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To infer whether the morphological relationships are correlated with the genetic relationships, we compared the morphometric dataset with a phylogeny reconstructed from the combined dataset of three mtDNA and one nuclear DNA regions.
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Quadratic discriminant function analysis (DFA) correctly assigns 72% of samples using the morphometric dataset and just 64% with meristic characters.
A morphometric dataset was constructed by measuring/counting 28 characters in 40 species; 17 characters were continuous, and 11 characters were meristic (Table 1; Figure S4).
Our complete morphometric dataset consisted of 522 images and 90 nematode species (an average of 4.8 images per species or morph).
Since the first principal component of the morphometric dataset proofed to be mainly influenced by the standard length, it was not used for analysis.
The pattern of spatial structure resolved for both genetic and geometric morphometric datasets does not correlate with the current taxonomic designations of B. dorsalis s.s., B. papayae and B. philippinensis.
The genetic and geometric morphometric datasets are broadly congruent regarding the biogeographical history of the taxon, albeit with some differences.
These studies demonstrated that SRTM and ASTER DEMs provide reliable datasets with global coverage that enabled evaluation of morphometric properties and various relief features.
Recently, increasing availability of remote sensing datasets with improved spatial accuracy, advances in computational power and geographical information system (GIS), enable evaluation of morphometric parameters with ease and better accuracy (Grohmann 2004).
We simulated datasets with 3 replicates.
It is concluded that the integration of morphometric analysis with watershed assessment methods would be beneficial in watershed management plan.
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