The Systems Measurement of Mammalian Biotas, Part Two.
Charles H Smith1, Patrick Georges2, Ngoc Nguyen3
1Western Kentucky University (Prof. Emeritus), Bowling Green, KY 42101, USA.
Life (Basel, Switzerland)
|November 25, 2023
Summary
A new seven-region model reveals mammal family distribution patterns, suggesting spatial self-organization in macroevolution. This framework aids in classifying faunal statuses and re-examining biogeographic concepts.
Area of Science:
- Biogeography
- Macroevolutionary Biology
- Spatial Statistics
Background:
- Previous research identified a seven-region model for mammal family distribution.
- This model highlights equal contribution to overall diversity despite varying regional endemism.
Purpose of the Study:
- To analyze the seven-region mammal family distribution model using combinatorics.
- To explore macroevolutionary patterns and spatial self-organization.
- To assess the model's application in areal representation and biogeographic concept re-examination.
Main Methods:
- Application of combinatorial analysis to assess the spatial arrangement of mammal family distribution.
- Statistical characterization of faunal statuses using world patterns.
- Illustration using the conterminous United States as a bounded area.
Main Results:
- The seven-region model closely approximates a most-probable-state arrangement.
- Demonstrated the potential for spatial self-organization in macroevolutionary patterns.
- Showcased the utility of statistical moments for characterizing faunal distribution.
Conclusions:
- The study provides a robust model for understanding mammal family distribution.
- Findings suggest macroevolutionary patterns may exhibit spatial self-organization.
- The approach offers a quantitative method for re-evaluating classical biogeographic concepts.
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