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Forstwissenschaftliches Centralblatt

, Volume 92, Issue 1, pp 261–268 | Cite as

Konkurrenzdruck und Zuwachs von Pinus radiata

  • A. v. Laar
Abhandlungen
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Zusammenfassung

Die Abhängigkeitsbeziehung zwischen drei Konkurrenzvariablen und dem Volumenzuwachs vonP. radiata wurde untersucht, nämlichProdan-Ehrlenspiels n-Baum-Stichprobe (Bantrei), eine Abwandlung vonSpurrs Modifikation der Winkelzählprobe (bangtreei) undKennels Abstandsvariable (distreei). Die Ergebnisse waren folgende:
  1. 1.

    In den undurchforsteten A-Flächen ergabbangtreei die höchste Regressionsquadratsumme, in den stark durchforsteten C-Flächen dagegendistreei.

     
  2. 2.

    Die Regressionsquadratsumme ist vom Wert des Index i abhängig.

     
  3. 3.

    Für dieselbe Baumhöhe und denselben Wert der Konkurrenzvariablenbangtree4 ist der Zuwachs in stark durchforsteten Beständen größer als in schwach durchforsteten.

     

Summary

In this study, the efficiency of three variables, to express competition amongst trees within biogroups ofP. radiata, was investigated. The variablebantreen was defined as the basal area per hectare of the n-nearest trees. The variablebangtreen is a modification ofSpurrs angle summation measure and expresses also the basal area per hectare of the n-trees which surround a study tree.distreen was defined as the distance between a study tree and the n-nearest tree. The study was conducted in unthinned A-plots, in B-plots exposed to medium thinning and in heavily thinned C-plots. The variables were calculated from i=1 to i=9 in the A-plots, to i=8 in the B-plots and to i=7 in the C-plots. In multiple regression analyses the volume growth of all trees in the A-, B- and C-plots of three series, were related to tree height and to each competition variable and index value. This produced 72 regression equations. The results were:
  1. 1.

    In the A-plots,bangtreei is the most efficient variable. Its regression sum of squares reaches a maximum for i=9. Hence, the growth of a study tree is influenced by at least nine surrounding trees.

     
  2. 2.

    In the B-plots,bangtreei is also superior, the highest regression sum of squares being recorded for i=3.

     
  3. 3.

    In the C-plots, the regression sum of squares ofbangtreei is highest for i=2, whereas the variabledistreei gives the most satisfactory results.

     
  4. 4.

    The distance variabledistreei gives the highest partial correlations for i=2 in the A- and B-plots and for i=3 in the C-plots.

     
  5. 5.

    For a given value of the competition variablebangtree4, the rate of volume growth in heavily thinned stands is greater than in lightly thinned. The competition variables are therefore suitable to express the degree of competition within biogroups, but not to explain differential growth rates amongst groups.

     

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Literatur

  1. Ehrlenspiel, G., 1971: Möglichkeiten zur Ermittlung der Standfläche von Einzelbäumen und deren Bedeutung bei der Auswertung von Versuchsflächen. Diss. FreuburgGoogle Scholar
  2. Johnsson, B., 1961: Om barrlandskogens volymproduktion. Medd. St. Skogsf. Inst.50.Google Scholar
  3. Kennel, R., 1966: Soziale Stellung, Nachbarschaft und Zuwachs. Forstw. Cbl.85, 193–204.CrossRefGoogle Scholar
  4. Laar, A. van, 1972: Needle-biomass, growth and growth distribution ofPinus radiata in South Africa, in relation to pruning and thinning. Forschungsbericht der F.V.A. München, Nr. 9.Google Scholar
  5. Prodan, M., 1968: Einzelbaum, Stichprobe und Versuchsfläche. Allg. F. und J. Zeitung139.Google Scholar
  6. Spurr, S. H., 1962: A measure of point density. For. Science8.Google Scholar
  7. Stern, K., 1966: Vollständige Varianzen und Kovarianzen in Pflanzenbeständen. Silvae Genetica15.Google Scholar

Copyright information

© Verlag Paul Parey 1973

Authors and Affiliations

  • A. v. Laar
    • 1
    • 2
  1. 1.Forstliche FakultätUniversität von StellenboschSüdafrika
  2. 2.Institut für Forstliche ErtragskundeMünchen 40

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