Keep mowing: Predictions show that successful grassland restoration depends on post-restoration management

The Excel file from this entrance comprises data used in Auestad & Rydgren's “Keep mowing: Predictions show that successful grassland restoration depends on post-restoration management ”. It includes data on species composition from the restoration of semi-natural grasslands in Western Norway and the results from the GNMDS ordination. The Excel file consists of five sheets: 1. Metadata a. This sheet provides metadata information. 2. Species abbreviations a. This sheet provides information about the abbreviated names and the full taxa names. 3. Rawdta_species_x_plot a. This sheet includes the raw data of the taxa × plots. The numbers are subplot frequency (0–16) as a measure of the abundance of vascular species in each plot. 4. Gnmds results_Early a. This sheet presents the plot scores from the 3-dimensional GNMDS solution of the Early data set (377 plots × 98 species). 5. Gnmds results_Total a. This sheet presents the plot scores from the 3-dimensional GNMDS solution of the Total data set (425 plots × 100 species).本入口提供的Excel文件包含Auestad与Rydgren在《Keep mowing: Predictions show that successful grassland restoration depends on post-restoration management》一文中所用的数据集。该数据集涵盖挪威西部半自然草原修复项目的物种组成数据，以及GNMDS（广义非度量多维标度，Generalized Non-metric Multidimensional Scaling）排序分析结果。 该Excel文件共包含5个工作表： 1. 元数据（Metadata） a. 本工作表提供元数据相关信息。 2. 物种缩写表（Species abbreviations） a. 本工作表收录物种缩写名称与完整分类单元名称的对应信息。 3. 物种×样方原始数据（Rawdta_species_x_plot） a. 本工作表收录分类单元×样方的原始数据，其中数值为样方内维管植物物种多度的测度指标——小样方频度（取值范围0–16）。 4. 早期数据集GNMDS分析结果（Gnmds results_Early） a. 本工作表呈现早期数据集（377个样方 × 98个物种）的三维GNMDS排序样方得分。 5. 全数据集GNMDS分析结果（Gnmds results_Total） a. 本工作表呈现全数据集（425个样方 × 100个物种）的三维GNMDS排序样方得分。