Using web services and scientific workflow for species distribution prediction modeling

Authors:
Jianting Zhang;Deana D. Pennington;William K. Michener
Affiliations:
LTER Network Office, the University of New Mexico, MSC 03 2020, 1 University of New Mexico, Albuquerque, NM;LTER Network Office, the University of New Mexico, MSC 03 2020, 1 University of New Mexico, Albuquerque, NM;LTER Network Office, the University of New Mexico, MSC 03 2020, 1 University of New Mexico, Albuquerque, NM
Venue:
WAIM'05 Proceedings of the 6th international conference on Advances in Web-Age Information Management
Year:
2005

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Abstract

Species distribution prediction modeling plays a key role in biodiversity research. We propose to publish both species distribution data and modeling components as Web services and composite them into modeling systems using the scientific workflow approach. We build a prototype system using Kepler scientific workflow system and demonstrate the feasibility of the proposed approach. This study is the first step towards building a virtual e-science laboratory for ecologists to perform distributed and cooperative research on species distribution predictions.