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淡水湖泊叶绿素和水质化学成分数据库。

A database of chlorophyll and water chemistry in freshwater lakes.

机构信息

Department of Biology, York University, Toronto, Canada.

Department of Biology, Wilfrid Laurier University, Waterloo, Canada.

出版信息

Sci Data. 2020 Sep 22;7(1):310. doi: 10.1038/s41597-020-00648-2.

Abstract

Measures of chlorophyll represent the algal biomass in freshwater lakes that is often used by managers as a proxy for water quality and lake productivity. However, chlorophyll concentrations in lakes are dependent on many interacting factors, including nutrient inputs, mixing regime, lake depth, climate, and anthropogenic activities within the watershed. Therefore, integrating a broad scale dataset of lake physical, chemical, and biological characteristics can help elucidate the response of freshwater ecosystems to global change. We synthesized a database of measured chlorophyll a (chla) values, associated water chemistry variables, and lake morphometric characteristics for 11,959 freshwater lakes distributed across 72 countries. Data were collected based on a systematic review examining 3322 published manuscripts that measured lake chla, and we supplemented these data with online repositories such as The Knowledge Network for Biocomplexity, Dryad, and Pangaea. This publicly available database can be used to improve our understanding of how chlorophyll levels respond to global environmental change and provide baseline comparisons for environmental managers responsible for maintaining water quality in lakes.

摘要

叶绿素测量值代表淡水湖中藻类生物量,常被管理者用作水质和湖泊生产力的替代指标。然而,湖泊中的叶绿素浓度取决于许多相互作用的因素,包括营养物质输入、混合状态、湖泊深度、气候以及流域内的人为活动。因此,整合广泛的湖泊物理、化学和生物特征数据集可以帮助阐明淡水生态系统对全球变化的响应。我们综合了一个数据库,其中包含 11959 个分布在 72 个国家的淡水湖泊的实测叶绿素 a(chl a)值、相关水化学变量和湖泊形态特征。这些数据是根据对 3322 篇测量湖泊 chl a 的已发表文献进行系统审查收集的,我们还通过在线知识库(如生物复杂性知识网络、Dryad 和泛古陆)补充了这些数据。这个公开可用的数据库可用于提高我们对叶绿素水平如何响应全球环境变化的理解,并为负责维护湖泊水质的环境管理者提供基准比较。

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