This study is a numerical experiment to evaluate the sensitivity and specificity of a set of ecosystem indicators, including ANS, to fishing pressure.

The objective of the TROPHIK project was to model the role of offshore wind turbines and other anthropogenic activities in modifying the functioning of thefood webs of the Bay of Seine by taking climate change into account. TROPHIK has initiated a methodology to move from the sectoral vision of environmental impact studies to a functional and holistic approach. The analysis of the sensitivity of the functioning of the food web to the development of offshore wind farms represents a solid basis for recommending new areas of implantation. This approach will be completed within the framework of APPEAL and WINDSERV by integrating the societal and economic environment as well as biogeochemical forcings

This study investigated the effects of a spatial closure during the exploitation phase of an offshore wind farm in the extended Bay of Seine (English Channel, France) using Ecospace, a spatially and temporally explicit module of Ecopath with Ecosim.

This document briefly presents the methodology used to build the Ecosim and Ecospace models representing the extended Seine Bay ecosystem as well as the main results.

This paper presents an open source framework for modeling current and future ecological niches of marine species

This paper presents the assessment of potential impacts of changes in species distribution by climate change on the extended Seine Bay ecosystem.

This study analyses the sensitivity of network indices to the cumulative effects of the Courseulles sur mer wind farm and climate change

This paper presents a first framework for OSPAR Regional Sea Convention food web indicators based on ENA. These are presented here focusing on their applicability and what is needed for implementation, illustrating their potential use by case studies.

This document presents an analysis of the isotopic ratios of organisms sampled on the site of the future Windfarm.

Spatial study and sensitivity of network indices to wind farm closure and climate disruption using an Ecospace model