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A protocol for the creation of useful geometric shape metrics illustrated with a newly derived geometric measure of leaf circularity.


ABSTRACT:

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Premise of the study

I present a protocol for creating geometric leaf shape metrics to facilitate widespread application of geometric morphometric methods to leaf shape measurement. •

Methods and results

To quantify circularity, I created a novel shape metric in the form of the vector between a circle and a line, termed geometric circularity. Using leaves from 17 fern taxa, I performed a coordinate-point eigenshape analysis to empirically identify patterns of shape covariation. I then compared the geometric circularity metric to the empirically derived shape space and the standard metric, circularity shape factor. •

Conclusions

The geometric circularity metric was consistent with empirical patterns of shape covariation and appeared more biologically meaningful than the standard approach, the circularity shape factor. The protocol described here has the potential to make geometric morphometrics more accessible to plant biologists by generalizing the approach to developing synthetic shape metrics based on classic, qualitative shape descriptors.

SUBMITTER: Krieger JD 

PROVIDER: S-EPMC4141713 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature

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A protocol for the creation of useful geometric shape metrics illustrated with a newly derived geometric measure of leaf circularity.

Krieger Jonathan D JD  

Applications in plant sciences 20140812 8


<h4>Unlabelled</h4><h4>Premise of the study</h4>I present a protocol for creating geometric leaf shape metrics to facilitate widespread application of geometric morphometric methods to leaf shape measurement. •<h4>Methods and results</h4>To quantify circularity, I created a novel shape metric in the form of the vector between a circle and a line, termed geometric circularity. Using leaves from 17 fern taxa, I performed a coordinate-point eigenshape analysis to empirically identify patterns of sh  ...[more]

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