Boundary delineation update Carrie Kappel, Bernardo Broitman and Becca Martone January 27, 2007

Questions What constitute areas of biophysical similarity within coastal marine environments of central California? How does data availability, resolution and type affect these patterns of biophysical similarity? What are the implications for the delineation of ecosystem boundaries for management (ultimately a political process)?

Steps in analysis Identify data layers for inclusion. Static snapshot layers Time series covering the same area Convert layers to raster (grid) format so that multivariate statistics can be calculated on them. EOF of time series to identify major modes PCA to reduce number of variables (combining static snapshots and results of EOF) Cluster analysis to identify areas of similarity

Progress to date Data layers acquired: SST (time series) Bathymetry Rugosity Geomorphological habitat type Kelp canopy cover Fish diversity and abundance (trawl surveys) Seabird diversity and abundance Sea otter abundance Pinniped abundance

Insert some GIS images here?

Progress to date Data layers still needed: Chl a (SeaWIFS time series) from Dave Siegel Zooplankton?? No CalCOFI surveys in this region in 2000-2005

Progress to date Pre-processing of data layers & analysis All static snapshot data layers have been rasterized and clipped to same spatial extent 9 km grid (~5’) EOF of SST begun Results…

Insert EOF result here

To do during this meeting Bring results of EOF into ArcGIS Run PCA on all data layers Run cluster analysis Examine how changing which data layers are included influences results Examine how results compare to other biogeographic and biophysical studies of the area (e.g. PISCO, N/Cen CA biogeographic assessment, etc.)

Insert picture from PISCO intertidal community sampling – biogeographic patterns Insert graphic(s) from biogeographic assessment

To do after this meeting Add other data (e.g. Chl a SeaWIFS data) Run EOF on SeaWIFS data Try analysis at a different spatial scale (up or down sample the grids)? Run similar analysis for human activities within the region?