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Building a database for long-term monitoring of benthic macrofauna in the Pertuis-Charentais (2004-2014)

机译:建立一个数据库以长期监测Pertuis-Charentais的底栖大型动物(2004-2014年)

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摘要

BackgroundLong-term benthic monitoring is rewarding in terms of science, but labour-intensive, whether in the field, the laboratory, or behind the computer. Building and managing databases require multiple skills, including consistency over time as well as organisation via a systematic approach. Here, we introduce and share our spatially explicit benthic database, comprising 11 years of benthic data. It is the result of intensive benthic sampling that has been conducted on a regular grid (259 stations) covering the intertidal mudflats of the Pertuis-Charentais (Marennes-Oléron Bay and Aiguillon Bay). Samples were taken by foot or by boats during winter depending on tidal height, from December 2003 to February 2014. The present dataset includes abundances and biomass densities of all mollusc species of the study regions and principal polychaetes as well as their length, accessibility to shorebirds, energy content and shell mass when appropriate and available. This database has supported many studies dealing with the spatial distribution of benthic invertebrates and temporal variations in food resources for shorebird species as well as latitudinal comparisons with other databases. In this paper, we introduce our benthos monitoring, share our data, and present a "guide of good practices" for building, cleaning and using it efficiently, providing examples of results with associated R code.
机译:背景技术无论是在现场,实验室还是在计算机后面,长期的底栖监测在科学上都是有益的,但劳动强度大。建立和管理数据库需要多种技能,包括随着时间的推移以及通过系统方法进行组织的一致性。在这里,我们介绍并共享我们的空间明确的底栖数据库,该数据库包含11年的底栖数据。这是在覆盖Pertuis-Charentais(Marennes-Oléron湾和Aiguillon湾)潮间带滩涂的常规网格(259个站)上进行密集底栖采样的结果。从2003年12月至2014年2月,根据潮汐高度在冬季步行或乘船取样。当前数据集包括研究区域所有软体动物物种和主要多足动物的丰度和生物量密度,以及它们的长度,可接近水鸟的能力。 ,能量含量和壳质量(如果适用)。该数据库支持了许多研究,涉及底栖无脊椎动物的空间分布和shore鸟食物资源的时间变化以及与其他数据库的纬度比较。在本文中,我们介绍了Bentos监控,共享数据,并提供了有关有效构建,清洁和使用它的“良好实践指南”,并提供了带有相关R代码的结果示例。

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