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|Title:||eHabitat: A Contribution to the Model Web for Habitat Assessments and Ecological Forecasting|
|Authors:||DUBOIS Gregoire; SKOIEN JON; MENDES DE JESUS Jorge Samuel; PEEDELL Stephen; HARTLEY A.; NATIVI Stefano; SANTORO Mattia; GELLER Gary|
|Citation:||Proceedings of the 34th International Symposium on Remote Sensing of Environment p. 1-4|
|Publisher:||International Center for Remote Sensing of Environment (ICRSE)|
|Type:||Articles in periodicals and books|
|Abstract:||In striving to improve the predictive capabilities of ecological forecasting we face three basic choices ¿ develop new models, improve existing ones or increase the connectivity of models so they can work together. The latter approach of chaining different interoperable models is of particular interest, as technical developments have made it increasingly viable to combine models that can answer more questions than the individual models alone, allowing users to address complex questions, often of a multi-disciplinary nature. This concept of a Model Web encourages the setting up of a dynamic network of interoperating models, communicating with each other using standardized web services. It is the purpose of this paper to introduce the potential contribution of e-Habitat to the Model Web. e-Habitat is conceived as a Web Processing Service for computing the likelihood of finding ecosystems with equal properties. By developing e-Habitat according to Model Web principles, end-users can define the thematic layers for input to the model from various sources. These input layers are discovered using standards-based catalogues, which are a fundamental component of Model Web and generic Spatial Data Infrastructures. e-Habitat integrates data ranging from remote sensing data to socio-economical indicators, thus offering a huge potential for multi-disciplinary modelling. We will show that e-Habitat can be used for the identification of habitats that are most vulnerable or of the optimal locations for monitoring stations or, when coupled with climate change model services, for ecological forecasting. As such, it is an excellent example of the Model Web in practice.|
|JRC Institute:||Sustainable Resources|
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