Download Data: Report to CCAMLR

Methods Summary

We used a machine learning, “maximum entropy” modeling method called Maxent, and its logistic output format (v.3.3.1; Phillips et al 2006, Phillips & Dudík 2008), to estimate environmental suitability in each grid cell within the study area given the modeled relationship between a given species and environmental covariates. We calculated an index of species richness equal to the summed pixel-level projected suitability (from the Maxent models) across all species.

We identified areas of conservation importance using the environmental suitability models for all species within a conservation prioritization framework (Zonation; Moilanen et al. 2005) using the core area analysis. All species were given equal conservation priority and all cells were assumed to have equal potential conservation costs.

Available for download below are ascii format grids of the environmental variables used in the models and of the Maxent models representing environmental suitability for each species. Each grid has an associated xml metadata file containing more information about the specific grid as well as projection information.

 

Environmental Data

Name DefinitionGrid (ascii)
Bathymetry Depth in meters Download
Prevalence of Circumpolar Deep Water Temperature and salinity defined water mass Download
Chlorophyll Mg x m3 averaged over 10 years (Nov–Jan; 1997 - 2006) Download
Distance to Shelfbreak Front Euclidean distance (m) to the 800-m isobath Download
Summer Sea Ice Mean percent cover (Dec-Jan; 1998 - 2008) Download
Bathymetric Gradient The angle of maximum change between cells in bathymetry grid (degrees) Download
Species Locations Coordinates for species presence locations used in the models Download (csv)

 

 

Species Distribution Models

NameImage (jpg)Grid (ascii)
Light-mantled Sooty Albatross Download Download
Killer Whale (Type C) Download Download
Antarctic Petrel Download Download
Adelie Penguin Download Download
Emperor Penguin Download Download
Snow Petrel Download Download
Crabeater Seal Download Download
Weddell Seal Download Download
Minke Whale Download Download
Species Richness Index Download Download
Zonation Conservation Ranking Download Download


 

Acknowledgments

Funding provided by the Lenfest Ocean Program and the National Science Foundation (grants OPP-0440643 and ANT-0944411).

Environmental variables where manipulated and image layers created within ArcGIS 9.3 (ESRI 2009) which was made available through a grant from the ESRI Conservation Program.

 

Citations

Information on modeling methodology can be found in:

Ballard, G., Jongsomjit, D., and Ainley D.G.. 2010. Ross Sea Bioregionalization, Part II: Patterns of Co-occurrence of mesopredators in an intact polar ocean ecosystem. Report to the Working Group on Ecosystem Monitoring and Management of the Commission for the Conservation of Antarctic Marine Living Resources.

More information on model data sources can be found in:

Ainley, D.G., Ballard G., and Weller J. 2010. Ross Sea Biodiversity. Part I: Validation of the 2007 CCAMLR Bioregionalisation Workshop Reuslts Towards Including the Ross Sea in a Representative Network of Marine Protected Areas in the Southern Ocean. Report to the Working Group on Ecosytem Monitoring and Management of the Commission for the Conservation of Antarctic Marine Living Resources.

Other relevant citations:

ASOC 2010. The case for inclusion of the Ross Sea Continental Shelf and Slope in a Southern Ocean network of marine reserves. ATCM 13 IP077.

Moilanen, A., A.M.A. Franco, R. Early, R. Fox, B. Wintle & C.D. Thomas. 2005. Prioritising multiple-use landscapes for conservation: methods for large multi-species planning problems. Proc. Royal Soc. London, Series B, Biol. Sci. 272: 1885-1891.

Phillips, S.J., R.P. Anderson & R.E. Schapire. 2006. Maximum entropy modeling of species geographic distributions. Ecol. Appl. 190: 231–259.

Phillips, S.J. & M. Dudík. 2008. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31 (April): 161-175.