一个全球数据集的三文鱼生物质在溪流中的数据集
Kyleisha J Foote1, James W A Grant2, Pascale M Biron3
1Department of Geography, Planning and Environment, Concordia University, 1455 De Maisonneuve Blvd W., Montreal, H3G 1M8, Quebec, Canada. kyleisha.foote@mail.concordia.ca.
Scientific data
|October 30, 2024
概括
这项研究汇编了全球1000多条河流中的最大的鱼鱼生物质数据集. 它可以对鱼类生物质和产量进行详细分析,跨物种,区域和时间.
科学领域:
- 生态生态学 生态生态学
- 渔业 科学 渔业 科学
- 鱼类学 鱼类学 鱼类学
背景情况:
- 沙门类鱼类已被广泛研究,但它们的全球生物质范围仍然不太清楚.
- 关于鱼生物质的现有数据在众多研究中是分散的.
- 为了进行可靠的分析,需要一个全面的,具有全球代表性的数据集.
研究的目的:
- 创建已知最大规模的鱼类生物质数据汇编.
- 根据物种,地区,时间段和采样方法,对鱼生物质变异进行详细分析.
- 促进探索鱼生物质和生产之间的关系.
主要方法:
- 汇编了1000多项关于鱼类生物质的已发表研究的数据.
- 包括来自27个国家和11种鱼类物种的数据.
- 整合了84年的数据,包括194条河流的生产数据.
主要成果:
- 创建了迄今为止已知最大的鱼生物群在河流中的公布数据集.
- 该数据集涵盖了84年,27个国家和11个物种.
- 194条河流的生产数据允许进行生物质生产关系分析.
结论:
- 编制的数据集是科学界的宝贵资源.
- 变量的未来扩展可以使鱼生物质和生产的预测建模成为可能.
- 该资源支持更广泛的生态和渔业管理研究.
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