Características edáfico-nutricionais de plantios florestais na região de Manaus. II. Crescimento de Carapa guianensis Aubl. em solos de diferentes texturas

Magalhães, Luís Mauro Sampaio; Blum, Winfried E. H.; Fernandes, Noeli Paulo

doi:10.1590/1809-43921986161534

Cited by 2 publications

(1 citation statement)

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“…According to Guarino et al (2014), edaphic factors can provide the occurrence of microsomes favorable to the occurrence of aggregates of the species, since the establishment of the trees occurs according to the soil characteristics conducive to their development. In general, more clayey soils, with higher base saturation and high levels of manganese, exchangeable calcium and total magnesium, are more favorable to the establishment and growth of andirobas trees (Magalhães et al, 1986).…”

Section: Spatial Patternmentioning

confidence: 99%

SAMPLING PROCESSES FOR Carapa guianensis AUBL. IN THE AMAZON

Vieira

Oliveira

Gama

et al. 2018

CERNE

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HIGHLIGHTSThe process of adaptive cluster sampling (ACS) is not legally viable.The processes of systematic sampling and simple random are legally viable.The use of larger parcels in the ACS overestimates the variable of interest.The higher the share in the ACS, the greater the sampling intensity. ABSTRACTThe objective of this study was to analyze the adaptive cluster sampling (ACS), simple random sampling (SRS) and systematic sampling (SS) processes to obtain the number of ha-1 trees of Carapa guianensis Aubl. in the Amazon. The data were obtained through 100% inventory and sampling simulations, considering a DBH ≥ 25 cm, a sampling intensity of 4%, a maximum error of 10% and plots of 0.09, 0.16 and 0.25 ha. The last two sizes were only used to analyze their effect on the ACS estimators. The processes were evaluated for accuracy, precision (E % ) and confi dence interval (CI), while the mean ha -1 of the processes were compared with that of the 100% inventory by the Z test. The ACS process showed no signifi cant difference between its average ha -1 trees and the 100% inventory, and it was also the most accurate and the only one whose CI was true. However, it presented a fi nal sample intensity 3.6 times greater than the simple and systematic random samplings, in addition to E % above 10%, which makes it unacceptable, legally, and economically unfeasible. The other processes had densities signifi cantly higher than the 100% inventory, with sample intensities lower than ACS and E % lower than 10%, making them legally viable. The use of larger plots in the ACS implies larger clusters and a greater tendency to underestimate the number of trees, resulting in larger sample errors and less accuracy. v.24 n.3 2018 SAMPLING PROCESSES FOR Carapa guianensis AUBL. IN THE AMAZON FOREST 170 CERNE VIEIRA et al.

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Section: Spatial Patternmentioning

confidence: 99%