Taxonomya

Taxonomya is a theoretical framework for organizing biological diversity that emphasizes an integrated, data-driven approach to taxonomy. It is discussed in scholarly work as a paradigm rather than a formal, universally adopted standard.

Core principles include prioritizing monophyletic groups, integrating phylogenetic information from genomics, morphology, and ecology, and using computational methods to assemble and update classifications. Taxonomya accommodates traditional Linnaean ranks where consensus exists, but it favors dynamic, concept-based naming tied to explicit taxon concepts and reference data. Data interoperability and transparent provenance are essential, with versioning for taxon concepts, character matrices, and specimen or genome references.

Taxonomya envisions taxonomic concepts as nodes linked by relationships such as ancestry, diagnostic characters, and geographic distribution. Names may be connected to concept identifiers rather than fixed ranks, enabling revisions when new evidence appears. The approach relies on open data standards, reproducible workflows, and community governance to resolve conflicts and maintain a shared understanding of taxa.

Originating in contemporary biodiversity informatics discussions, Taxonomya is described as either a complement to or an evolution of traditional taxonomy. Proponents cite greater transparency, reproducibility, and compatibility with large-scale data, while critics warn of possible confusion with established nomenclature, governance challenges, and the risk of political influence on taxonomic decisions.

See also: phylogenetic nomenclature, biodiversity informatics, Tree of Life projects.