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dc.creatorBurry, Lidia Susana
dc.creatorMarconetto, María Bernarda
dc.creatorSomoza, Mariano
dc.creatorPalacio, Patricia Irene
dc.creatorTrivi, Matilde Elena
dc.creatorD´Antoni, Héctor
dc.date2018-04
dc.date.accessioned2021-04-06T18:18:52Z
dc.date.available2021-04-06T18:18:52Z
dc.identifierBurry, Lidia Susana; Marconetto, María Bernarda; Somoza, Mariano; Palacio, Patricia Irene; Trivi, Matilde Elena; et al.; Ecosystem modeling using artificial neural networks: An archaeological tool; Elsevier Ltd; Journal of Archaeological Science: Reports; 18; 4-2018; 739-746
dc.identifier2352-409X
dc.identifierhttp://hdl.handle.net/11336/63298
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttp://suquia.ffyh.unc.edu.ar/handle/11336/63298
dc.descriptionPrediction of past Normalized Difference Vegetation Index (paleo-NDVI) in Valle de Ambato (Catamarca, Argentina) in the periods of 550–650 and 1550–1650 CE was carried out to test the efficacy of Artificial Neural Network (ANN) to predict past environments for Archaeology. This work shows that both subtropical Yunga and xerophytic Chaqueña vegetations respond in contrasting fashion to changes in climate forcings. To predict the past an ANN perceptron multilayer model was used. Modern NDVI data and Tree-Ring data were obtained from NOAA-Paleoclimate, and other public sources. These data were used to train the model. Real data and predictions were close (Pearson correlation 0.83–0.90) and warranted the following step, hindcasting. Important paleo-NDVI fluctuations lasting 15 to 20 years were identified in both periods under study. The paleo-NDVI fluctuations in the earlier period were probably related to the unidentified eruption of 583. The fluctuations in the later period appear related to the eruption of 1600 of the Huaynaputina volcano (SW Peru). These findings suggest that the model accurately identified vegetation fluctuations in response to changes in the volcanic forcing. Hence, the ANNs may be considered as apt tools for modeling past environments in support of archaeology.
dc.descriptionFil: Burry, Lidia Susana. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Departamento de Biología. Laboratorio de Palinología y Bioantropología; Argentina
dc.descriptionFil: Marconetto, María Bernarda. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Antropología de Córdoba. Universidad Nacional de Córdoba. Facultad de Filosofía y Humanidades. Instituto de Antropología de Córdoba; Argentina
dc.descriptionFil: Somoza, Mariano. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Departamento de Biología. Laboratorio de Palinología y Bioantropología; Argentina
dc.descriptionFil: Palacio, Patricia Irene. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Departamento de Biología. Laboratorio de Palinología y Bioantropología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.descriptionFil: Trivi, Matilde Elena. Universidad Atlantida Argentina. Facultad de Psicologia; Argentina
dc.descriptionFil: D´Antoni, Héctor. NASA Ames Research Center; Estados Unidos
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherElsevier Ltd
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2352409X16308112
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.jasrep.2017.07.013
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subjectARGENTINA
dc.subjectARTIFICIAL NEURAL NETWORK
dc.subjectECOSYSTEM MODELING
dc.subjectHINDCASTING
dc.subjectPALEO-NDVI
dc.subjectMeteorología y Ciencias Atmosféricas
dc.subjectCiencias de la Tierra y relacionadas con el Medio Ambiente
dc.subjectCIENCIAS NATURALES Y EXACTAS
dc.subjectHistoria
dc.subjectHistoria y Arqueología
dc.subjectHUMANIDADES
dc.subjectOtras Sociología
dc.subjectSociología
dc.subjectCIENCIAS SOCIALES
dc.titleEcosystem modeling using artificial neural networks: An archaeological tool
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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