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A simulation study of the effects of architectural constraints and resource translocation on population structure and competition in clonal plants

  • Tomáš Herben
  • Jun-Ichirou Suzuki
Chapter

Abstract

(1) Spatially explicit simulation of clonal plant growth is used to determine how rametlevel traits affect ramet density, spatial pattern of ramets and competitive ability of a clonal plant. The simulation model used combines elements of (i) an individual-based model of plant interactions, (ii) an architectural model of clonal plant growth, and (iii) a model of resource translocation within a set of physiologically integrated plant individuals. (2) The effects of two groups of parameters were studied: growth and resource acquisition parameters (resource accumulation, density-dependence of resource accumulation, resource translocation between ramets) and architectural rules (branching angle and probability of branching, internode length). The model was parameterised by values approximating those of clonally growing grasses as closely as possible. The basic parameter values were chosen from a short-turf grassland. Sensitivity analysis was carried out on relevant parameters around three basic points in the parameter space. Both single-species and two-species systems were studied. (3) It is shown that increasing resource acquisition and growth parameters increase ramet density, genet number and competitive ability. Translocation parameters and architectural parameters modify the effects of resource acquisition and growth, but their effect in single-species stands was smaller. (4) The simulations of species with fixed ramet sizes showed that ramet density in single-species stands cannot be used for predicting competitive ability. Increase in resource acquisition and growth parameters was correlated with an increase in equilibrium ramet density and competitive ability. Increasing branching angle, branching probability or internode length lead to an increased competitive ability, but did not affect equilibrium ramet density. Change of architectural parameters could therefore affect competitive ability independently of their effect on the final ramet density. (5) Spatial pattern both in single-species and two-species stands was also highly parameter-dependent. Changes in architectural parameters and in translocation usually lead to pronounced change in the spatial pattern; change in growth and resource acquisition parameters generally had little effect on spatial pattern.

Key words

architectural model architectural rules competitive ability genet coexistence individual-based simulation model resource acquisition spatial autocorrelation 

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References

  1. Adachi, N., Terashima, I. and Takahashi, M. (1996) Mechanisms of central die-back of Reynoutria japonica in the volcanic desert on Mt. Fuji. A stochastic model analysis of rhizome growth. Ann. Bot. 78, 169–179.CrossRefGoogle Scholar
  2. Alpert, P. (1995) Does clonal growth increase plant performance in natural communities? Abstr. Bot. (Budapest) 19, 11–16.Google Scholar
  3. Alpert, P. and Stuefer, J. (1997) Division of labour in clonal plants. In H. de Kroon and J. van Groenendael (eds) The Ecology and Evolution of Clonal Plants. Backhuys Publishers, Leiden, pp. 137–155.Google Scholar
  4. Bascompte, J. and Solé, R. V. (eds) (1997) Modeling Spatiotemporal Dynamics in Ecology. Springer, Berlin.Google Scholar
  5. Bell, A. D. (1984) Dynamic morphology: a contribution to plant population ecology. In R. Dirzo and J. Sarukhhn (eds) Perspectives in Plant Population Ecology. Sinauer, Sunderland, pp. 48–65.Google Scholar
  6. Bell, A. D. (1986) The simulation of branching patterns in modular organisms. Phil. Trans. R. Soc. London B 313, 143–159.CrossRefGoogle Scholar
  7. Birch, C. P. D. and Hutchings, M. J. (1994) Exploitation of patchily distributed soil resource by the clonal herb Glechoma hederacea. J. Ecol. 82, 653–664.CrossRefGoogle Scholar
  8. Cain, M. L., Pacala, S. W., Silander, J. A. and Fortin, M. J. (1995) Neighborhood models of clonal growth in the white clover Trifolium repens. Am. Nat. 145, 888–917.CrossRefGoogle Scholar
  9. Caldwell, M. M. and Pearcy, R. W. (1994) Exploitation of Environmental Heterogeneity in Plants: Ecophysiological Processes Above-and Below-ground, Academic Press, San Diego.Google Scholar
  10. Caraco, T. and Kelly, C. K. (1991) On the adaptive value of physiological integration in clonal plants. Ecology 72, 81–93.CrossRefGoogle Scholar
  11. Cowie, N. R., Watkinson, A. R. and Sutherland, W. J. (1995) Modelling the growth dynamics of the clonal herb Anemone nemorosa L. in an ancient coppice wood. Abstr. Bot. (Budapest) 19, 35–49.Google Scholar
  12. de Kroon, H., Stuefer, J. F., Dong, M. and During, H. J. (1994) On plastic and non-plastic variation in clonal morphology and its ecological significance. Folia Geohot. Phytotax. 29, 123–138.Google Scholar
  13. Dieckmann, U., Law, R. and Metz, J. H. J. (eds) (2000) The Geometry of Ecological Interactions: Simplifying Spatial Complexity. Cambridge University Press, Cambridge.Google Scholar
  14. Eriksson, O. (1993) Dynamics of genets in clonal plants. Trends Ecol. Evol. 8, 313–316.PubMedCrossRefGoogle Scholar
  15. Eriksson, O. and Jcrling, L. (1990) Hierarchical selection and risk spreading in clonal plants. In J. van Groenendael, and H. de Kroon (eds) Clonal Growth in Plants: Regulation and Function. SPB Academic Publishing, The Hague, pp. 79–94.Google Scholar
  16. Farley, R. A. and Fitter, A. H. (1999) Temporal and spatial variation in soil resources in a deciduous woodland. J. Ecol. 87, 688–696.CrossRefGoogle Scholar
  17. Geber, M. A., de Kroon, H. and Watson, M. (1997) Organ preformation in mayapple as a mechanism for historical effects on demography. J. Ecol. 85, 211–224.CrossRefGoogle Scholar
  18. Hara, T. and Herben, T. (1997) Shoot growth dynamics and size-dependent shoot fate of a clonal plant, Festuca rubra, in a mountain grassland. Res. Popul. Ecol. 39, 83–93.CrossRefGoogle Scholar
  19. Herben, T., Krahulec, F., Hadincová, V., Kovatovd, M. and Skálová, H. (1993) Tiller demography of Festuca rubra in a mountain grassland: seasonal development, life span, and flowering. Preslia (Praha) 65, 341–353.Google Scholar
  20. Huber, H., Lukács, S. and Watson, M. A. (1999) Spatial structure of stoloniferous herbs: an interplay between structural blue-print, ontogeny and phenotypic plasticity. Plant Ecol. 141, 107–115.CrossRefGoogle Scholar
  21. Hutchings, M. J. and de Kroon, H. (1994) Foraging in plants: the role of morphological plasticity in resource acquisition. Adv. Ecol. Res. 25, 159–238.CrossRefGoogle Scholar
  22. Hutchings, M. J., Wijesinghe, D. K. and John, E. A. (2000) The effects on heterogeneous nutrient supply on plant performance: a survey of responses, with special reference to clonal herbs, In M. J. Hutchings, E. A. John and A. J. A. Stewart (eds) The Ecological Consequences of Environmental Heterogeneity. Blackwell Science Ltd., Oxford, pp. 91–110.Google Scholar
  23. Jackson R. B. and Caldwell M. M. (1993) Geostatistical patterns of soil heterogeneity around individual perennial plants. J. Ecol. 81, 683–692.CrossRefGoogle Scholar
  24. Jónsdóttir, I. S. and Watson, M. A. (1997) Extensive physiological integration: an adaptive trait in resource-poor environments. In H. de Kroon and J. van Groenendael (eds) The Ecology and Evolution of Clonal Plants. Backhuys Publishers, Leiden, pp. 109–136.Google Scholar
  25. Keddy, P. A. (1990) Competitive hierarchies and centrifugal organization of plant communities. In J. B. Grace and D. Tilman (eds) Perspectives on Plant Competition. Academic Press, San Diego, pp. 265–290.Google Scholar
  26. Klimeš, L. (1992) The clone architecture of Rumex alpinus (Polygonaceae) Oikos 63, 402-409.Google Scholar
  27. Klimeš, L. (2000) Phragmites australes at an extreme altitude: rhizome architecture and its modelling. Folia Geobot. 35, 403–417.Google Scholar
  28. Klimeš, L. and Klimešová, J. (1999) Root sprouting in Rumex acetosella under different nutrient levels. Plant Ecol. 141, 33–39.CrossRefGoogle Scholar
  29. Marshall, C. and Price, E. A. C. (1997) Sectoriality and its implications for physiological integration. In H. de Kroon and J. van Groenendael (eds) The Ecology and Evolution of Clonal Plants. Backhuys Publishers, Leiden, pp. 79–107.Google Scholar
  30. Mogie, M. and Hutchings, M. J. (1990) Phylogeny, ontogeny, and clonal growth in clonal plants. In J. van Groenendael and H. de Kroon (eds) Clonal Growth in Plants: Regulation and Function. SPB Acad. Publ., The Hague, pp. 3–22.Google Scholar
  31. Newton, P. C. D. and Hay, M. J. M. (1995) Non-viability of axillary buds as a possible constraint on effective foraging of Trifolium repens L. Abstr. Bot. (Budapest) 19, 83–88.Google Scholar
  32. Oborny, B. (1994a) Growth rules in clonal plants and predictability of the environment: a simulation study. J. Ecol. 82, 341–351.CrossRefGoogle Scholar
  33. Oborny, B. (1994b) Spacer length in clonal plants and the efficiency of resource capture in heterogeneous environments: a Monte Carlo simulation. Folia Geobot. Phytotax. 29, 139–158.CrossRefGoogle Scholar
  34. Oborny, B. and Cain, M. L. (1997) Models of spatial spread and foraging in clonal plants. In H. de Kroon and J. van Groenendael (eds) The Ecology and Evolution of Clonal Plants. Backhuys Publishers, Leiden, pp. 155–183.Google Scholar
  35. Oborny, B. and Bartha, S. (1995) Clonality in plant communities — an overview. Abstr. Bot. (Budapest) 19, 115–127.Google Scholar
  36. Oborny, B., Kun, A., Czárán, T. and Bokros, S. (2000) The effect of clonal integration on plant competition for mosaic habitat space. Ecology 81, 3291–3304.Google Scholar
  37. Pacala, S. W. and Silander, J. A. (1990) Field tests of neighborhood population dynamic models of two annual weed species. Ecol. Monogr. 60, 113–134.CrossRefGoogle Scholar
  38. Pecháčková, S., During, H. J., Rydlová, V. and Herben, T. (1999) Species-specific spatial pattern of below-ground plant parts in a montane grassland community. J. Ecol. 87, 569–582.CrossRefGoogle Scholar
  39. Piqueras, J., Klimeš, L. and Redbo-Torstensson, P. (1999) Modelling the morphological response to nutrient availability in the clonal plant Trientalis europaea L. Plant Ecol. 141, 117–127.CrossRefGoogle Scholar
  40. Robinson D., Linehan D. J. and Gordon, D. C. (1994) Capture of nitrate from soil by wheat in relation to root length, nitrogen inflow and availability. New Phvtol. 128, 297–305.CrossRefGoogle Scholar
  41. Silander, J. A. and Pacala, S. W. (1990) The application of plant population dynamics models to understanding plant competition. In J. B. Grace, D. Tilman (eds) Perspectives on Plant Competition. Academic Press, San Diego, pp. 67–92.Google Scholar
  42. Shirreffs D. A. (1985) Biological flora of British Isles. Anemone nemorosa L. J. Ecol. 73, 1005–1020.CrossRefGoogle Scholar
  43. Stuefer, J. F., de Kroon, H. and During, H. J. (1996) Exploitation of environmental heterogeneity by spatial division of labour in clonal plants. Funct. Ecol. 10, 328–334.CrossRefGoogle Scholar
  44. Suzuki, J., Herben, T., Krahulec, F. and Hara, T. (1999) Size and spatial pattern of Festuca rubra genets in a mountain grassland: its relevance to genet establishment and dynamics. J. Ecol. 87, 942–953.CrossRefGoogle Scholar
  45. Suzuki, J. and Hutchings, M. J. (1997) Interactions between shoots in clonal plants and the effects of stored resources on the structure of shoot populations. In H. de Kroon and J. van Groenendael (eds) The Ecology and Evolution of Clonal Plants. Backhuys Publishers, Leiden, pp. 311–330.Google Scholar
  46. Takenaka, A. (1994) A simulation model of tree architecture development based on growth response to local light environment. J. Plant Res. 107, 321–330.CrossRefGoogle Scholar
  47. Tilman, D. and Kareiva, P. (eds) (1996) Spatial Ecology. Monographs in Population Biology 30. Princeton University Press, Princeton, NJ.Google Scholar
  48. Upton, G. J. G. and Fingleton, B. (1985) Spatial Data Analysis by Example. Vol. 1. Point Pattern and Quantitative Data. Wiley and Sons, Chichester.Google Scholar
  49. Watson, M. A., Hay, M. J. M. and Newton, P. C. D. (1997) Developmental phenology and the timing of determination of shoot bud fates: ways in which the developmental program modulates fitness in clonal plants. In H. de Kroon and J. van Groenendael (eds) The Ecology, and Evolution of Clonal Plants. Backhuys Publishers, Leiden, pp. 31–53.Google Scholar
  50. Wijesinghe, D. K. and Hutchings, M. J. (1997) The effect of spatial scale of environmental heterogeneity on the growth of a clonal plant: an experimental study with Glechoma hederacea. J. Ecol. 85, 17–29.CrossRefGoogle Scholar
  51. Wilhalm, T. (1995) A comparative study of clonal fragmentation in tussock-forming grasses. Abstr. Bot. (Budapest) 19, 51–60.Google Scholar
  52. Wilson, J. B. (1995) Testing for community structure: a Bayesian approach. Folla Geohot. Phytotax. 30, 461–469.CrossRefGoogle Scholar
  53. Winkler, E. and Schmid, B. (1995) Clonal strategies of herbaceous plant species: a simulation study on population growth and competition. Abstr. Bot. (Budapest) 19, 17–28.Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2002

Authors and Affiliations

  1. 1.Institute of Low Temperature ScienceHokkaido UniversitySapporoJapan

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