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比利时弗拉芒地区内陆水域大型无脊椎动物的分布情况。

The inland water macro-invertebrate occurrences in Flanders, Belgium.

作者信息

Vannevel Rudy, Brosens Dimitri, Cooman Ward De, Gabriels Wim, Mertens Joost, Vervaeke Bart

机构信息

Flanders Environment Agency (VMM), Dr. De Moorstraat 24-26, B-9300 Aalst, Belgium.

Research Institute for Nature and Forest (INBO), Havenlaan 88 bus 73, B-1000 Brussels, Belgium.

出版信息

Zookeys. 2018 May 22(759):117-136. doi: 10.3897/zookeys.759.24810. eCollection 2018.

Abstract

The Flanders Environment Agency (VMM) has been performing biological water quality assessments on inland waters in Flanders (Belgium) since 1989 and sediment quality assessments since 2000. The water quality monitoring network is a combined physico-chemical and biological network, the biological component focusing on macro-invertebrates. The sediment monitoring programme produces biological data to assess the sediment quality. Both monitoring programmes aim to provide index values, applying a similar conceptual methodology based on the presence of macro-invertebrates. The biological data obtained from both monitoring networks are consolidated in the VMM macro-invertebrates database and include identifications at family and genus level of the freshwater phyla Coelenterata, Platyhelminthes, Annelida, Mollusca, and Arthropoda. This paper discusses the content of this database, and the dataset published thereof: 282,309 records of 210 observed taxa from 4,140 monitoring sites located on 657 different water bodies, collected during 22,663 events. This paper provides some background information on the methodology, temporal and spatial coverage, and taxonomy, and describes the content of the dataset. The data are distributed as open data under the Creative Commons CC-BY license.

摘要

自1989年以来,佛兰德环境局(VMM)一直在对比利时佛兰德地区的内陆水域进行生物水质评估,自2000年起进行沉积物质量评估。水质监测网络是一个物理化学和生物相结合的网络,生物部分侧重于大型无脊椎动物。沉积物监测计划提供生物数据以评估沉积物质量。这两个监测计划都旨在提供指数值,采用基于大型无脊椎动物存在情况的类似概念方法。从这两个监测网络获得的生物数据整合在VMM大型无脊椎动物数据库中,包括对淡水门腔肠动物、扁形动物、环节动物、软体动物和节肢动物在科和属水平的鉴定。本文讨论了该数据库的内容及其发布的数据集:来自657个不同水体上4140个监测点的210个观测分类单元的282309条记录,这些记录是在22663次监测活动中收集的。本文提供了一些关于方法、时间和空间覆盖范围以及分类学的背景信息,并描述了数据集的内容。这些数据根据知识共享CC-BY许可作为开放数据发布。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3f5/5974003/b8e4819ee409/zookeys-759-117-g001.jpg

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