PM
So is NMDS non-parametric multidimensional scaling?
The main reason I mentioned more reporting exact values and confidence intervals is I've been on a kick away from null hypothesis testing. As you said, replicates and larger sample sizes are often lacking, but I've seen in some of my own stuff where supposed strong differntial use of a resource was probably ecologically meaningless because the mean+-SE of the two samples were almost too precise. Like is a mean depth of 25 cm really different than a mean of 29? It is when sample sizes are large, but in the natural world probably not so much, especially when it is probably related back to discharge and availability. The big table of tukey comparisons is compelling but probably presents a stronger case in the end if it can be referenced to sample means and a measure of precision or error.
Since you're using near bottom velocity a measure of substrate roughness might provide some valuable information. Just conceptually, bottom velocities at the point of a Nothonotus observation are often influenced by cobble, boulder presence, in comparison to flabellare, which can be on the smooth as glass shallow gravel. Their water column and near bottom velocities are probably inverse because of depth, but especially roughness.
If you have the chance to read Analysis of Ecological Communities definately take advantage of it (rather than listing a bunch of pubs on using NMS/NMDS instead of PCA, CCA, DCA, etc.) As far as stats books go its actually really cheap! I like PCA and CCA as a resource/community screening tool because it can also provide visual aide through a plot (instead of a Pearson/Spearman matricie or pair wise comparisions). Since you mentioned potentially having measurements across multiple scales NMS or MRPP (multireponse permutation procedure) may be more appropriate than the old horses of factor rotations. All sounds good though!
We'd never have any time to post anything here, that's for sure.
#25
Guest_farmertodd_*
Posted 07 December 2009 - 10:36 AM
I've been really thinking about about that discharge thing. Depth, I think, is important, since flow is the same at that sample point as it is in a shallower sample point... I'm finding that they just don't care for anything faster than 0.6 m/sec except in cases of really large variatum which will tolerate up to 0.8 m/sec. And then maculatum was found in "slow" flows. But this is just because of compensation within Area = width depth - and I need a way to think about in terms of volume. Now, how to easily pick that all apart? Maybe I compress depth and flow. That seems simple enough.
Todd
#26
Guest_farmertodd_*
Posted 17 December 2009 - 08:16 PM
We did another CCA by individuals that were distinctly male (M), female (F) or juvenile (J).

We also ran a trial of NMDS to classify our sites and see how the species fell among them. It helped us to visually determine that Raccoon Creek was an outlier (it visibly was the least like the others, with tons of Ohio Black Shale in the bedding). I need to understand this procedure better and get a handle on distance, and what it means.

And thus got a look again without the influence of nigrum.

We also tried this by males only, but I can only tell you that it gave us a similar pattern with indistinct "shifts". That's a nice technique tho Matt. I did some reading, and that book came in yesterday.
Another book that I've found useful is this one: http://home.centuryt...t/~mjm/book.htm
Looking forward to a morning of Mantel tests and Sorensen tomorrow

Todd
#27
Guest_fundulus_*
Posted 17 December 2009 - 08:43 PM

A point within an area of the matrix generated by NMDS has a rotational relationship to neighboring points like one of the parts in a Calderesque mobile. I don't know if that makes immediate sense, but that's what the "dimensional scaling" of NMDS establishes. In a word, it's not a rigid structure but parts move both independently and relative to each other.
#28
Guest_ashtonmj_*
Posted 17 December 2009 - 09:43 PM
With the exception of variatum, I do see the ontogenetic pattern Bruce mentioned. I think that notion of juvenilles using a lesser extreme of available habitat compared to their adult counterparts is pretty well supported. I found it to a lesser extent multivariately with tanasi, but it was undoubtedly clouded because of my huge sample size and their confound behavior to school. Univariately it was very strong, just when you throw it all together in the real world configuration that is habitat variables in a 3-d interconnected world it tends to muddle. The species locations are means correct? So a 95% confidence interval about those means could be interesting...if they don't overlap, you've essentially done the pairwise comparison within multivariate space (see example in Skyfield and Grossman 2008). Interesting to see female variatums out on an island of the fastest velocity...
0.8 m/sec velocity at near bottom is ripping! I know I pretty much stopped observing any darters around 0.5 m/sec and if it was any faster with moderate depth it probably ment it wasn't very effective snorkeling either. God I wish I would have taken measurements on other species...
#29
Guest_farmertodd_*
Posted 20 December 2009 - 12:35 PM
Matt, don't worry, I already told him, even before you brought it up

Yeah, those 0.80 m/sec are super fast, wide, shallow gravel runs in the complex. I guess that's what habitat you get to hang out in when you have sails for pectoral fins. And yes, I'm going to look at the variegate species cloud to see how much overlap there is. It's just as interesting to me that there's no apparent ontogenic shift as that crazy line you see for spotted darter!
The other thing I find interesting is what seems to be a higher affinity for juvenile cosmopolitan species for sand.
Another thing I thought of when watching my stream table last night was compressing depth and flow into a single "volume" factor. That might "linearize" the species a little more (accounting even more for the differences between variegate and spotted habitat, for example).
Again, thanks so much for your time looking at this. I really appreciate your thoughts and comments.
Todd
#30
Guest_fundulus_*
Posted 20 December 2009 - 02:24 PM
#31
Guest_farmertodd_*
Posted 22 December 2009 - 03:32 PM

How are you working out flow? By giving a 1m / sec reading, I'm going to guess you're using the "egg of science" neutrally buoyant object? I think that's what's been most key to this puzzle was having the Marsh McBirney, but they cost a ton. One of the other high school teachers in my fellowship program just bought a much less expensive electromagnetic flow meter, I can look into that and what he thought of it, if you're interested.
Todd
#32
Guest_fundulus_*
Posted 22 December 2009 - 03:56 PM
#33
Guest_ashtonmj_*
Posted 22 December 2009 - 06:50 PM
#34
Guest_fundulus_*
Posted 22 December 2009 - 07:33 PM
#35
Guest_farmertodd_*
Posted 22 December 2009 - 08:09 PM

Perhaps you can put a water quality spin on it (using these species as a "response variable") and get some funding help from EPA or a local watershed group? (or all of the above)
The object that we liked best when using your method was a plastic easter egg. You could fill it to the perfect level. Thus our "Egg of Science" theme

Todd
Edited by farmertodd, 22 December 2009 - 08:10 PM.
#36
Guest_fundulus_*
Posted 22 December 2009 - 08:28 PM
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