Abstract
The objective of this study was to determine the best method to estimate tree height by different hypsometric approaches. This study is a provenance trial with Eucalyptus spp. in a 35-year-old pioneering plantation in the municipality of Lavras, Brazil. The census was taken by measuring the diameter at 1.30 m above ground and total height. All x and y coordinates of the individual trees were obtained and these trees were classified according to their stem quality. The ordinary kriging, co-kriging and ordinary kriging of the residuals generated from the regression models were fitted by an exponential model. The Curtis model was selected for calculating the regression. The best method to estimate the height-diameter relationship was based on the statistical and graphical criteria. The spatial prediction model did not adequately represent the height–diameter relationship. The regression technique was more precise and accurate by inserting variables that helped capture different development standards of the trees. The regression-kriging produced more accurate total height estimates. Inclusion of the stochastic effect in the general spatial behavior of the total height variable helped to capture specific details about the stand. Therefore, this method is recommended for experimental areas. Key words: Kriging, regression, covariable.  
Highlights
In Brazil, the forestry sector is important in generating products, taxes, foreign investment, jobs, and incomes, which represents approximately 5% of the national Gross Domestic Product (GDP)
This study proposes a novel form of comparative evaluation in the height estimation of Eucalyptus spp., a species that is synonymous of the forestry sector development in Brazil
Variographic modeling for ordinary kriging and cokriging of HT – Spatial prediction models
Summary
In Brazil, the forestry sector is important in generating products, taxes, foreign investment, jobs, and incomes, which represents approximately 5% of the national Gross Domestic Product (GDP). The importance of this sector in the Brazilian economy is mainly related to the adaptation of Eucalyptus spp. to different environments in the country as well as the high level of technology used in the silviculture and management of tropical plantations. A key process for monitoring forest growth is the forest inventory This facilitates the generation of benefits based on the information obtained; enabling, the quantification of the economic return of the forest. This involves continuous investment in the creation of maps, designing and installing forest inventory plots and measuring variables, such as diameter, height, and sometimes the canopies of individual trees (Avery and Burkhart, 2002)
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