A novel application of small area estimation in loblolly pine forest inventory

IF 3 2区 农林科学 Q1 FORESTRY
Forestry Pub Date : 2020-05-14 DOI:10.1093/forestry/cpz073
P. Green, H. Burkhart, J. Coulston, P. Radtke
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引用次数: 10

Abstract

Loblolly pine (Pinus taeda L.) is one of the most widely planted tree species globally. As the reliability of estimating forest characteristics such as volume, biomass and carbon becomes more important, the necessary resources available for assessment are often insufficient to meet desired confidence levels. Small area estimation (SAE) methods were investigated for their potential to improve the precision of volume estimates in loblolly pine plantations aged 9–43. Area-level SAE models that included lidar height percentiles and stand thinning status as auxiliary information were developed to test whether precision gains could be achieved. Models that utilized both forms of auxiliary data provided larger gains in precision compared to using lidar alone. Unit-level SAE models were found to offer additional gains compared with area-level models in some cases; however, area-level models that incorporated both lidar and thinning status performed nearly as well or better. Despite their potential gains in precision, unit-level models are more difficult to apply in practice due to the need for highly accurate, spatially defined sample units and the inability to incorporate certain area-level covariates. The results of this study are of interest to those looking to reduce the uncertainty of stand parameter estimates. With improved estimate precision, managers, stakeholders and policy makers can have more confidence in resource assessments for informed decisions.
小面积估算在火炬松森林资源清查中的新应用
火炬松(Pinus taeda L.)是全球种植最广泛的树种之一。由于估计森林特征(如体积、生物量和碳)的可靠性变得更加重要,可用于评估的必要资源往往不足以达到期望的置信水平。研究了小面积估算(SAE)方法在提高9 ~ 43岁火炬松人工林体积估算精度方面的潜力。开发了包括激光雷达高度百分位数和林分变薄状态作为辅助信息的区域级SAE模型,以测试是否可以实现精度增益。与单独使用激光雷达相比,使用这两种辅助数据的模型在精度上获得了更大的收益。在某些情况下,与区域级模型相比,单元级SAE模型提供了额外的增益;然而,结合激光雷达和变薄状态的区域级模型的表现几乎一样好,甚至更好。尽管单位级模型在精度上有潜在的提高,但由于需要高度精确的、空间定义的样本单位,并且无法纳入某些面积级协变量,因此在实践中应用起来更加困难。这项研究的结果对那些希望减少林分参数估计的不确定性的人很感兴趣。随着估算精度的提高,管理者、利益相关者和政策制定者可以对资源评估更有信心,从而做出明智的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Forestry
Forestry 农林科学-林学
CiteScore
6.70
自引率
7.10%
发文量
47
审稿时长
12-24 weeks
期刊介绍: The journal is inclusive of all subjects, geographical zones and study locations, including trees in urban environments, plantations and natural forests. We welcome papers that consider economic, environmental and social factors and, in particular, studies that take an integrated approach to sustainable management. In considering suitability for publication, attention is given to the originality of contributions and their likely impact on policy and practice, as well as their contribution to the development of knowledge. Special Issues - each year one edition of Forestry will be a Special Issue and will focus on one subject in detail; this will usually be by publication of the proceedings of an international meeting.
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