{"id":"W2777713852","doi":"10.1002/ecs2.2034","title":"Ecosystem dynamics and management after forest die‐off: a global synthesis with conceptual state‐and‐transition models","year":2017,"lang":"en","type":"article","venue":"Ecosphere","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Division of Emerging Frontiers; National Taiwan University; Gordon and Betty Moore Foundation; Grantová Agentura České Republiky; Division of Environmental Biology; Murdoch University; U.S. Department of Energy; Office of Science; U.S. Department of Agriculture; National Science Foundation; Agència de Gestió d'Ajuts Universitaris i de Recerca; Biological and Environmental Research; Ministerio de Economía y Competitividad","keywords":"Environmental resource management; Forest ecology; Conceptual model; Ecosystem; Ecosystem management; Ecosystem services; Forest dynamics; Forest management; Scale (ratio); Ecology; Environmental science; Geography; Computer science; Agroforestry; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003970489,0.001215038,0.001133432,0.003438011,0.0004638968,0.001993247,0.001041579,0.001012749,0.003873446],"category_scores_gemma":[0.00938792,0.0003926965,0.003360428,0.004834225,0.0007570801,0.002219666,0.001554873,0.001833052,0.0002828678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004776061,"about_ca_system_score_gemma":0.00320031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02947467,"about_ca_topic_score_gemma":0.0277827,"domain_scores_codex":[0.9991745,0.0004580012,0.00008810512,0.0001321034,0.00009241504,0.00005480007],"domain_scores_gemma":[0.9942251,0.004679183,0.0003659375,0.0002562643,0.0003923764,0.00008101297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001616167,0.0001963042,0.01486728,0.0260753,0.002829937,0.0005367944,0.002534212,0.4545996,0.0005913828,0.2437108,0.01421324,0.2396835],"study_design_scores_gemma":[0.0001004969,0.0003622264,0.03641874,0.06918856,0.006980853,0.000302537,0.003922847,0.2427921,0.0009491582,0.341498,0.2972423,0.0002421577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.114855,0.6075345,0.1988152,0.01704626,0.00116608,0.0006304231,0.0148913,0.000428954,0.04463226],"genre_scores_gemma":[0.6392903,0.2870873,0.06327229,0.002051526,0.0003307981,0.0009728837,0.005611407,0.000100923,0.001282535],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02947467,"threshold_uncertainty_score":0.05860621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004102309191757946,"score_gpt":0.179169475508481,"score_spread":0.1750671663167231,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}