1 / 8

Cte.cri, Sab.seb. Oph.bid

Bar ents Sea Ec osystem Re silience under global environmental change Data workshop Tromsø March 2011. Spatial structure of bottom communities in the Barents Sea integrating information from fish, benthos and the environment. Sab.sep, Oph.bid, Gor.arc. Gad.mor, Hip.pla, Tri.mur.

paloma
Download Presentation

Cte.cri, Sab.seb. Oph.bid

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. Barents Sea Ecosystem Resilience under global environmental changeData workshop Tromsø March 2011

  2. Spatial structure of bottom communities in the Barents Sea integrating information from fish, benthos and the environment Sab.sep, Oph.bid, Gor.arc Gad.mor, Hip.pla, Tri.mur Cte.cri, Gor.spp, Scl.fer Gor.arc, Oph.bor, Umbel. Rei.hip, Lip.fab Cte.cri, Sab.seb. Oph.bid Hip.pla, Gad.mor, Rei.hip Lip.fab Cte.cri, Mol.bor, Bat.gla Hip.pla, Gad.mor, Mel.aeg Pon.ten, Lep.arc, Geo.spp Sab.sep, Chi.opi Cte.cri Hyas.spp, Sab.sep Actin, Porif. Mel.aeg Par.cam

  3. What does the result show (artefact or biology)? • Do we have to much or to little information? • Methods that compare? • Do we enter new methodological arenas? • Would it be possible to test explanation factors?

  4. Multivariate analyses will include: • Elimination of species from fish and benthos dataset that do not contribute to results of multivariate analysis (using Greenacre’s method) for both abundance (A) and biomass data (B) • Procrustes analysis relating CCA models results for fish and benthos (A and B) • Multivariate analysis of benthos-fish relationships using terBraak's co-correspondence analysis (a special case of co-inertia analysis, looks at the relationship between two sets of abundance or biomass data) (terBraak and Schaffers 2004).

  5. 8. Cooperation Agreement between IMR and PINRO All exchanged data can be used for any purpose by researchers affiliated with the two institutions. They can be used by researchers from third party institutions only with written permission from both IMR and PINRO. In such cases IMR and PINRO may charge a fee for the work related to the preparation of the data for use by third party institutions and/or make demands on co-authorship of publications etc.

More Related