Linaria: a set of information management tools to aid environmental decision making in Sierra Nevada (Spain) LTER site
Poster Number:
194
Presenter/Primary Author:
Francisco Bonet The main objective of the Observatory of Sierra Nevada (Spain) is to monitor the effects of global change in this protected mountainous LTER site. We are monitoring more than 100 environmental variables that are surrogates of ecosystem functions. A large amount of information is being created during the monitoring. This information must be maintained within an information system so that it can be useful both to managers and scientists. The basic idea that has inspired the design of this system is to enhance the creation of useful knowledge from raw data collected in the field. We have considered the need to implement adaptive management of natural resources in Sierra Nevada. We show results obtained when including the above concepts in designing and implementing the information system.
LINARIA is a modular information system that can satisfy the needs of different types of users from academics to environmental managers. Its conceptual framework is based on the idea of transforming information into knowledge by using the best available technology. LINARIA uses relational databases to store and analyze all the information input. The raw data are documented by using a metadata system that is compliant with several metadata specifications, such as EML, which is the specification for LTER sites and the ISO19115 standard. The core of LINARIA is a repository of models (called ModeleR) that is able to document and execute different kinds of models and analytical procedures. By using ModeleR, LINARIA can process very large amounts of data automatically. This system is especially useful to handle large amounts of data that are generated by meteorological stations, flux towers, or other instrumentally collected atmospheric data. All information processed is visualized on a web page by means of dynamic graphs built with HTML5 standards. LINARIA also contains tools to run OLAP analyses and create multidimensional cubes that are very useful to describe large datasets. The access to the LINARIA system is managed through Single-Sign-on (SSO) technology that allows centralized authentication.
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