SPECIES-SPECIFIC EQUATIONS: GREATER PRECISION IN COMMERCIAL VOLUME ESTIMATION IN MANAGED FORESTS IN THE AMAZON

IF 0.7 4区农林科学 Q3 FORESTRY

Cerne Pub Date : 2020-11-17 DOI:10.1590/01047760202026032741

M. F. D. Santos, Afonso Figueiredo Filho, J. Gama, Fabiane Aparecida de Sousa Retslaff, D. L. D. Costa

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引用次数: 2

Abstract

The objective of this study was to analyze the performance of species-specific equations (SSEs) concerning generic ones in Annual Production Units (GEAPUs) and in a Forest Management Area (GEFMA) in the Brazilian Amazon. A total of 29,119 trees from 43 species were inventoried, harvested, and volumetric measurements were taken in ten APUs, with 10% of this total being separated for validation and comparison of the selected equations. After selection and validation of the equations (GEFMA, GEAPUs and SSEs) they were compared using precision statistics, by contrasting estimated and observed volumes and by residual analysis. Precision statistics were clearly lower for the SSEs. Trend lines near the average observed volume were shown for the SSEs when the estimates were contrasted with the observations. The residuals generated by the SSEs were smaller and statistically different than those of GEFMA and GEAPUs for the majority of cases. The most important commercial species (M. huberi) had its volume overestimated by 10.6, 9.3 and 3.0% when the GEFMA, the GEAPUs, and the SSEs were applied, respectively. Among the species that generally had very large trees, H. petraeum had its volume underestimated by 15.7, 16.6 and 4.4% by the GEFMA, GEAPUs and SSEs, respectively. The greater precision of the SSEs is reflected in better forest management planning decisions with respect to operational and economic aspects. These results show that besides being statistically valid, the SSEs are recommended for obtaining more precise estimates of commercial volume, especially since there is a great demand for reliable estimates for each individual species in forest management areas in the Amazon. 1University of the Midwest of Parana, Irati, Parana State, Brazil, ORCID: 0000-0002-6388-7679a, 0000-0001-99657851b, 0000-0003-4025-9562c, 0000-0002-1685-7864d 2University of Western Para, Santarem, Para, Brazil, 0000-0002-3629-3437a SPECIES-SPECIFIC EQUATIONS: GREATER PRECISION IN COMMERCIAL VOLUME ESTIMATION IN MANAGED FORESTS

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特定物种方程:在亚马逊地区管理森林中商业体积估算的更高精度

本研究的目的是分析巴西亚马逊地区年度生产单位(GEAPUs)和森林管理区(GEFMA)中物种特异性方程(ses)与一般方程的表现。共有43个树种的29,119棵树被调查、采伐，并在10个apu中进行了体积测量，其中10%被分离用于验证和比较所选方程。在对方程(GEFMA、GEAPUs和sss)进行选择和验证后，使用精度统计、估计体积和观测体积的对比以及残差分析对它们进行比较。sse的统计精度明显较低。当估计值与观测值相比较时，显示了靠近平均观测体积的趋势线。在大多数情况下，sse产生的残差比GEFMA和GEAPUs产生的残差更小，且具有统计学差异。当采用GEFMA、GEAPUs和sse时，最重要的商业树种胡贝(M. huberi)的体积分别被高估了10.6、9.3和3.0%。在通常拥有非常大乔木的树种中，GEFMA、GEAPUs和sse分别低估了柽柳的15.7%、16.6%和4.4%。在业务和经济方面，森林管理规划决策的改进反映了森林安全指标的更高精度。这些结果表明，除了在统计上有效外，sss还被推荐用于获得更精确的商业量估计，特别是因为在亚马逊森林管理区对每个单独物种的可靠估计有很大的需求。[2]中国林业科学，中国林业科学，2000,11(2):1 .中国林业大学学报(自然科学版)，2 .中国林业大学学报(自然科学版)，2 .中国林业科学

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来源期刊

Cerne 农林科学-林学

CiteScore

1.60

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Cerne is a journal edited by the Federal University of Lavras, Minas Gerais state, Brazil, which quarterly publishes original articles that represent relevant contribution to Forestry Science development (Forest ecology, Forest Management, Silviculture, Technology of Forest Products).