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	Provedor de dados Acta Amazonica (1) REA (1) Autor Alves,Marcelo de C. (1) Bevilacqua,Luiz (1) Carvalho,Luiz G. de (1) Coltri,Priscila P. (1) Coutinho,Eliane dos Santos de Souza (1) Queiroz,Helder Lima de (1) Sarmiento,Christiany M. (1) Mais... Palavra-chave Mathematical Modeling (2) Agrometeorology (1) Crop Monitoring (1) Geographic Information System (1) Mamirauá (1) Pirarucu (Arapaima gigas) (1) Population dynamics (1) Remote Sensing (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2020 (1) 2010 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Population Dynamics Modeling of Arapaima gigas Acta Amazonica Coutinho,Eliane dos Santos de Souza; Bevilacqua,Luiz; Queiroz,Helder Lima de. Pirarucu (Arapaima gigas) has been of the most important natural fishing resources of the Amazon region. Due to its economic importance, and the necessity to preserve the species hand, field research concerning the habits and behavior of the pirarucu has been increasing for the last 20 years. The aim of this paper is to present a mathematical model for the pirarucu population dynamics considering the species peculiarities, particularly the male parental care over the offspring. The solution of the dynamical systems indicates three possible equilibrium points for the population. The first corresponds to extinction; the third corresponds to a stable population close to the environmental carrying capacity. The second corresponds to an unstable equilibrium... Tipo: Info:eu-repo/semantics/article Palavras-chave: Pirarucu (Arapaima gigas); Population dynamics; Mamirauá; Mathematical Modeling. Ano: 2010 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672010000200012 A SPECTRAL AGROMETEOROLOGICAL MODEL FOR ESTIMATING SOYBEAN GRAIN PRODUCTIVITY IN MATO GROSSO, BRAZIL REA Sarmiento,Christiany M.; Coltri,Priscila P.; Alves,Marcelo de C.; Carvalho,Luiz G. de. ABSTRACT This study used spectral data integrated with the agrometeorological model by Doorenbos and Kassam to estimate soybean grain productivity in the state of Mato Grosso, Brazil. In the developed model, spectral data were used instead of meteorological data and biophysical parameters of the crop. For this purpose, the products of real and potential evapotranspiration (MOD16), normalized difference vegetation index – NDVI (MOD13Q1), and leaf area index (MOD15A2H) from the MODIS satellite were used, in addition to sunstroke data obtained by using the visible channel from the satellite GOES IMAGER. The results obtained showed that, with the proposed methodology, it was possible to follow the development of soybean cultivation throughout the cycle and to... Tipo: Info:eu-repo/semantics/article Palavras-chave: Geographic Information System; Mathematical Modeling; Remote Sensing; Agrometeorology; Crop Monitoring. Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000300405 Registros recuperados: 2 Primeira ... 1 ... Última

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