Dryland soil restoration meta-analysis data

This dataset was used to conduct a meta-analysis on soil restoration in
global drylands. It includes data collected from published literature on
experiments of soil-based restoration in dryland environments. Predictor
variables included in this dataset are site aridity and percent soil sand,
type of restoration treatment used, whether seeding or revegetating was
done, and time since restoration. Response variables include the effect of
soil restoration on aggregate stability, bulk density, volumetric water
content, soil organic carbon, soil nitrogen, mycorrhizal colonization, and
basal respiration. The calculated effect size on each of these variables
is represented as the log response ratio.

本数据集用于开展全球干旱区土壤修复的荟萃分析（meta-analysis）。其收录了从已发表文献中获取的干旱区土壤修复实验相关数据。数据集包含的预测变量包括样点干旱度、土壤砂粒占比、所用修复处理类型、是否实施播种或植被重建，以及修复后时长。响应变量则涵盖土壤修复对团聚体稳定性、容重、容积含水量、土壤有机碳、土壤氮素、菌根定殖率以及基础呼吸速率的影响。针对上述各变量计算得到的效应量，均以对数响应比（log response ratio）的形式呈现。

搜集汇总

背景与挑战

背景概述

该数据集是一个用于全球旱地土壤恢复元分析的Excel文件，包含从已发表文献中提取的实验数据，覆盖站点干旱度、土壤砂土百分比、恢复处理类型等预测变量，以及土壤团聚体稳定性、容重、有机碳等响应变量的效应大小（对数响应比）。数据集由科罗拉多州立大学研究人员于2023年发布，关联一篇应用生态学期刊文章，旨在评估土壤恢复对旱地土壤健康的影响。