Skip to main content

Advertisement

Log in

Point patterns of tree distribution determined by habitat heterogeneity and dispersal limitation

  • Community ecology - Original Paper
  • Published:
Oecologia Aims and scope Submit manuscript

Abstract

Understanding processes underlying spatial distribution of tree species is fundamental to studying species coexistence and diversity. This study modeled point patterns of tree distribution, expressed by Cartesian coordinates of individual trees within a mapped forest stand, for the purpose of identifying processes that may generate spatial patterns of tree communities. We used four primary point pattern processes (homogeneous Poisson process, inhomogeneous Poisson process, homogeneous Thomas process, and inhomogeneous Thomas process) to model tree distribution in two stem-mapped forests in Taiwan, Republic of China. These four models simulate spatial processes of habitat association and seed dispersal, allowing us to evaluate the potential contribution of habitat heterogeneity and dispersal limitation to the formation of spatial patterns of tree species. The results showed that the inhomogeneous Thomas process was the best fit model and described most of the species studied, suggesting that spatial patterns of tree species might be formed by the joint effects of habitat associations and dispersal limitation. The homogeneous Thomas process that models the effect of dispersal limitation was the second best model. We also found that the best fit models could be predicted by species attributes, including species abundance and dispersal mode. The significant traits, however, differed between the two study plots and demonstrated site-specific patterns. This study indicated that the interactive operation of niche-based (habitat heterogeneity) and neutral-based (dispersal limitation) may be important in generating spatial patterns of tree species in forest communities.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Augspurger CK (1984) Seedling survival of tropical tree species: interactions of dispersal distance, light-gaps, and pathogens. Ecology 65:1705–1712

    Article  Google Scholar 

  • Baddeley A, Turner R (2005) Spatstat: an R package for analyzing spatial point patterns. J Stat 12:1–42

    Google Scholar 

  • Beckage B, Clark JS (2005) Does predation contribute to tree diversity? Oecologia 143:458–469

    Article  PubMed  Google Scholar 

  • Chang LW et al (2010) Species composition, size-class structure and diversity of the Lienhuachih forest dynamics plot in a subtropical evergreen broad-leaved forest in central Taiwan. Taiwan J For Sci 25:81–95

    Google Scholar 

  • Clark DB, Palmer MW, Clark DA (1999) Edaphic factors and the landscape-scale distributions of tropical rain forest trees. Ecology 80:2662–2675

    Article  Google Scholar 

  • Comita LS, Condit R, Hubbell SP (2007) Developmental changes in habitat associations of tropical trees. J Ecol 95:482–492

    Article  Google Scholar 

  • Condit R (1998) Tropical forest census plots: methods and results from Barro Colorado Island, Panama and a comparison with other plots. Springer, New York

    Google Scholar 

  • Condit R et al (2000) Spatial patterns in the distribution of tropical tree species. Science 288:1414–1418

    Article  CAS  PubMed  Google Scholar 

  • Connell JH (1971) On the role of natural enemies in preventing competitive exclusion in some marine animals and in rain forest trees. In: den Boer PJ, Gradwell GR (eds) Dynamics of populations. Centre for Agricultural Publishing and Documentation, Wageningen, Netherlands, pp 298–310

    Google Scholar 

  • Dalling JW, Muller-Landau HC, Wright SJ, Hubbell SP (2002) Role of dispersal in the recruitment limitation of Neotropical pioneer species. J Ecol 90:714–727

    Article  Google Scholar 

  • Diggle PJ (2003) Statistical analysis of spatial point patterns. Arnold, London

    Google Scholar 

  • Getzin S, Wiegand T, Wiegand K, He FL (2008) Heterogeneity influences spatial patterns and demographics in forest stands. J Ecol 96:807–820

    Article  Google Scholar 

  • Gunatilleke CVS et al (2006) Species-habitat associations in a Sri Lankan dipterocarp forest. J Trop Ecol 22:371–384

    Article  Google Scholar 

  • Harms KE, Wright SJ, Calderon O, Hernandez A, Herre EA (2000) Pervasive density-dependent recruitment enhances seedling diversity in a tropical forest. Nature 404:493–495

    Article  CAS  PubMed  Google Scholar 

  • Harms KE, Condit R, Hubbell SP, Foster RB (2001) Habitat associations of trees and shrubs in a 50-ha Neotropical forest plot. J Ecol 89:947–959

    Article  Google Scholar 

  • He F, Legendre P, LaFrankie JV (1997) Distribution patterns of tree species in a Malaysian tropical rain forest. J Veg Sci 8:105–114

    Article  Google Scholar 

  • Huang F, Ogata Y (1999) Improvements of the maximum pseudo-likelihood estimators in various spatial statistical models. J Comput Graph Stat 8:510–530

    Article  Google Scholar 

  • Huang TC et al (1994) Flora of Taiwan. Department of Botany, National Taiwan University, Taipei

    Google Scholar 

  • Hubbell SP et al (1999) Light-gap disturbances, recruitment limitation, and tree diversity in a Neotropical forest. Science 283:554–557

    Article  CAS  PubMed  Google Scholar 

  • Illian J, Penttinen A, Stoyan H, Stoyan D (2008) Statistical analysis and modelling of spatial point patterns. Wiley, New York

    Google Scholar 

  • Janzen DH (1970) Herbivores and the number of tree species in tropical forests. Am Nat 104:501–528

    Article  Google Scholar 

  • John R et al (2007) Soil nutrients influence spatial distributions of tropical tree species. Proc Natl Acad Sci USA 104:864–869

    Article  CAS  PubMed  Google Scholar 

  • Kenkel NC (1988) Pattern of self-thinning in jack pine: testing the random mortality hypothesis. Ecology 69:1017–1024

    Article  Google Scholar 

  • Law R, Illian J, Burslem D, Gratzer G, Gunatilleke CVS, Gunatilleke I (2009) Ecological information from spatial patterns of plants: insights from point process theory. J Ecol 97:616–628

    Article  Google Scholar 

  • Li L et al (2009) Spatial distributions of tree species in a subtropical forest of China. Oikos 118:495–502

    Article  Google Scholar 

  • Liao JH, Wang HH, Tsai CC, Hseu ZY (2006) Litter production, decomposition and nutrient return of uplifted coral reef tropical forest. For Ecol Manage 235:174–185

    Article  Google Scholar 

  • Lin P (2000) Fruit and seed consumption by frugivores on the Lauraceae trees (Lindera communis, Litsea acuminata, Machilus thungbergii, M. mushaensis, M. zuihoensis) at Fushan experimental forest. Master’s thesis, National Dong Hwa University, Hualien

  • Møller J, Waagepetersen RP (2004) Statistical inference and simulation for spatial point processes. CRC Press, New York

    Google Scholar 

  • Oliver CD, Larson BC (1996) Forest stand dynamics. Wiley, New York

    Google Scholar 

  • Plotkin J, Chave J, Ashton P (2002) Cluster analysis of spatial patterns in Malaysian tree species. Am Nat 160:629–644

    Article  PubMed  Google Scholar 

  • Ripley BD (1976) The second-order analysis of stationary point processes. J Appl Probab 13:255–266

    Article  Google Scholar 

  • SAS (2000) The SAS system release 8.1. SAS Institute, Cary

    Google Scholar 

  • Seidler TG, Plotkin JB (2006) Seed dispersal and spatial pattern in tropical trees. PLoS Biol 4:e344

    Article  PubMed  Google Scholar 

  • Shao R (2007) Spatial distributions and microhabitat preference of tree seedlings in a tropical forest in Kenting. Master’s thesis, Kaohsiung Medical University, Kaohsiung

  • Shen G et al (2009) Species–area relationships explained by the joint effects of dispersal limitation and habitat heterogeneity. Ecology 90:3033–3041

    Article  PubMed  Google Scholar 

  • Su H (1991) Food habits of Formosan macaques (Macaca cyclopis) in Jentse Area, I-Lan. Master’s thesis, National Taiwan University Taipei

  • Sung F (2005) Fig consumption by birds and mammals of three Ficus species in a karst forest in Kenting, Southern Taiwan. Master’s thesis, National Dong Hwa University, Hualien

  • Valencia R et al (2004) Tree species distributions and local habitat variation in the Amazon: large forest plot in eastern Ecuador. J Ecol 92:214–229

    Article  Google Scholar 

  • Waagepetersen RP (2007) An estimating function approach to inference for inhomogeneous Neyman–Scott processes. Biometrics 63:252–258

    Article  PubMed  Google Scholar 

  • Wang HH et al (2004) Tree species composition and habitat types of a karst forest in Kenting, Southern Taiwan. Taiwan J For Sci 19:323–325

    Google Scholar 

  • Wiegand T, Gunatilleke S, Gunatilleke N (2007a) Species associations in a heterogeneous Sri Lankan dipterocarp forest. Am Nat 170:E77–E95

    Article  PubMed  Google Scholar 

  • Wiegand T, Gunatilleke S, Gunatilleke N, Okuda T (2007b) Analyzing the spatial structure of a Sri Lankan tree species with multiple scales of clustering. Ecology 88:3088–3310

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

The work was inspired from many discussions with Fangliang He while Y.L. was visiting the He Lab at University of Alberta in the summer of 2009. The authors thank Drs. Fangliang He, Katherine Gross, Andy Hector, James Dalling and Joshua Plotkin for their constructive feedback of earlier drafts of the manuscript. The authors also would like thank Dr. Yu-Yun Chen for her efforts in data management, Mr. Guochun Shen for his assistance in computer programming, Mrs. Rene Wilson for her editorial assistance, and many research assistants/students from Taiwan Forestry Research Institute, Providence University, Tunghai University, and other universities in Taiwan for their assistance with the field work for the LHC and Kenting plots. This study was supported by grants by the Taiwan Forestry Research Institute (97 AS-7.1.1.F1-G1) and Taiwan Forestry Bureau (No. TFBM-960226). The study complies with the current laws and regulations of Taiwan.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yi-Ching Lin.

Additional information

Communicated by Andy Hector.

Electronic supplementary material

Below is the link to the electronic supplementary material.

(DOC 572 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lin, YC., Chang, LW., Yang, KC. et al. Point patterns of tree distribution determined by habitat heterogeneity and dispersal limitation. Oecologia 165, 175–184 (2011). https://doi.org/10.1007/s00442-010-1718-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00442-010-1718-x

Keywords

Navigation