Simulation of natural evolution of stem number and tree distribution pattern in a pure pine stand

Environmetrics

Volumn 11, Issue 2, 2000, Pages 197-208

  Degenhardt, Annett ^a   Pofahl, Ulrich ^b  

^a Landesforstanstalt Eberswalde   (Germany)

^b NONE   (Germany)

Author keywords

Death process; Gibbs process model; Simulation; Spatial point process; Stochastic process; Tree distribution pattern

Indexed keywords

FOREST COVER; POPULATION DISTRIBUTION; TREE;

EID: 0034069563     PISSN: 11804009     EISSN: None     Source Type: Journal    
DOI: 10.1002/(sici)1099-095x(200003/04)11:2<197::aid-env402>3.0.co;2-1     Document Type: Article

References (7)

1. Degenhardt, A. (1999). 'Description of tree distribution patterns and their development through marked Gibbs processes'. Biometrical Journal 41, 457-470.
2. Degenhardt, A. and Pofahl, U. (1998). 'Simulation der natürlichen Entwicklung von Stammzahl und Stammverteilungsmustern in einem Kiefernreinbestand'. Deutscher Verband Forstlicher Forschungsanstalten. Sektion Forstliche Biometrie und Informatik: 10. Tagung, Freiburg, 24-26 September 1997, 61-73.
3. Ogata, Y. and Tanemura, M. (1985). 'Estimation of interaction potentials of marked spatial point patterns through the maximum likelihood method'. Biometrics 41, 421-433.
4. Penttinen, A. K., Stoyan, D. and Henttonen, M. (1992). 'Marked point processes in forest statistics'. Forest Science 38, 806-824.
5. Pofahl, U. (1984). 'Modelling the development of the number of trees in a pine stand - by death process and statistical inference'. Elektronische Informationsverarbeitung und Kybernetik 20, 476-479.
6. Särkkä, A. (1993). 'The pseudo-likelihood approach for Gibbs point processes in connection with field observations'. In Stochastic Spatial Models in Forestry, ed. K. Rennolls. Proceedings of a IUFRO S4.11 Conference held in Thessaloniki, Greece, 18-21 May 1993.
7. Stoyan, D. and Stoyan, H. (1994). Fractals, Random Shapes and Point Fields: Methods of Geometrical Statistics. New York: Wiley.