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Multiscale Modeling of Vegetation Bands

  • Andre Mauchamp
  • Serge Rambal
  • John A. Ludwig
  • David J. Tongway
Part of the Ecological Studies book series (ECOLSTUD, volume 149)

Abstract

The questions of (1947) (“How are the individuals and the species put together? What determines their relative proportions and their spatial and temporal relations to each other?”) can be answered by examining flows and budgets of energy and matter at the scale of a specific vegetation band or their spatial relationships and aggregation. Both questions correspond to the objectives that (1984) gives to community ecology: “to detect the patterns of natural systems, to explain them by discerning the causal processes that underlie them and to generalise these explanations as far as possible.” Those patterns and processes determine the functioning of ecosystems and population dynamics that are closely linked by similar underlying spatial processes.

Keywords

Perennial Grass Daily Rainfall Multiscale Modeling Shrub Cover Bare Area 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Archer, S. 1990. Development and stability of grass/woody mosaics in a subtropical savanna parkland, Texas, USA. J. Biogeogr. 17: 453–462.CrossRefGoogle Scholar
  2. Boughton, W.C. 1989. A review of the USDA SCS curve number method. Aust. J. Soil Res. 27:511–523.CrossRefGoogle Scholar
  3. Briones, O., Montaña, C., and Ezcurra, E. 1996. Competition between three Chihuahuan Desert species: evidence from plant size-distance relations and root distribution. J. Veg. Sci. 7: 453–460.CrossRefGoogle Scholar
  4. Chapin, F.S., III, Walker, B.H., Hobbs, R.J., Hooper, D.U., Lawton, J.H., Sala, O.E., and Tilman, D. 1997. Biotic control over the functioning of ecosystems. Science 277: 500–503.CrossRefGoogle Scholar
  5. Cornet, A., Delhoume, J.P., and Montaña, C. 1988. Dynamics of striped vegetation patterns and water balance in the Chihuahan Desert. In Diversity and pattern in plant communities, eds. H.J. During, M.J.A. Werger, and J.H. Willens, pp. 221–231. The Hague: SPB Academic Publishing.Google Scholar
  6. Cornet, A.F., Montana, C., Delhoume, J.P., and López-Portillo, J. 1992. Water flows and the dynamics of desert vegetation stripes. In Landscape boundaries, consequences for biotic diversity and ecological flows, eds. A.J. Hansen and F. Di Castri, pp. 327–345. Ecological studies 92. New York: Springer Verlag.Google Scholar
  7. Cunningham, G.L., Balding, F.R., and Syvertsen, J.R 1974. A net CO2 exchange model for C4 grasses. Photosynthetica 8: 28–33.Google Scholar
  8. De Angelis, D.L., and Waterhouse, J.C. 1987. Equilibrium and nonequilibrium concepts in ecological models. Ecol. Monog. 57: 1–21.CrossRefGoogle Scholar
  9. Delcourt, H.R., Delcourt, P.A., and Webb, T. 1983. Dynamic plant ecology: the spectrum of vegetational change in space and time. Quat. Sci. Rev. 1: 153–175.CrossRefGoogle Scholar
  10. Dregne, H.E. 1983. Desertification of arid lands, advances in desert and arid land technology and development, vol. 3. London: Harwood Academic Publishers.Google Scholar
  11. Dunkerley, D.L. 1997. Banded vegetation: survival under drought and grazing pressure based on a simple cellular automaton model. J. Arid Environ. 35: 419–428.CrossRefGoogle Scholar
  12. Feddes, R.A., Kowalik, P.J., and Zaradny, H. 1978. Simulation of field water use and crop yield. Simulation Monograph. Wageningen, The Netherlands: Pudoc.Google Scholar
  13. Greene, R.S.B. 1992. Soil physical properties of three geomorphic zones in a semi-arid mulga woodland. Aust. J. Soil Res. 30: 55–69.CrossRefGoogle Scholar
  14. Greig-Smith, P. 1983. Quantitative plant ecology, 3rd ed. Studies in ecology 9. Berkeley: University of California Press.Google Scholar
  15. Hansen, A.J., and Di Castri, R, eds. 1992. Landscape boundaries. Consequences for biotic diversity and ecological flows. Ecological studies 92. New York: Springer Verlag.Google Scholar
  16. Hattersley, P.W. 1992. C4 photosynthetic pathway variation in grasses (Poacea): its significance for arid and semi-arid lands. In Desertified grasslands. Their biology and management, ed. G. Chapman, pp. 181–212. London: Academic Press.Google Scholar
  17. Hemming, C.F. 1965. Vegetation arcs in Somaliland. J. Ecol. 53: 57–68.CrossRefGoogle Scholar
  18. Hodgkinson, K.C., and Freudenberger, D.O. 1997. Production pulses and flow-ons in range-land landscapes. In Landscape ecology, function and management: principles from Australia’s rangelands, eds. J. Ludwig, D. Tongway, D. Freudenberger, J. Noble, and K. Hodgkinson, pp. 23–34. Melbourne: CSIRO Publishing.Google Scholar
  19. Kareiva, P. 1985. Finding and losing host plants by Phyllotreta: patch size and surrounding habitat. Ecology 66: 1809–1816.CrossRefGoogle Scholar
  20. Kolasa, J., and Pickett, S.T.A., eds. 1991. Ecological heterogeneity. Ecological studies 86. New York: Springer-Verlag.Google Scholar
  21. Kotliar, N.B., and Wiens, J.A. 1990. Multiple scales of patchiness and patch structure: a hierarchical framework for the study of heterogeneity. Oikos 59: 253–260.CrossRefGoogle Scholar
  22. Ludwig, J.A., and Marsden, S.G. 1995. Modelling the impacts of climate change and degradation on semi-arid landscape systems. In Proceedings, international congress on modelling and simulation, vol. 2, Air pollution and climate, eds. P. Binning, H. Bridgman, and B. Williams, pp. 251–254. Canberra: Modelling and Simulation Society of Australia.Google Scholar
  23. Ludwig, J.A., and Tongway, D.J. 1995. Spatial organisation of landscapes and its function in semi-arid woodlands, Australia. Landscape Ecol. 10: 51–63.CrossRefGoogle Scholar
  24. Ludwig, J.A., and Tongway, D.J. 1996. Rehabilitation of semi-arid landscapes in Australia. II. Restoring vegetation patches. Rest. Ecol. 4: 398–406.CrossRefGoogle Scholar
  25. Ludwig, J.A., Sinclair, R.E., and Noble, LR. 1992. Embedding a rangeland simulation model within a decision support system. Math. Comp. Simul. 33: 373–378.CrossRefGoogle Scholar
  26. Ludwig, J.A., Tongway, D.J., and Marsden, S.G. 1994. A flow-filter model for simulating the conservation of limited resources in spatially heterogeneous, semi-arid landscapes. Pac. Conserv. Biol. 1: 209–213.Google Scholar
  27. Ludwig, J.A., Tongway, D.J., and Marsden, S.G., 1999. Stripes, strands or stipples: modelling the influence of three landscape banding patterns on resource capture and productivity in semi-arid woodlands, Australia. Catena 37: 257–273.CrossRefGoogle Scholar
  28. Mabbutt, J.A. 1978. Desertification in Australia. Report 54. Kingsford, Australia: Water Research Foundation of Australia.Google Scholar
  29. Mabbutt, J.A., and Fanning, P.C. 1987. Vegetation banding in arid Western Australia. J. Arid Environ. 12: 41–59.Google Scholar
  30. Makridakis, S., and Wheelwright, S.C. 1978. Interactive forecasting: univariate and multivariate methods. Oakland, CA: Holden-Day.Google Scholar
  31. Manning, S.J., and Barbour, M.G. 1988. Root systems, spatial patterns, and competition for soil moisture between two desert subshrubs. Am. J. Bot. 75: 885–893.CrossRefGoogle Scholar
  32. Mauchamp, A., Montana, C., Lepart, J., and Rambal, S. 1993. Ecotone dependent recruitment of a desert shrub (Flourensia cernud) in vegetation stripes. Oikos 68: 107–116.CrossRefGoogle Scholar
  33. Mauchamp, A., Rambal, S., and Lepart, J. 1994. Simulating the dynamics of a vegetation mosaic: a spatialized functional model. Ecol. Model. 71: 107–130.CrossRefGoogle Scholar
  34. Moloney, K.A., Levin, S.A., Chiariello, N.R., and Buttel, L. 1992. Pattern and scale in a serpentine grassland. Theor. Pop. Biol. 41:257–276.CrossRefGoogle Scholar
  35. Montaña, C. 1992. The colonization of bare areas in two-phase mosaics of an arid ecosystem. J. Ecol. 80: 315–327.CrossRefGoogle Scholar
  36. Mougin, E., Lo Seen, D., Rambal, S., Gaston, A., and Hiernaux, P. 1995. A regional Sahe-lian grassland model to be coupled with satellite multispectral data. 1. Description and validation. Remote Sens. Environ. 52: 181–193.CrossRefGoogle Scholar
  37. Muchow, R.C., and Bellamy, J.A., eds. 1991. Climatic risk in crop production: models and management for the semiarid tropics and subtropics. Wallingford, England: CAB International.Google Scholar
  38. Nicholls, N. 1991. The El Nino southern oscillation and Australian vegetation. Vegetatio 91:23–36.CrossRefGoogle Scholar
  39. Nobel, P.S. 1980. Water vapor conductance and CO2 uptake for leaves of a C4 desert grass, Hilaria rigida. Ecology 6: 252–258.CrossRefGoogle Scholar
  40. Noy-Meir, I. 1981. Spatial effects in modelling of arid ecosystems. In arid-land ecosystems: structure, functioning and management, vol. 2, eds. D.W. Goodall and R.A. Perry, pp. 411–432. London: Cambridge University Press.Google Scholar
  41. Peterjohn, W.T., and Correll, D.L. 1984. Nutrient dynamics in an agricultural watershed: observations on the role of a riparian forest. Ecology 65: 1466–1475.CrossRefGoogle Scholar
  42. Pickett, S.T.A., Kolasa, J., Armesto, J.J., and Collins, S.L. 1989. The ecological concept of disturbance and its expression at various hierarchical levels. Oikos 54: 129–136.CrossRefGoogle Scholar
  43. Rambal, S., and Cornet, A. 1982. Simulation de l’utilisation de l’eau et de la production végétale d’une phytocénose Sahélienne du Sénégal. Acta Oecol. Oecol. Plant. 3: 381–397.Google Scholar
  44. Risser, P.G. 1987. Landscape ecology: state of the art. In Landscape heterogeneity and disturbance, ed. M.G. Turner, pp. 3–14. Ecological studies series. New York: Springer-Verlag.CrossRefGoogle Scholar
  45. Ritchie, J.T. 1972. Model for predicting evaporation from a row crop with incomplete cover. Water Resour. Res. 8: 1204–1212.CrossRefGoogle Scholar
  46. Saunders, D.A., Hopkins, A.J.M., and How, R.A., eds. 1990. Australian ecosystems: 200 years of utilization, degradation and reconstruction. Sydney: Surrey Beatty and Sons.Google Scholar
  47. Schlesinger, W.H., and Jones, C.S. 1984. The comparative importance of overland runoff and mean annual rainfall to shrub communities of the Mojave Desert. Bot. Gaz. 145: 116–124.CrossRefGoogle Scholar
  48. Schlesinger, W.H., Fonteyn, P.J., and Reiners, W.A. 1989. Effects of overland flows on plant relations, erosion, and soil water percolation on a Mojave Desert landscape. Soil Sci. Soc. Am. J. 53: 1567–1572.CrossRefGoogle Scholar
  49. Schlesinger, W.H., Reynolds, J.F., Cunningham, G.L., Huenneke, L.F., Jarrell, W.M., Virginia, R.A., and Whitford, W.G. 1990. Biological feedbacks in global desertification. Science 247: 1043–1047.PubMedCrossRefGoogle Scholar
  50. Solbreck, C., and Sillen-Tullberg, B. 1986. The role of variable weather for the dynamics of a seed-seed predator system. Oecologia 41(1): 59–62.CrossRefGoogle Scholar
  51. Tongway, D.J., and Ludwig, J.A. 1990. Vegetation and soil patterning in semi-arid mulga lands of eastern Australia. Aust. J. Ecol. 15: 23–34.CrossRefGoogle Scholar
  52. Tongway, D.J., and Ludwig, J.A. 1996. Rehabilitation of semi-arid landscapes in Australia. 1. Restoring productive soil patches. Rest. Ecol. 4: 388–397.CrossRefGoogle Scholar
  53. Tongway, D.J., and Ludwig, J.A. 1997a. The conservation of water and nutrients within landscape, Chapter 2. In Landscape Ecology, Function and Management: Principles from Australia’s Rangelands, eds J. Ludwig, D. Tongway, D. Freudenberger, J. Noble and K. Hodgkinson, pp. 13–22. Melbourne: CSIRO Publishing.Google Scholar
  54. Tongway, D.J., and Ludwig, J.A. 1997b. The nature of landscape dysfunction in rangelands. In Landscape ecology, function and management: principles from Australia’s range-lands, eds. J. Ludwig, D. Tongway, D. Freudenberger, J. Noble, and K. Hodgkinson, pp. 49–61. Melbourne: CSIRO Publishing.Google Scholar
  55. Turner, S.J., O’Neill, R.V., Conley, W., Conley, M.R., and Humphries, H.C. 1991. Pattern and scale statistics for landscape ecology. In Quantitative methods in landscape ecology. Ecological studies 82, eds. M.G. Turner and R.H. Gardner, pp. 17–49. New York: Springer-Verlag.Google Scholar
  56. Urban, D.L., O’Neill, R.V., and Shugart, H.H. 1987. Landscape ecology. A hierarchical perspective can help scientists understand spatial patterns. Bioscience 37: 119–127.CrossRefGoogle Scholar
  57. Walker, B.H., and Langridge, J.L. 1996. Modelling plant and soil water dynamics in semi-arid ecosystems with limited site data. Ecol. Model. 87: 153–167.CrossRefGoogle Scholar
  58. Watt, A.S. 1947. Pattern and process in the plant community. J. Ecol. 35: 1–22.CrossRefGoogle Scholar
  59. Wiens, J.A. 1984. On understanding a non-equilibrium world: myth and reality in community patterns and processes. In Ecological communities: conceptual issues and the evidence, eds. D.R Strong, D. Simberloff, L.G. Abele, and A.B. Thistle, pp. 439–457. Princeton: Princeton University Press.Google Scholar
  60. Wiens, J.A., Crawford, C.S., and Gosz, JR. 1985. Boundary dynamics: a conceptual framework for studying landscape ecosystems. Oikos 45: 421–427.CrossRefGoogle Scholar
  61. Wiens, J.A., Addicot, J.F., Case, T.J., and Diamond, J. 1986. Overview: the importance of spatial and temporal scale in ecological investigations. In Community ecology, eds. T.J. Case, J. Diamond, J. Roughgarden, and T. Schoener, pp. 145–153. New York: Harper and Row.Google Scholar
  62. Wierenga, P.J., Hendrickx, J.M.H., Nash, M.H., Ludwig, J., and Daugherty, L.A. 1987. Variation of soil and vegetation with distance along a transect in the Chihuahuan desert. J. Arid Environ. 13: 53–63.Google Scholar
  63. Yair, A., and Danin, A. 1980. Spatial variations in vegetation as related to the soil moisture regime over an arid limestone hillside, northern Negev, Israel. Oecologia 47: 83–88.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Andre Mauchamp
  • Serge Rambal
  • John A. Ludwig
  • David J. Tongway

There are no affiliations available

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