Eucalypts face increasing climate stress

Global climate change is already impacting species and ecosystems across the planet. Trees, although long-lived, are sensitive to changes in climate, including climate extremes. Shifts in tree species' distributions will influence biodiversity and ecosystem function at scales ranging from local to landscape; dry and hot regions will be especially vulnerable. The Australian continent has been especially susceptible to climate change with extreme heat waves, droughts, and flooding in recent years, and this climate trajectory is expected to continue. We sought to understand how climate change may impact Australian ecosystems by modeling distributional changes in eucalypt species, which dominate or codominate most forested ecosystems across Australia. We modeled a representative sample of Eucalyptus and Corymbia species (n = 108, or 14% of all species) using newly available Representative Concentration Pathway (RCP) scenarios developed for the 5th Assessment Report of the IPCC, and bioclimatic and substrate predictor variables. We compared current, 2025, 2055, and 2085 distributions. Overall, Eucalyptus and Corymbia species in the central desert and open woodland regions will be the most affected, losing 20% of their climate space under the mid-range climate scenario and twice that under the extreme scenario. The least affected species, in eastern Australia, are likely to lose 10% of their climate space under the mid-range climate scenario and twice that under the extreme scenario. Range shifts will be lateral as well as polewards, and these east–west transitions will be more significant, reflecting the strong influence of precipitation rather than temperature changes in subtropical and midlatitudes. These net losses, and the direction of shifts and contractions in range, suggest that many species in the eastern and southern seaboards will be pushed toward the continental limit and that large tracts of currently treed landscapes, especially in the continental interior, will change dramatically in terms of species composition and ecosystem structure.

[1]  S. Goldhor Ecology , 1964, The Yale Journal of Biology and Medicine.

[2]  M. Brooker,et al.  Field guide to eucalypts. Volume 1. South-eastern Australia. , 1983 .

[3]  M. Westoby,et al.  Climatic range sizes of Eucalyptus species in relation to future climate change , 1996 .

[4]  P. Forster,et al.  Radiative forcing , 1997 .

[5]  A. Solomon,et al.  Climate Change and Terrestrial Biomass: What if Trees do not Migrate? , 1997 .

[6]  R. Fensham,et al.  Temporal and spatial patterns in drought-related tree dieback in Australian savanna , 1999 .

[7]  T. Tschaplinski,et al.  Plant water relations at elevated CO2 -- implications for water-limited environments. , 2002, Plant, cell & environment.

[8]  L. Hughes Climate change and Australia: Trends, projections and impacts , 2003 .

[9]  N. Nicholls The Changing Nature of Australian Droughts , 2004 .

[10]  Miroslav Dudík,et al.  A maximum entropy approach to species distribution modeling , 2004, ICML.

[11]  Catherine H. Graham,et al.  A comparison of methods for mapping species ranges and species richness , 2006 .

[12]  C. Parmesan Ecological and Evolutionary Responses to Recent Climate Change , 2006 .

[13]  Robert P. Anderson,et al.  Maximum entropy modeling of species geographic distributions , 2006 .

[14]  Stefano Schiavon,et al.  Climate Change 2007: The Physical Science Basis. , 2007 .

[15]  H. L. Miller,et al.  Global climate projections , 2007 .

[16]  K. J. Willis,et al.  The ability of climate envelope models to predict the effect of climate change on species distributions , 2007 .

[17]  S. Solomon The Physical Science Basis : Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change , 2007 .

[18]  Thomas Tenkate,et al.  Climate Change in Australia - Technical Report 2007 [Book Review] , 2007 .

[19]  P. Whetton,et al.  Australian climate change projections derived from simulations performed for the IPCC 4th Assessment Report , 2007 .

[20]  D. J. Milne,et al.  Forest expansion and grassland contraction within a Eucalyptus savanna matrix between 1941 and 1994 at Litchfield National Park in the Australian monsoon tropics , 2008 .

[21]  C. Rosenzweig,et al.  Attributing physical and biological impacts to anthropogenic climate change , 2008, Nature.

[22]  O. Phillips,et al.  Floristic and functional affiliations of woody plants with climate in western Amazonia , 2008 .

[23]  Marc K. Steininger,et al.  Research, part of a Special Feature on The influence of human demography and agriculture on natural systems in the Neotropics Total Historical Land-Use Change in Eastern Bolivia: Who, Where, When, and How Much? , 2008 .

[24]  Stephen D. Hopper,et al.  OCBIL theory: towards an integrated understanding of the evolution, ecology and conservation of biodiversity on old, climatically buffered, infertile landscapes , 2009, Plant and Soil.

[25]  R. Deo,et al.  A continent under stress: interactions, feedbacks and risks associated with impact of modified land cover on Australia's climate , 2009 .

[26]  L. Aragão,et al.  Exploring the likelihood and mechanism of a climate-change-induced dieback of the Amazon rainforest , 2009, Proceedings of the National Academy of Sciences.

[27]  John F. B. Mitchell,et al.  The next generation of scenarios for climate change research and assessment , 2010, Nature.

[28]  S. Ferrier,et al.  Harnessing Continent-Wide Biodiversity Datasets for Prioritising National Conservation Investment , 2010 .

[29]  P. Baker,et al.  Dynamics of Murray‐Darling floodplain forests under multiple stressors: The past, present, and future of an Australian icon , 2011 .

[30]  M. Kainuma,et al.  An emission pathway for stabilization at 6 Wm−2 radiative forcing , 2011 .

[31]  R. Betts,et al.  Land use/land cover changes and climate: modeling analysis and observational evidence , 2011 .

[32]  Trevor Hastie,et al.  A statistical explanation of MaxEnt for ecologists , 2011 .

[33]  Y. Malhi,et al.  Changes in the potential distribution of humid tropical forests on a warmer planet , 2011, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[34]  R. B. Jackson,et al.  A Large and Persistent Carbon Sink in the World’s Forests , 2011, Science.

[35]  R. Betts,et al.  When could global warming reach 4°C? , 2011, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[36]  C. Rahbek,et al.  Communities Under Climate Change , 2011, Science.

[37]  R. Ohlemüller,et al.  Rapid Range Shifts of Species Associated with High Levels of Climate Warming , 2011, Science.

[38]  Kimberly P. Van Niel,et al.  Impact of landscape predictors on climate change modelling of species distributions: a case study with Eucalyptus fastigata in southern New South Wales, Australia , 2011 .

[39]  S. Prober,et al.  The Implications of Climate Change for Biodiversity, Conservation and the National Reserve System: Final Synthesis , 2012 .

[40]  Marcus Thatcher,et al.  Rainfall reductions over Southern Hemisphere semi-arid regions: the role of subtropical dry zone expansion , 2012, Scientific Reports.

[41]  H. Grantham,et al.  Modelling changes in the distribution of the critical food resources of a specialist folivore in response to climate change , 2012 .

[42]  Mohammad Ali Effects of Climate Change on Vegetation , 2013 .

[43]  Laura J. Pollock,et al.  Chloroplast DNA diversity associated with protected slopes and valleys for hybridizing Eucalyptus species on isolated ranges in south‐eastern Australia , 2013 .

[44]  Matthew J. Smith,et al.  Protected areas network is not adequate to protect a critically endangered East Africa Chelonian: Modelling distribution of pancake tortoise, Malacochersus tornieri under current and future climates , 2013, bioRxiv.

[45]  R. Clarke,et al.  The interaction between a drying climate and land use affects forest structure and above‐ground carbon storage , 2013 .

[46]  R. Maxwell,et al.  Water-quality impacts from climate-induced forest die-off , 2013 .

[47]  R. Seager,et al.  Temperature as a potent driver of regional forest drought stress and tree mortality , 2013 .

[48]  Alex S. Kutt,et al.  Focus on poleward shifts in species' distribution underestimates the fingerprint of climate change , 2013 .

[49]  J. Chiang,et al.  Increase in the range between wet and dry season precipitation , 2013 .

[50]  Richard J Hobbs,et al.  Hurdles and Opportunities for Landscape-Scale Restoration , 2013, Science.

[51]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .