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

Authors :
Anne Philippe
Christine Plumejeaud-Perreau
Jérôme Jourde
Philippe Pineau
Nicolas Lachaussée
Emmanuel Joyeux
Frédéric Corre
Philippe Delaporte
Pierrick Bocher
LIttoral ENvironnement et Sociétés - UMRi 7266 (LIENSs)
Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS)
Office Nationale de la chasse et faune sauvage (ONCFS)
ONCFS
Source :
Biodiversity Data Journal, Biodiversity Data Journal, Pensoft, 2017, 5, ⟨10.3897/BDJ.5.e10288⟩, Biodiversity Data Journal 5: e10288, Biodiversity Data Journal, Vol 5, Iss, Pp 1-22 (2017)
Publication Year :
2017
Publisher :
HAL CCSD, 2017.

Abstract

Background 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. New information The dataset has been formatted into a geo-referenced relational database, using PostgreSQL open-source DBMS. We provide density information, measurements, energy content and accessibility of thirteen bivalve, nine gastropod and two polychaete taxa (a total of 66,620 individuals)​ for 11 consecutive winters. Figures and maps are provided to describe how the dataset was built, cleaned, and how it can be used. This dataset can again support studies concerning spatial and temporal variations in species abundance, interspecific interactions as well as evaluations of the availability of food resources for small- and medium size shorebirds and, potentially, conservation and impact assessment studies.

Details

Language :
English
ISSN :
13142828
Database :
OpenAIRE
Journal :
Biodiversity Data Journal, Biodiversity Data Journal, Pensoft, 2017, 5, ⟨10.3897/BDJ.5.e10288⟩, Biodiversity Data Journal 5: e10288, Biodiversity Data Journal, Vol 5, Iss, Pp 1-22 (2017)
Accession number :
edsair.pmid.dedup....f6f8da1475d35d2ddc5c877ee608bab5