James Asa Strong
Converting SACFOR data for statistical analysis: Validation, demonstration and further possibilities
Strong, James Asa; Johnson, Magnus
Dr Magnus Johnson M.Johnson@hull.ac.uk
Senior Lecturer in Environmental Marine Science
© 2020 The Author(s). Background: the context and purpose of the study: Semi-quantitative scales are often used for the rapid assessment of species composition and abundance during time-limited surveys. The semi-quantitative SACFOR abundance scale was developed to support the observation of marine habitats, communities and species and is widely used in the UK. As such, there is now a vast accumulation of SACFOR data. However, there several acknowledged limitations associated with its format that prevent re-analysis. Methods: how the study was performed and statistical tests used: A conversion process is proposed here that allows: (i) the merging of taxa within counts or cover data sub-sets; (ii) observations, based on either counts and cover, to be unified into one matrix; (iii) counts and cover data to have an equal weighting in the final matrix; and (iv) the removal of the influence of body size and growth form from the final values. To achieve this, it is only possible to preserve the ordinal structure of the data set. Results: the main findings: Simulations verified that the SACFOR conversion process (i) converted random cover and counts data whilst maintaining the majority of the ordinal structure and (ii) aligned abundance values regardless of whether it was recorded as a cover or count. A case study is presented, that uses real SACFOR observations, to demonstrate the conversion process and the application of statistical analyses routinely used in ecological assessments. Conclusions: brief summary and potential implications: It is hoped that the SACFOR conversion process proposed here facilitates: (i) the quantitative re-analysis of the burgeoning SACFOR data repository; and (ii) initiates a debate on alternative methods for the conversion of SACFOR data into analysable end products.
Strong, J. A., & Johnson, M. (2020). Converting SACFOR data for statistical analysis: Validation, demonstration and further possibilities. Marine Biodiversity Records, 13(1), https://doi.org/10.1186/s41200-020-0184-3
|Journal Article Type||Article|
|Acceptance Date||Jan 6, 2020|
|Online Publication Date||Feb 12, 2020|
|Publication Date||Feb 12, 2020|
|Deposit Date||Apr 1, 2022|
|Publicly Available Date||Apr 4, 2022|
|Journal||Marine Biodiversity Records|
|Publisher||Cambridge University Press (CUP)|
|Peer Reviewed||Peer Reviewed|
|Keywords||SACFOR scale; Conversion process; Semi-quantitative data analysis; Marine data reanalysis; Ordinal data; Benthic ecology|
Publisher Licence URL
© The Author(s) 2020.
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
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