ENM Components: a new set of web service-based workflow components for ecological niche modelling

Ecological niche modelling (ENM) Components are a set of reusable workflow components specialized for performing ENM tasks within the Taverna workflow management system. Each component encapsulates specific functionality and can be combined with other components to facilitate the creation of larger and more complex workflows. One key distinguishing feature of ENM Components is that most tasks are performed remotely by calling web services, simplifying software setup and maintenance on the client side and allowing more powerful computing resources to be exploited. This paper presents the current set of ENM Components in the context of the Taverna family of tools for creating, publishing and sharing workflows. An example is included showing how the components can be used in a preliminary investigation of the effects of mixing different spatial resolutions in ENM experiments.

[1]  Alan R. Williams,et al.  Mapping present and future potential distribution patterns for a meso-grazer guild in the Baltic Sea , 2014, Journal of biogeography.

[2]  Bertram Ludäscher,et al.  Kepler: an extensible system for design and execution of scientific workflows , 2004 .

[3]  Edward Baker,et al.  Scratchpads 2.0: a Virtual Research Environment supporting scholarly collaboration, communication and data publication in biodiversity science , 2011, ZooKeys.

[4]  Ian J. Taylor,et al.  Triana Applications within Grid Computing and Peer to Peer Environments , 2003, Journal of Grid Computing.

[5]  Neil Caithness,et al.  Biodiversity World: a problem-solving environment for analysing biodiversity patterns , 2006, Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06).

[6]  A. Townsend Peterson,et al.  The influence of spatial errors in species occurrence data used in distribution models , 2007 .

[7]  J. L. Parra,et al.  Very high resolution interpolated climate surfaces for global land areas , 2005 .

[8]  Robert P. Anderson,et al.  Maximum entropy modeling of species geographic distributions , 2006 .

[9]  Kenton O'Hara,et al.  Scientists and software – surveying the species distribution modelling community , 2015 .

[10]  Bertram Ludäscher,et al.  Kepler: an extensible system for design and execution of scientific workflows , 2004, Proceedings. 16th International Conference on Scientific and Statistical Database Management, 2004..

[11]  Daniel J. Blankenberg,et al.  Galaxy: a platform for interactive large-scale genome analysis. , 2005, Genome research.

[12]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[13]  Alberto Jiménez-Valverde,et al.  The uncertain nature of absences and their importance in species distribution modelling , 2010 .

[14]  A. Townsend Peterson,et al.  Novel methods improve prediction of species' distributions from occurrence data , 2006 .

[15]  A. Townsend Peterson,et al.  Ecological Niche Modeling Using the Kepler Workflow System , 2007, Workflows for e-Science, Scientific Workflows for Grids.

[16]  Robert P. Anderson,et al.  Ecological Niches and Geographic Distributions , 2011 .

[17]  J. Elith,et al.  Sensitivity of predictive species distribution models to change in grain size , 2007 .

[18]  Peter Brewer,et al.  openModeller: a generic approach to species’ potential distribution modelling , 2011, GeoInformatica.

[19]  Brian E. Granger,et al.  IPython: A System for Interactive Scientific Computing , 2007, Computing in Science & Engineering.

[20]  A. Peterson,et al.  INTERPRETATION OF MODELS OF FUNDAMENTAL ECOLOGICAL NICHES AND SPECIES' DISTRIBUTIONAL AREAS , 2005 .

[21]  Bendik Bygstad,et al.  The Generative Mechanisms of Digital Infrastructure Evolution , 2013, MIS Q..

[22]  Carole A. Goble,et al.  The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud , 2013, Nucleic Acids Res..

[23]  Carole A. Goble,et al.  On specifying and sharing scientific workflow optimization results using research objects , 2013, WORKS@SC.

[24]  David Koop,et al.  VisTrails SAHM: visualization and workflow management for species habitat modeling , 2013 .