Abstract

The poor access to data on the marine environment is a handicap to government decision-making, a barrier to scientific understanding and an obstacle to economic growth. In this light, the European Commission initiated the European Marine Observation and Data Network (EMODnet) in 2009 to assemble and disseminate hitherto dispersed marine data. In the ten years since then, EMODnet has become a key producer of publicly available, harmonised datasets covering broad areas. This paper describes the methodologies applied in EMODnet Geology project to produce fully populated GIS layers of seabed substrate distribution for the European marine areas. We describe steps involved in translating national seabed substrate data, conforming to various standards, into a uniform EMODnet substrate classification scheme (i.e., the Folk sediment classification). Rock and boulders form an additional substrate class. Seabed substrate data products at scales of 1:250,000 and 1:1 million, compiled using descriptions and analyses of seabed samples as well as interpreted acoustic images, cover about 20% and 65% of the European maritime areas, respectively. A simple confidence assessment, based on sample and acoustic coverage, is helpful in identifying data gaps. The harmonised seabed substrate maps are particularly useful in supraregional, transnational and pan-European marine spatial planning.

Highlights

  • Rapid population growth and increased anthropogenic activities in coastal and marine areas have affected the marine environment on a worldwide scale [1,2]

  • Following an evaluation of the different sediment classification schemes used by each contributor, we describe the processes involved in translating national seabed substrate data into the European Marine Observation and Data Network (EMODnet) substrate classification scheme, the Folk sediment classification

  • It is a critical contribution to marine spatial planning and it provides baseline information when assessing the impact of anthropogenic activities

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Summary

Introduction

Rapid population growth and increased anthropogenic activities in coastal and marine areas have affected the marine environment on a worldwide scale [1,2]. Anthropogenic uses of marine areas are ever expanding [3] and pose great challenges to successful maritime spatial planning. They exacerbate impacts of climate change on our ocean ecosystems [4]. There is a need to improve on data exchange channels and to resolve incompatibilities between flawed datasets that still challenge effective marine spatial planning [6].

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