Hostname: page-component-848d4c4894-x24gv Total loading time: 0 Render date: 2024-05-13T20:53:37.429Z Has data issue: false hasContentIssue false

Size dominance regulates tree spacing more than competition within height classes in tropical Cameroon

Published online by Cambridge University Press:  17 December 2010

Stephan Getzin*
Affiliation:
Department of Ecosystem Modelling, Faculty of Forest Sciences and Forest Ecology, University of Goettingen, Buesgenweg 4, 37077 Goettingen, Germany
Martin Worbes
Affiliation:
Department of Agronomy in the Tropics, Faculty of Crop Sciences, University of Goettingen, Grisebachstraße 6, 37077 Goettingen, Germany
Thorsten Wiegand
Affiliation:
Department of Ecological Modelling, UFZ – Helmholtz Centre for Environmental Research, PF 500136, 04301 Leipzig, Germany
Kerstin Wiegand
Affiliation:
Department of Ecosystem Modelling, Faculty of Forest Sciences and Forest Ecology, University of Goettingen, Buesgenweg 4, 37077 Goettingen, Germany
*
1Corresponding author. Email: sgetzin@uni-goettingen.de

Abstract:

Does competition prevail in large size classes of trees in tropical forests? This question is fundamental to our understanding of the demography and dynamics occurring in rain forests. We investigated this question based on an undisturbed late-secondary forest on a 1-ha plot in central Cameroon. Trees were stem-mapped and classified into three size classes: understorey, midstorey and overstorey. The diameter at breast height and yearly biomass increment were determined as measures of plant growth and performance. Spatial statistics such as pair- and mark-correlation functions were used to detect scale-dependent patterns that could be caused by competition within and between the three size classes. The results revealed a random pattern and spatially uncorrelated measures of plant growth of overstorey trees. This suggests that competitive effects are of minor importance in the large size class of overstorey trees. Likewise, only weak evidence for competition between trees was found within the two lower size classes. However, negative distance correlations were found between the different size classes. We suggest that competition within height classes was relatively low due to the diversity of species with their variable niche differentiations and phenotypic plasticity that may compensate for competitive effects.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

LITERATURE CITED

BABWETEERA, F. & BROWN, N. 2010. Spatial patterns of tree recruitment in East African tropical forests that have lost their vertebrate seed dispersers. Journal of Tropical Ecology 26:193203.CrossRefGoogle Scholar
CONDIT, R., ASHTON, P. S., BAKER, P., BUNYAVEJCHEWIN, S., GUNATILLEKE, S., GUNATILLEKE, N., HUBBELL, S. P., FOSTER, R. B., ITOH, A., LAFRANKIE, J. V., LEE, H. S., LOSOS, E., MANOKARAN, N., SUKUMAR, R. & YAMAKURA, T. 2000. Spatial patterns in the distribution of tropical tree species. Science 288:14141418.CrossRefGoogle ScholarPubMed
COOMES, D. A. 2003. Disturbances prevent stem size-density distributions in natural forests from following scaling relationships. Ecology Letters 6:980989.CrossRefGoogle Scholar
DOVČIAK, M., FRELICH, L. E. & REICH, P. B. 2001. Discordance in spatial patterns of white pine (Pinus strobus) size-classes in a patchy near-boreal forest. Journal of Ecology 89:280291.CrossRefGoogle Scholar
FIGUEIRA, A. M. E. S., MILLER, S. D., DE SOUSA, C. A. D., MENTON, M. C., MAIA, A. R., DA ROCHA, H. R. & GOULDEN, M. L. 2008. Effects of selective logging on tropical forest tree growth. Journal of Geophysical Research 113: doi:10.1029/2007JG000577CrossRefGoogle Scholar
GETZIN, S., DEAN, C., HE, F., TROFYMOW, J. A., WIEGAND, K. & WIEGAND, T. 2006. Spatial patterns and competition of tree species in a Douglas-fir chronosequence on Vancouver Island. Ecography 29:671682.CrossRefGoogle Scholar
GETZIN, S., WIEGAND, K., SCHUMACHER, J. & GOUGEON, F. A. 2008a. Scale-dependent competition at the stand level assessed from crown areas. Forest Ecology and Management 255:24782485.CrossRefGoogle Scholar
GETZIN, S., WIEGAND, T., WIEGAND, K. & HE, F. 2008b. Heterogeneity influences spatial patterns and demographics in forest stands. Journal of Ecology 96:807820.CrossRefGoogle Scholar
GOREAUD, F. & PÉLISSIER, R. 2003. Avoiding misinterpretation of biotic interactions with the intertype K12-function: population independence vs. random labelling hypotheses. Journal of Vegetation Science 14:681692.Google Scholar
GRAY, L. & HE, F. 2009. Spatial point-pattern analysis for detecting density-dependent competition in a boreal chronosequence of Alberta. Forest Ecology and Management 259:98106.CrossRefGoogle Scholar
HE, F., LEGENDRE, P., & LAFRANKIE, J. V. 1997. Distribution patterns of tree species in a Malaysian tropical rain forest. Journal of Vegetation Science 8:105114.Google Scholar
HUBBELL, S. P. 2006. Neutral theory and the evolution of ecological equivalence. Ecology 87:13871398.CrossRefGoogle ScholarPubMed
HUBBELL, S. P. & FOSTER, R. B. 1986. Biology, chance and history and the structure of tropical rain forest tree communities. Pp. 314329 in Diamond, J. M. & Case, T. J. (ed.). Community ecology. Harper and Row, New York.Google Scholar
HURTT, G. C. & PACALA, S. W. 1995. The consequences of recruitment limitation: reconciling chance, history, and competitive differences between plants. Journal of Theoretical Biology 176:112.CrossRefGoogle Scholar
ILLIAN, J., PENTTINEN, A., STOYAN, H. & STOYAN, D. 2008. Statistical analysis and modelling of spatial point patterns. John Wiley & Sons, Chichester. 560 pp.Google Scholar
KENKEL, N. C. 1988. Patterns of self-thinning in jack pine: testing the random mortality hypothesis. Ecology 69:10171024.CrossRefGoogle Scholar
LAWES, M. J., GRIFFITHS, M. E., MIDGLEY, J. J., BOUDREAU, S., EELEY, H. A. C. & CHAPMAN, C. A. 2008. Tree spacing and area of competitive influence do not scale with tree size in an African rain forest. Journal of Vegetation Science 19: 729738.CrossRefGoogle Scholar
MATEU, J. 2000. Second-order characteristics of spatial marked processes with applications. Nonlinear Analysis: Real World Applications 1:145162.Google Scholar
MURRELL, D. J. 2009. On the emergent spatial structure of size-structured populations: when does self-thinning lead to a reduction in clustering? Journal of Ecology 97:256266.CrossRefGoogle Scholar
PÉLISSIER, R. 1998. Tree spatial patterns in three contrasting plots of a southern Indian tropical moist evergreen forest. Journal of Tropical Ecology 14:116.CrossRefGoogle Scholar
PEÑA-CLAROS, M., FREDERICKSEN, T. S., ALARCÓN, A., BLATE, G. M., CHOQUE, U., LEAÑO, C., LICONA, J. C., MOSTACEDO, B., PARIONA, W., VILLEGAS, Z. & PUTZ, F. E. 2008. Beyond reduced-impact logging: silvicultural treatments to increase growth rates of tropical trees. Forest Ecology and Management 256:14581467.CrossRefGoogle Scholar
PENTTINEN, A., STOYAN, D. & HENTTONEN, H. M. 1992. Marked point processes in forest statistics. Forest Science 38:806824.Google Scholar
PETERS, H. A. 2003. Neighbour-regulated mortality: the influence of positive and negative density dependence on tree populations in species-rich tropical forests. Ecology Letters 6:757765.CrossRefGoogle Scholar
PICARD, N., BAR-HEN, A., MORTIER, F. & CHADOEUF, J. 2009. Understanding the dynamics of an undisturbed tropical rain forest from the spatial pattern of trees.Journal of Ecology 97:97108.CrossRefGoogle Scholar
PLOTKIN, J. B., CHAVE, J. & ASHTON, P. S. 2002. Cluster analysis of spatial patterns in Malaysian tree species. American Naturalist 160:629644.CrossRefGoogle ScholarPubMed
STOLL, P. & NEWBERY, D. M. 2005. Evidence of species-specific neighborhood effects in the Dipterocarpaceae of a Bornean rain forest. Ecology 86:30483062.CrossRefGoogle Scholar
STOYAN, D. 1984. Correlations of the marks of marked point processes – statistical inference and simple models. Journal of Information Processing and Cybernetics 20:285294.Google Scholar
STOYAN, D. & PENTTINEN, A. 2000. Recent applications of point process methods in forestry statistics. Statistical Science 15:6178.Google Scholar
STOYAN, D. & STOYAN, H. 1994. Fractals, random shapes and point fields. Methods of geometrical statistics. John Wiley & Sons, Chichester. 406 pp.Google Scholar
WÄLDER, O. & STOYAN, D. 1996. On variograms in point process statistics. Biometrical Journal 38: 895905.CrossRefGoogle Scholar
WIEGAND, T. & MOLONEY, K. A. 2004. Rings, circles, and null-models for point pattern analysis in ecology. Oikos 104:209229.CrossRefGoogle Scholar
WIEGAND, T., GUNATILLEKE, S. & GUNATILLEKE, N. 2007. Species associations in a heterogeneous Sri Lankan dipterocarp forest. American Naturalist 170:E77E95.CrossRefGoogle Scholar
WORBES, M. & JUNK, W. J. 1999. How old are tropical trees? The persistence of a myth. IAWA Journal 20:255260.CrossRefGoogle Scholar
WORBES, M., KLINGE, H., REVILLA, J. D. & MARTIUS, C. 1992. On the dynamics, floristic subdivision and geographical distribution of várzea forests in Central Amazonia. Journal of Vegetation Science 3:553564.CrossRefGoogle Scholar
WORBES, M., STASCHEL, R., ROLOFF, A. & JUNK, W. J. 2003. Tree ring analysis reveals age structure, dynamics and wood production of a natural forest stand in Cameroon. Forest Ecology and Management 173:105123.CrossRefGoogle Scholar