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PERSPECTIVE METAZOAN COMPLEXITY AND EVOLUTION: IS THERE A TREND?
1Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, New Mexico, 87501.
Summary
Evolutionary complexity is often assumed to increase, but evidence is impressionistic. This study proposes a new scheme for objectively measuring complexity, revealing four independent types and their evolutionary trends in metazoans.
Area of Science:
- Evolutionary biology
- Paleontology
- Developmental biology
Background:
- The concept of increasing complexity in evolution is widely accepted but lacks objective measurement.
- Existing evidence for evolutionary complexity trends is largely impressionistic.
Purpose of the Study:
- To propose a conceptual scheme for objectively measuring evolutionary complexity.
- To identify and categorize different types of complexity.
- To review evidence for trends in evolutionary complexity.
Main Methods:
- Development of a conceptual scheme for understanding and measuring complexity.
- Categorization of complexity into four independent types.
- Review of existing measures and evidence for trends in maximum and mean complexity.
Main Results:
- The proposed scheme provides a basis for objective measurement of complexity.
- Complexity encompasses four distinct, independent types.
- Evidence for evolutionary complexity trends is limited, with a clear trend only observed in early Phanerozoic metazoans for one type of complexity.
- Trends in other complexity types are documented but only within specific metazoan subgroups.
Conclusions:
- Objective measurement of evolutionary complexity is possible through a structured scheme.
- Evolutionary complexity is multifaceted, comprising four independent types.
- While some complexity trends exist, robust evidence across metazoans is scarce, particularly outside the early Phanerozoic and for specific complexity types.
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