Identification

Title

Modelled projections of habitat for commercial fish around North-western Europe under climate change, 2020 to 2060

Abstract

Environmental Niche Model (ENM) outputs for 49 commercial fish species under climate change until the decade of 2060 around northwestern Europe. A model ensemble of 5 ENMs was used (MaxEnt, Generalised Linear Models, Support Vector Machine, Random Forest and BIOCLIM ), and projections were made under three different emission scenarios: A1B, RCP4.5 and RCP 8.5. The data shows model agreement (normalised to 1) for presence/absence decadal projections from 2020 to 2060. Additionally we provide data on model performance, with the Area Under the Curve (AUC) scores of the Receiver Operator Characteristic (ROC) curve for each of the 5 ENMs trained for each combination of fish species and emission scenario. Only ENMs with an AUC score of at least 0.7 were considered.

Resource type

dataset

Resource locator

https://data.cefas.co.uk/view/21677

name: Cefas Data Portal

description: The Cefas Data Portal contains metadata records and data sets available to download and connect to in support of our commitment to open science. Data is available in the following formats: Binary download.

function: download

Unique resource identifier

code

CEFAS21677

codeSpace

https://data.cefas.co.uk

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

environment

Keywords

Keyword set

keyword value

originating controlled vocabulary

title

reference date

date type

revision

effective date

2011-03-25

Keyword set

keyword value

originating controlled vocabulary

title

reference date

date type

publication

effective date

2008-06-01

Keyword set

keyword value

originating controlled vocabulary

title

reference date

date type

publication

effective date

2008-06-01

Keyword set

keyword value

originating controlled vocabulary

title

reference date

date type

revision

effective date

2010-05-18

Keyword set

keyword value

originating controlled vocabulary

title

reference date

date type

publication

effective date

2012-01-11

Keyword set

keyword value

originating controlled vocabulary

title

reference date

date type

publication

effective date

2012-01-11

Geographic location

West bounding longitude

1.73881

East bounding longitude

1.74086

North bounding latitude

52.4595

South bounding latitude

52.4581

Temporal reference

Temporal extent

Begin position

2011

End position

2070

Dataset reference date

date type

publication

effective date

2023-06-07

date type

revision

effective date

2024-07-24

date type

creation

effective date

2023-06-06

Frequency of update

notPlanned

Quality and validity

Lineage

The data is based on the output of an ensemble of 5 Environmental Niche Modeling techniques: Maximum Entropy (MaxEnt), Generalised Linear Model (GLM), Support Vector Machine (SVM), Random Forest and BIOCLIM. Each model was trained to capture the environmental requirements of individual fish species, using the 20 year-average in the period 1997-2016 of the environmental variables: near-bed sea temperature, sea surface temperature, near-bed salinity, sea surface salinity, the difference in near-bed and surface salinity and temperature (an approximation of stratification), and depth. Once the models were trained, they were used to study future habitat suitability for the 49 commercially-important fish species in 20-year averages centered in 2020, 2030, 2040, 2050 and 2060. To produce maps of the suitable habitat, the model projections were converted to binary presence/absence data using the thresholds that optimized the True Skill Statistics (TSS) of each model. The data shows the model agreement, normalised to 1 ("1" denotes all ENMs agree an area is suitable, "0" denotes all ENMs agree an area is not suitable). The number of ENMs considered for each combination of fish species and emission scenario depends on model performance. A ENM model was considered if its Area Under the Curve (AUC) score of the Receiver Operator Characteristic (ROC) curve was at least 0.7. Model performance is listed in the file "Model_performance_AUC.xlsx". Model input data: Climate change projection data from Met Office and Plymouth Marine Laboratory (PML) and species presence and abundance records from online databases (Ocean Biodiversity Information System (OBIS), Global Biodiversity Information System (GBIF) and Marine Scotland (Moriarty, M., Greenstreet, S.P.R. and Rasmussen, J. (2017) Derivation of Groundfish Survey Monitoring and Assessment Data Product for the Northeast Atlantic Area. Scottish Marine and Freshwater Science, 8, 240pp. `DOI: 10.7489/1984-1`_). Models were trained using the R and Maxent softwares. Study region: northeast Atlantic shelf. Latitudes between -17° and 9.25°; longitudes between 44° and 65°. These datasets were produced for the study in the article "Climate change projections of commercial fish distribution and suitable habitat around northwestern Europe", by Bryony L. Townhill, Elena Couce, Jonathan Tinker, Susan Kay, John K. Pinnegar, in *Fish and Fisheries* (2023; `http://doi.org/10.1111/faf.12773`_). .. _`doi: 10.7489/1984-1`: https://data.marine.gov.scot/dataset/derivation-groundfish-survey-monitoring-and-assessment-data-product-northeast-atlantic-area .. _`http://doi.org/10.1111/faf.12773`: http://doi.org/10.1111/faf.12773

Conformity

Conformity report

specification

title

reference date

date type

publication

effective date

2013-12-10

degree

false

explanation

See the referenced specification

Conformity report

specification

title

reference date

date type

publication

effective date

2010-12-08

degree

true

explanation

See the referenced specification

Data format

name of format

Unknown

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Responsible organisations

Responsible party

organisation name

Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS)

full postal address

Cefas Lowestoft Laboratory

Pakefield Road

Lowestoft

NR33 0HT

UK

email address

data.manager@cefas.co.uk

responsible party role

originator

Responsible party

organisation name

Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS)

full postal address

Cefas Lowestoft Laboratory

Pakefield Road

Lowestoft

NR33 0HT

UK

email address

data.manager@cefas.co.uk

responsible party role

custodian

Responsible party

organisation name

Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS)

full postal address

Cefas Lowestoft Laboratory

Pakefield Road

Lowestoft

NR33 0HT

UK

email address

data.manager@cefas.co.uk

responsible party role

distributor

Responsible party

organisation name

Department for Environment, Food and Rural Affairs (DEFRA)

email address

defra.helpline@defra.gov.uk

responsible party role

owner

Metadata on metadata

Metadata point of contact

organisation name

Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS)

full postal address

Cefas Lowestoft Laboratory

Pakefield Road

Lowestoft

NR33 0HT

UK

email address

data.manager@cefas.co.uk

responsible party role

pointOfContact

Metadata date

2024-07-24T11:46:30

Metadata language