Additional file 1 of Biomonitoring 2.0 Refined: observing local change through metaphylogeography using a community-based eDNA metabarcoding monitoring network

Additional file 1: Tables S1–S11. Table S1 Number of species bound clusters belonging to each order. Table S2 Permutational analysis of variance of community representations on region group separation using Sørensen dissimilarity. Table S3 Dispersion comparison of community representations on region group separation using Sørensen dissimilarity.Table S4 Pairwise permutational analysis of variance of community representations on region group separation using Sørensen dissimilarity. Table S5 Permutational analysis of variance of intraspecific and community representations on region group separation using Sørensen dissimilarity. Table S6 Dispersion comparison of intraspecific and community representations on region group separation using Sørensen dissimilarity. Table S7 Pairwise permutational analysis of variance of intraspecific and community representations on region group separation using Sørensen dissimilarity. Table S8 Spearman’s rank correlation between intraspecific genetic variation and community β-diversity dissimilarity matrices. Table S9 Spearman’s rank correlation between intraspecific genetic variation and geodesic distances of sampling location. Table S10 Summary of Spearman’s rank correlation between scrambled cluster β-diversity and geodesic distances of sampling location. Table S11 Comparison of SBCs with F230R and MLJG amplicons.

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Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29455702.v1
Primary Topic
Environmental DNA in Biodiversity Studies
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article
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Additional file 1 of Biomonitoring 2.0 Refined: observing local change through metaphylogeography using a community-based eDNA metabarcoding monitoring network

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Environmental DNA in Biodiversity Studies
article

Additional file 1 of Biomonitoring 2.0 Refined: observing local change through metaphylogeography using a community-based eDNA metabarcoding monitoring network

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Abstract

Additional file 1: Tables S1–S11. Table S1 Number of species bound clusters belonging to each order. Table S2 Permutational analysis of variance of community representations on region group separation using Sørensen dissimilarity. Table S3 Dispersion comparison of community representations on region group separation using Sørensen dissimilarity.Table S4 Pairwise permutational analysis of variance of community representations on region group separation using Sørensen dissimilarity. Table S5 Permutational analysis of variance of intraspecific and community representations on region group separation using Sørensen dissimilarity. Table S6 Dispersion comparison of intraspecific and community representations on region group separation using Sørensen dissimilarity. Table S7 Pairwise permutational analysis of variance of intraspecific and community representations on region group separation using Sørensen dissimilarity. Table S8 Spearman’s rank correlation between intraspecific genetic variation and community β-diversity dissimilarity matrices. Table S9 Spearman’s rank correlation between intraspecific genetic variation and geodesic distances of sampling location. Table S10 Summary of Spearman’s rank correlation between scrambled cluster β-diversity and geodesic distances of sampling location. Table S11 Comparison of SBCs with F230R and MLJG amplicons.

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University of New Brunswick (CA), University of Guelph (CA)
Openalex Percentile: Top 50%
Environmental DNA in Biodiversity Studies
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Additional file 1 of Biomonitoring 2.0 Refined: observing local change through metaphylogeography using a community-based eDNA metabarcoding monitoring network · Figshare (2025) | TGRS Research Map | TGRS