Defining Reference Condition (T0) for the Soft Sediment Epibenthos and Demersal-Benthopelagic Fish in the Norther and Rentel Concession Zones

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Defining Reference Condition (T0) for the Soft Sediment Epibenthos and Demersal-Benthopelagic Fish in the Norther and Rentel Concession Zones CHAPTER 4 DEFINING REFERENCE CONDITION (T0) FOR THE SOFT SEDIMENT EPIBENTHOS AND DEMERSAL-BENTHOPELAGIC FISH IN THE NORTHER AND RENTEL CONCESSION ZONES DE BACKER Annelies & HOSTENS Kris Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Aquatic Environment and Quality, Ankerstraat 1, 8400 Oostende, Belgium Corresponding author: [email protected] Abstract Norther seems justified as the extrapolation In the near future, two new offshore wind of previous monitoring results from the oth- farms (OWFs) will be constructed in Belgian er OWFs cannot be guaranteed. Monitoring waters, Norther and Rentel. In this chapter, of Rentel, on the other hand, seems redun- we explored whether the epibenthos and dant within the current WinMon monitoring demersal-benthopelagic fish assemblage in program, as there is a high similarity with these future OWFs differed from the (refer- the C-power epibenthos and fish assemblag- ence) assemblages that are currently moni- es. Although, integration of Norther in the tored within the WinMon program i.e., for monitoring framework is recommended, it is the OWFs C-Power and Belwind. Secondly, important to consider that natural variability within this zone is very high, especially for the T0 reference conditions for both new concession zones are described. All sam- epibenthos, which may obscure both short ples were taken in autumn 2016, as such and long-term potential effects related to the excluding both interannual variability and presence of the Norther OWF, and the fisher- seasonality. ies exclusion in this concession zone. A clear north-south gradient was ob- served within the wider OWF area for both 1. Introduction soft sediment epibenthos and demersal-ben- In order to meet the targets set by the thopelagic fish assemblages. Norther, the European Directive 2009/28/EC on renewa- concession area closest to shore (ca. 23 km), ble energy, the Belgian government reserved exhibited much higher density and biomass an offshore area of 238 km² for the pro- (for epibenthos), and also community struc- duction of electricity. Since 2017, 232 off- ture differed from the other concession ar- shore wind turbines are operational in the eas. Norther is inhabited by an assemblage Belgian part of the North Sea (BPNS) with most related to a typical coastal community, an installed capacity of 877 MW. A further while Rentel comprises a typical offshore 309 MW is under construction in the Rentel assemblage, comparable with Belwind and concession area, and in 2018 construction of C-Power. Because of the different epiben- the Norther offshore wind farm (OWF) will thos and fish assemblages, a follow-up of start, good for another 370 MW. 39 De Backer & Hostens Construction of OWFs introduces ar- 2. Material and methods tificial hard substrates into the typical soft bottom sandy environment in the BPNS. 2.1. Sampling These hard substrates generate a new ‘rocky’ Sampling for the reference condition (T0) habitat, attracting hard substrate species was performed on board RV Simon Stevin (Lindeboom et al. 2011; Kerkhof et al. 2012; in autumn 2016. Trawl samples were taken De Mesel et al. 2015) and creating a reef ef- inside the future concession areas of Rentel fect for epibenthic fauna and demersal-ben- and Norther, and at potential reference loca- thopelagic fish (Reubens et al. 2011, 2013; tions outside the concession areas (fig. 1). Stenberg et al. 2015). This reef effect, in At the location of ftNor2, a fishing vessel combination with fisheries exclusion in the had been fishing right before our sampling, wider OWF area, may affect the original soft with a lot of dead fish and epibenthos in the bottom epibenthos and fish assemblages be- sample as a consequence. This dead mate- tween the wind turbines. rial was not taken into account in the anal- Since 2005, ILVO performs beam trawl yses. Additionally, in this same monitoring monitoring surveys to evaluate the potential survey, we also performed the impact mon- effects of OWFs on soft sediment epibenthos itoring in the Belwind and C-Power OWFs and demersal-benthopelagic fish. The study and their respective reference zones (see effort has been concentrated on the C-Power De Backer & Hostens 2017). On all track and Belwind OWFs, the first OWFs in locations, epibenthos and fish fauna were Belgian waters. Both OWFs are located on sampled with an 8-meter shrimp beam trawl a sand bank, respectively on Thornton Bank (22 mm mesh in the cod end) equipped with and Bligh Bank, approximately 30 and 50 km a bolder chain. The net was towed during offshore. Their epibenthos and fish assem- 15 minutes at an average speed of 4 knots blages are characterized as a typical offshore over approximately 1 nautical mile. Data on assemblage (Derweduwen et al. 2010). The time, start and stop coordinates, trajectory future Rentel OWF is situated in a gully in and sampling depth were noted to enable a between both OWFs, while Norther is situat- correct conversion towards sampled surface ed closest to shore (23 km from Zeebrugge). units. The fish tracks are more or less posi- This hints at potentially different epibenthos tioned following the depth contours parallel and demersal-benthopelagic fish assemblag- to the coastline, thereby minimizing the depth es. If so, results of the current impact moni- variation within a single track, except for ft- toring in C-Power and Belwind may not di- Nor1 and ftNor2 within the Norther conces- rectly be extrapolated to the future OWFs. sion which are perpendicular to the coastline due to the future positioning of the infield We sampled both future concession are- electricity cables. On board, epibenthos and as in autumn 2016: fish were identified, counted, measured (fish, 1) to evaluate whether the soft sediment crabs and shrimps) and wet weighted (only epibenthos and fish assemblages of the epibenthos). The samples that could not be future OWFs (Rentel and Norther) dif- fully processed on board were frozen and fer from the reference zones currently further processed in the lab. monitored for the OWFs (C-Power and Belwind); 2.2. Data used and statistical analyses 2) to determine the reference conditions Pelagic species (based on www.fishbase. (T0) for both future OWFs (Rentel and org) such as Sprattus sprattus, Trachurus Norther), and to evaluate the suitability trachurus, Scomber scombrus, next to jel- of the reference locations for future im- lyfish and polychaetes were excluded from pact assessments. 40 Chapter 4. Reference conditions for the soft sediment epibenthos and dermersal-benthopelagic fish the analyses, as these are not quantitatively performed to determine where the differenc- sampled with a beam trawl. es were situated. P values for pairwise test were, due to the restricted number of possi- 2.2.1. Community analysis of the wider Belgian ble permutations, drawn from Monte Carlo offshore wind farm area (MC) permutations (Anderson & Robinson 2003). SIMPER analyses were done to ap- The reference locations of the Belwind and point the species most responsible for the C-Power impact monitoring of 2016 were observed differences. included to test for differences in the soft sediment epibenthos and fish assemblage All analyses were executed using between the future concession areas Norther Primer v6 with PERMANOVA add-on and Rentel and the reference zones of the software (Clarke & Gorley 2006; Anderson operational OWFs Belwind and C-Power et al. 2008). (fig. 1; De Backer & Hostens 2017). This al- lowed for a community analysis in the wider 2.2.2. Reference condition (T0) for Norther and OWF area. For this analysis, we tested the Rentel area effect for two ecosystem components To determine the T0 in both future OWFs, (epibenthos and demersal-benthopelagic a descriptive analysis was executed at the fish) in a one-way PERMANOVA design sample level in order to be able to observe with factor ‘concession area’ for univariate the degree of variability between samples in variables (species number, density, biomass) one area. The number of samples (2 impact and for community structure. Multivariate and 2 reference) was too low for a statistical- data were fourth root transformed and sim- ly sound evaluation of the suitability of the ilarity among samples was quantified using reference locations for Norther and Rentel. Bray-Curtis similarity index. PERMANOVA Therefore, univariate measures, species analyses on univariate data (species rich- number, density and biomass (for epibenthos ness, density and biomass) were performed only), were calculated for each fish track, to- on Euclidean distance resemblance matri- gether with relative abundance of the domi- ces with unrestricted permutations of raw nant species. Univariate measures were then data. PERMDISP test was used to test for visualized in ArcGIS, allowing for an expert homogeneity of dispersion within groups for judgement on the suitability of the reference a correct interpretation of the PERMANOVA locations for future impact assessments of results. Whenever a significant ‘conces- Norther and Rentel. sion’ effect was found, pairwise tests were 41 De Backer & Hostens Figure 1. Overview map showing the T0 trawl locations in the Norther and Rentel concession areas and their respective reference locations (black). Dark blue are reference locations for C-Power and light blue reference locations for Belwind, which were included for the wider offshore wind farm area community analysis. 42 Chapter 4. Reference conditions for the soft sediment epibenthos and dermersal-benthopelagic fish 3. Results Pairwise tests showed that Norther dif- fered significantly from all other concession 3.1. Community analysis of the wider zones, both in community structure and dis- offshore wind farm area persion level, indicating a high degree of heterogeneity in the Norther zone (fig. 3). 3.1.1. Epibenthos Rentel and Belwind showed as well a signif- Number of species (S) per sample did not icantly different community structure. differ significantly between the four zones.
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