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Systemic Spatial Decision Support Systems: An integrated, computer‐aided tool for biodiversity conservation

In the last decades, biodiversity is facing many threats related to the expansion and development of human populations. With the aim of mainstreaming conservation together with sustainable development, several conflicting necessities related to the economic, social, environmental and institutional o...

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Bibliographic Details
Published in:Plant biosystems 2012-12, Vol.146 (4), p.814-826
Main Authors: Guillet, A, Malatesta, L, Falcetta, M, Attorre, F
Format: Article
Language:English
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Summary:In the last decades, biodiversity is facing many threats related to the expansion and development of human populations. With the aim of mainstreaming conservation together with sustainable development, several conflicting necessities related to the economic, social, environmental and institutional objectives of the society have to be balanced within complex decision-making contexts. Conventional approaches hardly cope with these demands, and therefore conceptual models are required for understanding ecosystems form and functions and how human activities impact on them. International organisations committed to conservation and development initiatives have recognised the importance and effectiveness of an integrated, participative and adaptive approach to ecosystem management. In this perspective, computerised tools to facilitate an overall view and support informed and aware decisions are required. The Systemic Spatial Decision Support System, here presented, is a comprehensive tool for a holistic, multi-scale, spatially explicit and tailor-made approach to such complex decisional environments. The core methodology builds upon several years of experience in international conservation and development projects supported by the Italian Development Cooperation, and is complemented by an ad hoc, easily customisable software shell. Its characteristics provide an ideal framework for an effective administration of biodiversity conservation initiatives, as well as for training and consolidating expert knowledge.
ISSN:1724-5575
1126-3504
1724-5575
DOI:10.1080/11263504.2012.740087