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| Content Provider | Springer Nature Link |
|---|---|
| Author | Schmidt, Matthias Gadow, Klaus |
| Copyright Year | 1999 |
| Abstract | Die Verwendung der SBB-Funktion (Johnson 1949) als Hilfsmittel zur Schätzung der Bestandeshöhenstreuung wird erläutert. Es wird ein Verfahren vorgestellt, mit dem Inventurinformationen auch bei ungleichen Anzahlen an BHD-Höhen-Wertepaaren vollständig genutzt werden können. Da aus Bestandesinventuren häufig relativ wenige Höhen zur Parametrisierung zur Verfügung stehen, werden Simulationen des Verfahrens für unterschiedlich große Stichprobenumfänge und Auswahlvarianten an BHD-Höhen-Paaren für einen Beispielbestand berechnet. Die Ergebnisse werden auf der Basis der Abweichungen der generierten von den gemessenen Höhen und über mittlere relative Abweichungen der bedingten Häufigkeitsverteilungen der einzelnen Simulationen von der Parametrisierung auf der Basis aller Wertepaare des Beispielbestandes beurteilt. Weiterhin werden die Ergebnisse von Höhenschätzungen für den Gesamtbestand und das Teilkollektiv der Oberschichtbäume verglichen. Während die Höhenschätzungen für die Oberschicht geringe Fehler- und Biaswerte aufweisen, treten für den zweischichtigen Gesamtbestand in Teilbereichen systematische Über- und Unterschätzungen auf.This paper describes the use of the bivariate SBB distribution for estimating the variation of tree heights based on data from permanent sample plots of a beech forest. Since usually only few heights and many diameters are available from forest inventories, simulation results are presented for different sample sizes and combinations of dbh-height-data. The results are evaluated using the criteria mean relative discrepancy between the conditional height distributions of the model using all dbh-height-data and single simulations using only few dbh-height pairs. Additionally the root mean square error for height estimates (RMSE) is calculated. The height estimates for the total stand and the subsample of the overstory trees are compared. The height estimates for the overstory trees have very low RMSE and bias. Bias and RMSE are considerably higher in certain diameter classes for the total stand including both subpopulations. |
| Starting Page | 355 |
| Ending Page | 367 |
| Page Count | 13 |
| File Format | |
| ISSN | 00158003 |
| Journal | Forstwissenschaftliches Centralblatt vereinigt mit Tharandter forstliches Jahrbuch |
| Volume Number | 118 |
| Issue Number | 1-6 |
| e-ISSN | 14390337 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 1999-01-01 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | Subscribed |
| Subject Keyword | estimation of tree height conditional height distribution bivariate diameter-height-distribution SBB-distribution simulation of sampling Forestry Plant Sciences Plant Ecology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Plant Science Forestry |
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