Skip to main content

Advertisement

Log in

Unresolved native range taxonomy complicates inferences in invasion ecology: Acacia dealbata Link as an example

  • Invasion Note
  • Published:
Biological Invasions Aims and scope Submit manuscript

Abstract

Elaborate and expensive endeavours are underway worldwide to understand and manage biological invasions. However, the success of such efforts can be jeopardised due to taxonomic uncertainty. We highlight how unresolved native range taxonomy can complicate inferences in invasion ecology using the invasive tree Acacia dealbata in South Africa as an example. Acacia dealbata is thought to comprise two subspecies based on morphological characteristics and environmental requirements within its native range in Australia: ssp. dealbata and spp. subalpina. Biological control is the most promising option for managing invasive A. dealbata populations in South Africa, but it remains unknown which genetic/taxonomic entities are present in the country. Resolving this question is crucial for selecting appropriate biological control agents and for identifying areas with the highest invasion risk. We used species distribution models (SDMs) and phylogeographic approaches to address this issue. The ability of subspecies-specific and overall species SDMs to predict occurrences in South Africa was also explored. Furthermore, as non-overlapping bioclimatic niches between the two taxonomic entities may translate into evolutionary distinctiveness, we also tested genetic distances between the entities using DNA sequencing data and network analysis. Both approaches were unable to differentiate the two putative subspecies of A. dealbata. However, the SDM approach revealed a potential niche shift in the non-native range, and DNA sequencing results suggested repeated introductions of different native provenances into South Africa. Our findings provide important information for ongoing biological control attempts and highlight the importance of resolving taxonomic uncertainties in invasion ecology.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Allouche O, Tsoar A, Kadmon R (2006) Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). J Appl Ecol 43:1223–1232

    Article  Google Scholar 

  • Araújo MB, New M (2007) Ensemble forecasting of species distributions. Trends Ecol Evol 22:42–47

    Article  PubMed  Google Scholar 

  • Castro-Díez P, Godoy O, Saldana A, Richardson DM (2011) Predicting invasiveness of Australian acacias on the basis of their native climatic affinities, life history traits and human use. Divers Distrib 17:934–945

    Article  Google Scholar 

  • Early R, Bradley BA, Dukes JS, Lawler JJ, Olden JD, Blumenthal DM, Gonzalez P, Grosholz ED, Ibañez I, Miller LP, Sorte CJB, Tatem AJ (2016) Global threats from invasive alien species in the twenty-first century and national response capacities. Nat Commun 7:12485

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Ensing DJ, Moffat CE, Pither J (2013) Taxonomic identification errors generate misleading ecological niche model predictions of an invasive hawkweed. Botany 91:137–147

    Article  Google Scholar 

  • Gallien L, Thuiller W, Fort N, Boleda M, Alberto FJ, Rioux D, Lainé J, Savergne S (2016) Is there any evidence for rapid, genetically-based, climatic niche expansion in the invasive common ragweed? PLoS ONE 11:e0152867

    Article  PubMed  PubMed Central  Google Scholar 

  • Guisan A, Zimmermann NE (2000) Predictive habitat distribution models in ecology. Ecol Model 135:147–186

    Article  Google Scholar 

  • Henderson L (2007) Invasive, naturalized and casual alien plants in southern Africa: a summary based on the Southern African Plant Invaders Atlas (SAPIA). Bothalia 37:215–248

    Article  Google Scholar 

  • Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A (2005) Very high resolution interpolated climate surface for global land areas. Int J Climatol 25:1965–1978

    Article  Google Scholar 

  • Holmes PM, Richardson DM, Esler KJ, Witkowski ETF, Fourie S (2005) A decision-making framework for restoring riparian zones degraded by invasive alien plants in South Africa. S Afr J Sci 101:553–564

    Google Scholar 

  • Impson FAC, Kleinjan CA, Hoffmann JH, Post JM, Wood AR, Moran VC (2011) Biological control of Australian Acacia species and Paraserianthes lophantha (Willd.) Nielsen (Mimosaceae) in South Africa. Afr Entomol 19:186–207

    Article  Google Scholar 

  • Kodela PG, Tindale MD (2001) Acacia dealbata subsp. subalpina (Fabaceae: Mimosiodeae), a new species from south-eastern Australia. Telopea 9:319–322

    Article  Google Scholar 

  • Le Roux JJ, Brown GK, Byrne M, Ndlovu J, Richardson DM, Thompson GD, Wilson JRU (2011) Phylogeographic consequences of different introduction histories of invasive Australian Acacia species and Paraserianthes lophantha (Fabaceae) in South Africa. Divers Distrib 17:861–871

    Article  Google Scholar 

  • Marmion M, Parviainen M, Luoto M, Heikkinen RK, Thuiller W (2009) Evaluation of consensus methods in predictive species distribution modelling. Divers Distrib 15:59–69

    Article  Google Scholar 

  • Maslin BR, McDonald MW (2004) Acacia search. Evaluation of Acacia as a woody crop option for southern Australia. Rural Industries Research and Development Corporation, Canberra

    Google Scholar 

  • Ndlovu J, Richardson DM, Wilson JRU, O’Leary M, Le Roux JJ (2013) Elucidating the native sources of an invasive tree species, Acacia pycnantha, reveals unexpected native range diversity and structure. Ann Bot 111:895–904

    Article  PubMed  PubMed Central  Google Scholar 

  • Paradis E (2010) pegas: an R package for population genetics with an integrated-modular approach. Bioinformatics 26:419–420

    Article  CAS  PubMed  Google Scholar 

  • Paterson ID, Hoffmann JH, Klein H, Mathenge CW, Neser S, Zimmermann HG (2011) Biological control of Cactaceae in South Africa. Afr Entomol 19:230–246

    Article  Google Scholar 

  • Petit RJ, El Mousadik A, Pons O (1998) Identifying populations for conservation on the basis of genetic markers. Conserv Biol 12:844–855

    Article  Google Scholar 

  • Poynton RJ (2009) Tree planting in southern Africa. Other genera, vol 3. Department of Agriculture, Forestry and Fisheries, Pretoria, South Africa

    Google Scholar 

  • Pyšek P, Hulme PE, Meyerson LA, Smith GF, Boatwright JS, Crouch NR, Figueiredo E, Foxcroft LC, Jarošik V, Richardson DM, Suda J, Wilson JRU (2013) Hitting the right target: taxonomic challenges for, and of, plant invasions. AoB PLANTS 5:plt042

  • R Core Team (2016) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/

  • Rejmánek M, Richardson DM (2013) Trees and shrubs as invasive alien species—2013 update of the global database. Divers Distrib 19:1093–1094

    Article  Google Scholar 

  • 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 Syst 10:161–177

    Article  Google Scholar 

  • Robertson MP, Visser V, Hui C (2016) Biogeo: an R package for assessing and improving data quality of occurrence record datasets. Ecography 39:394–401

    Article  Google Scholar 

  • Saltonstall K (2002) Cryptic invasion by a non-native genotype of the common reed, Phragmites australis, into North America. Proc Natl Acad Sci USA 99:2445–2449

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Swets KA (1988) Measuring the accuracy of diagnostic systems. Science 240:1285–1293

    Article  CAS  PubMed  Google Scholar 

  • Thompson GD, Robertson MP, Webber BL, Richardson DM, Le Roux JJ, Wilson JRU (2011) Predicting the subspecific identity of invasive species using distribution models: Acacia saligna as an example. Divers Distrib 17:1001–1014

    Article  Google Scholar 

  • Thompson GD, Bellstedt DU, Richardson DM, Wilson JRU, Le Roux JJ (2015) A tree well travelled: global genetic structure of the invasive tree Acacia saligna. J Biogeogr 42:305–314

    Article  Google Scholar 

  • Thuiller W, Georges D, Engler R, Breiner F (2016) biomod2: Ensemble platform for species distribution modeling. R package version 3.3-7. https://CRAN.R-project.org/package=biomod2

  • Van Wilgen BW, Dyer C, Hoffmann JH, Ivey P, Le Maitre DC, Richardson DM, Rouget M, Wannenburgh A, Wilson JRU (2011) National-scale strategic approaches for managing introduced plants: insights from Australian acacias in South Africa. Divers Distrib 17:1060–1075

    Article  Google Scholar 

  • Wardill TJ, Graham GC, Zalucki M, Palmer WA, Playford J, Scott KD (2005) The importance of species identity in the biocontrol process: identifying the subspecies of Acacia nilotica (Leguminosae: Mimosoideae) by genetic distance and the implications for biological control. J Biogeogr 32:2145–2159

    Article  Google Scholar 

Download references

Acknowledgements

Funding was provided by the DST-NRF Centre of Excellence for Invasion Biology and the Working for Water Programme through their collaborative research project on “Integrated Management of invasive alien species in South Africa” and a Subcommittee B grant from Stellenbosch University (to JLR), and the Drakenstein Trust. Additional financial support was provided by the DST-NRF Centre of Excellence for Invasion Biology, Stellenbosch University, and the National Research Foundation of South Africa (Grant Nos. 85417 to DMR). We thank C. Gairifo, J. Ndlovu, and J.R.U. Wilson for collecting and/or providing samples analyzed in this study, and H. Kaplan for supplying occurrence records listed in the Southern African Plant Invaders Atlas. We are grateful to M.J. Koordom and P.H. Du Preez for assistance in the laboratory. We also thank the two anonymous referees whose suggestions helped to clarify and improve this manuscript significantly.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Heidi Hirsch.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 941 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hirsch, H., Gallien, L., Impson, F.A.C. et al. Unresolved native range taxonomy complicates inferences in invasion ecology: Acacia dealbata Link as an example. Biol Invasions 19, 1715–1722 (2017). https://doi.org/10.1007/s10530-017-1381-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10530-017-1381-9

Keywords

Navigation