Abstract
DESERTICAS is a cellular automata software specially designed for modelling and simulating the evolution of land degradation over time and space. It is based on coupling a continuous cellular automaton with the MEDALUS method that has been applied to assess the desertification phenomena on Mediterranean areas. Additionally, the built model will incorporate land use practices, exploitability and ownership factors. From an arbitrary initial configuration, DESERTICAS can predict the space-time evolution of land degradation towards the most advanced stage. The fully parameterized software will be applied to real data that are being processed for model validation.
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Koné, A., Fontaine, A., El Yacoubi, S.: Coupling cellular automata with medalus assessment for the desertification issue. In: The International Conference on Emerging Trends in Engineering & Technology (IConETech) (2020)
Chopard, B., Droz, M.: Cellular Automata Modeling of Physical Systems. Collection Ale’a-Saclay: Monographs and Texts in Statistical Physics, Cambridge (1998)
Cissé, B., El Yacoubi, S., Gourbière, S.: The spatial reproduction number in a cellular automaton model for vector-borne diseases applied to the transmission of chagas disease. Simulation 92(02), 141–152 (2016)
Kosmas, C., Tsara, M., Moustakas, N., Karavitis, C.: Identification of indicators for desertification. Ann. Arid Zone 42, 393–416 (2003)
Lahlaoi, H., Rhinane, H., Hilali, A., Lahssini, S., Moukrim, S.: Desertification assessment using medalus model in watershed oued el maleh, morocco. Geosciences 7, 2–16 (2017)
D’Herbès, J.M., Fezzani, C.: Indicateurs écologiques roselt/oss: Une première approche méthodologique pour la surveillance de la biodiversité et des changements environnementaux. Collection ROSELT/OSS (2004)
Freire, J., Dacamara, C.: Using cellular automata to simulate wildfire propagation and to assist in fire prevention and fighting. Nat. Hazards Earth Syst. Sci. Discuss. 19, 169–179 (2018)
Hill, J.: Land and soil degradation assessments in Mediterranean Europe. GMES-Project LADAMER (2003)
Von Neumann, J.: Theory of self-reproducing automata. In: Burks, A. (ed.) University of Illinois Press (1966)
Benslimane, M., Hamimed, A., Wael, E.Z., Abdelkader, K., Mederbal, K.: Analyse et suivi du phénomène de la désertification en algérie du nord. VertigO (2009)
Loireau M., et al.: Guide for the evaluation and monitoring of natural resource exploitation practices roselt/oss programme. ROSELT/OSS Collection (2005)
Loireau M., et al.: Local environmental information system to assess the risk of desertification: circumsaharan compared situations (roselt network). Science and planetary change/Drought (2007)
Rasmy, M., Gad, A., Abdelsalam, H., Siwailam, M.: A dynamic simulation model of desertification in Egypt. Egypt. J. Remote Sens. Space Sci. 13, 101–111 (2010)
Nachtergaele, O.F., Licona-Manzur, C.: The land degradation assessment in drylands (LADA) project: reflections on indicators for land degradation assessment. In: Lee, C., Schaaf, T. (eds.) The Future of Drylands. Springer, Dordrecht (2008). https://doi.org/10.1007/978-1-4020-6970-3_33
Dódorico, P., Bhattachan, A., Davis, K.F., Ravi, S., Runyan, C.W.: Global desertification: drivers and feedbacks. Adv. Water Resour. 51, 326–344 (2013)
Shoba, P., Ramakrishnan, S.S.: Modeling the contributing factors of desertification and evaluating their relationships to the soil degradation process through geomatic techniques. Solid Earth 7, 341–354 (2013)
Slimi, R., El Yacoubi, S.: Spreadable cellular automata: modelling and simulations. Int. J. Syst. Sci. 05, 507–520 (2009)
El Yacoubi, S., El Jai, A.: Cellular automata modelling and spreadability. Math. Comput. Modell. 36, 1059–1074 (2002)
Wolfram, S.: Cellular Automata and Complexity. Addison-Wesley, Company, Science Mathematics Computing (1994)
secrétariat de la Convention des Nations unies sur la lutte contre la désertification (CNULD). Désertification: une synthèse visuelle. Centre international UNISFERA, July 2011
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Koné, A., Fontaine, A., Loireau, M., Jangorzo, S.N., El Yacoubi, S. (2021). DESERTICAS, a Software to Simulate Desertification Based on MEDALUS and Cellular Automata. In: Gwizdałła, T.M., Manzoni, L., Sirakoulis, G.C., Bandini, S., Podlaski, K. (eds) Cellular Automata. ACRI 2020. Lecture Notes in Computer Science(), vol 12599. Springer, Cham. https://doi.org/10.1007/978-3-030-69480-7_20
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