Contributions to the harmonization of forest attribute estimates per unit area of large-scale forest inventories
DOI:
https://doi.org/10.4336/2022.pfb.42e202102199Keywords:
National forest inventory, Cluster sampling, Forest atributesAbstract
Large-scale regional or national forest inventories collect field data on sample plots systematically- or randomly-distributed, fully or partially covered by forests. This scientific note addresses differences between a prediction of a forest attribute per unit area that also considers land uses other than forest, and a prediction based only on the forested area of a sample plot. The former approach yields a more realistic prediction for the sample point, whereas the latter yields a prediction that is comparable to classical phytosociological studies.
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