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Plant and Soil

, Volume 345, Issue 1–2, pp 103–124 | Cite as

Impacts of soil fertility on species and phylogenetic turnover in the high - rainfall zone of the Southwest Australian global biodiversity hotspot

  • Juliane Sander
  • Grant Wardell-Johnson
Regular Article

Abstract

The ancient landscape of the South - West Australian Floristic Region (SWAFR) is characterized by exceptional floristic diversity, attributed to a complex mosaic of nutrient - impoverished soils. Between - soil type differences in nutrient availability are expected to affect floristic assemblage patterns in the SWAFR. We compared patterns of floristic diversity between open - forest samples from three soil types in the high - rainfall zone of the SWAFR. The importance of environmental and spatial factors for species compositional turnover within soil types were evaluated within canonical correspondence analyses using variation partitioning. Patterns of phylogenetic diversity and dispersion were contrasted between soil types and related to differences in soil nutrient availability. Between - quadrat shared phylogenetic branch length for individual life form categories was correlated with explanatory variables using Mantel tests. Species and phylogenetic diversity increased with a decline in soil nutrients and basal area. Nutrient - poorer soils were differentiated by higher species density and phylogenetic diversity, and larger phylogenetic distances between species. Species turnover was best explained by environmental factors when soil nutrient concentrations and basal area were low. Coastal and inland quadrats from the most fertile soil type were distinguished by significantly differing patterns of phylogenetic diversity. Inland quadrats were characterized by strong relationships between phylogenetic diversity and environment, while phylogenetic patterns remained largely unaccounted for by explanatory variables within coastal quadrats. Phylogenetic diversity was more strongly related with environment within upland landform types for nutrient-poor soils. We highlight the complex relationships between climatic and edaphic factors within the SWAFR, and propose that the occurrence of refugial habitat for plant phylogenetic diversity is dynamically linked with these interactions. Climate change susceptibility was estimated to be especially high for inland locations within the high - rainfall zone. Despite the strong relationship between floristic diversity and soil fertility, holistic conservation approaches are required to conserve the mosaic of soil types regardless of soil nutrient status.

Keywords

Climate Landscape retrogression Life form phylogenetic diversity Phylogenetic dispersion Shared phylogenetic branch length Species compositional turnover Soil nutrient availability 

Abbreviations

SWAFR

South - West Australian Floristic Region

CCA

Canonical Correspondence Analysis

Notes

Acknowledgements

The project has been funded by an ARC International Linkage Grant LX0775868 to the second author. Funding for the first author has been provided from the Commonwealth Government through an Australian Postgraduate Award. We would like to thank Joselyn Fissioli and Carly Bishop for providing support with the manipulation and formatting of spatial and floristic data from South - Western Australia.

References

  1. Adams JA, Walker TW (1975) Some properties of a chrono-toposequence of soils from granite in New Zealand, 2. forms and amounts of phosphorus. Geoderma 13:41–51CrossRefGoogle Scholar
  2. Angiosperm Phylogeny Group (2003) An update of the angiosperm phylogeny group classification for the orders and families of flowering plants:APG II. Bot J Linn Soc 141:399–436CrossRefGoogle Scholar
  3. Bond W (2010) Do nutrient-poor soils inhibit development of forests? A nutrient stock analysis. Plant Soil 334:46–60CrossRefGoogle Scholar
  4. Borcard D, Legendre P, Drapeau P (1992) Partialling out the spatial component of ecological variation. Ecology 73:1045–1055CrossRefGoogle Scholar
  5. Bormann FH, Likens GE (1979) Pattern and process in a forested ecosystem. Springer, New YorkGoogle Scholar
  6. Braun-Blanquet J (1932) Plant-Sociology: the study of plant communitites. USA, New YorkGoogle Scholar
  7. Bryant JA, Lamanna C, Morlon H, Kerkhoff AJ, Enquist BJ, Green JL (2008) Microbes on mountainsides: contrasting elevational patterns of bacterial and plant diversity. Proc Natl Acad Sci USA 105:11505–11511PubMedCrossRefGoogle Scholar
  8. Cain S (1939) The climax and its complexities. Am Midl Nat 21:146–181CrossRefGoogle Scholar
  9. Cavender-Bares JA, Keen A, Miles B (2006) Phylogenetic structure of Floridian plant communities depends on taxonomic and spatial scale. Ecology 87:S109–S122PubMedCrossRefGoogle Scholar
  10. Chapin FS (1980) The mineral nutrition of wild plants. Annu Rev Ecol Syst 11:233–260CrossRefGoogle Scholar
  11. Churchward HM, McArthur WM, Sewell PL, Bartle GA (1988) Landforms and soils of the south coast and hinterland, W.A. Northcliffe to Many Peaks. 88/1, CSIRO of Water Resources DivisionGoogle Scholar
  12. Clark DB, Palmer MW, Clark DA (1999) Edaphic factors and the landscape - scale distributions of tropical rain forest trees. Ecology 80:2662–2675CrossRefGoogle Scholar
  13. Coates DJ, Atkins KA (2001) Priority setting and the conservation of Western Australia's diverse and highly endemic flora. Biol Conserv 97:251–263CrossRefGoogle Scholar
  14. Coley PD, Bryant JP, Chapin FS (1985) Resource availability and plant antiherbivore defense. Science 230:895–899PubMedCrossRefGoogle Scholar
  15. Cowles HC (1901) The physiographic ecology of Chicago and vicinity; a study of the origin, development, and classification of plant societies. Bot Gaz 31:73–108CrossRefGoogle Scholar
  16. Denton MD, Veneklaas EJ, Freimoser FM, Lambers H (2007) Banksia species (Proteaceae) from severely phosphorus-impoverished soils exhibit extreme efficiency in the use and re-mobilization of phosphorus. Plant Cell Environ 30:1557–1565PubMedCrossRefGoogle Scholar
  17. Diamond JM (1975) Assembly of species communities. In: Cody KM, Diamond JM (eds) Ecology and evolution of communities. Harvard University Press, Cambridge, pp 342–444Google Scholar
  18. Drury WH (1956) Bog flats and physiographic processes in the upper Kuskokwim River region, Alaska. Contrib. Gray Herbarium, Harvard UniversityGoogle Scholar
  19. Environment Australia (2000) Revision of the interim biogeographic regionalisation for Australia (IBRA) and development of Version 5.1. Environment Australia, CanberraGoogle Scholar
  20. Faith DP (1992) Conservation evaluation and phylogenetic diversity. Biol Conserv 61:1–10CrossRefGoogle Scholar
  21. Faith DP (2007) Phylogeny and conservation. Syst Biol 56:690–694Google Scholar
  22. Fiedler P (2009) New lessons from ancient history. Plant Soil 322:87–89CrossRefGoogle Scholar
  23. Fischer DT, Still CJ, Williams AP (2009) Significance of summer fog and overcast for drought stress and ecological functioning of coastal California endemic plant species. J Biogeogr 36:783–799CrossRefGoogle Scholar
  24. Fonseca CR, Overton JM, Collins B, Westoby M (2000) Shifts in trait-combinations along rainfall and phosphorus gradients. J Ecol 88:964–977CrossRefGoogle Scholar
  25. Forest F, Grenyer R, Rouget M, Davies TJ, Cowling RM, Faith DP, Balmford A, Manning JC, Proches S, Van Der Bank M, Reeves G, Hedderson TAJ, Savolainen V (2007) Preserving the evolutionary potential of floras in biodiversity hotspots. Nature 445:757–760PubMedCrossRefGoogle Scholar
  26. Fridley JD (2001) The influence of species diversity on ecosystem productivity: how, where, and why? Oikos 93:514–526CrossRefGoogle Scholar
  27. Garten C, Huston M, Thoms CA (1994) Topographic variation of soil nitrogen dynamics at Walker Branch Watershed, Tennessee. For Sci 40:497–512Google Scholar
  28. Gleason HA (1922) The vegetational history of the Middle West. Ann Assoc Am Geogr 12:39–85Google Scholar
  29. Goslee S, Urban DL (2007) The ecodist package for dissimilarity-based analysis of ecological data. J Stat Softw 22:1–19Google Scholar
  30. Grime JP (1973a) Competitive exclusion in herbaceous vegetation. Nature 242:344–347CrossRefGoogle Scholar
  31. Grime JP (1973b) Control of species density in herbaceous vegetation. J Environ Manage 1:151–167Google Scholar
  32. Grime JP (1979) Plant strategies and vegetation processes. Wiley-Interscience, John Wiley & Sons, SomersetGoogle Scholar
  33. Guisan A, Weiss SB, Weiss AD (1999) GLM versus CCA spatial modeling of plant species distribution. Plant Ecol 143:107–122CrossRefGoogle Scholar
  34. Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A (2005) Very high resolution interpolated climate surfaces for global land areas. Int J Climatol 25:1965–1978CrossRefGoogle Scholar
  35. Hopper SD (1979) Biogeographical aspects of speciation in the Southwest Australian flora. Annu Rev Ecol Syst 10:399–422CrossRefGoogle Scholar
  36. Hopper SD (1992) Patterns of diversity at the population and species levels in south-west Australian mediterranean ecosystems. In: Hobbs RJ (ed) Biodiversity of Mediterranean Ecosystems in Australia. Surrey Beatty & Sons, Chipping Norton, pp 27–46Google Scholar
  37. Hopper SD (2009) OCBIL theory: towards an integrated understanding of the evolution, ecology and conservation of biodiversity on old, climatically buffered, infertile landscapes. Plant Soil 322:49–86CrossRefGoogle Scholar
  38. Hopper SD, Gioia P (2004) The Southwest Australian Floristic Region: evolution and conservation of a global hot spot of biodiversity. Annu Rev Ecol Syst 35:623–650CrossRefGoogle Scholar
  39. Hooper DU, Chapin FS, Ewel JJ, Hector A, Inchausti P, Lavorel S, Lawton JH, Lodge DM, Loreau M, Naeem S, Schmid B, Setala H, Symstad AJ, Vandermeer J, Wardle D (2005) Effects of biodiversity on ecosystem functioning: a consensus of current knowledge. Ecol Monogr 75:3–35CrossRefGoogle Scholar
  40. Horwitz P, Bradshaw D, Hopper SD, Davies P, Froend R, Bradshaw F (2008) Hydrological changes escalates risk of ecosystem stress in Australia's threatened biodiversity hotspot. Proc Roy Soc W Aust 91:1–11Google Scholar
  41. Houlder DJ, Hutchinson MF, Nix HA, McMahon JP (2000) ANUCLIM 5.1 user guide. Centre for Resource and Environmental Studies, Australian National University, CanberraGoogle Scholar
  42. Huston MA (1979) A general hypothesis of species diversity. Am Nat 113:81–101CrossRefGoogle Scholar
  43. Huston MA (1980) Soil nutrients and tree species richness in Costa Rican forests. J Biogeogr 7:147–157CrossRefGoogle Scholar
  44. Huston MA (1994) Biological diversity: The coexistence of species on changing landscapes. Cambridge University Press, CambridgeGoogle Scholar
  45. Huston MA (2003) Understanding the effects of fire and other mortality-causing disturbances on species diversity. In: Burrows NC, Abbott I (eds) Fire in South-Western Australian forests: impacts and management. Backhuys Publishers, Leiden, pp 51–84Google Scholar
  46. Huston MA (2004) Management strategies for plant invasions: manipulating productivity, disturbance, and competition. Divers Distrib 10:167–178CrossRefGoogle Scholar
  47. Huston MA, DeAngelis DL (1994) Competition and coexistence: the effects of resource transport and supply rates. Am Nat 144:954–977CrossRefGoogle Scholar
  48. Huston MA, Smith T (1987) Plant succession: life history and competition. Am Nat 130:168–198CrossRefGoogle Scholar
  49. Kembel SW, Ackerley DD, Blomberg S, Cowan P, Helmus M, Morlon H, Webb CO (2009). Picante - R tools for integrating phylogenies and ecologyGoogle Scholar
  50. Koeppen W (1923) Die Klimate der Erde. Walter de Gruyter, BerlinGoogle Scholar
  51. Lambers H, Shane MW (2007) Phosphorus nutrition of Australian proteaceae and cyperaceae: a strategy on old landscapes with prolonged oceanically buffered climates. S Afr J Bot 73:274–275CrossRefGoogle Scholar
  52. Lambers H, Raven JA, Shaver GR, Smith SE (2008) Plant nutrient-acquisition strategies change with soil age. Trends Ecol Evol 23:95–103PubMedCrossRefGoogle Scholar
  53. Lambers H, Mougel C, Jaillard B, Hinsinger P (2009) Plant-microbe-soil interactions in the rhizosphere: an evolutionary perspective. Plant Soil 321:83–115CrossRefGoogle Scholar
  54. Legendre P (1993) Spatial autocorrelation: trouble or new paradigm? Ecology 74:1659–1673CrossRefGoogle Scholar
  55. Leps J, Smilauer P (2003) Multivariate analysis of ecological data using CANOCO. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  56. Melillo JM, Aber JD, Muratore JF (1982) Nitrogen and lignin control of hardwood leaf litter decomposition dynamics. Ecology 63:621–626CrossRefGoogle Scholar
  57. Michalet R, Rolland C, Joud D, Gafta D, Callaway RM (2003) Associations between canopy and understory species increase along a rainshadow gradient in the Alps: Habitat heterogeneity or facilitation? Plant Ecol 165:145–160CrossRefGoogle Scholar
  58. Miller KG, Kominz MA, Browning JV, Wright JD, Mountain GS, Katz ME, Sugarman PJ, Cramer BS, Christie-Blick N, Pekar SF (2005) The Phanerozoic record of global sea-level change. Science 310:1293–1298PubMedCrossRefGoogle Scholar
  59. Mooney HA (1972) The carbon balance of plants. Annu Rev Ecol Syst 3:315–346CrossRefGoogle Scholar
  60. Mucina L, Wardell-Johnson G (2011) Landscape age and soil fertility, climate stability, and fire: a new conceptual framework for evolutionary ecology. Plant Soil. doi: 10.1007/s11104-011-0734-x
  61. Myers N, Mittermeier RA, Mittermeier CG, da Fonseca GAB, Kent J (2000) Biodiversity hotspots for conservation priorities. Nature 403:853–858PubMedCrossRefGoogle Scholar
  62. Odum P (1969) The strategy of ecosystem development. Science 164:262–270PubMedCrossRefGoogle Scholar
  63. Ohmann JL, Spies TA (1998) Regional gradient analysis and spatial pattern of woody plant communities of Oregon forests. Ecol Monogr 68:151–182CrossRefGoogle Scholar
  64. Pastor J, Post W (1986) Influence of climate, soil moisture, and succession on forest carbon and nitrogen cycles. Biogeochemistry 2:3–27CrossRefGoogle Scholar
  65. Pate JS, Verboom WH (2009) Contemporary biogenic formation of clay pavements by eucalypts: further support for the phytotarium concept. Ann Bot 103:673–685PubMedCrossRefGoogle Scholar
  66. Pate JS, Verboom WH, Galloway PD (2001) Co-occurrence of Proteaceae, laterite and related oligotrophic soils: coincidental associations or causative inter-relationships? Aust J Bot 49:529–560CrossRefGoogle Scholar
  67. Pausas JG, Verdu M (2008) Fire reduces morphospace occupation in plant communitites. Ecology 89:2181–2186PubMedCrossRefGoogle Scholar
  68. Poot P, Lambers H (2003) Are trade-offs in allocation pattern and root morphology related to species abundance? A congeneric comparison between rare and common species in the south-western Australian flora. J Ecol 91:58–67CrossRefGoogle Scholar
  69. Poot P, Lambers H (2008) Shallow-soil endemics: adaptive advantages and constraints of a specialized root-system morphology. New Phytol 178:371–381PubMedCrossRefGoogle Scholar
  70. Post WM, Emanuel WR, Zinke PJ, Stangenberger AG (1982) Soil carbon pools and world life zones. Nature 298:156–159CrossRefGoogle Scholar
  71. Raven PH, Axelrod DI (1978) Origin and relationships of the California flora. University of California Press, BerkeleyGoogle Scholar
  72. Richardson S, Peltzer D, Allen R, McGlone M, Parfitt R (2004) Rapid development of phosphorus limitation in temperate rainforest along the Franz Josef soil chronosequence. Oecologia 139:267–276PubMedCrossRefGoogle Scholar
  73. Shane MW, Lambers H (2006) Systemic suppression of cluster-root formation and net P uptake rates in Grevillea crithmifolia at elevated P supply: a proteacean with resistance for developing symptoms of 'P toxicity'. J Exp Bot 57:413–423PubMedCrossRefGoogle Scholar
  74. Shane MW, Cramer MD, Lambers H (2008) Root of edaphically controlled Proteaceae turnover on the Agulhas Plain, South Africa: phosphate uptake regulation and growth. Plant Cell Environ 31:1825–1833PubMedCrossRefGoogle Scholar
  75. ter Braak CJF, Smilauer P (2002) Canoco 4.5 reference manual and CanoDraw for Windows user's guide: Software for canonical community ordination, version 4.5. Microcomputer Power, IthacaGoogle Scholar
  76. Verboom GA, Dreyer LL, Savolainen V (2009) Understanding the origins and evolution of the world's biodiversity hotspots: the biota of the African 'Cape Floristic Region' as a case study. Mol Phylogenet Evol 51:1–4PubMedCrossRefGoogle Scholar
  77. Walker LR, del Moral R (2003) Primary succession and ecosystem rehabilitation. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  78. Walker J, Reddell P (2007) Retrogressive succession and restoration on old landscapes. In: Walker LR, Walker J, Hobbs RJ (eds) Linking restoration and ecological succession. Springer, New York, pp 69–89CrossRefGoogle Scholar
  79. Walker TW, Syers JK (1976) The fate of phosphorus during pedogenesis. Geoderma 15:1–19CrossRefGoogle Scholar
  80. Walker J, Thompson CH, Fergus JF, Tunstall BR (1981) Plant succession and soil development in coastal sand dunes of subtropical eastern Australia. In: West DC, Shugart HH, Botkin DB (eds) Forest Succession: Concepts and Applications. Springer, New York, pp 107–131Google Scholar
  81. Wardle DA (2009) Aboveground and belowground consequences of long-term forest retrogression in the timeframe of millennia and beyond. In: Wirth C, Gleixner G, Heimann M, Wardle DA (eds) Old-growth forests. Springer, Berlin, pp 193–209CrossRefGoogle Scholar
  82. Wardell-Johnson G, Williams M (1996) A floristic survey of the Tingle Mosaic, south-western Australia. Proc Roy Soc W Aust 79:249–276Google Scholar
  83. Wardell-Johnson G, Horwitz P (2000) The recognition of heterogeneity and restricted endemism in the management of forested ecosystems in south-western Australia. Aust For 63:218–225Google Scholar
  84. Wardle DA, Bardgett RD, Klironomos JN, Setälä H, van der Putten WH, Wall DH (2004) Ecological linkages between aboveground and belowground biota. Science 304:1629–1633PubMedCrossRefGoogle Scholar
  85. Wardle DA, Bardgett RD, Walker LR, Peltzer DA, Lagerström A (2008) The response of plant diversity to ecosystem retrogression: evidence from contrasting long-term chronosequences. Oikos 117:93–103CrossRefGoogle Scholar
  86. Webb CO, Donoghue MJ (2005) Phylomatic:tree retrieval for applied phylogenetics. Mol Ecol Notes 5:181–183CrossRefGoogle Scholar
  87. Webb CO, Ackerley DD, Kembel SW (2008) Phylocom: software for the analysis of phylogenetic community structure and character evolution. Bioinformatics 24:2098–2100PubMedCrossRefGoogle Scholar
  88. Wikstrom N, Savolainen V, Chase MW (2001) Evolution of the angiosperms: calibrating the family tree. Proc R Soc Lond B 268:2211–2220CrossRefGoogle Scholar
  89. Yesson C, Culham A (2006) Phyloclimatic modeling: combining phylogenetics and bioclimatic modeling. Syst Biol 55:785–802PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.School of Geography, Planning and Environmental ManagementThe University of QueenslandSt LuciaAustralia
  2. 2.Institute for Biodiversity and Climate, School of ScienceCurtin UniversityBentleyAustralia

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