SPARSE 1.0:一个物种库存数据库模板,其中一个开放的例子是捷克鸟类
Kateřina Tschernosterová1, Eva Trávníčková1, Florencia Grattarola1
1Czech University of Life Sciences Prague, Praha - Suchdol, Czech Republic Czech University of Life Sciences Prague Praha - Suchdol Czech Republic.
Biodiversity data journal
|December 4, 2023
概括
我们开发了SPARSE,这是生态数据的灵活数据库模板,允许对物种组成和采样元数据进行标准化存储. 该系统支持复杂的设计和生物多样性研究的各种空间尺度.
科学领域:
- 生态信息学 生态信息学
- 生物多样性信息学 生物多样性信息学
- 数据库管理数据库管理
背景情况:
- 生态数据收集往往缺乏标准化的格式,阻碍了数据的整合和分析.
- 现有的生物多样性数据库可能无法充分捕获对采样工作和空间复杂性的元数据.
- 需要一个灵活,便携式的数据库模板来管理各种生态库存数据.
研究的目的:
- 推出SPARSE (SPecies AcRoss ScalEs),这是一个用于生态库存数据的新型数据库模板.
- 为储存物种组成,采样方法和努力提供标准化的框架.
- 为了适应复杂的采样设计,空间尺度和生物多样性数据的时间复制.
主要方法:
- SPARSE使用了自定义字段定义和达尔文核心标准与汉堡核心扩展的组合.
- 空间数据 (点,直线,多边形) 使用ESRI形状文件进行存储,以显式空间表示.
- 该模板旨在在不同的数据库引擎中实现可移植性,以MS Access实现为例.
主要成果:
- SPARSE成功地容纳了空间显式数据与跨多个尺度的嵌套结构.
- 模板整合了时间复制,使其适合重新调查和时间序列分析.
- 一个数字化捷克共和国鸟类数据的案例研究证明了该框架的实用性,其中有348个地点和15969个观测.
结论:
- SPARSE提供了一种简单,便携和强大的解决方案,用于管理各种生态库存数据.
- 该框架提高了生物多样性数据的可用性,用于统计建模和比较研究.
- SPARSE促进数据整合,并促进标准化的生物多样性数据管理实践.
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