<b>Global meta-analysis shows an indispensable role of pollinator diversity in promoting fruit quality</b>. Data and codes_Ochola et al.

This dataset contains data extracted from 79 studies investigating the impact of pollination services on fruit quality traits across multiple biomes and experimental conditions. Data include effect sizes for different fruit quality traits such as size, shape, taste, appearance, and nutritional content (macronutrients and micronutrients) under varying pollinator conditions. The studies analyzed span global biomes, with data on pollinator species richness, visitation rates, and pollinator traits. This dataset supports a meta-analysis of pollination effects on fruit crops fruit quality, which employs random-effects models to assess moderating variables including experimental scale, biome, pollinator guilds, managed vs wild pollinators and field vs greenhouse fruit environment.本数据集源自79项研究，这些研究聚焦于多种生物群区（biome）与不同实验条件下授粉服务对果实品质性状（fruit quality traits）的影响。数据集涵盖不同授粉条件下各类果实品质性状（如大小、外形、风味、外观以及营养成分（大量营养素与微量营养素））的效应量数据。纳入分析的研究覆盖全球各生物群区，相关数据包含授粉者物种丰富度、访花频率以及授粉者性状信息。本数据集可支撑针对授粉对果树果实品质影响的元分析（meta-analysis）研究，该研究采用随机效应模型（random-effects models），对调节变量进行评估，调节变量包括实验尺度、生物群区、授粉者功能群（pollinator guilds）、人工管理授粉者与野生授粉者，以及田间与温室果实种植环境。