Home Itens selecionados Provedores de dados OAI Créditos Sobre Ajuda

			Busca avançada
	Provedor de dados AgEcon (1) PAB (1) Autor Babcock, Bruce A. (1) Batista,Anderson Pedro Bernardina (1) Breidt, F. Jay (1) Mello,José Márcio de (1) Pautsch, Gregory R. (1) Raimundo,Marcel Régis (1) Reis,Aliny Aparecida dos (1) Scolforo,Henrique Ferraço (1) Scolforo,José Roberto Soares (1) Mais... Palavra-chave Geostatistics (2) Variogram (2) Estimation risk (1) Nitrogen fertilizer (1) Optimal sample sizes (1) Precision farming (1) Research Methods/ Statistical Methods (1) Shannon index (1) Single rate technology (1) Variable rate technology (1) Mais... Tipo do documento Conference Paper or Presentation (1) Info:eu-repo/semantics/article (1) Ano 2016 (1) 1999 (1) País Brazil (1) United States (1) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Species richness and diversity in shrub savanna using ordinary kriging PAB Batista,Anderson Pedro Bernardina; Mello,José Márcio de; Raimundo,Marcel Régis; Scolforo,Henrique Ferraço; Reis,Aliny Aparecida dos; Scolforo,José Roberto Soares. Abstract: The objective of this work was to analyze the spatial distribution and the behavior of species richness and diversity in a shrub savanna fragment, in 2003 and 2014, using ordinary kriging, in the state of Minas Gerais, Brazil. In both evaluation years, the measurements were performed in a fragment with 236.85 hectares, in which individual trees were measured and identified across 40 plots (1,000 m2). Species richness was determined by the total number of species in each plot, and diversity by the Shannon diversity index. For the variogram study, spatial models were fitted and selected. Then, ordinary kriging was applied and the spatial distribution of the assessed variables was described. A strong spatial dependence was observed between species... Tipo: Info:eu-repo/semantics/article Palavras-chave: Geostatistics; Shannon index; Variogram. Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2016000800958 Optimal Information Acquisition under a Geostatistical Model AgEcon Pautsch, Gregory R.; Babcock, Bruce A.; Breidt, F. Jay. Studies examining the value of switching to a variable rate technologies (VRT) fertilizer program assume producers possess perfect soil nitrate information. In reality, producers estimate soil nitrate levels with soil sampling. The value of switching to a VRT program depends on the quality of the estimates and on how the estimates are used. Larger sample sizes, increased spatial correlation, and decreased variability improve the estimates and increase returns. Fertilizing strictly to the estimated field map fails to account for estimation risk. Returns increase if the soil sample information is used in a Bayesian fashion to update the soil nitrate beliefs in non-sampled sites. Tipo: Conference Paper or Presentation Palavras-chave: Estimation risk; Geostatistics; Nitrogen fertilizer; Optimal sample sizes; Precision farming; Single rate technology; Variable rate technology; Variogram; Research Methods/ Statistical Methods. Ano: 1999 URL: http://purl.umn.edu/18358 Registros recuperados: 2 Primeira ... 1 ... Última

Empresa Brasileira de Pesquisa Agropecuária - Embrapa Todos os direitos reservados, conforme Lei n° 9.610 Política de Privacidade Área restrita		Embrapa Parque Estação Biológica - PqEB s/n° Brasília, DF - Brasil - CEP 70770-901 Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco