主要竹类 (Poaceae, Bambusoideae) 的全球分布模型
1Milwaukee Public Museum, Milwaukee, United States of America Milwaukee Public Museum Milwaukee United States of America.
Biodiversity data journal
|September 5, 2025
概括
这项研究引入了利用物种分布模型绘制竹子分布的可重复工作流程. 它提供了可访问的数据和方法来了解全球竹分布.
科学领域:
- 植物学
- 生态学
- 计算生物学
背景情况:
- 竹子 (Poaceae, Bambusoideae) 是在全球范围内发现的生态和经济重要植物.
- 目前主要的竹类分布图是手工创建的,难以更新.
- 准确,可复制的分布数据对于竹子的研究和保护至关重要.
研究的目的:
- 开发一个标准化,可重复的工作流程,以生成主要竹的全球分布图.
- 预测这些竹的潜在和实际分布区域.
- 创建可查找,可访问,可互操作和可重复使用 (FAIR) 数据集和工作流程.
主要方法:
- 使用了MaxEnt的物种分布模型.
- 采用经过审查的自然历史标本记录作为主要数据.
- 开发了数据处理和地图生成的计算工作流程.
主要成果:
- 创造了新的潜力,并实现了四个主要竹类的分布地图.
- 为未来的更新和分析建立了可重复的工作流程.
- 创建了一个FAIR数据集,包括源数据,脚本和地图.
结论:
- 开发的工作流提供了一种可重复和数据驱动的方法来绘制竹子分布.
- 这项工作提高了竹子分布数据的可访问性和可重复使用性.
- 这些发现支持了全球竹子资源的生态和经济理解.
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