© OpenStreetMap contributors
- Add External Layer
- Upload Shapefile
- Layer Tutorial
- Close
Use the checkbox () to show or hide a layer.
Use the radio buttons () to select a layer to use with the identify function.
- Layers
- Opacity
Available layers
(ctrl+c)
Search for marine data across UK organisations
- API
- How-To
- About
- Contact MEDIN
- Share
Metadata: Modelled projections of habitat for fish species feeding guilds around North-western Europe under climate change, 2010 to 2095
Abstract:
These data are Bayesian Additive Regression Tree model annual predictions for habitat suitability of marine fish species across a range of body sizes and belonging to different feeding guilds from 2010 to 2095 in 5 year intervals in the northeast Atlantic shelf seas. Feeding guilds were allocated based on classifications following Thompson et al. (2020).
Data holder:
Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS)
| Other details | ||
| Internal code | Internally assigned metadata identifier | 10721 |
| Title | The title is used to provide a brief and precise description of the dataset such as 'Date', 'Originating organisation/programme', 'Location' and 'Type of survey'. All acronyms and abbreviations should be reproduced in full. | Modelled projections of habitat for fish species feeding guilds around North-western Europe under climate change, 2010 to 2095 |
| File Identifier | The File Identifier is a code, preferably a GUID, that is globally unique and remains with the same metadata record even if the record is edited or transferred between portals or tools. | CEFASc8372969-0687-4372-97da-b63c75608719 |
| Resource Identifier | This is the code assigned by the data owner. | CEFAS21688 |
| Resource type | The resource type will likely be a dataset but could also be a series (collection of datasets with a common specification) or a service. | dataset |
| Start date | This describes the date the resource starts. This may only be the year if month and day are not known | 2010 |
| End date | This describes the date the resource ends. This may only be the year if month and day are not known | 2095 |
| Frequency of updates | This describes the frequency with which the resource is modified or updated i.e. a monitoring programme that samples once per year has a frequency that is described as 'annually'. | notPlanned |
| Abstract | The abstract provides a clear and brief statement of the content of the resource. | These data are Bayesian Additive Regression Tree model annual predictions for habitat suitability of marine fish species across a range of body sizes and belonging to different feeding guilds from 2010 to 2095 in 5 year intervals in the northeast Atlantic shelf seas. Feeding guilds were allocated based on classifications following Thompson et al. (2020). |
| Lineage | Lineage includes the background information, history of the sources of data, data quality statements and methods. | The purpose of this study was to predict how climate change could affect the species richness of consumers lower in the food web (planktivores), compared to those intermediate (benthivores) and higher up (piscivores). In brief, a collation of trophic interactions spanning the northeast Atlantic shelf seas has been applied to define feeding guilds by grouping fish species size classes (we use the taxonomic level of Gobiidae and Ammodytes for taxa that are not consistently identified to species) that have prey taxa in common, and whose prey differentiate them from other predator guilds based on cluster analysis. Taxon-specific size categories were defined as: <3 cm as larvae; small juvenile fish between 3 cm and half of length at maturity; juvenile-medium fish from half of length at maturity to length at maturity; medium fish from length at maturity to half-maximum length; and all remaining larger fish as large. Taxon-specific length at maturity and maximum length (i.e., asymptotic length at infinity) were estimated using the R package Fishlife (Thorson et al., 2017). Environmental projections were derived from the coupled marine ecosystem models POLCOMS/NEMO-ERSEM. We focus on two emission scenarios (representative concentration pathways, RCPs) developed for the Intergovernmental Panel on Climate Change (IPCC)’s fifth phase of the Coupled Model Intercomparison Project (CMIP5): RCP4.5, the “stabilization scenario”, characterised by medium emissions and high mitigations, and the “no mitigation policy” scenario RCP8.5, derived from high fossil fuel emission and low mitigations. We use projections of temperature, salinity, pH, nitrate, phosphate, dissolved oxygen, current velocity, chlorophyll, gross primary production, non-living organic carbon, zooplankton carbon concentration and secondary carbon production by zooplankton in our predictive habitat models. For temperature, salinity, current velocity, dissolved oxygen, and pH both surface and bottom mean annual averages were considered, and in the case of temperature, also the difference between bottom and surface values, to account for stratification. For chlorophyll, gross primary production, non-living organic carbon, phosphate, nitrate, zooplankton carbon concentration and secondary carbon production by zooplankton the total across the water column was used, rather than surface or bottom values. We also include depth (from the General Bathymetric Chart of the Oceans GEBCO; `www.gebco.net`_, at 15 second resolution), distance to coast and substrate composition (median grain size and percentages of mud, sand and gravel from Wilson et al., 2018) to capture key spatial gradients that affect habitat suitability for fish. All environmental data was processed onto a 10 km by 10 km grid, and because an annual mean of, e.g., temperature, does not capture the environmental variability that ultimately determines the thresholds within which biota must survive; for temperature, salinity, pH, oxygen and current speed we also include the standard deviation of the 12 monthly means in each year, for all locations within a radius of 75 km of each grid cell, in order to provide a measure of spatio-temporal heterogeneity. For the environmental variables where surface and bottom values were extracted, we use sea surface values to model habitat suitability for planktivores, which are largely pelagic species, and seabed values for the benthivores and piscivores which are largely demersal species. Pairwise Pearson correlation coefficients were computed for the set of environmental variables used to model the habitat of planktivores and of non-planktivores separately, to assess multicollinearity. Variables were removed if they correlated with another >0.7. Additionally we provide data on model performance and presence/absence thresholds, in the file "Model performance and threshold.xlsx". Model performance is measured via the area under the curve (AUC) of the Receiver Operating Characteristic (ROC) plot, the AUC of the Precision-Recall (PR) plot (He & Garcia, 2009), and the Miller slope (Miller et al., 1991). We assess model performance in both space and time. Spatial performance was analysed via 8-fold block cross validation using the R library “blockCV” (Valavi et al., 2019). Temporal performance of the models was assessed by training a new model that excluded the last 5 years of survey data (2015 to 2019), using the resulting model to predict to those 5 years, a “novel time period” for that model. These data were produced for the study in the article "Climate change affects the distribution of diversity across marine food webs", by Murray S. A. Thompson, Elena Couce, Michaela Schratzberger and Christopher P. Lynam, in Global Change Biology (in press). .. _`www.gebco.net`: http://www.gebco.net |
| Related keywords | ||
| Keyword | General subject area(s) associated with the resource, uses multiple controlled vocabularies | Habitat |
| General subject area(s) associated with the resource, uses multiple controlled vocabularies | Fish | |
| General subject area(s) associated with the resource, uses multiple controlled vocabularies | Habitat extent | |
| General subject area(s) associated with the resource, uses multiple controlled vocabularies | Habitat characterisation | |
| General subject area(s) associated with the resource, uses multiple controlled vocabularies | Model | |
| General subject area(s) associated with the resource, uses multiple controlled vocabularies | Climate | |
| General subject area(s) associated with the resource, uses multiple controlled vocabularies | Species distribution | |
| General subject area(s) associated with the resource, uses multiple controlled vocabularies | Inapplicable | |
| General subject area(s) associated with the resource, uses multiple controlled vocabularies | Marine Environmental Data and Information Network | |
| General subject area(s) associated with the resource, uses multiple controlled vocabularies | data.gov.uk | |
| Geographical coverage | ||
| North | The northern-most limit of the data resource in decimal degrees | 52.4595 |
| East | The eastern-most limit of the data resource in decimal degrees | 1.74086 |
| South | The southern-most limit of the data resource in decimal degrees | 52.4581 |
| West | The western-most limit of the data resource in decimal degrees | 1.73881 |
| Responsible organisations | ||
| Role | The point of contact is person or organisation with responsibility for the creation and maintenance of the metadata for the resource. | pointOfContact |
| Organisation name | Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) | |
| Delivery point | Cefas Lowestoft Laboratory, Pakefield Road | |
| Postal code | NR33 0HT | |
| City | Lowestoft | |
| Administrative area | Suffolk | |
| Country | UK | |
| data.manager@cefas.co.uk | ||
| Role | The originator is the person or organisation who created, collected or produced the resource. | originator |
| Organisation name | Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) | |
| Delivery point | Cefas Lowestoft Laboratory, Pakefield Road | |
| Postal code | NR33 0HT | |
| City | Lowestoft | |
| Administrative area | Suffolk | |
| Country | UK | |
| data.manager@cefas.co.uk | ||
| Role | The custodian is the person or organisation that accepts responsibility for the resource and ensures appropriate care and maintenance. If a dataset has been lodged with a Data Archive Centre for maintenance then this organisation is be entered here. | custodian |
| Organisation name | Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) | |
| Delivery point | Cefas Lowestoft Laboratory, Pakefield Road | |
| Postal code | NR33 0HT | |
| City | Lowestoft | |
| Administrative area | Suffolk | |
| Country | UK | |
| data.manager@cefas.co.uk | ||
| Role | The distributor is the person or organisation that distributes the resource. | distributor |
| Organisation name | Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) | |
| Delivery point | Cefas Lowestoft Laboratory, Pakefield Road | |
| Postal code | NR33 0HT | |
| City | Lowestoft | |
| Administrative area | Suffolk | |
| Country | UK | |
| data.manager@cefas.co.uk | ||
| Role | The owner is the person or organisation that owns the resource. | owner |
| Organisation name | Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) | |
| data.manager@cefas.co.uk | ||
| Role | The owner is the person or organisation that owns the resource. | owner |
| Organisation name | European Commission | |
| info@publications.europa.eu | ||
| Resource locators | ||
| Locator URL | Web address (URL) that links to the resource | https://data.cefas.co.uk/view/21688 |
| Locator name | Name of the web resource | Cefas Data Portal |
| Dataset constraints | ||
| 20.1 Limitations on Public Access - Access constraints | This states `otherRestrictions` from ISO vocabulary RestrictionCode and is an INSPIRE/GEMINI requirement. | otherRestrictions |
| 20.2 Limitations on Public Access - Other constraints | noLimitations | |
| 21.1 Conditions for Access and Use - Use constraints | This states `otherRestrictions` from ISO vocabulary RestrictionCode and is an INSPIRE/GEMINI requirement. | otherRestrictions |
| 21.2 Conditions for Access and Use - Other constraints | https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ | |
| Version info | ||
| Date of publication | The publication date of the resource or if previously unpublished the date that the resource was made publicly available via the MEDIN network. | 2023-07-06 |
| Date of last revision | The most recent date that the resource was revised. | 2024-07-24 |
| Date of creation | The date that the resource was created. | 2023-07-03 |
| Harvest date | The date which this record has been (re)harvested from the provider. | 2026-04-19 |
| Metadata date | The date when the content of this metadata record was last updated. | 2024-07-24 |
| Metadata standard name | The name of the metadata standard used to create this metadata | MEDIN |
| Metadata standard version | The version of the MEDIN Discovery Metadata Standard used to create the metadata record | 3.1.1 |