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Antarctic Meroplankton: Distribution and Niche Model A tale of two failures

Antarctic Meroplankton: Distribution and Niche Model A tale of two failures. Ramon Gallego Simon. Meroplankton. Zooplankton. Size: Micro-, meso -, macro- Life cycle: Holoplankton , meroplankton. Meroplankton and its importance. Vs Holoplankton.

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Antarctic Meroplankton: Distribution and Niche Model A tale of two failures

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  1. Antarctic Meroplankton: Distribution and Niche Model A tale of two failures Ramon Gallego Simon

  2. Meroplankton • Zooplankton • Size: Micro-, meso-, macro- • Life cycle: Holoplankton, meroplankton.

  3. Meroplankton and its importance • Vs Holoplankton • Temporary inhabitants of the water column. • The pelagic larvae of the benthic marine invertebrates and fish. • Species dispersal, settlement and recruitment capability. • Early response to environmental changes (Edwards & Richardson, 2005) • Why is it important?

  4. Meroplankton and its importance • Meroplankton abundances and SD of Sea Surface Temperature show a high correlation • Species dispersal, settlement and recruitment capability. • Early response to environmental changes (Edwards & Richardson, 2005) • Why is it important? • Early response to environmental changes (Edwards & Richardson, 2005)

  5. Sampling the Ross Sea Open waters • Multi • Opening / • Closing • Net and • Environmental • Sensing • System Ross Sea Open Waters • Continuous Plankton Recorder

  6. Sampling techniques • MOCNESS

  7. Sampling techniques • MOCNESS Site 122 C16 Sample4: 200-0m Sample3: 400-200m Sample2: 600-400m Sample1: 890-600m

  8. MOCNESS Sampling sites • Admiralty Seamount and Scott Island • Ross Sea • Slope • Ross Sea • Shelf

  9. Research objectives • Describe the Ross Sea open water meroplankton community • Compare to results from the Ross Sea Coast • Compare to multiple studies from the Antarctic Peninsula • Determine how different environmental factors (e.g. geographic area, depth strata, water mass) explain variation in meroplankton composition

  10. Multivariate analysis (preliminary results on morphological IDs) • Similarity Matrices based on • Abundances per m3 • Bray-Curtis Coefficient

  11. MDS

  12. Permanova and SIMPER

  13. Modelling

  14. Methods and software used

  15. Results • Not much I can show at this stage • Calculate diversity indices for each sample with the combined morphological-molecular dataset • Assess abiotic factors (water masses, distance to shore, etc) shaping larval distribution • Coupling between larval and adult forms

  16. Challenges • Find a way of taking depth an depth uncertainty into ArcGIS • Usage of environmental data at time of collection, probably after some transformation(ANUSPLIN) • Find a way of taking depth into MaxEnt or use a different software • Maybe work analyzing each species first, using adults and larval records

  17. Boring? Suggestions?

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