Abstract
AbstractThe spatial structure of the mean cone production from even-aged stone pine (Pinus pinea) stands of the Northern Plateau of Spain has been studied. Available data consisted of 123 five-tree plots, where cone crop was collected during a 5-year period (1996-2000). The experimental variogram for the mean cone crop has shown that cone production is a variable with a high percentage of spatially structured variance and a range of spatial correlation of approximately 2000 m. A kriging map for the mean stand production (over the 5-year period) has been built. Additionally, we used conditional simulation to study the spatial variability and to quantify the uncertainty of predictions. This method permits the construction of uncertainty and probability maps. Geostatistical prediction of cone production at a regional scale has been shown to be a useful tool for modelling a low-value natural resource such as stone pine cones, without needing additional covariate measurements.
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