Because of limited sampling, all but the most common species are known from small numbers of specimens, and the available specimens and distributional records are inadequate to determine taxonomic and distributional boundaries, especially for similar-looking species (or subspecies) that inhabit the same areas, so are frequently misidentified.
Consideration of M. namaquensis diversity within a biological species concept (BSC) framework would require accurate delineation of the distributional boundaries of the identified lineages and mapping of areas of overlap through further sampling and genetic analyses.
Rather than invoking unrealistic long-distance dispersal (e.g. [ 13]) or ecological niche shifts (e.g. [ 14]) to explain discordant genetic structure and predicted paleo-distributions, species may simply have persisted in scattered microrefugia that supported isolated, low-density populations beyond their inferred distributional boundaries during the Pleistocene [ 12].
For many other species whose range partially overlaps the CVT (e.g., Colomesus psittacus, Paralabrax dewegeri, and Genyatremus luteus), their western distributional limit coincides with the Santa Marta-La Guajira boundary, around the PNNT.
To derive existence and comparison results for extremal solutions of nonlinear singular distributional initial value problems and boundary value problems.
This paper is devoted to the study of existence and dependence of solutions of the first-order periodic boundary value problems involving the distributional Henstock-Kurzweil integral.
We saw no significant hotspot distributional biases with respect to chromosomal arm/core boundaries (p-value 0.9618, Figures 2, 3 and 4).
In the present paper, we investigate the existence of solutions to second order nonlinear boundary value problems (BVPs) involving the distributional Henstock-Kurzweil integral.
Distributional information, by contrast, consists of "knowledge about the distribution of outcomes in similar situations".
This not only suits the distributional property of health utility index, but also guarantees the predicted values would not exceed the boundary of 1.
