Observer-driven pseudoturnover in vegetation surveys

This dataset was used to analyze the inter-observer error (i.e. pseudoturnover) in vegetation surveys for the publication Boch S, Küchler H, Küchler M, Bedolla A, Ecker KT, Graf UH, Moser T, Holderegger R, Bergamini A (2022) Observer-driven pseudoturnover in vegetation monitoring is context dependent but does not affect ecological inference. Applied Vegetation Science. In the framework of the project "Monitoring the effectiveness of habitat conservation in Switzerland", we double-surveyed a total of 224 plots that were marked once in the field and then sampled by two observers independently on the same day. Both observers conducted full vegetation surveys, recording all vascular plant species, their cover, and additional plot information. We then calculated mean ecological indicator values and pseudoturnover. The excel file contains two sheets: 1) Raw species lists of the 224 plots conducted by two different observers. Woody species are distinguished in three layers: H (herb layer; woody species -0.5 m in height), S (shrub layer; woody species 0.5–3 m in height) and T (tree layer; woody species -3 m in height). "cf." indicates uncertain identification, "aggr." indicates that the plant was identified only to the aggregate level. Cover was estimated for each species using a modified Braun-Blanquet scale (r ≙ -0.1%, + ≙ 0.1% to -1%, 1 ≙ 1% to -5%, 2 ≙ 5% to -25%, 3 ≙ 25% to -50%, 4 ≙ 50% to -75%, 5 ≙ 75% to -100%). 2) File used for the linear mixed effects model.本数据集用于分析植被调查中的观察者间误差（inter-observer error，即伪周转（pseudoturnover）），相关研究成果发表于Boch S、Küchler H、Küchler M、Bedolla A、Ecker KT、Graf UH、Moser T、Holderegger R、Bergamini A于2022年发表于*Applied Vegetation Science*的论文《Observer-driven pseudoturnover in vegetation monitoring is context dependent but does not affect ecological inference》。在"瑞士生境保护成效监测"项目框架下，我们共对224个样地开展重复调查：所有样地均先在野外完成标记，随后由两名观察者于当日独立开展采样。两名观察者均完成完整植被调查，记录所有维管植物（vascular plant）物种、物种盖度及样地附加信息。后续我们计算了平均生态指示值（ecological indicator values）与伪周转值。该Excel文件包含两个工作表：1) 224个样地的原始物种清单，由两名不同观察者完成。木本植物被划分为三个层次：H层（草本层，株高≤0.5m的木本植物）、S层（灌木层，株高0.5–3m的木本植物）以及T层（乔木层，株高≥3m的木本植物）。"cf."表示物种鉴定存疑，"aggr."表示仅将植物鉴定至类群聚合水平。物种盖度采用修正的Braun-Blanquet盖度等级（Braun-Blanquet scale）进行估测：r≙-0.1%，+≙0.1%~1%，1≙1%~5%，2≙5%~25%，3≙25%~50%，4≙50%~75%，5≙75%~100%。2) 用于线性混合效应模型（linear mixed effects model）的数据集文件。