{
  "annotation_id": "8c0cd9e4-a864-40f0-989d-2c9eae9fa644",
  "date_created": "2026-03-02T18:01:35.492000Z",
  "date_modified": "2026-03-02T18:01:35.492000Z",
  "file_hash": "62dcf652dbf18224ac24d690aeef384f1e88a14908e525aa4ae4980b81cabf32",
  "private": false,
  "record": {
    "abstract": "Statistical mechanics of relative species abundance (RSA) patterns in\nbiological networks is presented. The theory is based on multispecies\nreplicator dynamics equivalent to the Lotka-Volterra equation, with diverse\ninterspecies interactions. Various RSA patterns observed in nature are derived\nfrom a single parameter related to productivity or maturity of a community. The\nabundance distribution is formed like a widely observed left-skewed lognormal\ndistribution. It is also found that the ``canonical hypothesis\u0027\u0027 is supported\nin some parameter region where the typical RSA patterns are observed. As the\nmodel has a general form, the result can be applied to similar patterns in\nother complex biological networks, e.g. gene expression.",
    "arxiv_id": "q-bio/0607011",
    "authors": [
      "Kei Tokita"
    ],
    "categories": [
      "q-bio.PE"
    ],
    "title": "Statistical mechanics of relative species abundance",
    "url": "https://arxiv.org/abs/q-bio/0607011"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "3affaad8-2215-4a0e-aa3e-f9776e20da1e",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}