AUTHOR=Stechele Brecht , Barbut Leo , Lacroix Geneviève , van Duren Luca A. , Van Lancker Vera , Degraer Steven , Gavazzi Giacomo Montereale , Bossier Peter , Declercq Annelies M. , Nevejan Nancy TITLE=Northern Europe’s suitability for offshore European flat oyster (Ostrea edulis) habitat restoration based on population dynamics JOURNAL=Frontiers in Marine Science VOLUME=10 YEAR=2023 URL=https://www.frontiersin.org/journals/marine-science/articles/10.3389/fmars.2023.1224346 DOI=10.3389/fmars.2023.1224346 ISSN=2296-7745 ABSTRACT=Introduction

European and member state legislation encourage the sustainable development of offshore environments, with the restoration or creation of flat oyster (Ostrea edulis) habitats offering potential solutions to enhance biodiversity and provide ecosystem services. The site selection and identification of suitable habitats for flat oyster habitat restoration projects remains a significant knowledge gap.

Methods

By combining seabed substrate information with a coupled population (Dynamic Energy Budget - Individual-Based Models) and particle tracking model (for larvae dispersal), critical insights can be gained into the spatial distribution of suitability indicators such as population growth, fitness, reproduction, and self-recruitment. By applying this model to the English Channel and the North Sea over a ten-year period, suitable locations for flat oyster habitat restoration, restorative aquaculture, or oyster-related nature-inclusive designs can be identified. Comparing historical oyster bed locations with model outputs offers insights into why these locations were suitable for oyster bed development and allows for validation of the proposed approach.

Results and discussion

Coastal and nearshore environments are generally more suitable for flat oyster habitat restoration, and populations will grow more quickly in these areas. Offshore restoration in the North Sea presents challenges if it relies solely on self-recruitment. Besides site selection purposes, the model can be used to evaluate the effect of management strategies (e.g., initial population size) or environmental pressures (e.g., climate change, pollution) on restorations success.