Evaluation of Sampling with Partial Replacement and Double Sampling in a Managed Forest in the Brazilian Amazon

被引：0

作者：

Reategui-Betancourt, Jorge L. ^{[1
,4
]}

Mazzei, Lucas ^{[1
,2
]}

Rezende, Alba Valeria ^{[1
]}

Briceno, Guido ^{[3
]}

de Oliveira, Carlos Magno Moreira ^{[1
]}

Gaui, Tatiana Dias ^{[1
]}

Khan, Salman

Figueiredo, Axa Emanuelle S. ^{[1
]}

机构：

[1] Univ Brasilia UnB, Dept Engn Florestal, Brasilia, DF, Brazil

[2] Empresa Brasileira Pesquisa Agr EMBRAPA Amazonia O, Belem, PA, Brazil

[3] French Natl Ctr Sci Res CNRS, CNRS, Montpellier, France

[4] Campus Univ Darcy Ribeiro, BR-70910900 Brasilia, DF, Brazil

来源：

FLORESTA E AMBIENTE | 2023年 / 30卷 / 04期

关键词：

Sampling technique; Forest management; Forest inventory; Amazon;

D O I：

10.1590/2179-8087-FLORAM-2023-0011

中图分类号：

S7 [林业];

学科分类号：

0829 ; 0907 ;

摘要：

We compared sampling techniques in a managed native forest in Paragominas, Para, Brazil. Our goal in this study was to evaluate the feasibility of using Double Sampling (DS) and Sampling with Partial Replacement (SPR), when compared to Continuous Forest Inventory (CFI), to estimate the wood stock for trees with DBH >= 20 cm in a managed forest. In our results, DS had the best volume prediction, generating a sampling error of 5.20% (11.48 m' ha-1) on the second occasion 3.86% (8.78 m' ha-1). The average volume increment, estimated for the forest in the monitored period (2014-2016) was 6.88 m' ha-1, with a relative sampling error of 63.09%. Therefore, as an alternative and of low cost, we suggest using DS in successive forest inventories in monitoring areas of forest resources in the Brazilian Amazon.

引用

页数：11

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