Abstract
Decision-makers who wish to manage Insular Tropical Environments more efficiently need to narrow the gap between the production of scientific knowledge in universities, or other labs, and its pragmatic use by the general public and administrations. Today, one of the main challenges concerning the environment is the preservation of the biodiversity of ecosystems that suffer from urban and agricultural pressure. As we can only protect what we know, it is all the more important to share expert knowledge about habitats and species by using Internet in order to educate the public about their wealth and beauty. Based on Reunion Island, and taking into consideration an expected population growth of over 30% in the next twenty years, we are working to predict the human impact on this closed territory. To help tackle these two questions about biodiversity and land consumption, we have designed an Information System (IS) in the framework of the ETIC program. Our aim is to enhance insular tropical environment research in order to help the Reunion National Park to manage its protected territory. On the one hand, biodiversity research is handled statically, using knowledge bases and databases, to enhance Systematics and ecological university research. On the other hand, spatial planning concerns are treated dynamically, using multi-agent systems to simulate population densification movements. These software technologies have been implemented and integrated through a common architectural system in the ETIC program. They were conceived using Web Services that allow each module to communicate its functionalities and information with one another, as well as with external systems.
Keywords
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Conruyt, N., Sébastien, D., Courdier, R., David, D., Sébastien, N., Ralambondrainy, T. (2009). Designing an Information System for the Preservation of the Insular Tropical Environment of Reunion Island. In: Cortés, U., Poch, M. (eds) Advanced Agent-Based Environmental Management Systems. Whitestein Series in Software Agent Technologies and Autonomic Computing. Birkhäuser Basel. https://doi.org/10.1007/978-3-7643-8900-0_4
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