caa a22 4500 445864303 CHVBK 20180317145453.0 cr unu---uuuuu 170323e20110201xx s 000 0 eng 10.1007/s11119-009-9151-z doi (NATIONALLICENCE)springer-10.1007/s11119-009-9151-z Geostatistical analysis of the spatial variation of the berry borer and leaf miner in a coffee agroecosystem [Elektronische Daten] [Marcelo de Alves, Fábio da Silva, Jair Moraes, Edson Pozza, Marcelo de Oliveira, Júlio Souza, Luciana Alves] The advent of geostatistics and geographical information systems has made it possible to analyze complex spatial patterns of ecological phenomena over large areas in applied insect ecology and pest management. The objective of this study was to use geostatistics to characterize the spatial structure and map the spatial variation of damage caused by the berry borer (Hypothenemus hampei) and leaf miner (Leucoptera coffeella) in a coffee agroecosystem planted with the cultivar Catuai Vermelho IAC-99. Infestations of berry borer and leaf miner were evaluated in fruits and leaves, respectively. The pests were monitored at 67 georeferenced points in an area of 6.6ha in 2005, 2006 and 2007. Variograms estimated by the method of moments (MoM) and residual maximum likelihood REML were compared. The latter were generally better in terms of the kriging error coefficients. Spherical variograms estimated by REML for berry borer infestation in fruits had ranges of spatial dependence of 34.62-118.4m and for the leaf miner they were 53.93-133.7m. For models fitted by weighted ordinary least squares (OLS) to the MoM experimental variogram, the ranges varied between 37.22 and 68.67m for the berry borer and 100 and 155.4m for leaf miner infestation. The variogram model parameters were used with the data for ordinary kriging to map the spatial variation of coffee pests for different monitoring periods. If there was no suitable variogram, inverse distance weighting was used to map the variation. The maps enabled visualization of the intensity of infestation of the insect pests for the different periods evaluated. Springer Science+Business Media, LLC, 2009 Ordinary kriging nationallicence Hypothenemus hampei (berry borer) nationallicence Leucoptera coffeella (leaf miner) nationallicence de Alves Marcelo Faculty of Agronomy and Veterinary Medicine, Soil and Rural Engineering Department, Federal University of Mato Grosso, Av. Fernando Correa da Costa S/N, Coxipo District, 78060-900, Cuiabá, MT, Brazil aut da Silva Fábio Engineering Department, Federal University of Lavras, P.O. Box 3037, 37200-000, Lavras, MG, Brazil aut Moraes Jair Department of Entomology, Federal University of Lavras, Campus of Federal University of Lavras, cx 3037, CEP 37200-000, Lavras, MG, Brazil aut Pozza Edson Department of Phytopathology, Federal University of Lavras, P.O. Box 3037, 37200-000, Lavras, MG, Brazil aut de Oliveira Marcelo Department of Exact Sciences, Federal University of Lavras, P.O. Box 3037, 37200-000, Lavras, MG, Brazil aut Souza Júlio Engineering Department, Federal University of Lavras, Campus of Federal University of Lavras, cx 3037, CEP 37200-000, Lavras, MG, Brazil aut Alves Luciana Department of Sanitary and Environmental Engineering, Federal University of Mato Grosso, Av. Fernando Correa da Costa S/N, Coxipo District, 78060-900, Cuiabá, MT, Brazil aut Precision Agriculture Springer US; http://www.springer-ny.com 12/1(2011-02-01), 18-31 1385-2256 12:1<18 2011 12 11119 https://doi.org/10.1007/s11119-009-9151-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11119-009-9151-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- de Alves Marcelo Faculty of Agronomy and Veterinary Medicine, Soil and Rural Engineering Department, Federal University of Mato Grosso, Av. Fernando Correa da Costa S/N, Coxipo District, 78060-900, Cuiabá, MT, Brazil aut NATIONALLICENCE 700 1- da Silva Fábio Engineering Department, Federal University of Lavras, P.O. Box 3037, 37200-000, Lavras, MG, Brazil aut NATIONALLICENCE 700 1- Moraes Jair Department of Entomology, Federal University of Lavras, Campus of Federal University of Lavras, cx 3037, CEP 37200-000, Lavras, MG, Brazil aut NATIONALLICENCE 700 1- Pozza Edson Department of Phytopathology, Federal University of Lavras, P.O. Box 3037, 37200-000, Lavras, MG, Brazil aut NATIONALLICENCE 700 1- de Oliveira Marcelo Department of Exact Sciences, Federal University of Lavras, P.O. Box 3037, 37200-000, Lavras, MG, Brazil aut NATIONALLICENCE 700 1- Souza Júlio Engineering Department, Federal University of Lavras, Campus of Federal University of Lavras, cx 3037, CEP 37200-000, Lavras, MG, Brazil aut NATIONALLICENCE 700 1- Alves Luciana Department of Sanitary and Environmental Engineering, Federal University of Mato Grosso, Av. Fernando Correa da Costa S/N, Coxipo District, 78060-900, Cuiabá, MT, Brazil aut NATIONALLICENCE 773 0- Precision Agriculture Springer US; http://www.springer-ny.com 12/1(2011-02-01), 18-31 1385-2256 12:1<18 2011 12 11119 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer