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Community Ecology

, Volume 2, Issue 2, pp 145–159 | Cite as

On the measurement of diversity-productivity relationships in a northern mixed grass prairie (Grasslands National Park, Saskatchewan, Canada)

  • F. CsillagEmail author
  • M. Kertész
  • A. Davidson
  • S. Mitchell
Article

Abstract

For the investigation of diversity-productivity relationships under natural conditions, we present an operationally feasible measurement scheme explicitly considering the spatial organization of vegetation. We hypothesised that the spatial arrangement of the coexistence of species influences patch-level productivity. To characterise diversity, co-occurrences of species were recorded along oval transects allowing scaling by aggregation between 5 cm and 25 m. Productivity was characterised by field radiometric measurements, calibrated for leaf area and biomass, arranged in a sampling scheme scalable between 20 cm and 50 m. All data were collected along a slight resource gradient in the Stipa-Bouteloua (upland) community of the northern mixed-grass prairie in Grasslands National Park, Saskatchewan. We found a wide range of correlations (Kendall’s τ between −0.2 and 0.9) between various measures of diversity (species richness, local species combinations) and productivity (average and variability of leaf-area index) as a function of sampling unit size. For field assessment of patch-level composition and functioning, we recommend to use samples at the spatial resolution corresponding to the maximum number of local species combinations as an appropriate scale for comparison. We demonstrate how our sampling methodology can be considered for possible process-oriented inference about diversity and productivity. To characterise diversity-productivity relationships for long-term monitoring and prediction of plant community structure and functioning, scalable, repeatable, non-destructive observations should be applied.

Keywords

Co-occurrence Leaf-area index Light interception Non-destructive sampling Spatial pattern Species combinations 

Abbreviations

NS

number of species

SC

species combination

NRSC

number of realised (observed) species combinations

NRSCmax

maximum of NRSC vs. resolution (i.e., sampling unit size)

LNM

resolution at which NRSCmax occurs

FPAR

Fraction of absorbed photo synthetically active radiation

LAI

leaf-area index

LAIave

average of LAI

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Notes

Acknowledgements

The authors are indebted to S. Bartha for his insight, advice and computer programs, and to F. Gadallah, M-J. Fortin, J. Podani, and three anonymous reviewers for comments on the manuscript. The financial support of the Hungarian Scientific Research Foundation (OTKA T032319) to M. Kertész and of the Canadian Natural Science and Engineering Research Council to F. Csillag is gratefully acknowledged.

References

  1. Bailey, T. and A. Gatrell. 1995. Interactive Spatial Data Analysis. Longman, Harlow.Google Scholar
  2. Barnes, P. W., L. Tieszen and D. J. Ode. 1983. Distribution, production and diversity of C3- and C4-dominated communities in a mixed prairie. Can. J. Bot. 61: 741–751.CrossRefGoogle Scholar
  3. Bartha, S. 1990. Spatial processes in developing plant communities: pattern formation detected using information theory. In: F. Krahulec, A. D. Q. Agnew, S. Agnew and J. Willems (eds.), Spatial Processes in Plant Communities. Academia Praha, Praha, pp. 31–47.Google Scholar
  4. Bartha, S. and M. Kertész. 1998. The importance of neutral models in detecting interspecific spatial associations from ‘trainsect’ data. Tiscia 31: 85–98.Google Scholar
  5. Bartha, S., S. L. Collins, S. M. Glenn and M. Kertész. 1995. Fine-scale spatial organization of tallgrass prairie vegetation along a topographic gradient. Folia Geobot. Phytotax. 30: 169–184.CrossRefGoogle Scholar
  6. Bartha, S., T. Czárán and I. Scheuring. 1997. Spatiotemporal scales of non-equilibrium community dynamics: A methodological challenge. New Zealand J. Ecol. 21: 199–206.Google Scholar
  7. Budd, A. C., J. Looman, K. F. Best and J. Waddington. 1987. Budd’s Flora of the Canadian Prairie Provinces. Research Branch. Agriculture Canada. 863pp.Google Scholar
  8. Cressie, N. A. C. 1993. Statistics for Spatial Data. J. Wiley & Sons, New York.CrossRefGoogle Scholar
  9. Csillag, F., A. Davidson, S. Mitchell, H. Peat, D. Wedin, M. Kertész and B. Wylie. 1996. Subpixel spatiotemporal pattern analysis of remote sensing observations for predicting grassland ecological and biophysical characteristics. Proc. International Geoscience and Remote Sensing Symposium, Lincoln, NE, May 26–31, 1996. pp.2377–2379.Google Scholar
  10. Csillag, F., B. Boots, M-J. Fortin, K. Lowell and F. Potvin. 2001. Multiscale characterization of ecological boundaries. Geomatica 55: 291–307.Google Scholar
  11. Curran, P. and P. Atkinson. 1998. Geostatistics and remote sensing. Progress in Physical Geography 22: 61–78.CrossRefGoogle Scholar
  12. Czárán, T. 1998. Spatiotemporal Models of Population and Community Dynamics. Chapman & Hall, London.Google Scholar
  13. Dale, M. R. T. 1999. Spatial Pattern Analysis in Plant Ecology. Cambridge University Press, Cambridge.CrossRefGoogle Scholar
  14. Davidson, A. and F. Csillag. 2001. The influence of vegetation index and spatial resolution on a two-date remote sensing derived relation to C4 species coverage. Remote Sensing of Environment 75: 138–151.CrossRefGoogle Scholar
  15. Dungan, J. 1998. Spatial prediction of vegetation quantities using ground and image data. Internat. J. Remote Sensing 19: 267–285.CrossRefGoogle Scholar
  16. Durrett, R. and S. Levin. 1994. The importance of being discrete (and spatial). Theoret. Popul. Biol. 46: 363–394.CrossRefGoogle Scholar
  17. Ehleringer, J. R. and C. B. Field. 1993. Scaling Physiological Processes from Leaf to Globe. Academic Press, San Diego, 1993.Google Scholar
  18. Environment Canada 1998. Canadian Climate Normals 1961–1990. Swift Current A, Saskatchewan.Google Scholar
  19. Fortin, M-J. 1999. Spatial statistics in landscape ecology. In: J. M. Klopatek and R. H. Gardner (eds.), Landscape Ecological Analysis: Issues and Applications. Springer, New York. pp. 253–279.CrossRefGoogle Scholar
  20. Frank, D. J. and S. J. McNaughton. 1989. Aboveground biomass estimation with the canopy intercept method: a plant growth form caveat. Oikos 57, 57–60.CrossRefGoogle Scholar
  21. Garcia, L. V., L. Clemente, T. Maranon and A. Moreno. 1993. Above-ground biomass and species richness in a Mediterranean salt marsh. J. Veg. Sci. 4: 417–424.CrossRefGoogle Scholar
  22. Grace, J. B. 2001. The role of community biomass and species pools in the regulation of plant diversity. Oikos 92: 193–207.CrossRefGoogle Scholar
  23. Greig-Smith, P. 1983. Quantitative Plant Ecology. 3rd edition. University of California Press, Berkeley.Google Scholar
  24. Grime, J. P. 1973. Competitive exclusion in herbaceous vegetation. Nature 242: 344–347.CrossRefGoogle Scholar
  25. Hector, A. 1998. The effect of diversity on productivity: detecting the role of species complementarity. Oikos 82: 597–599.CrossRefGoogle Scholar
  26. Hector, A., B. Schmid, C. Beierkuhnlein et al. 1999. Plant diversity and productivity experiments in European grasslands. Science 286: 1123–1127.CrossRefGoogle Scholar
  27. Henebry, G. M. 1993. Detecting change in grasslands using measures of spatial dependence with Landsat TM data. Remote Sensing of Environment 46: 223–234.CrossRefGoogle Scholar
  28. Hooper, D. U. and P. M. Vitousek. 1997. The effect of plant composition and diversity on ecosystem processes. Science 277: 1302–1305.CrossRefGoogle Scholar
  29. Huston, M. A. 1979. A general hypothesis of species diversity. Amer. Nat. 113: 81–101.CrossRefGoogle Scholar
  30. Johnson, K. H., K. A. Vogts, H.J. Clark, O. J. Schmitz and D. J. Vogt. 1996. Biodiversity and the productivity and stability of ecosystems. Trends in Ecology and Evolution 11: 272–377.CrossRefGoogle Scholar
  31. Juhász-Nagy, P. 1984. Spatial dependence of plant populations. Part 2. A family of new models. Acta Bot. Hung. 30: 363–402.Google Scholar
  32. Juhász-Nagy, P. and J. Podani. 1983 Information theory methods for the study of spatial processes and succession. Vegetatio 51: 129–140.CrossRefGoogle Scholar
  33. Jupp, D. L. B., A. H. Strahler and C. E. Woodcock. 1989. Autocorrelation and regularization of images II. Simple image models. IEEE Geoscience and Remote Sensing 27: 247–258.CrossRefGoogle Scholar
  34. Knazykhin, Y., J. Martonchik, R. Myneni, D. Diner and S. W. Running. 1998. Synergistic algorithm for estimating vegetation canopy leaf-area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data. Journal of Geophysical Research 103: 32257–32275.CrossRefGoogle Scholar
  35. Körner, Ch. 1994. Scaling from species to vegetation: The usefulness of functional groups. In: E-D. Schultze and H. A. Mooney (eds.), Biodiversity and Ecosystem Function. Springer, Berlin. pp. 117–140.CrossRefGoogle Scholar
  36. Loreau, M. 1998. Biodiversity and ecosystem functioning: A mechanistic modell. Proceedings of the National Academy of Sciences of the USA 95: 5632–5636.CrossRefGoogle Scholar
  37. Loveridge, D. M. and B. Potyondi. 1994. From Wood Mountain to the Whitemud: A Historical Survey of the Grassland National Park Area. History and Archeology 67, Parks Canada, Ottawa.Google Scholar
  38. MacArthur, R. 1955. Fluctuations of animal populations and a measure of community stability. Ecology 36: 533–536.CrossRefGoogle Scholar
  39. McCanny, S. and P. Fargey. 1998. The effects of grazing and exotic grasses on the ecological integrity of upland prairie. Parks Canada, Val Marie.Google Scholar
  40. Michalsky, S. J. and R. A. Ellis. 1994. Vegetation of Grassland National Park. D. A. Westworth and Associates, Calgary.Google Scholar
  41. Mitchell, S. M. and F. Csillag. 2001. Assessing the stability and uncertainty of predicted vegetation growth under climatic variability: northern mixed grass prairie. Ecol. Model. 139: 101–121.CrossRefGoogle Scholar
  42. Palmer, M. W. and E. van der Maarel. 1995. Variance in species richness, species association, and niche limitation. Oikos 73: 203–213.CrossRefGoogle Scholar
  43. Pastor, J., A. Downing and E. H. Erickson. 1996. Species-area curves and diversity-productivity relationships in beaver meadows of Voyageurs National Park, Minnesota, USA. Oikos 77: 399–406.CrossRefGoogle Scholar
  44. Peat, H. C. 1997. Dynamics of C3 and C4 Productivity in Northern Mixed Grass Prairie. MSc thesis, University of Toronto.Google Scholar
  45. Podani, J. 1984. Analysis of mapped and simulated vegetation pattern by means of computerized sampling techniques. Acta Bot. Hung. 30: 403–425.Google Scholar
  46. Ricklefs, R. E. and D. Schluter (eds.) 1993. Species Diversity in Ecological Communities: Historical and Geograpical Perspectives. University of Chicago Press.Google Scholar
  47. Rosenzweig, M. L. 1995. Species Diversity in Space and Time. Cambridge University Press, Cambridge.Google Scholar
  48. Snedecor, G. W. and W. G. Cochran. 1977. Statistical Methods. Iowa State University Press, Ames.Google Scholar
  49. Symstad, A., D. Tilman, J. Wilson, and J. M. H. Knops. 1998. Species loss and ecosystem functioning: effects of species identity and community composition. Oikos 84: 389–387.CrossRefGoogle Scholar
  50. Tilman, D. 1982. Resource Competition and Community Structure. Princeton University Press, Princeton.Google Scholar
  51. Tilman, D., D. Wedin and J. Knops. 1996. Productivity and sustainability influenced by biodiversity in grassland ecosystems. Nature 270: 718–720.CrossRefGoogle Scholar
  52. Tóthmérész, B. and Zs. Erdei. 1992. The effect of species dominance on information theory characteristics of plant communities. Abstracto Botanica 16: 43–47.Google Scholar
  53. Ulanowitz, R. E. 1979. Complexity, stability and self-organization in natural communities. Oecologia 42: 295–298.CrossRefGoogle Scholar
  54. Waide, R. B., M. R. Willig, C. F. Steiner, G. Mittelbach, L. Gough, S. I. Dodson, G. P. Juday and R. Parmenter. 1999. The relationship between productivity and species richness. Annual Reviews of Ecology and Systematics 30: 257–300.CrossRefGoogle Scholar
  55. Webster, R. 1985. Quantitative spatial analysis of soil in the field. Advances in Soil Science 3: 1–70.Google Scholar
  56. Webster, R. and M. Oliver. 1990. Statistical Methods for Soil and Land Resources Survey. Oxford University Press, Oxford.Google Scholar
  57. Weiser, R. L., G. Asrar, G. P. Miller and E. T Kanemasu. 1986. Assessing grassland biophysical characteristics from spectral measurements. Remote Sensing of Environment 20: 141–152.CrossRefGoogle Scholar
  58. Wiens, J. A. 1989. Spatial scaling in ecology. Fund. Ecol. 3: 385–397.CrossRefGoogle Scholar

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© Akadémiai Kiadó, Budapest 2001

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  • F. Csillag
    • 1
    Email author
  • M. Kertész
    • 2
  • A. Davidson
    • 1
  • S. Mitchell
    • 1
  1. 1.Department of Geography and Institute for Land Information ManagementUniversity of TorontoMississaugaCanada
  2. 2.Institute of Ecology and BotanyHungarian Academy of SciencesVácrátótHungary

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