Precision of Density Estimates from Fixed-Radius Plots Compared to N-Tree Distance Sampling
By Veronica C. Lessard, T. Drummer, D. Reed. Forestry sciences, 2002
61 citations recorded by the source corpus.
We computed and compared the statistical properties of the estimators for the number of trees/ha (density) for fixed-radius plot and n-tree distance sampling. In forests with random spatial patterns, n-tree distance sampling density estimators are at least as precise as those of plot sampling if the fixed-radius plot size is less than the ratio of (n - 2) and the expected density, where n is the number of trees included at an n-tree location. A similar result holds for the clustered forest, where the ratio is multiplied by a factor involving a constant of heterogeneity. If the expected number of trees per plot and the plot sizes are the same for both the random and clustered spatial patterns, the variance of the plot sampling density estimator for the clustered pattern will always be greater than for that of the random spatial pattern. FOR. SCI. 48(1):1–6.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/743f21c05713a14e88e9d987e032d01d86c2b427
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In Computer Vision and Pattern Recognition
Citations in the corpus
- Early settlement forest structure in Black Hills ponderosa pine forests (2006, methodology): “Within each plot, we used n-tree distance sampling methods (Jonsson et al., 1992; Lessard et al., 2002) to collect data from the nearest 30 pre-settlement trees to each plot center within a maximum plot radius of 40 m ( 0.”