Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
Australian Journal of Botany Australian Journal of Botany Society
Southern hemisphere botanical ecosystems
RESEARCH ARTICLE

Where they are, why they are there, and where they are going: using niche models to assess impacts of disturbance on the distribution of three endemic rare subtropical rainforest trees of Macadamia (Proteaceae) species

M. Powell A , A. Accad B and A. Shapcott A C
+ Author Affiliations
- Author Affiliations

A Genecology Research Centre, Faculty of Science, Health, Education and Engineering, University of the Sunshine Coast, Maroochydore DC, Qld 4558, Australia.

B Queensland Herbarium, Department of Science, Information, Technology, Innovation and the Arts, Brisbane Botanical Gardens, Mt Coot-tha Road, Toowong, Qld 4066, Australia.

C Corresponding author. Email: ashapcot@usc.edu.au

Australian Journal of Botany 62(4) 322-334 https://doi.org/10.1071/BT14056
Submitted: 13 September 2013  Accepted: 23 June 2014   Published: 26 August 2014

Abstract

Species within the Macadamia genus (Proteaceae) are rare and threatened narrowly distributed inhabitants of subtropical lowland rainforests of eastern Australia. Despite their strong cultural links and economic importance as a source of germplasm for the macadamia nut industry, a comprehensive assessment of factors contributing to their conservation status, or the potential impacts of climate change, is lacking. We used maximum entropy models to identify the respective niche of the following three Macadamia species with overlapping extant distributions: M. integrifolia, M. ternifolia and M. tetraphylla. We used model predictions to identify and prioritise respective areas of habitat, together with change in geographic distribution of habitats between 1990 and 2070 climates. Results reveal considerable overlap in the geographic extent of habitat among the three species; however, the extent of current occupation of habitat by any individual species is limited. Relatively high levels of clearing of ecological communities strongly associated with M. integrifolia or M. ternifolia have occurred within the extent of their respective habitats, with M. tetraphylla less affected within the Queensland extent of its range. Response to climate change varies among the three species, with a general trend of shift in respective niche to areas that currently experience relatively high precipitation and lower temperature regimes.

Additional keywords: climate change, spatial predictions, threatened species, vegetation management.


References

Accad A, Neil DT (2006) Modelling pre-clearing vegetation distribution using GIS-integrated statistical, ecological and data models: a case study from the wet tropics of northeastern Australia. Ecological Modelling 198, 85–100.
Modelling pre-clearing vegetation distribution using GIS-integrated statistical, ecological and data models: a case study from the wet tropics of northeastern Australia.Crossref | GoogleScholarGoogle Scholar |

Accad A, Neldner VJ, Wilson BA, Niehus RE (2013) ‘Remnant vegetation in Queensland. Analysis of remnant vegetation 1997–2011, including regional ecosystem information.’ (Queensland Department of Science, Information Technology, Innovation and the Arts: Brisbane) Available at http://www.ehp.qld.gov.au/ecosystems/remnant-vegetation/index.html [Verified 6 February 2014]

Araújo M, Guisan A (2006) Five (or so) challenges for species distribution modelling. Journal of Biogeography 33, 1677–1688.
Five (or so) challenges for species distribution modelling.Crossref | GoogleScholarGoogle Scholar |

Austin MP (2007) Species distribution models and ecological theory: a critical assessment and some possible new approaches. Ecological Modelling 200, 1–19.
Species distribution models and ecological theory: a critical assessment and some possible new approaches.Crossref | GoogleScholarGoogle Scholar |

Bellard C, Bertelsmeier C, Leadley P, Thuiller W, Courchamp F (2012) Impacts of climate change on the future of biodiversity. Ecology Letters 15, 365–377.
Impacts of climate change on the future of biodiversity.Crossref | GoogleScholarGoogle Scholar |

Broennimann O, Treier UA, Müller-Schärer H, Thuiller W, Peterson AT, Guisan A (2007) Evidence of climatic niche shift during biological invasion. Ecology Letters 10, 701–709.
Evidence of climatic niche shift during biological invasion.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD2sznvVWkuw%3D%3D&md5=da130f14509c34a268e9cde3ede32dd5CAS | 17594425PubMed |

Catterall CP, Storey RJ, Kingston MB (1997) ‘Reality versus rhetoric: a case study monitoring regional deforestation. In ‘Conservation outside nature reserves’. (Eds P Hale, D Lamb) pp. 367–377. (Centre for Conservation Biology, University of Queensland: Brisbane)

Costello G, Gregory M, Donatiu P (2009) Southern Macadamia Species Recovery Plan 2008–2012. Report to Department of the Environment and Water Resources, Canberra by Horticulture Australia Limited, Sydney. Available at http://www.environment.gov.au/resource/southern- Macadamia-species-recovery-plan [Verified 6 February 2014]

Dettmann ME, Jarzen DM (1996) Pollen of proteaceous-type from latest Cretaceous sediments, southeastern Australia. Alcheringa 20, 103–160.
Pollen of proteaceous-type from latest Cretaceous sediments, southeastern Australia.Crossref | GoogleScholarGoogle Scholar |

Dettmann ME, Jarzen DM (1998) The early history of the Proteaceae in Australia: the pollen record. Australian Systematic Botany 11, 401–438.
The early history of the Proteaceae in Australia: the pollen record.Crossref | GoogleScholarGoogle Scholar |

Elith J, Kearney M, Phillips S (2010) The art of modelling range-shifting species. Methods in Ecology and Evolution 1, 330–342.
The art of modelling range-shifting species.Crossref | GoogleScholarGoogle Scholar |

Elith J, Phillips SJ, Hastie T, Dudı’k M, Chee YE, Yates CY (2011) A statistical explanation of MaxEnt for ecologists. Diversity & Distributions 17, 43–57.
A statistical explanation of MaxEnt for ecologists.Crossref | GoogleScholarGoogle Scholar |

Ferrier S, Watson G, Pearce J, Drielsma M (2002) Extended statistical approaches to modelling spatial pattern in biodiversity in north-east New South Wales. I. Species-level modelling. Biodiversity and Conservation 11, 2275–2307.
Extended statistical approaches to modelling spatial pattern in biodiversity in north-east New South Wales. I. Species-level modelling.Crossref | GoogleScholarGoogle Scholar |

Fielding AH, Bell JF (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation 24, 38–49.
A review of methods for the assessment of prediction errors in conservation presence/absence models.Crossref | GoogleScholarGoogle Scholar |

Fitzpatrick MC, Gove AD, Sanders NJ, Dunn RR (2008) Climate change, plant migration, and range collapse in a global biodiversity hotspot: the Banksia (Proteaceae) of Western Australia. Global Change Biology 14, 1337–1352.
Climate change, plant migration, and range collapse in a global biodiversity hotspot: the Banksia (Proteaceae) of Western Australia.Crossref | GoogleScholarGoogle Scholar |

Floyd AG (1990) ‘Australian rainforests in New South Wales. Vols 1 and 2.’ (Surrey Beatty: Sydney)

Gallagher RV, Beaumont LJ, Hughes L, Leishman MR (2010) Evidence for climatic niche and biome shifts between native and novel ranges in plant species introduced to Australia. Journal of Ecology 98, 790–799.
Evidence for climatic niche and biome shifts between native and novel ranges in plant species introduced to Australia.Crossref | GoogleScholarGoogle Scholar |

Guisan A, Graham CH, Elith J, Huetmann F, the NCEAS Species Distribution Modelling Group (2007) Sensitivity of predictive species distribution models to change in grain size. Diversity & Distributions 13, 332–340.
Sensitivity of predictive species distribution models to change in grain size.Crossref | GoogleScholarGoogle Scholar |

Guisan A, Tingley R, Baumgartner JB, Naujokaitis-Lewis I, Sutcliffe PR, Tulloch AIT, Regan TR, Brotons L, McDonald-Madden E, Mantyka-Pringle C, Martin TG, Rhodes JR, Maggini R, Setterfield SA, Elith J, Schwartz MW, Wintle BA, Broennimann O, Austin M, Ferrier S, Kearney MR, Possingham HP, Buckley YM (2013) Predicting species distributions for conservation decisions. Ecology Letters 16, 1424–1435.
Predicting species distributions for conservation decisions.Crossref | GoogleScholarGoogle Scholar |

Hardner C, Peace C, Lowe AJ, Neal N, Pisanu P, Powell M, Schmidt A, Spain C, Williams K (2009) Genetic resources and domestication of Macadamia. In ‘Horticultural reviews, vol. 35’. (Ed. J Janek) pp. 1–125. (John Wiley and Sons: Hoboken, NJ)

Hilbert DW (2007) Glacial and interglacial refugia within a long-term rainforest refugium: the Wet Tropics bioregion of NE Queensland, Australia. Palaeogeography, Palaeoclimatology, Palaeoecology 251, 104–118.
Glacial and interglacial refugia within a long-term rainforest refugium: the Wet Tropics bioregion of NE Queensland, Australia.Crossref | GoogleScholarGoogle Scholar |

Hilbert DW, Ostendorf B, Hopkins MS (2001) Sensitivity of tropical forests to climate change in the humid tropics of north Queensland. Austral Ecology 26, 590–603.
Sensitivity of tropical forests to climate change in the humid tropics of north Queensland.Crossref | GoogleScholarGoogle Scholar |

Hill RS (2004) Origins of the southeastern Australian vegetation. Philosophical Transactions of the Royal Society of London. Series B, Biological sciences 359, 1537–1549.
Origins of the southeastern Australian vegetation.Crossref | GoogleScholarGoogle Scholar | 15519971PubMed |

Houlder DJ, Hutchinson MF, Nix HA, McMahon JP (2000) ‘ANUCLIM version 5.1.’ (Centre for Resource and Environmental Studies, Australian National University: Canberra)

Hughes L, Cawsey EM, Westoby M (1996) Climatic range sizes of eucalyptus species in relation to future climate change. Global Ecology and Biogeography Letters 5, 23–29.
Climatic range sizes of eucalyptus species in relation to future climate change.Crossref | GoogleScholarGoogle Scholar |

Laidlaw MJ, Forster PI (2012) Climate predictions accelerate decline for threatened Macrozamia cycads from Queensland, Australia. Biology 1, 880–894.
Climate predictions accelerate decline for threatened Macrozamia cycads from Queensland, Australia.Crossref | GoogleScholarGoogle Scholar | 24832522PubMed |

Laidlaw MJ, McDonald WJF, Hunter RJ, Putland DA, Kitching RL (2011) The potential impacts of climate change on Australian subtropical rainforest. Australian Journal of Botany 59, 440–449.
The potential impacts of climate change on Australian subtropical rainforest.Crossref | GoogleScholarGoogle Scholar |

le Roux PC, Virtanen R, Heikkinen RK, Miska L (2012) Biotic interactions affect the elevational ranges of high-latitude plant species. Ecography 35, 1048–1056.
Biotic interactions affect the elevational ranges of high-latitude plant species.Crossref | GoogleScholarGoogle Scholar |

Liu C, White M, Newell G (2013) Selecting thresholds for the prediction of species occurrence with presence-only data. Journal of Biogeography 40, 778–789.
Selecting thresholds for the prediction of species occurrence with presence-only data.Crossref | GoogleScholarGoogle Scholar |

Mast AR, Willis CL, Jones EH, Downs KM, Weston PH (2008) A smaller Macadamia from a more vagile tribe: inference of phylogenetic relationships, divergence times, and diaspore evolution in Macadamia and relatives (tribe Macadamieae; Proteaceae). American Journal of Botany 95, 843–870.
A smaller Macadamia from a more vagile tribe: inference of phylogenetic relationships, divergence times, and diaspore evolution in Macadamia and relatives (tribe Macadamieae; Proteaceae).Crossref | GoogleScholarGoogle Scholar | 21632410PubMed |

McKay JK, Christian CE, Harrison S, Rice KJ (2005) ‘How local is local?’ A review of practical and conceptual issues in the genetics of restoration. Restoration Ecology 13, 432–440.
‘How local is local?’ A review of practical and conceptual issues in the genetics of restoration.Crossref | GoogleScholarGoogle Scholar |

Meier ES, Kienast F, Pearman PB, Svenning JC, Thuiller W, Araújo MB, Guisan A, Zimmermann NE (2010) Biotic and abiotic variables show little redundancy in explaining tree species distributions. Ecography 33, 1038–1048.
Biotic and abiotic variables show little redundancy in explaining tree species distributions.Crossref | GoogleScholarGoogle Scholar |

Nakicenovic N, Swart R (2000) ‘Emissions scenarios: a special report of Working Group III of the Intergovernmental Panel on Climate Change.’ (Cambridge University Press: Cambridge, UK)

Neal JM, Hardner CM, Gross CL (2010) Population demography and fecundity do not decline with habitat fragmentation in the rainforest tree Macadamia integrifolia (Proteaceae). Biological Conservation 143, 2591–2600.
Population demography and fecundity do not decline with habitat fragmentation in the rainforest tree Macadamia integrifolia (Proteaceae).Crossref | GoogleScholarGoogle Scholar |

Neldner VJ, Wilson BA, Thompson EJ, Dillewaard HA (2012) ‘Methodology for survey and mapping of regional ecosystems and vegetation communities in Queensland. Version 3.2.’ Updated August 2012. (Queensland Herbarium, Queensland Department of Science, Information Technology, Innovation and the Arts: Brisbane)

Peace CP (2005) Genetic characterisation of Macadamia with DNA markers. PhD Thesis, University of Queensland, St Lucia, Brisbane.

Perkins SE, Pitman AJ, Holbrook N, McAneney J (2007) Evaluation of the AR4 climate models’ simulated daily maximum temperature, minimum temperature, and precipitation over Australia using probability density functions. Journal of Climate 20, 4356–4376.
Evaluation of the AR4 climate models’ simulated daily maximum temperature, minimum temperature, and precipitation over Australia using probability density functions.Crossref | GoogleScholarGoogle Scholar |

Peterson AT, Tian H, Martínez-Meyer E, Sobéron J, Sánchez-Cordero V, Huntley B (2005) Modeling distributional shifts of individual species and biomes. In ‘Climate change and biodiversity’. (Eds TE Lovejoy, L Hannah) pp. 211–228. (Yale University Press: New Haven, CT)

Phillips S, Anderson R, Schapire R (2006) Maximum entropy modelling of species geographic distributions. Ecological Modelling 190, 231–259.
Maximum entropy modelling of species geographic distributions.Crossref | GoogleScholarGoogle Scholar |

Pisanu PC, Gross CL, Flood L (2009) Reproduction in wild populations of the threatened tree Macadamia tetraphylla: inter population pollen enriches fecundity in a declining species. Biotropica 41, 391–398.
Reproduction in wild populations of the threatened tree Macadamia tetraphylla: inter population pollen enriches fecundity in a declining species.Crossref | GoogleScholarGoogle Scholar |

Powell M, Accad A, Austin MP, Low Choy S, Williams KJ, Shapcott A (2010) Assessment of loss and fragmentation of a rare species habitat with niche models developed from compiled ecological data. Biological Conservation 143, 1385–1396.
Assessment of loss and fragmentation of a rare species habitat with niche models developed from compiled ecological data.Crossref | GoogleScholarGoogle Scholar |

Queensland Herbarium (2013a) ‘Survey and mapping of pre-clearing vegetation communities and regional ecosystems of Queensland, version 8.0. December 2013.’ (Queensland Herbarium, Department of Science, Information, Technology, Innovation and the Arts: Brisbane)

Queensland Herbarium (2013b) ‘Survey and mapping of 2011 vegetation communities and regional ecosystems of Queensland, version 8.0. December 2013.’ (Queensland Herbarium, Department of Science, Information, Technology, Innovation and the Arts: Brisbane)

Queensland Herbarium Regional Ecosystem Description Database (REDD) (2013). ’A database describing regional ecosystems.’ (Environmental Protection Agency: Brisbane) Available at www.ehp.qld.gov.au/ecosystems/biodiversity/regional-ecosystems/ [Verified 6 February 2014]

Rodríguez JP, Brotons L, Bustamante J, Seone J (2007) The application of predictive modelling of species distribution to biodiversity conservation. Diversity & Distributions 13, 243–251.
The application of predictive modelling of species distribution to biodiversity conservation.Crossref | GoogleScholarGoogle Scholar |

Rossetto M, Kooyman R, Sherwin W, Jones R (2008) Dispersal limitations, rather than bottlenecks or habitat specificity, can restrict the distribution of rare and endemic rainforest trees. American Journal of Botany 95, 321–329.
Dispersal limitations, rather than bottlenecks or habitat specificity, can restrict the distribution of rare and endemic rainforest trees.Crossref | GoogleScholarGoogle Scholar | 21632357PubMed |

Sattler P, Williams R (1999) ‘The conservation status of Queensland’s bioregional ecosystems.’ (Environmental Protection Agency: Brisbane)

Shapcott A (2002) Conservation genetics and ecology of the endangered rainforest shrub, Triunia robusta, from the Sunshine Coast, Australia. Australian Journal of Botany 50, 93–105.
Conservation genetics and ecology of the endangered rainforest shrub, Triunia robusta, from the Sunshine Coast, Australia.Crossref | GoogleScholarGoogle Scholar |

Shapcott A, Powell M (2011) Demographic structure, genetic diversity and habitat distribution of the endangered, Australian rainforest tree Macadamia jansenii help facilitate an introduction program. Australian Journal of Botany 59, 215–225.
Demographic structure, genetic diversity and habitat distribution of the endangered, Australian rainforest tree Macadamia jansenii help facilitate an introduction program.Crossref | GoogleScholarGoogle Scholar |

Spain CS, Lowe AJ (2011) Genetic consequences of subtropical rainforest fragmentation on Macadamia tetraphylla (Proteaceae). Silvae Genetica 60, 241–249.

Thuiller W (2004) Patterns and uncertainties of species’ range shifts under climate change. Global Change Biology 10, 2020–2027.
Patterns and uncertainties of species’ range shifts under climate change.Crossref | GoogleScholarGoogle Scholar |

Warrick R (2009) From CLIMPACTS to SimCLIM: development of an integrated assessment model system. In ‘Integrated regional assessment of global climate change’. (Eds CG Knight, J Jaeger) pp. 280–311. (Cambridge University Press: Cambridge, UK)

Weber LC, VanDerWal J, Schmidt S, McDonald WJF, Shoo LP (2014) Patterns of rain forest plant endemism in subtropical Australia relate to stable mesic refugia and species dispersal limitations. Journal of Biogeography 41, 222–238.
Patterns of rain forest plant endemism in subtropical Australia relate to stable mesic refugia and species dispersal limitations.Crossref | GoogleScholarGoogle Scholar |

Williams KJ, Biggs I, McConchie C, Briggs PR, Underhill J, Ryan P, Storey R, Prestwidge D, Laredo L, Parker T, Hardner C, Thorburn P (2006) ‘Identification of potential new growing areas for Macadamias. Project MC04026.’ (Horticulture Australia: Sydney)