University of Plymouth Research Data
https://pearl.plymouth.ac.uk/handle/10026.1/9104
2024-03-28T07:33:18ZYealm Mapper data for QGIS
https://pearl.plymouth.ac.uk/handle/10026.1/22062
Yealm Mapper data for QGIS
Lewin, Shaun
The project has been carried out as part of the DARCEE project (Data Accessibility for River Catchment Environmental Education) funded by NERC (agreement GR352). The purpose is to promote public engagement with environmental science by making data more accessible and useable. The project team have worked with a community group (Yealm Estuary to Moor) to develop a user-friendly bespoke data package for use with QGIS. Users of the data will be able to view the data in map form and carry out simple spatial analysis as well as input their own data to QGIS to create new data.
The dataset includes environmental data for the River Yealm catchment and estuary that has been sourced from national open data sets. The data relates to water quality, flood risk, river obstructions, land cover including woodlands and geographical data. The dataset also includes coding so that the data can be viewed in a simplified QGIS view.
2024-02-19T00:00:00ZDementia-PersonAlised Care Team (D-PACT) intervention
https://pearl.plymouth.ac.uk/handle/10026.1/22029
Dementia-PersonAlised Care Team (D-PACT) intervention
Musicha, C; Oh, T; Ukoumunne, O; Goldsmith, K; Byng, R; Iliffe, S; Allgar, V
Statistical Analysis Plan
2023-12-05T00:00:00ZDementia Person Aligned Care Team – Dementia Support Study Feasibility Trial
https://pearl.plymouth.ac.uk/handle/10026.1/22027
Dementia Person Aligned Care Team – Dementia Support Study Feasibility Trial
Musicha, C; Oh, T; Creanor, S; Ukoumunne, O; Byng, R; Goldsmith, K
Statistical Analysis Plan
2022-09-14T00:00:00ZThe silent majority: pico- and nanoplankton as ecosystem health indicators for marine policy
https://pearl.plymouth.ac.uk/handle/10026.1/21971
The silent majority: pico- and nanoplankton as ecosystem health indicators for marine policy
McQuatters-Gollop, A; Stern, R; Atkinson, A; Best, M; Bresnan, E; Creach, V; Devlin, M; Holland, M; Ostle, C; Schmidt, K; Sheppard, L; Tarran, G; Woodward, EMS; Tett, P
Publications associated with the data and recommended citation format:
McQuatters-Gollop, A., Stern, R. F., Atkinson, A., Best, M., Bresnan, E., Creach, V., Devlin, M., Holland, M., Ostle, C., Schmidt, K., Sheppard, L., Tarran, G., Woodward, E. M. S., & Tett, P. (2024). The silent majority: pico- and nanoplankton as ecosystem health indicators for marine policy. Ecological Indicators.
Description of the dataset:
This data represented monthly mean abundance values in units of CELLS PER MILLILITRE for six tiny plankton lifeform groups: Heterotrophic nanoeukaryotes, Photosynthetic nanoeukaryotes, Photosynthetic picoeukaryotes, Synechococcus, LNA-bacteria and HNA-bacteria
Data originate from four separate monitoring programmes in the UK:
-L4: Plymouth Marine Laboratory - L4 station,
-LPO: Scottish Association for Marine Science - Lorne Pelagic Observatory,
-Marine Biological Association - Continuous Plankton Recorder Water and Microplankton Sampler (CPR WaMS),
-SCObs SH: Marine Directorate of the Scottish Government’s Scottish Coastal Observatory monitoring site at Stonehaven
Abstract:
A healthy marine ecosystem is a fully functioning system, able to supply ecosystem services whilst still maintaining resilience to human-induced environmental change. Monitoring and managing the health of resilient marine ecosystems requires indicators that can assess their biodiversity state and food web functioning. Plankton are crucial components of pelagic habitats, occupying the base of the pelagic food web. Larger plankton have long been used to monitor ecosystem productivity and biodiversity due to their identification via traditional light microscopy. In contrast, the regular monitoring of pico- and nanoplankton (<20µm; hereafter called “tiny plankton”) only started with the development of flow cytometry techniques, which has limited their inclusion as ecosystem health indicators.
Four UK plankton surveys have sampled and identified these tiny plankton for up to 14 years, providing an opportunity to test their suitability as indicators of ecosystem state. We investigated six groups of tiny plankton, including heterotrophic nanoeukaryotes, photosynthetic nanoeukaryotes, photosynthetic picoeukaryotes, and Synechococcus cyanobacteria, and two groups of heterotrophic bacteria. Flow cytometry and light microscopy data from an inshore Western English Channel station revealed that 99.98% of plankton abundance and 71% of plankton biomass was derived from tiny plankton cells too small to be quantified accurately under a light microscope and thus not adequately considered in assessments of pelagic habitats.
Different UK marine and coastal regions showed consistency in peak abundances of these tiny plankton. We used a novel wavelet coherence method to identify time-based relationships between tiny plankton and environmental variables linked to human pressures. Relationships were found between nitrogenous nutrients and all tiny plankton groups, most commonly at sub-annual to annual time scales. Photosynthetic picoeukaryotes, heterotrophic nanoeukaryotes, and HNA-bacteria were associated with high sea surface temperatures. Given the here established relationship between tiny plankton and environmental variables, and their importance in the full plankton assemblage, we recommend that, alongside existing microplankton lifeforms, tiny plankton groups can be used as plankton lifeforms, either individually or in combination, to inform biodiversity indicators that meet policy obligations under the EU Marine Strategy Framework Directive (MSFD), (Oslo-Paris Convention) OSPAR strategies, and the UK Marine Strategy.
2024-01-26T00:00:00Z