Skip to Main content Skip to Navigation
Journal articles

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

Abstract : Long-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.
Complete list of metadata
Contributor : Christine Plumejeaud-Perreau Connect in order to contact the contributor
Submitted on : Friday, March 3, 2017 - 3:04:13 PM
Last modification on : Thursday, June 2, 2022 - 2:04:02 PM

Links full text




Anne Philippe, Christine Plumejeaud-Perreau, Jérôme Jourde, Philippe Pineau, Nicolas Lachaussée, et al.. Building a database for long-term monitoring of benthic macrofauna in the Pertuis-Charentais (2004-2014). Biodiversity Data Journal, Pensoft, 2017, 5, ⟨10.3897/BDJ.5.e10288⟩. ⟨hal-01482328⟩



Record views