%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture non répertoriées par l'AERES
%A Fetoui, M.
%A Sghaier, M.
%A Loireau, Maud
%A Chouikhi, F.
%T Vulnerability of natural resources in Tunisian arid zones facing climate change and human pressure : toward better target actions to combat desertification
%D 2015
%L fdi:010071790
%G ENG
%J Journal of Earth Science and Climatic Change
%@ 2157-7617
%K DESERTIFICATION ; SURFACE DU SOL ; TELEDETECTION SPATIALE ; CLIMAT ; PRESSION DEMOGRAPHIQUE ; OBSERVATOIRE ; SYSTEME D'INFORMATION GEOGRAPHIQUE ; AIDE A LA DECISION ; LUTTE ANTIEROSIVE
%K CHANGEMENT CLIMATIQUE ; GESTION DU RISQUE
%K TUNISIE ; ZONE ARIDE ; MEDENINE
%N 2
%P art. no 1000260 [6  en ligne]
%R 10.4172/2157-7617.1000260
%U https://www.documentation.ird.fr/hor/fdi:010071790
%> https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers18-02/010071790.pdf
%V 6
%W Horizon (IRD)
%X The main challenges of Tunisian arid areas is better understand desertification and better adapt decisions to uncertainties that arise in complex interactions between the socio-economic and biophysical dynamics at different spatial and temporal scales. This understanding is increasingly necessary to better target actions and improve coping strategies. The objective of this work is to assess the vulnerability of natural resources and the risk of desertification at the local scale, in a case study (Oum Zessar watershed) located in the south-east of Tunisia. The assessment is carried out through an analysis of different human and biophysical causes and driving forces, such as natural resources uses and climate change. It is based on geographical (landscape), integrated (socio-economy, biophysics) and multi-actors (research-decision) approaches, associated with reproducible methods and models to assess the risk of desertification, and to better target future combating actions. The work led to the development of desertification risk indexes (based on spatial integration of biophysical and socio-economic functioning through modeling), facing several scenarios of climate change and human pressure. It shows that the same level of risk in one place or another may have differentiated causes, which could help public policy in their fighting against desertification.
%$ 126TELAPP10 ; 082VEGET01