Regression Kriging in the Productive Capacity of Planted Forests

Abstract

Abstract The objective of this study was to evaluate the classification of productive capacity in eucalyptus stands using regression kriging. The study was carried out in 62 stands with clonal plantations of Eucalyptus sp. Data were collected at 24, 36, 48, 60, 72 and 84 months in 170 sampling units of 400 m². The variables diameter at 1.30 m above the ground (DBH), total height (Ht) were measured and, subsequently, the average height of the dominant trees (Hd) was obtained. The classification of productive capacity was carried out using the algebraic difference method, with the models: Schumacher, Chapman and Richards and Bailey and Clutter. The site index was interpolated by applying ordinary kriging and regression kriging. The results indicated that the site index showed spatial dependence in all adjustments. It is concluded that regression models for estimating the site index can be used in combination with regression kriging techniques.

Keywords

• Spatial dependence
• Geostatistics
• Modeling
• Site
• Production