Modeling the fine root biomass dispersion using a special influence function

IForest

Volumn 1, Issue NOV, 2008, Pages 141-144

  Walder O ^a   Wälder, Konrad ^b  

^a DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

^b TU BERGAKADEMIE FREIBERG   (Germany)

Author keywords

Fine root biomass; Forest effects; Influence function; Interaction

Indexed keywords

EID: 76349087266     PISSN: None     EISSN: 19717458     Source Type: Journal    
DOI: 10.3832/ifor0469-0010141     Document Type: Article

References (12)

1. Ammer C, Wagner S (2005). An approach for modeling the mean fine-root biomass of Norway spruce stands. Trees 19: 145-153.
2. Böhm W (1979). Methods of studying root systems. Ecological Studies vol. 33. Springer Verlag, Berlin, Heidelberg, New York.
3. Grimm V, Railsback SF (2005). Individual-based modeling and ecology. Princeton series in theoretical and computational biology. Princeton University Press, Princeton (USA).
4. Kuhlmann-Berenzon S, Hjorth U (2007). Accounting for large-scale factors in the study of understory vegetation using a conditional logistic model. Environmental and Ecological Statistics 14: 149-159.
5. Murach D (1984). Die Reaktion der Feinwurzeln von Fichten (Picea abies[L.]). Karst. auf zunehmende Bodenversauerung. Göttinger Bodenkundliche Berichte 77: 1-126.
6. Näther W, Wälder K (2003). Experimental design and statistical inference for cluster point processes-with applications to the fruit dispersion of anemochorous forest trees. Biometrical Journal 45: 1006-1022.
7. Näther W, Wälder K (2006). Applying fuzzy measures for considering interaction effects in root dispersal models. Fuzzy Sets ans Systems 158: 572-578.
8. Okland RH, Rydgren K, Okland T (1999). Single-tree influence on understorey vegetation in a Norwegian boreal spruce forest. Oikos 87: 488-498.
9. Saetre P (1999). Spatial patterns of ground vegetation, soil microbial biomass and activity in a mixed spruce-birch stand. Ecography 22: 183-192.
10. Wälder K, Wälder O (2008). Analysing interaction effects using the mark correlation function. iForest 1: 34-38.
11. Wälder O (2008). Mathematical methods for engineers and geoscientists. Springer, Berlin, Heidelberg, New York.
12. Yastrebov AB (1996) Strength of tree phytogenic fields in Lichen-Green Moss Pine forests. Russian Journal of Ecology 27: 1-7.