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How will climate variability interact with long-term climate change to affect the persistence of plant species in fragmented landscapes?

Published online by Cambridge University Press:  28 November 2013

MICHAEL RENTON ,
NANCY SHACKELFORD  and
RACHEL J. STANDISH
MICHAEL RENTON*
Affiliation:
School of Plant Biology, The University of Western Australia, Stirling Highway, Crawley, WA 6009, Australia Centre of Excellence for Climate Change, Forest and Woodland Health, Western Australia
NANCY SHACKELFORD
Affiliation:
School of Plant Biology, The University of Western Australia, Stirling Highway, Crawley, WA 6009, Australia
RACHEL J. STANDISH
Affiliation:
School of Plant Biology, The University of Western Australia, Stirling Highway, Crawley, WA 6009, Australia
*
*Correspondence: Dr Michael Renton Tel: + 61 8 6488 1959 Fax: +61 8 6488 1108 e-mail: michael.renton@uwa.edu.au
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Summary

As climates change, some plant species will need to migrate across landscapes fragmented by unsuitable environments and human activities to colonize new areas with suitable climates as previously habited areas become uninhabitable. Previous modelling of plant's migration potential has generally assumed that climate changes at a constant rate, but this ignores many potentially important aspects of real climate variability. In this study, a spatially explicit simulation model was used to investigate how interannual climate variability, the occurrence of extreme events and step changes in climate might interact with gradual long-term climate change to affect plant species’ capacity to migrate across fragmented landscapes and persist. The considered types of climate variability generally exacerbated the negative effects of long-term climate change, with a few poignant exceptions where persistence of long-lived trees improved. Strategic habitat restoration ameliorated negative effects of climate variability. Plant functional characteristics strongly influenced most results. Any modelling of how climate change may affect species persistence, and how actions such as restoration may help species adapt, should account for both short-term climate variability and long-term change.

Keywords

climate variabilityclimate changedispersalfragmented landscapesmigrationplant persistencesimulation modelspatially explicit
Type
THEMATIC SECTION: Spatial Simulation Models in Planning for Resilience
Information
Environmental Conservation , Volume 41 , Issue 2 , June 2014 , pp. 110 - 121
Copyright
Copyright © Foundation for Environmental Conservation 2013 

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References

Bates, B.C., Hope, P., Ryan, B., Smith, I. & Charles, S. (2008) Key findings from the Indian Ocean Climate Initiative and their impact on policy development in Australia. Climatic Change 89 (3): 339–354.Google Scholar
Brooker, R.W., Travis, J.M.J., Clark, E.J. & Dytham, C. (2007) Modelling species’ range shifts in a changing climate: the impacts of biotic interactions, dispersal distance and the rate of climate change. Journal of Theoretical Biology 245 (1): 59–65.Google Scholar
Collins, D., Della-Marta, P., Plummer, N. & Trewin, B. (2000) Trends in annual frequencies of extreme temperature events in Australia. Australian Meteorological Magazine 49 (4): 277–292.Google Scholar
CSIRO (2007) Climate Change in Australia: Technical Report 2007. Melbourne, Australia: CSIRO Publishing.Google Scholar
Davis, M.B. & Shaw, R.G. (2001) Range shifts and adaptive responses to Quaternary climate change. Science 292 (5517): 673–679.CrossRefGoogle ScholarPubMed
Di Traglia, M., Attorre, F., Francesconi, F., Valenti, R. & Vitale, M. (2011) Is cellular automata algorithm able to predict the future dynamical shifts of tree species in Italy under climate change scenarios? A methodological approach. Ecological Modelling 222 (4): 925–934.Google Scholar
Donald, P.F. & Evans, A.D. (2006) Habitat connectivity and matrix restoration: the wider implications of agri‐environment schemes. Journal of Applied Ecology 43 (2): 209–218.Google Scholar
Engler, R. & Guisan, A. (2009) MigClim: predicting plant distribution and dispersal in a changing climate. Diversity and Distributions 15 (4): 590–601.CrossRefGoogle Scholar
Ewers, R.M. & Didham, R.K. (2007) Confounding factors in the detection of species responses to habitat fragmentation. Biological Reviews 81 (1): 117–142.Google Scholar
Fay, P.A., Carlisle, J.D., Knapp, A.K., Blair, J.M. & Collins, S.L. (2003) Productivity responses to altered rainfall patterns in a C 4-dominated grassland. Oecologia 137 (2): 245–251.Google Scholar
Fitzpatrick, M., Gove, A., Sanders, N. & Dunn, R. (2008) Climate change, plant migration, and range collapse in a global biodiversity hotspot: the Banksia (Proteaceae) of Western Australia. Global Change Biology 14 (6): 1337–1352.CrossRefGoogle Scholar
Foden, W.B., Mace, G.M., Vié, J.C., Angulo, A., Butchart, S.H.M., DeVantier, L., Dublin, H.T., Gutsche, A., Stuart, S.N. & Turak, E., eds (2009) Species Susceptibility to Climate Change Impacts. Gland, Switzerland: IUCN.Google Scholar
Gutschick, V.P. & BassiriRad, H. (2003) Extreme events as shaping physiology, ecology, and evolution of plants: toward a unified definition and evaluation of their consequences. New Phytologist 160 (1): 21–42.CrossRefGoogle Scholar
Hedhly, A., Hormaza, J.I. & Herrero, M. (2009) Global warming and sexual plant reproduction. Trends in Plant Science 14 (1): 30–36.Google Scholar
Henle, K., Davies, K.F., Kleyer, M., Margules, C. & Settele, J. (2004) Predictors of species sensitivity to fragmentation. Biodiversity and Conservation 13 (1): 207–251.Google Scholar
Higgins, S.I., Lavorel, S. & Revilla, E. (2003) Estimating plant migration rates under habitat loss and fragmentation. Oikos 101 (2): 354–366.CrossRefGoogle Scholar
Hobbs, R.J. & Saunders, D.A. (1993) Reintegrating Fragmented Landscapes: Towards Sustainable Production and Nature Conservation. New York, NY, USA: Springer-Verlag.CrossRefGoogle Scholar
Honnay, O., Verheyen, K., Butaye, J., Jacquemyn, H., Bossuyt, B. & Hermy, M. (2002) Possible effects of habitat fragmentation and climate change on the range of forest plant species. Ecology Letters 5 (4): 525–530.Google Scholar
Hopper, S. (2009) OCBIL theory: towards an integrated understanding of the evolution, ecology and conservation of biodiversity on old, climatically buffered, infertile landscapes. Plant and Soil 322 (1): 49–86.Google Scholar
Hopper, S. & Gioia, P. (2004) The southwest Australian floristic region: evolution and conservation of a global hot spot of biodiversity. Annual Review of Ecology, Evolution, and Systematics 35: 623–650.Google Scholar
IOCI (2002) Climate variability and change in south west Western Australia. Indian Ocean Climate Initiative, Perth, Australia.Google Scholar
IPCC (2007) Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, 2007. Intergovernmental Panel on Climate Change, ed. Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., Tignor, M. & Miller, H. L.. Cambridge, UK: Cambridge University Press.Google Scholar
Katz, R.W. & Brown, B.G. (1992) Extreme events in a changing climate: variability is more important than averages. Climatic Change 21 (3): 289–302.Google Scholar
Maiorano, L., Cheddadi, R., Zimmermann, N., Pellissier, L., Petitpierre, B., Pottier, J., Laborde, H., Hurdu, B., Pearman, P. & Psomas, A. (2012) Building the niche through time: using 13,000 years of data to predict the effects of climate change on three tree species in Europe. Global Ecology and Biogeography 22: 302–317.Google Scholar
Mearns, L.O., Rosenzweig, C. & Goldberg, R. (1996) The effect of changes in daily and interannual climatic variability on CERES-Wheat: a sensitivity study. Climatic Change 32 (3): 257–292.CrossRefGoogle Scholar
Morris, W.F., Pfister, C.A., Tuljapurkar, S., Haridas, C.V., Boggs, C.L., Boyce, M.S., Bruna, E.M., Church, D.R., Coulson, T. & Doak, D.F. (2008) Longevity can buffer plant and animal populations against changing climatic variability. Ecology 89 (1): 19–25.Google Scholar
Mueller, R.C., Scudder, C.M., Porter, M.E., Talbot Trotter, R., Gehring, C.A. & Whitham, T.G. (2005) Differential tree mortality in response to severe drought: evidence for long‐term vegetation shifts. Journal of Ecology 93 (6): 1085–1093.Google Scholar
Nathan, R., Horvitz, N., He, Y., Kuparinen, A., Schurr, F.M. & Katul, G.G. (2011) Spread of North American wind‐dispersed trees in future environments. Ecology Letters 14 (3): 211–219.CrossRefGoogle ScholarPubMed
Parmesan, C. & Yohe, G. (2003) A globally coherent fingerprint of climate change impacts across natural systems. Nature 421 (6918): 37–42.Google Scholar
Pitelka, L. (1997) Plant migration and climate change. American Scientist 85 (5): 464–473.Google Scholar
Pitman, A.J., Narisma, G.T., Pielke Sr, R.A. & Holbrook, N. (2004) Impact of land cover change on the climate of southwest Western Australia. Journal of Geophysical Research 109 (D18): D18109.Google Scholar
R Core Team (2013) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria [www document]. URL http://www.R-project.org/ Google Scholar
Rahmstorf, S. & Coumou, D. (2011) Increase of extreme events in a warming world. Proceedings of the National Academy of Sciences USA 108 (44): 17905–17909.CrossRefGoogle Scholar
Renton, M., Childs, S., Standish, R. & Shackelford, N. (2013) Plant migration and persistence under climate change in fragmented landscapes: does it depend on the key point of vulnerability within the lifecycle? Ecological Modelling 249 (0): 50–58.Google Scholar
Renton, M., Shackelford, N. & Standish, R. (2011) Dynamic modelling to predict the likelihood of plant species persisting in fragmented landscapes in the face of climate change. In: MODSIM2011 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, ed. Chan, F., Marinova, D. & Anderssen, R. S., pp. 2268–2274. Perth, Australia: Modelling and Simulation Society of Australia and New Zealand (MSSANZ).Google Scholar
Renton, M., Shackelford, N. & Standish, R.J. (2012) Habitat restoration will help some functional plant types persist under climate change in fragmented landscapes. Global Change Biology 18 (6): 2057–2070.Google Scholar
Schär, C., Vidale, P.L., Lüthi, D., Frei, C., Häberli, C., Liniger, M.A. & Appenzeller, C. (2004) The role of increasing temperature variability in European summer heatwaves. Nature 427 (6972): 332–336.Google Scholar
Searle, D. & Semeniuk, V. (1985) The natural sectors of the inner Rottnest Shelf coast adjoining the Swan Coastal Plain. Journal of the Royal Society of Western Australia 67 (3): 116–136.Google Scholar
SERI (2013) Global Restoration Network. Australian ‘Top 25’ and ‘Highly Commended’ Restoration Projects [www document]. URL http://www.globalrestorationnetwork.org/countries/australianew-zealand/australia/ Google Scholar
Skellam, J. (1951) Random dispersal in theoretical populations. Biometrika 38: 196–218.Google Scholar
Smith, M.D. (2011) The ecological role of climate extremes: current understanding and future prospects. Journal of Ecology 99 (3): 651–655.CrossRefGoogle Scholar
Suttle, K., Thomsen, M.A. & Power, M.E. (2007) Species interactions reverse grassland responses to changing climate. Science 315 (5812): 640–642.CrossRefGoogle ScholarPubMed
Thompson, K. (2000) The functional ecology of soil seed banks. In: Seeds: the Ecology of Regeneration in Plant Communities ed. Fenner, M., pp. 215–235. Wallingford, UK: CABI Google Scholar
Thuiller, W., Albert, C., Araújo, M.B., Berry, P.M., Cabeza, M., Guisan, A., Hickler, T., Midgley, G.F., Paterson, J., Schurr, F.M., Sykes, M.T., Zimmermann, N.E. (2008). Predicting global change impacts on plant species’ distributions: future challenges. Perspectives in Plant Ecology, Evolution and Systematics 9: 137–152.Google Scholar
Turchin, P. (1998) Quantitative Analysis of Movement: Measuring and Modeling Population Redistribution in Animals and Plants. Sunderland, MA, USA: Sinauer Associates.Google Scholar
Walther, G.R., Berger, S. & Sykes, M.T. (2005) An ecological ‘footprint’ of climate change. Proceedings of the Royal Society B: Biological Sciences 272 (1571): 1427–1432.Google Scholar
Yates, C., McNeill, A., Elith, J. & Midgley, G. (2010) Assessing the impacts of climate change and land transformation on Banksia in the South West Australian Floristic Region. Diversity and Distributions 16 (1): 187–201.CrossRefGoogle Scholar
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