2021
DOI: 10.1007/s13595-021-01037-4
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Effects of errors in basal area and mean diameter on the optimality of forest management prescriptions

Abstract: • Key message Errors in forest stand attributes can lead to sub-optimal management prescriptions concerning the set management objectives. When the objective is net present value, errors in mean diameter result in greater losses than similar errors in basal area, and underestimation greater losses than overestimation. • Context Errors in forest inventory data can cause in… Show more

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Cited by 10 publications
(6 citation statements)
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“…The higher the IVI, the more influential the plant is for the community, and its loss would present more significant damage [66]. We also estimated stem basal area based on diameter at breast height (DBH) as a measure of tree density [71].…”
Section: Woody Plant Species Diversitymentioning
confidence: 99%
“…The higher the IVI, the more influential the plant is for the community, and its loss would present more significant damage [66]. We also estimated stem basal area based on diameter at breast height (DBH) as a measure of tree density [71].…”
Section: Woody Plant Species Diversitymentioning
confidence: 99%
“…These synthetic estimates, also known as "pixel-counting" estimates (Waldner and Defourny 2017), may, however, hold systematic errors, if the model underlying the map is insufficient (Breidenbach et al 2021a;Palahí et al 2021). Systematic errors in estimates hamper decision making aiming at the optimal planning and management of forest resources (Ruotsalainen et al 2021).…”
Section: Introductionmentioning
confidence: 99%
“…For this purpose, inaccurate projections of growth and yield are certainly not desired. However, since we never know the true growth and yield of plantations when projections are being made, if these errors do not lead to substantial differences in what is considered to be the optimal silvicultural practice, the predictive errors are actually of little consequence (Kangas et al 2011;Ruotsalainen et al 2021). Site index, or a measure of site quality, is commonly used as a driver in stand-level growth and yield projection models.…”
Section: Introductionmentioning
confidence: 99%