Abstract. Plankton form the base of the marine food web and are sensitive indicatorsof environmental change. Plankton time series are therefore an essentialpart of monitoring progress towards global biodiversity goals, such as theConvention on Biological Diversity Aichi Targets, and for informingecosystem-based policy, such as the EU Marine Strategy Framework Directive.Multiple plankton monitoring programmes exist in Europe, but differences insampling and analysis methods prevent the integration of their data,constraining their utility over large spatio-temporal scales. The PlanktonLifeform Extraction Tool brings together disparate European planktondatasets into a central database from which it extracts abundancetime series of plankton functional groups, called “lifeforms”, according toshared biological traits. This tool has been designed to make complexplankton datasets accessible and meaningful for policy, public interest, andscientific discovery. It allows examination of large-scale shifts inlifeform abundance or distribution (for example, holoplankton beingpartially replaced by meroplankton), providing clues to how the marineenvironment is changing. The lifeform method enables datasets with differentplankton sampling and taxonomic analysis methodologies to be used togetherto provide insights into the response to multiple stressors and robustpolicy evidence for decision making. Lifeform time series generated with thePlankton Lifeform Extraction Tool currently inform plankton and food webindicators for the UK's Marine Strategy, the EU's Marine Strategy FrameworkDirective, and for the Convention for the Protection of the MarineEnvironment of the North-East Atlantic (OSPAR) biodiversity assessments.The Plankton Lifeform Extraction Tool currently integrates 155 000 samples,containing over 44 million plankton records, from nine different planktondatasets within UK and European seas, collected between 1924 and 2017.Additional datasets can be added, and time series can be updated. The PlanktonLifeform Extraction Tool is hosted by The Archive for Marine Species andHabitats Data (DASSH) at https://www.dassh.ac.uk/lifeforms/ (last access: 22 November 2021, Ostle et al., 2021). The lifeform outputs are linked to specific, DOI-ed, versions of thePlankton Lifeform Traits Master List and each underlying dataset.
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Modelling approaches for capturing plankton diversity (MODIV), their societal applications and data needs
Ecosystem models need to capture biodiversity, because it is a fundamental determinant of food web dynamics and consequently of the cycling of energy and matter in ecosystems. In oceanic food webs, the plankton compartment encompasses by far most of the biomass and diversity. Therefore, capturing plankton diversity is paramount for marine ecosystem modelling. In recent years, many models have been developed, each representing different aspects of plankton diversity, but a systematic comparison remains lacking. Here we present established modelling approaches to study plankton ecology and diversity, discussing the limitations and strengths of each approach. We emphasize their different spatial and temporal resolutions and consider the potential of these approaches as tools to address societal challenges. Finally, we make suggestions as to how better integration of field and experimental data with modelling could advance understanding of both plankton biodiversity specifically and more broadly the response of marine ecosystems to environmental change, including climate change.
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- Award ID(s):
- 2140395
- PAR ID:
- 10533429
- Publisher / Repository:
- Frontiers
- Date Published:
- Journal Name:
- Frontiers in Marine Science
- Volume:
- 9
- ISSN:
- 2296-7745
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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