{
  "annotation_id": "9b6d555f-8ee7-47aa-bb8c-31a871206c7c",
  "date_created": "2026-03-02T18:01:35.503000Z",
  "date_modified": "2026-03-02T18:01:35.503000Z",
  "file_hash": "8bc563c9c432f3475339a9578a4580cffeb7fadc414fa686b02ac6f86bcda1e3",
  "private": false,
  "record": {
    "abstract": "The hierarchical system of forest ecosystem models based on the theory of\nindividual-based (structured) models of populations and communities is briefly\ndescribed. New self-thinning models are integrated with tree stand models\nwithin a hierarchical system of models, aimed at assessing (quasi-) stable\nstates of a forest ecosystem under given environment and management. Within the\nstructural model of succession, the ergodic theorems in biology are proved.\nThey assert that the areas of biocenoses in a climax state of association\nshould be proportional to the proper times of their development in a succession\nline; the other characteristics of biocenoses should be also proportional to\ntheir own proper regeneration times in a climax state. A simple theoretical\napproach to estimating the deviation of the current state of forest ecosystem\nfrom its steady state is derived and applied to data from the Prioksko-Terrasny\nReserve. The results obtained can serve as a theoretical basis in numerical\nprocessing of data on ecological monitoring of undisturbed forest lands.",
    "arxiv_id": "q-bio/0606002",
    "authors": [
      "Georgy P. Karev"
    ],
    "categories": [
      "q-bio.PE",
      "q-bio.QM"
    ],
    "title": "Analytical Models of Forest Dynamics",
    "url": "https://arxiv.org/abs/q-bio/0606002"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "0d99910c-42a6-49ea-bc7f-911f5f1e294e",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}