{
  "annotation_id": "464a6101-60b9-4e40-b407-48e24a97b8cf",
  "date_created": "2026-03-02T18:01:35.039000Z",
  "date_modified": "2026-03-02T18:01:35.039000Z",
  "file_hash": "a49d376b50b6bebae319ec80c4d120646be1e96828ab9607b66631400cc680bd",
  "private": false,
  "record": {
    "abstract": "We analyze several florae (collections of plant species populating specific\nareas) in different geographic and climatic regions. For every list of species\nwe produce a taxonomic classification tree and we consider its statistical\nproperties. We find that regardless of the geographical location, the climate\nand the environment all species collections have universal statistical\nproperties that we show to be also robust in time. We then compare observed\ndata sets with simulated communities obtained by randomly sampling a large pool\nof species from all over the world. We find differences in the behavior of the\nstatistical properties of the corresponding taxonomic trees. Our results\nsuggest that it is possible to distinguish quantitatively real species\nassemblages from random collections and thus demonstrate the existence of\ncorrelations between species.",
    "arxiv_id": "q-bio/0612023",
    "authors": [
      "C. Caretta Cartozo",
      "D. Garlaschelli",
      "C. Ricotta",
      "M. Barthelemy",
      "G. Caldarelli"
    ],
    "categories": [
      "q-bio.PE",
      "nlin.AO",
      "physics.data-an"
    ],
    "doi": "10.1088/1751-8113/41/22/224012",
    "journal_ref": "J. Phys. A: Math. Theor. 41, 224012 (2008)",
    "title": "Quantifying the taxonomic diversity in real species communities",
    "url": "https://arxiv.org/abs/q-bio/0612023"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "a383f11d-4493-4f28-b437-a8c60afcafb4",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}