Notice Information
Notice Title
Defining the geographic scale of fish species populations, for impact assessments of low carbon energy proje
Notice Description
The Government's commitment to Carbon Net Zero targets1 is driving the rapid expansion of the UK renewable energy sector. The Government Ten Point Plan for a Green Industrial Revolution2 outlines further commitments to low-carbon energy technologies, including nuclear power. Renewable energy, nuclear power station developments, and other Nationally Significant Infrastructure Projects are all required to conduct Environmental Impact Assessments (EIA), as well as other statutory assessments, to fulfil environmental regulations and support the consenting process for the projects. There is currently a lack of guidance on the process to define the geographic scales of populations of fish species in the marine environment, as required for use in EIA, Habitats Regulations Assessments (HRA), and Marine Conservation Zone assessments (MCZa). Establishing standardised process will ensure consistency in approach between projects, robustness for consenting processes, and has the potential to de-risk and streamline the consenting process for developments and regulators. EIA has traditionally taken an approach of assessing losses of fish in a solely anthropogenic context, comparing losses to fishery management stock units, or fishery landings data. This approach however, is not considered relevant when assessing fish populations as features of MPAs, Estuarine N2K sites (SAC/RAMSAR), or as prey species for protected marine mammals and seabirds. High-quality, standardised assessments will contribute to delivering the 25 Year Environment Plan and achieving Good Environmental Status under the UK Marine Strategy.
Notice Details
Publication & Lifecycle
- Open Contracting ID
- ocds-b5fd17-0ddf501b-697b-4549-bcff-e093bb7fa9d3
- Publication Source
- Contracts Finder
- Latest Notice
- https://www.contractsfinder.service.gov.uk/Notice/22a74730-91f1-417d-92b7-eafdb74da0f1
- Current Stage
- Award
- All Stages
- Award
Procurement Classification
- Notice Type
- Award Notice
- Procurement Type
- Framework
- Procurement Category
- Services
- Procurement Method
- Selective
- Procurement Method Details
- Call-off from a framework agreement
- Tender Suitability
- SME, VCSE
- Awardee Scale
- Large
Common Procurement Vocabulary (CPV)
- CPV Divisions
73 - Research and development services and related consultancy services
-
- CPV Codes
73100000 - Research and experimental development services
Notice Value(s)
- Tender Value
- Not specified
- Lots Value
- Not specified
- Awards Value
- £48,037 Under £100K
- Contracts Value
- Not specified
Notice Dates
- Publication Date
- 29 Dec 20223 years ago
- Submission Deadline
- 30 Sep 2022Expired
- Future Notice Date
- Not specified
- Award Date
- 29 Sep 20223 years ago
- Contract Period
- 2 Oct 2022 - 24 Mar 2023 1-6 months
- Recurrence
- Not specified
Notice Status
- Tender Status
- Complete
- Lots Status
- Not Specified
- Awards Status
- Active
- Contracts Status
- Not Specified
Buyer & Supplier
Contracting Authority (Buyer)
- Main Buyer
- DEFRA NETWORK ETENDERING PORTAL
- Contact Name
- Defra
- Contact Email
- dgcenquiries@defra.gov.uk
- Contact Phone
- 00
Buyer Location
- Locality
- LONDON
- Postcode
- SW1P 3JR
- Post Town
- South West London
- Country
- England
-
- Major Region (ITL 1)
- TLI London
- Basic Region (ITL 2)
- TLI3 Inner London - West
- Small Region (ITL 3)
- TLI35 Westminster and City of London
- Delivery Location
- TLI London
-
- Local Authority
- Westminster
- Electoral Ward
- St James's
- Westminster Constituency
- Cities of London and Westminster
Further Information
Notice Documents
-
https://www.contractsfinder.service.gov.uk/Notice/22a74730-91f1-417d-92b7-eafdb74da0f1
29th December 2022 - Awarded contract notice on Contracts Finder -
Open Contracting Data Standard (OCDS)
View full OCDS Record for this contracting process
The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts.
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