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- Title
Retrieval of among-stand variances from one observation per stand.
- Authors
Magnussen, Steen; Breidenbach, Johannes
- Abstract
Forest inventories provide predictions of stand means on a routine basis from models with auxiliary variables from remote sensing as predictors and response variables from field data. Many forest inventory sampling designs do not afford a direct estimation of the among-stand variance. As consequence, the confidence interval for a model-based prediction of a stand mean is typically too narrow. We propose a new method to compute (from empirical regression residuals) an among-stand variance under sample designs that stratify sample selections by an auxiliary variable, but otherwise do not allow a direct estimation of this variance. We test the method in simulated sampling from a complex artificial population with an age class structure. Two sampling designs are used (one-per-stratum, and quasi systematic), neither recognize stands. Among-stand estimates of variance obtained with the proposed method underestimated the actual variance by 30-50%, yet 95% confidence intervals for a stand mean achieved a coverage that was either slightly better or at par with the coverage achieved with empirical linear best unbiased estimates obtained under less efficient two-stage designs.
- Subjects
VARIANCES; FOREST surveys; FORECASTING; REMOTE sensing; TEST methods
- Publication
Journal of Forest Science (1212-4834), 2020, Vol 66, Issue 4, p133
- ISSN
1212-4834
- Publication type
Academic Journal
- DOI
10.17221/141/2019-JFS