Método de clasificación de sitios para la producción forestal, ejemplo en Chile

Abstract

This paper discusses a site classification system based on forest productivity in Chile. The system makes use of the following environmental factors, arranged in order of decreasing importance in forest productivity; macroclimate, local climate, soil physical properties, and finally, soil chemical-nutritive properties. Based on previous analyses, climatic factors are most important in determining forest productivity up to a scale of 1:500.000, with soil becoming the decisive factor at finer scales. Accordingly, Chile was divided into six well-differentiated macroclimatic regions, each one further divided into growth zones (based on climate), growth districts (climate), and growth areas (based on both climate and soil at a scale of 1:250.000). More detailed subdivisions are based on soil physical properties. The resulting classification system functions as a forest-planning tool, and provides information about the causal relationships of forest productivity. Its applications may also include the management of information related to soil nutrient surveys and soil management.

A cost effective stratified two-stage sampling design to estimate the forest land area of southern Chile

“…Also, large sample sizes are required to estimate native forest area in the region VII, the most northern region studied. We explore the use of post-stratification as a mechanism to reduce sampling error using post-design information previously generated on growing zones for the study area (Schlatter and Gerding 1995). Even with this rather aggregate information on climatic and soil growing conditions, adopting a post-stratified estimator can achieve significant gains in precision on the estimation of the planted forest area.…”

“…An estimated approximate MSE can then be obtained by computing the Table 2. Distribution of forest plantations and native forests by the growing zones of Schlatter and Gerding (1995 formula of the variance for the unbiased estimator of a total (eq. A1 in Appendix A) using the values of the score variable multiplied by the sample weights.…”

“…Information on climate and soil types has been used to identify growth zones for forest species in southern Chile (Schlatter and Gerding 1995). Not only latitude variations are important with clearly defined macroclimate regions, the topographic features dominated by the coastal range and the Andes Mountains exert for center/south locations significant longitudinal variations in rainfall patterns and temperature regime, particularly frost intensity and number of frost days (Schlatter and Gerding 1995). This geographic information cutting across design strata can be used to improve the precision of the sample estimate of the forest areas.…”

Alternativas silvícolas para aumentar la rentabilidad de las plantaciones forestales

“…El enfoque que ha recibido el tema de productividad de sitios por parte de los especialistas chilenos es muy variado y el énfasis que han puesto en determinados aspectos se basa, principalmente, en el tipo de formación profesional que han recibido y en el especialista extranjero con que han interactuado (2)(3)(4)(5)(6)(7)(8)(9)(10)(11).…”

Modelo de ahusamiento por tipo de suelo para Pinus radiata en las regiones del Biobío y la Araucanía, Chile

“…The study was conducted in the central macro climatic region of Chile, which has an annual rainfall ranging between 654 and 1,949 mm (Centro de Ciencia del Clima y la Resiliencia [CR2], 2015), with a summer period of three to seven months depending on the location (Schlatter & Gerding, 1995). The tree sample was collected in stands of Pinus radiata D. Don, located in 11 municipalities in the regions of Biobío and Araucanía, in three types of soils, i.e., volcanic sand, volcanic ash and marine sediments.…”