Linking Spatialized Indicators of Desertification Risks with Observed Land Use/Land Cover Change

Laques Ae (), Mondher Fetoui, Maud Loireau (), B Essifi, Farah Chouikhi, M Tarhouni, Mongi Sghaier, Anne-Elisabeth Laques () and Pierre Dérioz ()
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Mondher Fetoui: Laboratoire Economie et Sociologie Rurales, LESOR - IRA - Institut des Régions Arides
Maud Loireau: UMR 228 Espace-Dev, Espace pour le développement - IRD - Institut de Recherche pour le Développement - UPVD - Université de Perpignan Via Domitia - AU - Avignon Université - UR - Université de La Réunion - UM - Université de Montpellier - UG - Université de Guyane - UA - Université des Antilles
Farah Chouikhi: Laboratoire Economie et Sociologie Rurales, LESOR - IRA - Institut des Régions Arides, IRA - Institut des Régions Arides, Medenine, Tunisia
M Tarhouni: IRA - Institut des Régions Arides
Mongi Sghaier: Laboratoire Economie et Sociologie Rurales, LESOR - IRA - Institut des Régions Arides, IRA - Institut des Régions Arides
Anne-Elisabeth Laques: UMR 228 Espace-Dev, Espace pour le développement - IRD - Institut de Recherche pour le Développement - UPVD - Université de Perpignan Via Domitia - AU - Avignon Université - UR - Université de La Réunion - UM - Université de Montpellier - UG - Université de Guyane - UA - Université des Antilles, IRD - Institut de Recherche pour le Développement
Pierre Dérioz: UMR 228 Espace-Dev, Espace pour le développement - IRD - Institut de Recherche pour le Développement - UPVD - Université de Perpignan Via Domitia - AU - Avignon Université - UR - Université de La Réunion - UM - Université de Montpellier - UG - Université de Guyane - UA - Université des Antilles, Université d'Avignon

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Abstract: The need of useful information for decision-makers to fight against desertification in Tunisian dry zones leads to conceive assessing and monitoring systems that can supply synthetic indicators. These latter should integrate socioeconomic and environmental dimensions with their spatial and temporal diversity at the local scale. This paper proposes an example of information system entitled SIELO (information system for operational desertification monitoring at the local scale). This system attempts to create the link between i) spatialized indicators of desertification risks, built in connection with the systematic complexity of desertification and ii) observed Land Use/ Land Cover (LU/LC) Change. The first type of data arises from pre-existing environmental model: LEIS model (Local Environmental Information System). The second type of data is extracted from satellite images acquired according to regular time steps. The proposed approach is based also on the spatializing of knowledge, via the ‘‘landscape'' tool in particular. We illustrate the feasibility and the operational effectiveness of a developed software prototype (SIELO v1.0) with an initial application in a Tunisian dry zone. This system showed that it has the capacity to feed an operational monitoring of desertification according to the state of LU/LC directly observed or measured in several dates. Then, it can be useful for the decision-makers in their programs of fighting against desertification, but also to manage uncertainties in southeastern Tunisia, especially climate variability and climate change.

Keywords: Desertification risks Land use/Land cover change Operational monitoring system Decision support Tunisian arid zones; Desertification risks; Land use/Land cover change; Operational monitoring system; Decision support; Tunisian arid zones (search for similar items in EconPapers)
Date: 2015
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Published in Journal of Earth Science & Climatic Change, 2015, 06 (01), ⟨10.4172/2157-7617.1000252⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04383570

DOI: 10.4172/2157-7617.1000252

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