Tree abundance and diversity metrics across 32 research plots used to evaluate Beech bark disease regeneration treatments in 2019 (pre-harvest), 2020 (1-year post-harvest), and 2024 (5-years post-harvest). American beech was grouped into five size classes, and tree counts were also categorized by management relevance (target, acceptable, nonacceptable). Values in parentheses represent the 95% confidence interval around each estimated marginal means (based on mixed-effects models).
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https://figshare.com/articles/dataset/Tree_abundance_and_diversity_metrics_across_32_research_plots_used_to_evaluate_Beech_bark_disease_regeneration_treatments_in_2019_pre-harvest_2020_1-year_post-harvest_and_2024_5-years_post-harvest_American_beech_was_grouped_into_five_size_c/30624456
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Tree abundance and diversity metrics across 32 research plots used to evaluate Beech bark disease regeneration treatments in 2019 (pre-harvest), 2020 (1-year post-harvest), and 2024 (5-years post-harvest). American beech was grouped into five size classes, and tree counts were also categorized by management relevance (target, acceptable, nonacceptable). Values in parentheses represent the 95% confidence interval around each estimated marginal means (based on mixed-effects models).
本数据集涵盖32块研究样地的树木丰度与多样性指标,用于评估2019年(采伐前)、2020年(采伐后1年)及2024年(采伐后5年)的山毛榉树皮病(Beech bark disease)更新处理效果。研究将美洲山毛榉(American beech)划分为5个径级,同时依据管理相关性将树木数量划分为目标类、可接受类与不可接受类。括号内数值为各估计边际均值的95%置信区间,其计算基于混合效应模型(mixed-effects models)。
创建时间:
2025-11-14



