Chen, Zelin (2023) Oil and gas platforms degrade benthic invertebrate diversity and food web structure. [Data Collection]
Chen, Zelin (2023) Oil and gas platforms degrade benthic invertebrate diversity and food web structure. [Data Collection]
Chen, Zelin 2024. Oil and gas platforms degrade benthic invertebrate diversity and food web structure. [Data Collection]. Colchester, University of Essex. 10.5526/ERDR-00000200
Collection description
Data and R code from an multiple before after control impact (MBACI) experiment conducted across a total of nine oil and gas platforms using the UK Benthos database v5.17. The dataset provides a comprehensive inventory of species identified in the database. Each taxon was verified against World Register of Marine Species, with their corresponding accepted names, taxonomy classification, feeding group, known prey and references provided. The compilation of food web interaction, the construction of sub food web at each sampling site and the calculation of food web metrics are shown in the R code. This dataset provides all the information from the experiment underpinning the Chen et al. Science of the Total Environment paper "Oil and gas platform degrade benthic invertebrate diversity and food web structure".
| Item Type: | Data Collection | ||||||||
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| Division: | Faculty of Science and Health > Life Sciences, School of | ||||||||
| Subjects: | Q Science > Q Science (General) | ||||||||
| Keywords: | marine benthic invertebrates, trophic interactions, Oil and gas platforms, North Sea ecosystem | ||||||||
| Research funder: | NERC | ||||||||
| Grant reference: | NE/T010800/1 | ||||||||
| Grant title: | Functionality and Ecological Connectivity of Man-Made Structures | ||||||||
| Depositor: | Zelin Chen | ||||||||
| Date Deposited: | 09 Feb 2024 12:31 | ||||||||
| Last Modified: | 15 Apr 2024 15:48 | ||||||||
| URI: | http://researchdata.essex.ac.uk/id/eprint/200 |
| Collection period: |
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| Geographic area: | Northwest Europe | ||||||||
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| Country: | United Kingdom | ||||||||
| Data collection method: | UKBenthos version 5.17 can be accessed through Oil Gas Energies UK (now updated to v5.18) (Access through https://oeuk.org.uk/product/ukbenthos-database-5-18/). Each species was assigned to one of six feeding groups based on main dietary content and distinct feeding behaviours: detritivore, filter feeder, grazer, parasite, predator, and scavenger. We assumed a total of nine basal resources present at all sites (bacteria, carrion, CPOM, faeces, FPOM, fungi, macroalgae, microalgae, and protists) and then assigned subsets of those basal resources to detritivores, filter feeders, grazers, and scavengers (see Table S2). A literature review of stomach content and host data of predators and parasites was conducted to compile their respective feeding interactions. Feeding interactions were only established when there were matches between records from peer-reviewed sources and species present in the UK Benthos database. Our literature research noted that a high proportion of predators can feed on dead animal prey, and thus we included carrion as a link to predators in our food webs. For any predator or parasite with no diet information, its prey or host would be inferred from other taxa in the same taxonomic level. We identified nine well-established topological metrics to describe the horizontal (e.g., number of species in a trophic level) and vertical (e.g., number of trophic levels) dimensions of food web architecture, including proportions of basal, intermediate, and top species, mean trophic level, standard deviations of normalised generality (generalitySD) and vulnerability (vulnerabilitySD), link richness, linkage density, and connectance. The definitions and ecological implications of all metrics are described in the Table S3. Each metrics was enumerated in R using the ‘cheddar’ package, with mean trophic level calculated using the ‘PreyAveragedTrophicLevel’ function | ||||||||
| Data type: | Text, Code, Numeric | ||||||||
| Metadata language: | English | ||||||||
| Resource language: | English |
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| Access conditions: | Must be cited. Please also cite papers above where relevant and for context. | ||||||||
| Data processing and preparation activities: | Individual spreadsheet should be extracted and saved as csv files before proceeding into data analysis in R. |
Available files
Data
Accessible to:: Anyone
File or bundle content: Data
Metadata Revision: 2
Mime-Type: application/zip
Licence: Creative Commons: Attribution 4.0
File Size: 2MB