Ecosystem modeling using artificial neural networks: An archaeological tool

Prediction 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...

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Autores principales:	Burry, Lidia Susana, Marconetto, María Bernarda, Somoza, Mariano, Palacio, Patricia Irene, Trivi, Matilde Elena, D´Antoni, Héctor
Formato:	Artículo publishedVersion
Lenguaje:	Inglés
Publicado:	Elsevier Ltd 2018
Materias:	ARGENTINA ARTIFICIAL NEURAL NETWORK ECOSYSTEM MODELING HINDCASTING PALEO-NDVI Meteorología y Ciencias Atmosféricas Ciencias de la Tierra y relacionadas con el Medio Ambiente CIENCIAS NATURALES Y EXACTAS Historia Historia y Arqueología HUMANIDADES Otras Sociología Sociología CIENCIAS SOCIALES
Acceso en línea:	http://hdl.handle.net/11336/63298 http://suquia.ffyh.unc.edu.ar/handle/11336/63298
Aporte de:	Suquía - Instituto de Antropología de Córdoba (IDACOR, CONICET y UNC) de Universidad Nacional de Córdoba

id	I10-R181-11336-63298
record_format	dspace
institution	Universidad Nacional de Córdoba
institution_str	I-10
repository_str	R-181
collection	Suquía - Instituto de Antropología de Córdoba (IDACOR, CONICET y UNC)
language	Inglés
topic	ARGENTINA ARTIFICIAL NEURAL NETWORK ECOSYSTEM MODELING HINDCASTING PALEO-NDVI Meteorología y Ciencias Atmosféricas Ciencias de la Tierra y relacionadas con el Medio Ambiente CIENCIAS NATURALES Y EXACTAS Historia Historia y Arqueología HUMANIDADES Otras Sociología Sociología CIENCIAS SOCIALES
spellingShingle	ARGENTINA ARTIFICIAL NEURAL NETWORK ECOSYSTEM MODELING HINDCASTING PALEO-NDVI Meteorología y Ciencias Atmosféricas Ciencias de la Tierra y relacionadas con el Medio Ambiente CIENCIAS NATURALES Y EXACTAS Historia Historia y Arqueología HUMANIDADES Otras Sociología Sociología CIENCIAS SOCIALES Burry, Lidia Susana Marconetto, María Bernarda Somoza, Mariano Palacio, Patricia Irene Trivi, Matilde Elena D´Antoni, Héctor Ecosystem modeling using artificial neural networks: An archaeological tool
topic_facet	ARGENTINA ARTIFICIAL NEURAL NETWORK ECOSYSTEM MODELING HINDCASTING PALEO-NDVI Meteorología y Ciencias Atmosféricas Ciencias de la Tierra y relacionadas con el Medio Ambiente CIENCIAS NATURALES Y EXACTAS Historia Historia y Arqueología HUMANIDADES Otras Sociología Sociología CIENCIAS SOCIALES
description	Prediction 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.
format	Artículo Artículo publishedVersion
author	Burry, Lidia Susana Marconetto, María Bernarda Somoza, Mariano Palacio, Patricia Irene Trivi, Matilde Elena D´Antoni, Héctor
author_facet	Burry, Lidia Susana Marconetto, María Bernarda Somoza, Mariano Palacio, Patricia Irene Trivi, Matilde Elena D´Antoni, Héctor
author_sort	Burry, Lidia Susana
title	Ecosystem modeling using artificial neural networks: An archaeological tool
title_short	Ecosystem modeling using artificial neural networks: An archaeological tool
title_full	Ecosystem modeling using artificial neural networks: An archaeological tool
title_fullStr	Ecosystem modeling using artificial neural networks: An archaeological tool
title_full_unstemmed	Ecosystem modeling using artificial neural networks: An archaeological tool
title_sort	ecosystem modeling using artificial neural networks: an archaeological tool
publisher	Elsevier Ltd
publishDate	2018
url	http://hdl.handle.net/11336/63298 http://suquia.ffyh.unc.edu.ar/handle/11336/63298
work_keys_str_mv	AT burrylidiasusana ecosystemmodelingusingartificialneuralnetworksanarchaeologicaltool AT marconettomariabernarda ecosystemmodelingusingartificialneuralnetworksanarchaeologicaltool AT somozamariano ecosystemmodelingusingartificialneuralnetworksanarchaeologicaltool AT palaciopatriciairene ecosystemmodelingusingartificialneuralnetworksanarchaeologicaltool AT trivimatildeelena ecosystemmodelingusingartificialneuralnetworksanarchaeologicaltool AT dantonihector ecosystemmodelingusingartificialneuralnetworksanarchaeologicaltool
bdutipo_str	Repositorios
_version_	1764820398177779712

Ecosystem modeling using artificial neural networks: An archaeological tool

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