4.6 Article

Species as a Heuristic: Reconciling Theory and Practice

期刊

SYSTEMATIC BIOLOGY
卷 71, 期 5, 页码 1233-1243

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OXFORD UNIV PRESS
DOI: 10.1093/sysbio/syab087

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资金

  1. Biotechnology and Biological Sciences Research Council (UKRI-BBSRC) as part of the Interdisciplinary Biosciences Doctoral Training Partnership at the University of Oxford
  2. Biotechnology and Biological Sciences Research Council research grant [T001445/1]

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Species are crucial in biological research but are controversial in terms of definition and delimitation. Treating species as a heuristic can provide a consistent approach that reconciles theoretical concepts with practical applications. By analyzing and integrating genotypic, phenotypic, and ecotypic data, a loose but relatively consistent definition of species can be established.
Species are crucial to most branches of biological research, yet remain controversial in terms of definition, delimitation, and reality. The difficulty of resolving the species problem stems from the tension between their theoretical concept as groups of evolving and highly variable organisms and the practical need for a stable and comparable unit of biology. Here, we suggest that treating species as a heuristic can be consistent with a theoretical definition of what species are and with the practical means by which they are identified and delimited. Specifically, we suggest that theoretically species are heuristic since they comprise clusters of closely related individuals responding in a similar manner to comparable sets of evolutionary and ecological forces, whilst they are practically heuristic because they are identifiable by the congruence of contingent properties indicative of those forces. This reconciliation of the theoretical basis of species with their practical applications in biological research allows for a loose but relatively consistent definition of species based on the strategic analysis and integration of genotypic, phenotypic, and ecotypic data. [Cohesion; heuristic; homeostasis; lineage; species problem.]

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