Quantifying benefits and impacts of fishing exclusion zones around Marine Renewable Energy Installations

Lead Research Organisation: UNIVERSITY OF EXETER
Department Name: Biosciences

Abstract

See main proposal

Planned Impact

See main proposal

Publications

10 25 50
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Bicknell A (2016) Camera technology for monitoring marine biodiversity and human impact in Frontiers in Ecology and the Environment

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Merchant ND (2016) Underwater noise levels in UK waters. in Scientific reports

 
Description We have built a unique multi-taxon view of the marine biodiversity inside and outside the Wave Hub marine renewable energy site.
We have assessed the utility of novel and existing survey and monitoring methods in the process, providing knowledge of techniques and associated challenges.
The natural variation in marine communities found around the site illustrates the importance of long-term monitoring to be able to provide baseline data that can be used to identify effects/change cause by introduced infrastructure and/or energy devices.
Exploitation Route The dataset should be continued beyond the infrastructure installation stage (current) and used as baseline data for environmental assessment of renewable energy devices and arrays at Wave Hub (future).
The project findings illustrate the significant natural spatial and temporal (annual) variation found in marine communities that needs consideration by the marine renewables community when thinking about and/or implementing impact studies.
Sectors Aerospace

Defence and Marine

Education

Energy

Environment

Culture

Heritage

Museums and Collections

Transport

URL https://www.youtube.com/watch?v=e8ORL4r99yk&list=PL868210A42F3C27E1
 
Description UoE have recently completed and delivered a detailed analysis of all seabirds detected at the Wave Hub site (n = 29 surveys; commenced 2009, with almost no data collection in 2011). This report was commissioned by Wave Hub and the environmental consultants Halcrow to assist in future environmental impact assessment studies at the Wave Hub site for the planned installation of floating wind technology, to be funded by ETI. The Univ. of Exeter dataset provides the most detailed and comprehensive assessment of seabirds at the site and will no doubt be used to aid the decision-making processing relating to environmental consenting by UK statutory consultees. The report has been shaped following detailed dialogue with Natural England by Halcrow. Environmental report on the impact of floating wind renewables on seabirds. The baseline environmental data acquired by UoE during the project has been important leverage in a successful European funding (H2020) consortium bid to develop, test and assess a wave energy device and array at the Wave Hub site. A world first, this is an important step in moving towards commercial application of this energy generation concept and technology.
First Year Of Impact 2011
Sector Education,Energy,Environment,Leisure Activities, including Sports, Recreation and Tourism,Government, Democracy and Justice,Culture, Heritage, Museums and Collections
Impact Types Cultural

Policy & public services

 
Title Baseline Ecological dataset at the Wave Hub test facility 
Description Multi year (2-5 year) ecological baseline dataset of abundance, diversity, distribution and composition of marine species and communities. Including passive and active acoustic, video, catch and observational data. 
Type Of Material Database/Collection of data 
Provided To Others? No  
Impact Used as leverage to acquire funding to assess the environmental impact of a wave energy device and array. 
 
Title Data from: Using satellite AIS to improve our understanding of shipping and fill gaps in ocean observation data to support marine spatial planning 
Description 1. A key stage underpinning marine spatial planning (MSP) involves mapping the spatial distribution of ecological processes and biological features, as well the social and economic interests of different user groups. One sector, merchant shipping (vessels that transport cargo or passengers), however, is often poorly represented in MSP due to a perceived lack of fine-scale spatially explicit data to support decision making processes. 2. Here, using the Republic of Congo as an example, we show how publicly accessible satellite derived Automatic Identification System (S-AIS) data can address gaps in ocean observation data for shipping at a national scale. We also demonstrate how fine-scale (0.05 km2 resolution) spatial data layers derived from S-AIS (intensity, occupancy) can be used to generate maps of vessel pressure to provide an indication of patterns of impact on the marine environment and potential for conflict with other ocean-user groups. 3. We reveal that passenger vessels, offshore service vessels, bulk carrier and cargo vessels and tankers account for 93.7% of all vessels and vessel traffic annually, and that these sectors operate in a combined area equivalent to 92% of Congo's exclusive economic zone(EEZ) - far exceeding the areas allocated for other user-groups (conservation, fisheries and petrochemicals). We also show that the shallow coastal waters and habitats of the continental shelf are subject to more persistent pressure associated with shipping; and that the potential for conflict among user groups is likely to be greater with fisheries, whose zones are subject to the highest vessel pressure scores than with conservation or petrochemical sectors. 4. Synthesis and applications. Shipping dominates ocean use, and so excluding this sector from decision making could lead to increased conflict among user groups, poor compliance and negative environmental impacts. This study demonstrates how Satellite derived Automatic Identification System data can provide a comprehensive mechanism to fill gaps in ocean observation data and visualise patterns of vessel behaviour and potential threats to better support marine spatial planning at national scales.13-Feb-2018 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://datadryad.org/stash/dataset/doi:10.5061/dryad.6373nd6
 
Title Simulation of leatherback turtle hatchling dispersion patterns in the Gulf of Guinea 
Description This data set describes the location of virtual floats representing turtle hatchlings throughout 60 modeled years. Floats were constrained to remain within depths of 0-6 m due to the positive buoyancy of hatchlings. Floats were first assigned to one of 20,000 random release locations within a large release area 125-400 km offshore from nesting beaches throughout the Republic/Democratic Republic of the Congo, Gabon and Equatorial Guinea spanning latitudes of c. 6°S to 3.5°N. For each month over the 4-month long hatching season (January-April), each of the 20,000 floats was assigned a random release day and drift simulations ran every year during the period 1960-2007 resulting in drift trajectories of approx. 4 million virtual floats. See Scott et al., 2017, Spatio-temporal variation in ocean current-driven hatchling dispersion: Implications for the world's largest leatherback sea turtle nesting region. Diversity Distrib, http://dx.doi.org/10.1111%2Fddi.12554 for details as to the model parameters.Each data set consists of data on the float ID (number 1,2,3 etc..) and its trajectory attributes (latitude/longitude) at each time step. Data are also provided on the temperature, salinity and density of the float at its respective position/time step.Data sets are sorted by float release date, and contain one data file for each year. Each data file has 11 columns, which contain the following data: float id, longitude, latitude, depth, time step, temperature, salinity, density, no time steps since start, distance to start point, bearing from start point 
Type Of Material Database/Collection of data 
Year Produced 2017 
Provided To Others? Yes  
URL https://doi.pangaea.de/10.1594/PANGAEA.875004
 
Description The work led to biodiversity assessment work in Mynmar with WCS. Funded 
Organisation Wildlife Conservation Society
Country United States 
Sector Charity/Non Profit 
PI Contribution All members became involved. Post Doc Bicknell is now consulting in the region. Our input were techniques we had developed in QBEX.
Collaborator Contribution Funding, guidance and publicity,
Impact We have produced a Biodiversity Atlas and associated press
Start Year 2015
 
Title Web-based data discovery tool being populated with boundary, locations, audio and videos from NERC (and other) data sampling campaigns. 
Description Web based portal 
Type Of Technology Software 
Year Produced 2014 
Impact just launched 
URL https://expl.ore.exeter.ac.uk/explore