Resolution changes relationships: Optimizing sampling design using small scale zooplankton data

Scott, James, Pitois, Sophie, Creach, Veronique, Malin, Gill ORCID:, Culverhouse, Phil and Tilbury, Julian (2023) Resolution changes relationships: Optimizing sampling design using small scale zooplankton data. Progress in Oceanography, 210. ISSN 0079-6611

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Marine research surveys are an integral tool in understanding the marine environment. Recent technological advances have allowed the development of automated or semi-automated methods for the collection of marine data. These devices are often easily implemented on existing surveys and can collect data at finer spatiotemporal resolutions than traditional devices. We used two automated instruments: the Plankton Imager and FerryBox, to collect information on zooplankton, temperature, salinity and chlorophyll in the Celtic Sea. The resulting data were spatiotemporally aligned and merged to decreasing spatial resolutions to explore how distribution patterns and the relationship between variables change across different spatial resolutions. Relative standard deviation was used to describe variability of merged data within grid cells. All variables displayed large, area-wide spatial patterns excluding copepod size which remained consistent across the study area. Copepod biomass and abundance displayed high variations across small spatial scales. Decreasing the sampling resolution changed the description of the data where small spatial changes (those that occur over scales < 3 km) were lost and area wide patterns were emphasized. Furthermore, we found that the choice of resolution can affect both the statistical strength and significance of relationships with high variability at lower resolutions due to the mismatch between the scales of ecological processes and sampling. Determining the optimum sampling resolution to answer a specific question will be dependent upon several factors, mainly the variable measured, season, location and scale of process, which all drive variation. These considerations should be a key element of survey design, helping move towards an integrated approach for an improved understanding of ecosystem processes and gaining a more holistic description of the marine environment.

Item Type: Article
Additional Information: Funding Information: through the EnvEast Doctoral Training Partnership (Grant No NE/L002582/1); co-funded by Cefas as part of the Cefas-UEA Strategic Alliance. The PELTIC survey is supported by the UK Government Department for Environment, Food and Rural Affairs (DEFRA) under the EU Data Collection framework with contributions from grant BX013 (“Extension of the pelagic survey, Peltic, to map and quantify the pelagic fish resources in the SW of the UK”). DEFRA have not contributed to any of the science.
Uncontrolled Keywords: automated sampling,continuous sampling,fine spatial data,mesozooplankton,pelagic monitoring,sampling resolution,geology,aquatic science,sdg 14 - life below water ,/dk/atira/pure/subjectarea/asjc/1900/1907
Faculty \ School: Faculty of Science > School of Environmental Sciences
UEA Research Groups: Faculty of Science > Research Groups > Collaborative Centre for Sustainable Use of the Seas
Faculty of Science > Research Groups > Centre for Ocean and Atmospheric Sciences
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Depositing User: LivePure Connector
Date Deposited: 03 Jan 2023 13:33
Last Modified: 14 Apr 2023 01:04
DOI: 10.1016/j.pocean.2022.102946


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