Sector subsampling for basal area ratio estimation: an alternative to big BAF sampling

Author:

Dai Xiao1,Ducey Mark J.2,Kershaw John A.1,Wang Haozhou1

Affiliation:

1. Faculty of Forestry and Environmental Management, University of New Brunswick, P.O. Box 4400, Fredericton, NB E3B 5A3, Canada.

2. Department of Natural Resources and the Environment, University of New Hampshire, 114 James Hall Durham, NH 03824, USA.

Abstract

Big basal area factor (big BAF) sampling is a widely used subsampling method to select measure-trees. Several studies have shown big BAF sampling to be an efficient sampling scheme. In this study, we use sector sampling (Smith et al. 2008, For. Sci. 54: 67–76) as an alternative subsample selection method. Based on some simulated mapped stands derived from three balsam fir (Abies balsamea (L.) Mill.) spacing trials in western Newfoundland, we show that sector subsampling is comparable to big BAF sampling in terms of estimated mean basal area ratios and their associated standard errors. Differences between big BAF sampling and sector sampling methods showed less than 1% difference across the three sites. As with big BAF sampling, changes in sample intensity had no significant (p < 0.05) effects on the accuracy of estimating mean biomass to basal area ratios and the resulting estimated mean biomasses per unit area.

Publisher

Canadian Science Publishing

Subject

Ecology,Forestry,Global and Planetary Change

Reference25 articles.

1. Application of big BAF sampling for estimating carbon on small woodlots

2. Carbon estimation using sampling to correct LiDAR-assisted enhanced forest inventory estimates

3. Donnelly, J.G., Lavigne, M.B., and van Nostrand, R.S. 1986. Precommercial thinning spacing trials established between 1979 and 1985. Newfoundland Forestry Centre, St. John’s, Newfoundland.

4. A Walkthrough Solution to the Boundary Overlap Problem

5. A note on the estimation of variance for big BAF sampling

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3