{"id":"W4410784657","doi":"10.1038/s41467-025-59166-7","title":"Local nutrient addition drives plant diversity losses but not biotic homogenization in global grasslands","year":2025,"lang":"en","type":"article","venue":"Nature Communications","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto; University of Guelph; University of Prince Edward Island","funders":"Deutsche Forschungsgemeinschaft; European Commission; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; National Science Foundation","keywords":"Homogenization (climate); Nutrient; Ecosystem; Species richness; Ecology; Biodiversity; Beta diversity; Biology; Species diversity; Gamma diversity; Environmental science","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":[0.0004681444,0.0002187738,0.0004567576,0.0004426873,0.0003275353,0.0005062551,0.0003247608,0.000331496,0.001103953],"category_scores_gemma":[0.0007527927,0.0002234767,0.0002960691,0.0003416696,0.0008774545,0.0004325275,0.0007594654,0.0003105246,0.0001126264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005962629,"about_ca_system_score_gemma":0.0002752306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006016788,"about_ca_topic_score_gemma":0.01535157,"domain_scores_codex":[0.9997428,0.00005137594,0.00001708193,0.0001081997,0.00003697972,0.00004363002],"domain_scores_gemma":[0.9994628,0.0001042541,0.0002093219,0.00009479449,0.00004484065,0.00008408713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000766372,0.0002337002,0.3651831,0.0002948511,0.0003552254,0.0002457299,0.0005242549,0.002529799,0.6143576,0.0002159004,0.0002399039,0.01505352],"study_design_scores_gemma":[0.000006020235,0.0001349574,0.9951515,0.000003446198,0.00002139078,0.00004329946,0.0001518101,0.0005836503,0.003585091,0.00009231432,0.0002207337,0.00000561659],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993312,0.00008026298,0.0002136076,0.00001781083,0.000001504947,0.000005230655,0.00005307144,0.00001260937,0.0002845809],"genre_scores_gemma":[0.999388,0.00005190316,0.0002425764,0.00004521871,0.000002045796,0.000009262039,0.0000922795,0.000007151459,0.0001615261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006016788,"threshold_uncertainty_score":0.01196355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008110700087420151,"score_gpt":0.2486749565888796,"score_spread":0.2405642565014594,"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."}}