Biodiversity and Conservation

, Volume 20, Issue 12, pp 2729–2743 | Cite as

Predicting Acacia invasive success in South Africa on the basis of functional traits, native climatic niche and human use

  • P. Castro-Díez
  • T. Langendoen
  • L. Poorter
  • A. Saldaña-López
Original Paper

Abstract

Australian Acacia species have been widely planted worldwide for different purposes. Some of them have spread and altered the native ecosystem functions to the extent of being considered economic and ecologic threats. Understanding factors that allow these species to become invasive is an important step for mitigating or preventing the damaging effects of invasive species. We aimed to test the importance of native niche climatic width and average, plant functional traits (plant height, leaf area, seed mass and length of flowering season) and anthropogenic factors (number of uses, time since introduction) for predicting invasive success, in terms of abundance and range, of 16 Australian Acacia species in South Africa. By using multiple regression analysis, we constructed one different model for each type of predicting factors. When more than two predicting variables were available in a category, they were reduced to a maximum of two predictors by means of principal component analysis. Acacia spp. abundance and range in South Africa were highly correlated. The anthropogenic model (using number of human uses as predictor) was the best to explain both abundance and range of acacias in South Africa. This may be attributed to the importance of humans as dispersal vectors and to the relatively recent introduction of these species (circa 150 years). The functional traits model was the next best model explaining Acacia range, but not abundance, acacias with higher height and leaf area being more widespread in South Africa. Taller plants may disperse their seeds more efficiently by attracting dispersal agents, such as birds. The climatic affinities model was the following in the ranking explaining both range and abundance, acacias coming from moister, cooler and less seasonal regions in Australia being more successful in South Africa. This pattern may be attributed to the fast growth genotype generally selected for under low climatic stress conditions. Acacias with wide climatic niche in the native region were also more widespread and abundant in South Africa, probably because the same traits that allow them to be widespread in Australia, also contribute to overcome the climatic filters to establish throughout South Africa. This study provides managers with tools to identify those exotic Acacia ssp. having more chances to become successful invaders in South Africa.

Keywords

Abundance Australian acacia Climatic amplitude Exotic range Generalised linear models Human use Plant functional traits Residence time 

Abbreviations

FL

Length of flowering time

H

Plant mean height

LA

Leaf area

No.uses

Number of uses

Pm.range

Annual precipitation range

Pm

Annual precipitation

Pseas.range

Precipitation seasonality range

Pseas

Precipitation seasonality

RT

Mean residence time

SM

Mean seed mass

Tm.range

Annual temperature range

Tm

Annual temperature

Tseas.range

Temperature seasonality range

Tseas

Temperature seasonality

References

  1. AGIS (2007) Agricultural Geo-Referenced Information System. http://www.agis.agric.za/wip. Accessed on May 2009
  2. Albright TP, Chen H, Chen L, Qinfeng G (2010) The ecological niche and reciprocal prediction of the disjunct distribution of an invasive species: the example of Ailanthus altissima. Biol Invasions 12:2413–2427CrossRefGoogle Scholar
  3. Alpert P, Bone E, Holzapfel C (2000) Invasiveness, invasibility and the role of environmental stress in the spread of non-native plants. Perspect Plant Ecol 3:52–66CrossRefGoogle Scholar
  4. Alston KP, Richardson DM (2006) The roles of habitat features, disturbance, and distance from putative source populations in structuring alien plant invasions at the urban/wildland interface on the Cape Peninsula, South Africa. Biol Conserv 132:183–198CrossRefGoogle Scholar
  5. Breton C, Guerin J, Ducatillion C, Medail F, Kull CA, Berville A (2008) Taming the wild and ‘wilding’ the tame: tree breeding and dispersal in Australia and the Mediterranean. Plant Sci 175:197–205CrossRefGoogle Scholar
  6. Burnham KP, Anderson DR (2002) Model selection and multimodel inference. Springer, New YorkGoogle Scholar
  7. Burns JH (2004) A comparison of invasive and non-invasive dayflowers (Commelinaceae) across experimental nutrient and water gradients. Divers Distrib 10:387–397CrossRefGoogle Scholar
  8. Cadotte MW, Lovett-Doust J (2001) Ecological and taxonomic differences between native and introduced plants of southwestern Ontario. Ecoscience 8:230–238Google Scholar
  9. Cadotte MW, Murray BR, Lovett-Doust J (2006a) Ecological patterns and biological invasions: using regional species inventories in macroecology. Biol Invasions 8:809–821CrossRefGoogle Scholar
  10. Cadotte MW, Murray BR, Lovett-Doust J (2006b) Evolutionary and ecological influences of plant invader success in the flora of Ontario. Ecoscience 13:388–395CrossRefGoogle Scholar
  11. Castro SA, Figueroa JA, Munoz-Schick M, Jaksic FM (2005) Minimum residence time, biogeographical origin, and life cycle as determinants of the geographical extent of naturalized plants in continental Chile. Divers Distrib 11:183–191CrossRefGoogle Scholar
  12. Castro-Díez P, Godoy O, Saldaña A, Richardson DM (2011) Predicting invasiveness of Australian Acacia species on the basis of their native climatic affinities, life-history traits and human use. Divers Distrib (in press)Google Scholar
  13. Daehler CC (2003) Performances’s comparisons of co-ocurring native and alien invasive plants: implications for conservation and restoration. Annu Rev Ecol Syst 34:183–211CrossRefGoogle Scholar
  14. Dawson W, Burslem D, Hulme PE (2009) Factors explaining alien plant invasion success in a tropical ecosystem differ at each stage of invasion. J Ecol 97:657–665CrossRefGoogle Scholar
  15. Dennill GB, Donnelly D (1991) Biological-control of Acacia longifolia and related weed species (Fabaceae) in South-Africa. Agric Ecosyst Environ 37:115–135CrossRefGoogle Scholar
  16. Field A (2005) Discovering statistics using SPSS. Sage publications, London, p 779Google Scholar
  17. Forman J (2003) The introduction of American plant species into Europe: issues and consequences. In: Child LE, Brock JH, Brundu G, Prach K, Pyšek P (eds) Plant invasions: ecological threats and management solutions. Backhuys Publishers, Leiden, The Netherlands, pp 17–39Google Scholar
  18. Gaston KJ (1998) Species-range size distributions: products of speciation, extinction and transformation. Philos Trans Roy Soc B 353:219–230CrossRefGoogle Scholar
  19. Gibson M, Fuentes A, Johnson SD, Millar M, Pauw A, Richardson DM, Rodger J, Wandrag E (2011) Reproductive ecology of Australian acacias: fundamental mediator of invasive success? Divers Distrib (in press)Google Scholar
  20. Glyphis JP, Milton SJ, Siegfried WR (1981) Dispersal of Acacia cyclops by birds. Oecologia 48:138–141CrossRefGoogle Scholar
  21. Goodwin BJ, McAllister AJ, Fahrig L (1999) Predicting invasiveness of plant species based on biological information. Conserv Biol 13:422–426CrossRefGoogle Scholar
  22. Grime JP (1988) The C-S-R model of primary plant strategies-origins, implications and tests. In: Gottlieb LD, Jain SK (eds) Plant evolutionary biology. Chapman and Hall, Cambridge, pp 371–393CrossRefGoogle Scholar
  23. Grotkopp E, Rejmánek M (2007) High seedling relative growth rate and specific leaf area are traits of invasive species: phylogenetically independent contrasts of woody angiosperms. Am J Bot 94:526–532PubMedCrossRefGoogle Scholar
  24. Hamilton MA, Murray BR, Cadotte MW, Hose GC, Baker AC, Harris CJ, Licari D (2005) Life-history correlates of plant invasiveness at regional and continental scales. Ecol Lett 8:1066–1074CrossRefGoogle Scholar
  25. Henderson L (2007) Invasive, naturalized and casual alien plants in southern Africa: a summary based on the Southern African Plant Invaders Atlas (SAPIA). Bothalia 37:215–248Google Scholar
  26. Higgins SI, Richardson DM (1999) Predicting plant migration rates in a changing world: the role of long-distance dispersal. Am Nat 153:464–475CrossRefGoogle Scholar
  27. Hijmans RJ, Cameron S, Parra J, Jones P, Jarvis A, Richardson K (2009) WorldClim. Global climate data. Version 1.4 (release 3). http://www.worldclim.org/. Accessed on July 2008
  28. Kolar CS, Lodge DM (2001) Progress in invasion biology: predicting invaders. Trends Ecol Evol 16:199–204PubMedCrossRefGoogle Scholar
  29. Küster EC, Kühn I, Bruelheide H, Klotz S (2008) Trait interactions help explain plant invasion success in the German flora. J Ecol 96:860–868CrossRefGoogle Scholar
  30. Lake JC, Leishman MR (2004) Invasion success of exotic plants in natural ecosystems: the role of disturbance, plant attributes and freedom from herbivores. Biol Conserv 117:215–226CrossRefGoogle Scholar
  31. Le Maitre DC, van Wilgen BW, Chapman RA, McKelly DH (1996) Invasive plants and water resources in the Western Cape province, South Africa: modeling the consequences of a lack of management. J Appl Ecol 33:161–172CrossRefGoogle Scholar
  32. Legendre P, Legendre L (1998) Numerical ecology. Elsevier, Amsterdam, p 853Google Scholar
  33. Leishman MR, Haslehurst T, Ares A, Baruch Z (2007) Leaf trait relationships of native and invasive plants: community- and global-scale comparisons. New Phytol 176:635–643PubMedCrossRefGoogle Scholar
  34. Lloret F, Medail F, Brandu G, Hulme PE (2004) Local and regional abundance of exotic plant species on Mediterranean islands: are species traits important? Global Ecol Biogeogr 13:37–45CrossRefGoogle Scholar
  35. Lloret F, Médail F, Brundu G, Camarda I, Moragues E, Rita J, Lambdon P, Hulme PE (2005) Species attributes and invasion success by alien plants on Mediterranean islands. J Ecol 93:512–520CrossRefGoogle Scholar
  36. Lockwood JL, Cassey P, Blackburn T (2005) The role of propagule pressure in explaining species invasions. Trends Ecol Evol 20:223–228PubMedCrossRefGoogle Scholar
  37. Mack RN, Simberloff D, Lonsdale WM, Evans H, Clout M, Bazzaz FA (2000) Biotic invasions: causes, epidemiology, global consequences, and control. Ecol Appl 10:689–710CrossRefGoogle Scholar
  38. Moll EJ (1978) Blackwood Acacia melanoxylon R. Br. In: Stirton CH (ed) Plant invaders, beautiful but dangerous. ABC Press, Cape Town, South Africa, pp 52–55Google Scholar
  39. Mooney HA, Hobbs RJ (2000) Invasive species in a changing world. Island Press, Washington, p 457Google Scholar
  40. Morris MJ (1991) The use of plant pathogens for biological weed control in South Africa. Agr Ecosyst Environ 37:239–255CrossRefGoogle Scholar
  41. Nel JL, Richardson DM, Rouget M, Mgidi TN, Mdzeke N, Le Maitre DC, van Wilgen BW, Schonegevel L, Henderson L, Neser S (2004) A proposed classification of invasive alien plant species in South Africa: towards prioritizing species and areas for management action. S Afr J Sci 100:53–64Google Scholar
  42. Olden JD, Rooney TP (2006) On defining and quantifying biotic homogenization. Global Ecol Biogeogr 15:113–120CrossRefGoogle Scholar
  43. Peres-Neto PR, Legendre P, Dray S, Borcard D (2006) Variation partitioning of species data matrices: estimation and comparison of fractions. Ecology 87:2614–2625PubMedCrossRefGoogle Scholar
  44. Pimentel D (2005) Aquatic nuisance species in the New York State Canal and Hudson River systems and the Great Lakes Basin: an economic and environmental assessment. Environ Manage 35:692–701PubMedCrossRefGoogle Scholar
  45. Prinzing A, Durka W, Klotz S, Brandl R (2002) Which species become aliens? Evol Ecol Res 4:385–405Google Scholar
  46. Pyšek P, Richardson DM (2007) Traits associated with invasiveness in alien plants: where do we stand? In: Nentwig W (ed) Biol invasions. Springer-Verlag, Berlin, pp 97–125Google Scholar
  47. Rejmánek M, Richardson DM (1996) What attributes make some plant species more invasive? Ecology 77:1655–1661CrossRefGoogle Scholar
  48. Richardson DM (2006) Pinus: a model group for unlocking the secrets of alien plant invasions? Preslia 78:375–388Google Scholar
  49. Richardson DM, Kluge RL (2008) Seed banks of invasive Australian Acacia species in South Africa: role in invasiveness and options for management. Perspect Plant Ecol 10:161–177CrossRefGoogle Scholar
  50. Richardson DM, Pyšek P, Rejmánek M, Barbour MG, Panetta FD, West CJ (2000) Naturalization and invasion of alien plants: concepts and definitions. Divers Distrib 6:93–107CrossRefGoogle Scholar
  51. Rouget M, Richardson DM (2003) Understanding patterns of plant invasion at different spatial scales: quantifying the roles of environment and propagule pressure. In: Child L, Brock JH, Brundu G, Prach K, Pysek P, Wade PM, Child L, Brock JH, Brundu G, Prach K, Pysek P, Wade PM, Williamson M (eds) Plant invasions: ecological threats and management solutions. Backhuys, LeidenGoogle Scholar
  52. Rouget M, Richardson DM, Nel JL, Le Maitre DC, Egoh B, Mgidi T (2004) Mapping the potential ranges of major plant invaders in South Africa, Lesotho and Swaziland using climatic suitability. Divers Distrib 10:475–484CrossRefGoogle Scholar
  53. Scott JK, Panetta FD (1993) Predicting the Australian weed status of Southern African plants. J Biogeogr 20:87–93CrossRefGoogle Scholar
  54. Shaughnessy GL (1986) A case study of some woody plant introductions to the Cape Town area. In: Macdonald IAW, Kruger FJ, Ferrar AA (eds) The ecology and management of biological invasions in Southern Africa. Oxford University Press, Cape Town, South Africa, pp 37–46Google Scholar
  55. Thuiller W, Richardson DM, Pyšek P, Midgley GF, Hughes GO, Rouget M (2005) Niche-based modelling as a tool for prediction the risk of alien plant invasions at a global scale. Global Change Biol 11:2234–2250CrossRefGoogle Scholar
  56. Thuiller W, Richardson DM, Rouget M, Proches S, Wilson JRU (2006) Interactions between environment, species traits, and human uses describe patterns of plant invasions. Ecology 87:1755–1769PubMedCrossRefGoogle Scholar
  57. Van Kleunen M, Johnson SD (2007) South African Iridaceae with rapid and profuse seedling emergence are more likely to become naturalized in other regions. J Ecol 95:674–681CrossRefGoogle Scholar
  58. Van Kleunen M, Johnson SD, Fischer M (2007) Predicting naturalization of Southern African Iridaceae in other regions. J Appl Ecol 44:594–603CrossRefGoogle Scholar
  59. Van Wilgen BW, Le Maitre DC, Cowling RM (1998) Ecosystem services, efficiency, sustainability and equity: South Africa’s working for water programme. Trends Ecol Evol 13:378–378PubMedCrossRefGoogle Scholar
  60. Weber E (2003) Invasive species of the world: a reference guide to environmental weeds. CABI, OxfordGoogle Scholar
  61. Welk E (2004) Constraints in range predictions of invasive plant species due to non-equilibrium distribution patterns: purple loosestrife (Lythrum salicaria) in North America. Ecol Model 179:551–567CrossRefGoogle Scholar
  62. Williamson M, Fitter A (1996) The varying success of invaders. Ecology 77:1661–1666CrossRefGoogle Scholar
  63. Yelenik SG, Stock WD, Richardson DM (2004) Ecosystem level impacts of invasive Acacia saligna in the South African fynbos. Restor Ecol 12:44–51CrossRefGoogle Scholar
  64. Yelenik SG, Stock WD, Richardson DM (2007) Functional group identity does not predict invader impacts: differential effects of nitrogen-fixing exotic plants on ecosystem function. Biol Invasions 9:117–125CrossRefGoogle Scholar
  65. Zheng YL, Feng YL, Liu WX, Liao ZY (2009) Growth, biomass allocation, morphology, and photosynthesis of invasive Eupatorium adenophorum and its native congeners grown at four irradiances. Plant Ecol 203:263–271CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • P. Castro-Díez
    • 1
  • T. Langendoen
    • 1
    • 2
  • L. Poorter
    • 2
  • A. Saldaña-López
    • 1
  1. 1.Departamento de EcologíaUniversidad de Alcalá, Campus UniversitarioAlcalá de Henares, MadridSpain
  2. 2.Forest Ecology and Management Group, Centre for Ecosystem Studies, Wageningen University and Research CentreWageningenThe Netherlands

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