092b2128-84de-4782-9b07-43f90ca3f08d English series series 2026-08-06T15:37:26 MEDIN 3.1.2 biota Bird counts SeaDataNet Parameter Discovery Vocabulary 2026-06-19 revision Bird behaviour SeaDataNet Parameter Discovery Vocabulary 2026-06-19 revision Bird taxonomy-related abundance per unit area of surface SeaDataNet Parameter Discovery Vocabulary 2026-06-19 revision Research The Crown Estate Renewable Energy Development Phases 2012-05-15 revision Renewable Energy Lease area The Crown Estate Renewable Energy Development Areas 2012-05-15 revision Land use GEMET - INSPIRE themes, version 1.0 2009-07-31 revision Species distribution GEMET - INSPIRE themes, version 1.0 2009-07-31 revision SeaDataNet sea areas 2012-11-07 revision North Sea SeaVoX Vertical Co-ordinate Coverages 2020-05-21 revision inapplicable 2004-10-01T00:00:00 2005-09-30T23:59:59 0.429574612037093 0.490668789094874 53.1235139054851 53.2139573121939 TCE-732 Marine Data Exchange 2004-2005, Department of Trade and Industry (DTI), Inner Dowsing - Lynn - Lincs, Aerial Survey of Waterbirds in Strategic Wind Farm Areas Aerial Survey of Waterbirds in Strategic Wind Farm Areas 2023-05-02T09:04:58 publication English The study was conducted collaboratively by organisations including the Department of Trade and Industry, Wildfowl & Wetlands Trust Consulting, Joint Nature Conservation Committee, and others, and was carried out between October 2004 and September 2005 to assess waterbird and seabird populations in the North West, Greater Wash, and Thames Offshore Wind Farm Strategic Areas. Employing systematic aerial surveys using GPS-equipped aircraft, distance sampling, and supporting field counts with advanced population modeling, the study documented the spatial and seasonal distribution, abundance, and behaviors of key species, such as Common Scooter and Red-throated Diver. Analysis revealed significant concentrations of waterbirds in regions like Liverpool Bay and identified critical habitats and data gaps, particularly for potential Special Protection Areas. The surveys provided vital baseline data for environmental impact assessments in wind farm planning, demonstrated the need for continued synchronized monitoring and central coordination to improve coverage and inform policy decisions, and recommended further assessment of unsurveyed areas and ongoing collaboration among stakeholders to ensure ecologically responsible offshore wind farm development. There will be no limitations when published on the Marine Data Exchange otherRestrictions Data Must be used in accordance to the Marine Data Exchange's Terms of Use: https://www.marinedataexchange.co.uk/content/info/terms-of-use otherRestrictions The Crown Estate +44 020 7851 5000 enquiries@thecrownestate.co.uk custodian DTI Department of Trade and Industry Project Manager N/A originator The Crown Estate +44 020 7851 5000 enquiries@thecrownestate.co.uk distributor XceCo Limited ask@xceco.co.uk owner notPlanned Documents https://www.marinedataexchange.co.uk/details/TCE-732/summary A link to the web service or dataset. https://www.marinedataexchange.co.uk A link to the general host site. Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08T00:00:00 publication Conformity with the Commission Regulation (EU) No 1089/2010 was either not relevant to this dataset or not a requirement of the Marine Data Exchange for the creation and submission of this dataset; therefore, conformity has not been assessed and cannot be declared False series Aerial surveys used for this report were undertaken using a methodology developed in Denmark by the National Environment Research Institute (NERI) (Kahlert et al 2000; see also Camphuysen et al 2004). This involved a ‘distance sampling’ approach (see Buckland et al 2001), whereby the distance to each bird/flock of birds was recorded. Because birds further from the observer will be more difficult to detect, recording of distance allows the number of missed birds to be estimated. This approach allows statistical analyses of the data (e.g. confidence limits to be calculated for estimates of numbers) that would not be possible with data collected using previous aerial survey methods. Furthermore, using a combination of the time at which birds were encountered and the track flown by the plane (recorded using a Global Positioning System (GPS)), the locations of observed birds can be calculated with considerable accuracy (in most cases, to within a few hundred metres). The Crown Estate mde@thecrownestate.co.uk pointOfContact EPSG Geodetic Parameter Registry 2022-11-29 revision WGS 84