Re: [MORPHMET] Test whether two independent structures correlate in shape variation

2017-07-07 Thread Joseph G Kunkel
Alexander,

The image you shared is a curious mix of homologous and non-homologous points.  
I would chose points that can be found in each individual of the species in 
both fore and hind wings.  That is the only way a comparison can be made with 
traditional landmark analysis.  Your forewing landmark# 52 corresonds to a 
hindwing landmark #58 and hindwing #59 does not have a homologous forewing 
landmark.
In addition forewing landmarks 1 and 7 seemingly correspond to hindwing 1 and 
15.  In my experience, these cross vein landmarks are quite variable from 
individual to individual within a species … a larger specimen will have more 
crossveins between homologous landmarks such as forewing #31 and 53 and 60 and 
10, … which appear homologously in all Anisoptera and perhaps all Odonata.  You 
have named these ‘true’ order-wide landmarks in the hind wing 37, 60, 29 and 10 
… a mix of similar and different designations.  Lesson, do not use minor cross 
veins as landmarks and learn the basic vein naming and branching of Odonates to 
guide you in chosing landmarks to use. 
Foregive me if I sound derisive but I can not see how your naming of landmarks 
would work or how you could use them to compare the shape of front and hind 
wings.

Look at this poster for a set of hindwing landmarks but know that the for and 
hindwings have some differences in the availability of homologous landmarks, 
URL:

http://www.bio.umass.edu/biology/kunkel/pub/reprints/Warrell_SympetrumPoster-S2014.pdf

Joe
-·.  .· ·.  .><º>·.  .· ·.  .><º>·.  .· ·.  .><º> .··.· >=-   
=º}><
Joseph G. Kunkel, Research Professor
122C/125 Pickus Center for Biomedical Research
Marine Science
University of New England
Biddeford ME 04005
http://www.bio.umass.edu/biology/kunkel/

> On Jul 7, 2017, at 6:18 AM, Alexander Blanke 
>  wrote:
> 
> Dear all,
> 
> the world of morphometrics is relatively new to me, so forgive me if this 
> question is an old hat:
> 
> I would like to know whether two structures, which are not connected to each 
> other, show concerted shape variation (potentially in response to functional 
> demands which act on both structures in the same way).
> 
> The example here are dragonfly fore- and hindwings. To test whether these two 
> structures show correlated shape variation I created a set of landmarks like 
> in the attached file. However, I am a bit unsure how to proceed. Obviously it 
> is not advisable to use tests which require one set of landmarks which have 
> been Procrustes superimposed since we are talking here about two independent 
> structures which are not attached to each other (Fore- and hindwings can vary 
> in their position to each other which has nothing to do with a real “shape 
> signal” but is simply due to the placement of the wings when capturing the 
> images).
> 
> I think I need to perform two independent Procrustes superimpositions and go 
> from there. If I understood correctly, it is then not possible to use 
> functions such as the integration.test in geomorph since all partitions used 
> in this test need to stem from one set of Procrustes aligned landmarks. Maybe 
> I am too focused on tests concerned with integration and modularity…
> 
> My search in the literature was so far not successful since most of the tests 
> of modularity and integration concern connected structures. My expectation 
> for the wings is that fore- and hindwings show correlated shape variation due 
> to the functional demands of flight. Certain parts of the forewing will 
> “influence” the hindwing shape due to alterations of the flight performance. 
> I have gathered a few functional parameters to do further testing of this 
> hypothesis (the total dataset contains 192 species each with ~122 landmarks) 
> but first I want to get this shape analysis right.
> 
> If I missed literature on that topic I would be grateful for any hint to 
> further reading.
> 
> Thanks in advance for your thoughts,
> 
> Alex
> 
> 
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Re: [MORPHMET] Test whether two independent structures correlate in shape variation

2017-07-07 Thread morphmet
Rohlf, FJ, and M Corti. “Use of Two-Block Partial Least-Squares to Study 
Covariation in Shape.” SYSTEMATIC BIOLOGY 49, no. 4 (December 2000): 740–53.


-ds

On 7/7/17 6:18 AM, Alexander Blanke wrote:

Dear all,

the world of morphometrics is relatively new to me, so forgive me if
this question is an old hat:

I would like to know whether two structures, which are not connected to
each other, show concerted shape variation (potentially in response to
functional demands which act on both structures in the same way).

The example here are dragonfly fore- and hindwings. To test whether
these two structures show correlated shape variation I created a set of
landmarks like in the attached file. However, I am a bit unsure how to
proceed. Obviously it is not advisable to use tests which require one
set of landmarks which have been Procrustes superimposed since we are
talking here about two independent structures which are not attached to
each other (Fore- and hindwings can vary in their position to each other
which has nothing to do with a real “shape signal” but is simply due to
the placement of the wings when capturing the images).

I think I need to perform two independent Procrustes superimpositions
and go from there. If I understood correctly, it is then not possible to
use functions such as the integration.test in geomorph since all
partitions used in this test need to stem from one set of Procrustes
aligned landmarks. Maybe I am too focused on tests concerned with
integration and modularity…

My search in the literature was so far not successful since most of the
tests of modularity and integration concern connected structures. My
expectation for the wings is that fore- and hindwings show correlated
shape variation due to the functional demands of flight. Certain parts
of the forewing will “influence” the hindwing shape due to alterations
of the flight performance. I have gathered a few functional parameters
to do further testing of this hypothesis (the total dataset contains 192
species each with ~122 landmarks) but first I want to get this shape
analysis right.

If I missed literature on that topic I would be grateful for any hint to
further reading.

Thanks in advance for your thoughts,

Alex

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