Identifying climate refugia for 30 Australian rainforest plant species, from the last glacial maximum to 2070
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Climate refugia—areas that remain suitable for species during periods of climate disruption—have played an important role in species persistence over time. Identifying and protecting these refugia is a key climate change adaptation approach for conservation planning.
To identify climate refugia for Australian tropical/sub-tropical rainforest flora, from the Last Glacial Maximum to 2070.
Habitat suitability models were calibrated for 30 species using Maxent, and projected onto climate data for: Last Glacial Maximum (LGM, ~ 22,000 ybp); mid-Holocene (MH, ~ 6000 ybp); current period; and 2070. The intersection of suitable habitat over consecutive periods was assessed, identifying: current refugia (LGM–MH–Current); future refugia (Current–Future); and High Value Refugia (HVR, suitable over all four periods). Refugial hotspots (regions suitable for at least 15 species) were also identified.
Suitable habitat was generally projected to span the greatest area in the current period. Four current refugial hotspots were identified: Wet Tropics, Central Mackay Coast, South Eastern Queensland, and North Coast (New South Wales). While suitable habitat for most species may decline in the future, HVRs will likely be retained for all species to at least 2070, although restricted in size. Future refugia was also projected in areas beyond species’ dispersal ranges.
HVRs are highly important for the conservation of these rainforest species, given their generation times, limited dispersal capabilities and additional anthropogenic barriers to movement. This study assists in understanding long-term spatial shifts in rainforest flora in response to climate change and in designing future conservation strategies.
KeywordsClimate change Habitat suitability models In situ refugia Maxent Refugial hotspots
Thanks to Dr D Nipperess and Dr Md M Haque for their valuable comments on this research paper. We also thank Dr RM Kooyman for feedback on model output, and Dr K Williams for discussions on the use of soil variables. This research was funded by the Macquarie University International Research Training Program (Master of Research) scholarship.
- Adam P (1992) Australian rainforests. Clarendon Press, OxfordGoogle Scholar
- Ashcroft MB (2010) Identifying refugia from climate change. J Biogeogr 37(8):1407–1413Google Scholar
- Baumgartner J, Wilson P, Esperon-Rodriguez M (2017) Rmaxent: tools for working with Maxent in R_. R package version 0.4.1.9000. https://github.com/johnbaums/rmaxent
- Borchert R (1998) Responses of tropical trees to rainfall seasonality and its long-term changes. Potential impacts of climate change on tropical forest ecosystems. Springer, Dordrecht, pp 241–253Google Scholar
- Hijmans RJ, Phillips S, Leathwick J, Elith J (2017) dismo: Species Distribution Modeling. R package version 1.1-4. https://CRAN.R-project.org/package=dismo
- IBRA (2012) Interim biogeographic regionalisation for Australia. Interim Biogeographic Regionalisation for Australia. Australian Government Department of Sustainability, Environment, Water, Populations and Communities. Australian Nature Conservation Agency, CanberraGoogle Scholar
- Keith DA (2017) Australian vegetation. Cambridge University Press, CambridgeGoogle Scholar
- Metcalfe DJ, Green PT (2017) Rainforests and Vine Tickets. In: Keith DA (ed) Australian vegetation, 3rd edn. Cambridge University Press, Cambridge, pp 257–280Google Scholar
- R Core Team (2014) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/. R: A Language and Environment for Statistical Computing
- Walker J, Hopkins MS (1984) Vegetation. In: McDonald RC, Isbell RF, Speight JG, Walker J, Hopkins MS (eds) Australian Soil and Land Survey Handbook. Inkata Press, MelbourneGoogle Scholar
- Whetton P, Ekström M, Gerbing C et al (2015) CSIRO and Bureau of Meteorology 2015, Climate Change in Australia Information for Australia’s Natural Resource Management Regions: Technical Report, CSIRO and Bureau of Meteorology, Australia. 222 pages. http://www.climatechangeinaustralia.gov.au/en/publications-library/technical-report
- Xu T, Hutchinson M (2011) ANUCLIM version 6.1 user guide. The Australian National University, Fenner School of Environment and Society, CanberraGoogle Scholar