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Conservation Interest1 #709228
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+Citations (1) - CitationsAdd new citationList by: CiterankMapLink[1] Capturing diversity: Split systems and circular approximations for conservation
Author: Niloufar Abhari, Caroline Colijn, Arne Mooers, Paul Tupper Publication date: 8 December 2023 Publication info: Journal of Theoretical Biology, Volume 578, 2024, 111689, ISSN 0022-5193, Cited by: David Price 4:08 PM 12 January 2024 GMT Citerank: (3) 679761Caroline ColijnDr. Caroline Colijn works at the interface of mathematics, evolution, infection and public health, and leads the MAGPIE research group. She joined SFU's Mathematics Department in 2018 as a Canada 150 Research Chair in Mathematics for Infection, Evolution and Public Health. She has broad interests in applications of mathematics to questions in evolution and public health, and was a founding member of Imperial College London's Centre for the Mathematics of Precision Healthcare.10019D3ABAB, 679862Paul TupperProfessor in the Department of Mathematics at Simon Fraser University.10019D3ABAB, 701020CANMOD – PublicationsPublications by CANMOD Members144B5ACA0 URL: DOI: https://doi.org/10.1016/j.jtbi.2023.111689.
| Excerpt / Summary [Journal of Theoretical Biology, 8 December 2023]
We investigated the implications of employing a circular approximation of split systems in the calculation of maximum diversity subsets of a set of taxa in a conservation biology context where diversity is measured using Split System Diversity (SSD). We conducted a comparative analysis between the maximum SSD score and the maximum SSD set(s) of size k, efficiently determined using a circular approximation, and the true results obtained through brute-force search based on the original data. Through experimentation on simulated datasets and SNP data across 50 Atlantic Salmon populations, our findings demonstrate that employing a circular approximation can lead to the generation of an incorrect max-SSD set(s). We built a graph-based split system whose circular approximation led to a max-SSD set of size k=4 that was less than the true max-SSD set by 17.6%. This discrepancy increased to 25% for k=11 when we used a hypergraph-based split system. The same comparison on the Atlantic salmon dataset revealed a mere 1% difference. However, noteworthy disparities emerged in the population composition between the two sets. These findings underscore the importance of assessing the suitability of circular approximations in conservation biology systems. Caution is advised when relying solely on circular approximations to determine sets of maximum diversity, and careful consideration of the data characteristics is crucial for accurate results in conservation biology applications. |
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