1 / 22

BarEcoRe data analysis workshop day 3: status

BarEcoRe data analysis workshop day 3: status. Group 2. Functional disversity calculation: General strategy. traits. species. dendrogram. TR. Dist. species. species. species. 1. P/A. FD. GRAPHS & DIAGNOSTICS. env. stations. stations. ENV. stations. Done.

venus
Download Presentation

BarEcoRe data analysis workshop day 3: status

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. BarEcoRe data analysis workshop day 3: status Group 2

  2. Functional disversity calculation: General strategy traits species dendrogram TR Dist species species species 1 P/A FD GRAPHS & DIAGNOSTICS env stations stations ENV stations

  3. Done Data available: • Ecosystem survey (2009) • Fish functionaltraits • Species namesmatchedbetweenthesetwo! R scripting of FD • Import of data • Data transformed to presence/absence • Functionaltraitsdendrogramcomputed

  4. Methodological issues • Choice of traits • Habitat (demersal, pelagic, bathy-demersal), Max Length, Trophic level (3,4,5), Migration (yes, no, little) • List of species (61) • Distance metric • Gower • Clustering method • Single, complete, average, McQuitty, median, centroid • Functional diversity metrics • Petchey Gaston

  5. Dendrograms

  6. Relative FD vs. sp richness

  7. Threshold in FD for high sp. Richness? FD Richness/FD Sp. richness Sp. richness

  8. Richness/FD vs. Richness

  9. Is the observed FD vs. Richness particular? • Compare with other systems • Compare with ‘null model’ • Random species association

  10. Species incidence Number of species Number of stations

  11. Species richness Number of species

  12. Functional diversity (size) Community – Bray Curtis cluster (colors)

  13. Community – Bray Curtis cluster (colors)

  14. Ratio=FD/S Should rather be the deviation from the 0-model

  15. Conclusions • High FD implies high adaptability • NE Barents Sea has relatively low FD • Environmental drivers of FD: Low temperature low FD Low salinity low FD Shallow stations <150m low FD • Higher FD than expected in communities assembled randomly

  16. What’snext? • Improvement of the trait matrix Functional traits (e.g. shape analysis) • Evaluation of the effects of traits & species selection on FD estimation • Quantitative measurement of differences between clustering methods • Environmental drivers of FD • Compare FD patterns to null models

More Related