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| Titel |
An application of mathematical models to select the optimal alternative for an integral plan to desertification and erosion control (Chaco Area – Salta Province – Argentina) |
| VerfasserIn |
J. B. Grau, J. M. Antón, A. M. Tarquis, F. Colombo, L. los Ríos, J. M. Cisneros |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1726-4170
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| Digitales Dokument |
URL |
| Erschienen |
In: Biogeosciences ; 7, no. 11 ; Nr. 7, no. 11 (2010-11-05), S.3421-3433 |
| Datensatznummer |
250005048
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| Publikation (Nr.) |
 copernicus.org/bg-7-3421-2010.pdf |
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| Zusammenfassung |
| Multi-criteria Decision Analysis (MCDA) is concerned with
identifying the values, uncertainties and other issues relevant in a given
decision, its rationality, and the resulting optimal decision. These
decisions are difficult because the complexity of the system or because of
determining the optimal situation or behaviour. This work will illustrate
how MCDA is applied in practice to a complex problem to resolve such us soil
erosion and degradation. Desertification is a global problem and recently it
has been studied in several forums as ONU that literally says:
"Desertification has a very high incidence in the environmental and food
security, socioeconomic stability and world sustained development".
Desertification is the soil quality loss and one of FAO's most important
preoccupations as hunger in the world is increasing. Multiple factors are
involved of diverse nature related to: natural phenomena (water and wind
erosion), human activities linked to soil and water management, and others
not related to the former. In the whole world this problem exists, but its
effects and solutions are different. It is necessary to take into account
economical, environmental, cultural and sociological criteria. A
multi-criteria model to select among different alternatives to prepare an
integral plan to ameliorate or/and solve this problem in each area has been
elaborated taking in account eight criteria and five alternatives. Six sub
zones have been established following previous studies and in each one the
initial matrix and weights have been defined to apply on different criteria.
Three multicriteria decision methods have been used for the different sub
zones: ELECTRE, PROMETHEE and AHP. The results show a high level of
consistency among the three different multicriteria methods despite the
complexity of the system studied. The methods are fully described for La
Estrella sub zone, indicating election of weights, Initial Matrixes,
algorithms used for PROMETHEE, and the Graph of Expert Choice showing the
AHP results. A brief schema of the actions recommended for each of the six
different sub zones is discussed. |
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