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Butterfly1At the EGI Forum meeting, May 19-23, in Helsinki, Finland, Yuliya Fetyukova presented a study led by our partners at the University of Eastern Finland : "Large scale modelling of the distribution of butterfly biodiversity in Europe using the BioVeL portal on the EGI infrastructure"

Species distribution modelling allows determining variation among species and their shifts over time as responses to climate and environmental changes. Butterflies are good and viable biological indicators. They react quickly to changes.

In this study, we modelled 344 butterfly species. For each species, we identified biodiversity centers of mass for historical and current projections as well as analyzed their shifts over time. Historical species distribution modelling is urgently needed in order to estimate future climatic changes on species. This study analyzed the distribution of 344 European butterfly species associated with climatic change. The objective of our project was to find how many species have expanded their distribution from 1960-1990 to 1991-2013 and how many have contracted.

This involved modelling historical and current species distribution as well as computation of habitat suitability shifts. The modelling was based on the combination of occurrence data, locations where the species have been identified as being present, with ecological and environmental variables, such as temperature, precipitation, and vegetation. Butterfly biodiversity observations came from GBIF Data Portal. The environmental layers came from the WorldClim repository. The Maxent algorithm was applied and the BioVeL workflows for ecological niche modelling were used. In order to automatize modelling and analysis of large amount of species, BioVeL sweep data functionality for batch processing was used. EGI deployment of BioVeL ecological niche modelling related services allows parallelized computation and hence scalable workflow execution. Batch processing of large amount of species was performed by BioVeL portal sweep data functionality. BioVeL ecological niche modelling related services via the BioVeL portal, particularly, Ecological niche modelling workflow, ESW DIFF - ENM Statistical Workflow with raster difference computation, the BioVeL sweep function for data batch processing.

References : Ecological niche modelling of the European forest pest insects and their host trees under various climate change scenarios, Päivi Lyytikäinen-Saarenmaa, Hannu Saarenmaa, Yuliya Fetyukova, Renato De Giovanni, Allan Williams, Robert Kulawik, Vera Hernandez-Ernst, Matthias Obst, Mart-Jan Schelhaas, article in professional conference proceedings






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.