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SAT: A Software for Assessing the Risk of Desertification in Spain.

Authors :
Martínez-Valderrama, Jaime
Ibáñez, Javier
Alcalá, Francisco J.
Martínez, Silvio
Source :
Scientific Programming; 6/29/2020, p1-12, 12p, 2 Color Photographs, 4 Diagrams, 2 Charts, 2 Graphs, 1 Map
Publication Year :
2020

Abstract

Desertification is a major global environmental issue exacerbated by climate change. Strategies to combat desertification include prevention which seeks to reverse the process before the system reaches the stable desertified state. One of these initiatives is to implement early warning tools. This paper presents SAT (the Spanish acronym for Early Warning System), a decision support system (DSS), for assessing the risk of desertification in Spain, where 20% of the land has already been desertified and 1% is in active degradation. SAT relies on three versions of a Generic Desertification Model (GDM) that integrates economics and ecology under the predator-prey paradigm. The models have been programmed using Vensim, a type of software used to build and simulate System Dynamics (SD) models. Through Visual Basic programming, these models are operated from the Excel environment. In addition to the basic simulation exercises, specially designed tools have been coupled to assess the risk of desertification and determine the ranking of the most influential factors of the process. The users targeted by SAT are government land-use planners as well as desertification experts. SAT tool is implemented for five case studies, each one of them representing a desertification syndrome identified in Spain. Given the general nature of the tool and the fact that all United Nations Convention to Combat Desertification (UNCCD) signatory countries are committed to developing their National Plans to Combat Desertification (NPCD), SAT could be exported to regions threatened by desertification and expanded to cover more case studies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10589244
Database :
Complementary Index
Journal :
Scientific Programming
Publication Type :
Academic Journal
Accession number :
144303693
Full Text :
https://doi.org/10.1155/2020/7563928