ENM Statistical Difference (ESW Diff) and Statistical Stack (ESW Stack) Workflows

The ENM Statistical Difference (ESW Diff) and Statistical Stack (ESW Stack) workflows are used for post-processing of the outputs from the ENM workflow (described earlier). ESW Diff allows computation of the extent and intensity of change in species potential distribution between two different projections of the ecological niche model e.g., present day and at a point in the future. ESW Stack allows computation of the extent, intensity, and cumulative potential species distribution for multiple ecological niche models e.g., for several related species.

Who is it for?

Users of the ENM workflow.

What is it for?

Raster layer comparison, computation of the extent and intensity of change in species' potential distributions between two scenarios or
model projections (ESW Diff), or aggregation of multiple projections (ESW Stack).

How does it work?

ESW Diff computes the extent and intensity of change in species potential distribution through computation of the differences between
two raster layers. ESW Stack computes the extent, intensity, and a cumulated potential species distribution by computing the average sum layer from a set of given input raster layers.

Expected results

Difference maps, stack maps (average sum layer from multiple raster layers).

Link to workflow and user documentation

ESW Diff workflow on myExperiment

ESW Diff documentation

ESW Stack workflow on myExperiment

ESW Stack documentation


Leidenberger S., De Giovanni R., Kulawik R., Williams A., Bourlat S.J. (2014) Mapping present and future predicted distribution patterns
for a meso-grazer guild in the Baltic Sea. Journal of Biogeography. DOI: 10.1111/jbi.12395. http://onlinelibrary.wiley.com/doi/10.1111/jbi.12395/abstract

Example of uses

A research group at the Center for Marine Evolutionary Biology (CEMEB), University of Gothenburg, used BioVeL workflows to study present and future distribution patterns of endemic Baltic Sea species that may be threatened by climate change. The study uses ecological niche modelling techniques, including the ESW Diff and ESW Stack workflows to study potential distribution for a food Web consisting of a guild of meso-grazers (Idotea spp.), their host algae (Fucus vesiculosus and Fucus radicans) and their fish predator (Gasterosteus aculeatus). The study shows that a north-eastern shift of I. balthica and I. chelipes into the distribution area of the endemic alga F. radicans in the Baltic Sea may result in increased grazing pressure and extinction risk for the species.





19 February 2015

At the final review of the project by the EC, one of the reviewers said: “Incredible work done with a community that is not unified. Remarkable work. It opens for new development in a near future. Hope for success. Good project. Happy that you have been financed three plus years ago.”

Read all about the project and its results in the Project Final Report or read the Executive Summary only.