Final answer:
Artificial systems of classification group organisms based on observable traits, leading to groupings that may not reflect true evolutionary relations. Natural systems use genetic data and embody the evolutionary histories, so they are more stable and reflective of biological relationships.
Step-by-step explanation:
The differences between artificial and natural systems of classification revolve around the criteria used to categorize living organisms. Artificial systems typically group organisms based on observable characteristics like size and shape, leading to classifications that may not accurately represent evolutionary relationships. In contrast, natural systems incorporate genetic and phylogenetic data, aiming to reflect the true biological and evolutionary relationships among organisms. This method has roots in the Linnaean classification system, which was based on physical traits but did not account for evolutionary history.
Natural systems are dynamic and incorporate data from various biological disciplines such as fossils, anatomy, and DNA analysis to build and update the phylogenetic 'tree of life'. While artificial systems are easier for organizing a vast array of life forms, they may change as new information becomes available, unlike the phylogenetic classifications which tend to be more stable and predictive over time due to their basis in evolutionary mechanisms.