Developing biodiverse plantings suitable for changing climatic conditions 1: Underpinning scientific methods

Ecological Management and Restoration

Volumn 13, Issue 3, 2012, Pages 267-273

  Booth, Trevor H ^a   Williams, Kristen J ^a  

^a CSIRO   (Australia)

Author keywords

Biodiversity; Climate change; Revegetation; Simulation models; Species distribution models

Indexed keywords

BIODIVERSITY; CLIMATE CHANGE; GEOGRAPHICAL DISTRIBUTION; NUMERICAL MODEL; PROVENANCE; REVEGETATION; TREE PLANTING;

AUSTRALIA;

EID: 84867870120     PISSN: 14427001     EISSN: 14428903     Source Type: Journal    
DOI: 10.1111/emr.12003     Document Type: Review

References (61)

1. Almeida A. C., Sands P. J., Bruce J. et al. (2009) Use of a spatial process-based model to quantify forest plantation productivity and water use efficiency under climate change scenarios. 18th World IMACS/MODSIM Congress, Cairns, Australia, 13-17 July 2009. [Accessed 3 July 2012] Available from URL: http://www.mssanz.org.au/modsim09/authorsA-B.htm.
2. Austin M. P. and Van Niel K. P. (2011) Impact of landscape predictors on climate change modelling of species distributions: a case study with Eucalyptus fastigata in southern New South Wales, Australia. Journal of Biogeography 38, 9-19.
3. 2 on instantaneous transpiration efficiency at leaf and canopy scales in Eucalyptus saligna. Global Change Biology 18, 585-595.
4. Battaglia M., Sands P., White D. and Mummery D. (2004) CABALA: a linked carbon, water and nitrogen model of forest growth for silvicultural decision support. Forest Ecology and Management 193, 251-282.
5. Battaglia M., Bruce J., Brack C. and Baker T. (2009) Climate Change and Australia's Plantation Estate: analysis of vulnerability and preliminary investigation of adaptation options. Forest and Wood Products Australia. Project Report PNC068-0708. 125 p. [Accessed 17 March 2012] Available from URL: http://www.fwpa.com.au/node/175.
6. Beale C. M. and Lennon J. J. (2012) Incorporating uncertainty in predictive species distribution modelling. Philosophical Transactions of the Royal Society B: Biological Sciences 367, 247-258.
7. Booth T. H. (1985) A new method to assist species selection. Commonwealth Forestry Review 64, 241-250.
8. Booth T. H. (Ed.) (1996) Matching Trees and Sites. ACIAR Proceedings No. 63. Australian Centre for International Agricultural Research, Canberra. 126 p.
9. Booth T. H. (2012, in press) Eucalypt plantations and climate change. Forest Ecology and Management, http://dx.doi.org/10.1016/j.foreco.2012.04.004.
10. Booth T. H. (2012) Eucalypts and their potential for invasiveness particularly in frost-prone regions. International Journal of Forestry Research. doi:10.1155/2012/837165.
11. Booth T. H. and Jovanovic T. (2012) Assessing vulnerable areas for Puccinia psidii (eucalypt rust) in Australia. Australasian Plant Pathology 41, 425-429.
12. Booth T. H., Nix H. A., Hutchinson M. F. and Jovanovic T. (1988) Niche analysis and tree species introduction. Forest Ecology and Management 23, 47-59.
13. Booth T. H., Kirschbaum M. U. F. and Battaglia M. (2010) Forestry. In: Adapting Agriculture to Climate Change. (eds C. Stokes and M. Howden), pp. 137-152. CSIRO Publishing, Melbourne.
14. Booth T. H., Williams K. J. and Belbin L. (2012, in press) Developing biodiverse plantings suitable for changing climatic conditions 2. Using the Atlas of Living Australia. Ecological Management and Restoration.
15. Busby J. R. (1991) BIOCLIM - A bioclimate analysis and prediction system. Plant Protection Quarterly 6, 8-9.
16. Carnegie A. J. and Cooper K. (2011) Emergency response to the incursion of an exotic myrtaceous rust in Australia. Australasian Plant Pathology 40, 346-359.
17. Cheaib A., Badeau V., Boe J. et al. (2012) Climate change impacts on tree ranges: model intercomparison facilitates understanding and quantification of uncertainty. Ecology Letters 15(6), 533-544.
18. CSIRO/BoM (2012) State of the Climate 2012, CSIRO and Bureau of Meteorology, Melbourne.
19. Elith J. and 26 others (2006) Novel methods improve prediction of species distributions from occurrence data. Ecography 29, 129-151.
20. Elith J. and Graham C. H. (2009) Do they? How do they? Why do they differ? On finding reasons for differing performances of species distribution models. Ecography 32, 66-77.
21. Elith J., Kearney M. and Phillips S. (2010) The art of modelling range-shifting species. Methods in Ecology and Evolution 1(4), 330-342.
22. Elith J., Phillips S. J., Hastie T., Dudik M., Chee Y. E. and Yates C. J. (2011) A statistical explanation of MaxEnt for ecologists. Diversity and Distributions 17, 43-57.
23. Ferrier S., Harwood T. and Williams K. J. (2010) Using Generalised Dissimilarity Modelling to Assess Potential Impacts of Climate Change on Biodiversity Composition in Australia, and on the Representativeness of the National Reserve System. A report prepared for the Department of Sustainability, Environment, Water, Population and Communities, Canberra. CSIRO Climate Adaptation Flagship, Canberra.
24. Fitzpatrick E. A. and Nix H. A. (1970) The climatic factor in Australian grassland ecology. In Australian Grasslands (ed R. M. Moore) pp. 3-26. Australian National University Press, Canberra.
25. Franklin J. (2009) Mapping Species Distributions, Cambridge University Press, Cambridge, UK.
26. Glen M., Alfenas A. C., Zauza E. A. V., Wingfield M. J. and Mohammed C. (2007) Puccinia psidii: a threat to the Australian environment and economy - a review. Australasian Plant Pathology 36, 1-16.
27. Giovanelli J. G. R., de Siquerira M. F., Haddad C. F. B., et al. (2010) Modeling a spatially restricted distribution in the Neotropics. Ecology Modelling 221, 215-224.
28. Hackett C. (1988) Matching Plants and Land: Development of a Broadscale System for a Crop Project for Papua New Guinea. CSIRO Division of Water and Land Resources, Melbourne.
29. Hackett C. (1991a) PLANTGRO: A Software Package for Coarse Prediction of Plant Growth. CSIRO, East Melbourne.
30. Hackett C. (1991b) Mobilising environmental information about lesser-known plants - the value of two neglected levels of description. Agroforestry Systems 14, 131-143.
31. Hackett C. and Vanclay J. K. (1998) Mobilizing expert knowledge of tree growth with the PLANTGRO and INFER systems. Ecological Modelling 106, 233-246.
32. Hughes L., Cawsey E. M. and Westoby M. (1996) Climatic range sizes of Eucalyptus species in relation to future climate change. Global Ecology and Biogeography Letters 5, 23-29.
33. Hutchinson G. E. (1957) Concluding remarks. Cold Spring Harbour Symposium Quantitative Biology 22, 415-427.
34. Hutchinson M. F., Houlder D. J., Nix H. A. and McMahon J. P. (2000) ANUCLIM Users Guide Version 5.1, Centre for Resource and Environmental Studies, The Australian National University, Canberra.
35. Jacobs M. R. (1981) Eucalypts for Planting. FAO, Rome.
36. Kearney M. and Porter W. (2009) Mechanistic niche modelling: combining physiological and spatial data to predict species' ranges. Ecology Letters 12, 334-350.
37. Kriticos O. J., Watt M. S., Potter K. J. B., et al. (2011) Managing invasive weeds under climate change. Weed Research 51, 85-96.
38. Landsberg J. J. and Sands P. (2010) Physiological Ecology of Forest Production: Principles, Processes and Models. Academic Press, New York. For related downloads, including the 3-PG model see http://www.elsevierdirect.com/v2/companion.jsp?ISBN=9780123744609.
39. Landsberg J. J. and Waring R. H. (1997) A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning. Forest Ecology and Management 95, 209-228.
40. Laughlin G. P., Ranatunga K., Brinkley T. R., Johnson I. R. and Hutchinson M. F. (2007) GROWEST PLUS: a tool for rapid assessment of seasonal growth for environmental planning and assessment. Environmental Modelling & Software 22, 1196-1207.
41. Mbogga M. S., Wang X. and Hamann A. (2010) Bioclimate envelope model predictions for natural resource management: dealing with uncertainty. Journal of Applied Ecology 47(4), 731-740.
42. Passey R., MacGill I. and Outhred H. (2008) The governance challenge for implementing effective market-based climate policies: a case study of the New South Wales Greenhouse Gas Reduction Scheme. Energy Policy 36, 3009-3018.
43. Paul K. I., Reeson A., Polglase P., Crossman N., Freudenberger D. and Hawkins C. (2012) Economic and employment implications of a carbon market for integrated farm forestry and biodiverse environmental plantings. Land use policy 30, 496-506.
44. Phillips S. J. and Dudík M. (2008) Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31, 161-175.
45. Phillips S. J., Anderson R. P. and Schapire R. E. (2006) Maximum entropy modelling of species geographic distributions. Ecological Modeling 190, 231-259.
46. van der Ploeg R. R., Bohm W. and Kirkham M. B. (1999) On the origin of the theory of mineral nutrition of plants and the law of the minimum. Soil Science Society of America Journal 63, 1055-1062.
47. Polglase P. J., Paul K. I., Hawkins C. et al. (2008) Regional Opportunities for Agroforestry Systems in Australia. RIRDC Publication No. 08/176.
48. Polglase P., Reeson A., Hawkins C. et al. (2011) Opportunities for Carbon Forestry in Australia: Economic Assessment and Constraints to Implementation. CSIRO Sustainable Agriculture Flagship, Canberra. http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences/Opportunities-Carbon-Forestry.aspx.
49. Raison J., Eamus D., Gifford R. and McGrath J. (2007) The Feasibility of Forest Free Air CO2 Enrichment (FACE) Experimentation in Australia. Report for Australian Greenhouse Office, prepared by Ensis. Department of the Environment and Water Resources, Canberra.
50. Richards G. P. and Evans D. M. W. (2004) Development of a carbon accounting model (FullCAM Vers. 1.0) for the Australian continent. Australian Forestry 76, 277-283.
51. Shaw M. W. and Osborne T. M. (2011) Geographic distribution of plant pathogens in response to climate change. Plant Pathology 60, 31-43.
52. Sutherst R. W. and Maywald G. F. (1985) A computerised system for matching climates in ecology. Agriculture, Ecosystems and Environment 13, 281-299.
53. Thomas C. D., Cameron A., Green R. E. et al. (2004) Extinction risk from climate change. Nature 427, 145-148.
54. Vesk P. A. and Mac Nally R. (2006) The clock is ticking - Revegetation and habitat for birds and arboreal mammals in rural landscapes of southern Australia. Agriculture, Ecosystems and Environment 112, 356-366.
55. Watt M. S., Ganley R. J., Kriticos D. J. and Manning L. K. (2011) Dothistroma needle blight and pitch canker: the current and future distribution of two important diseases of Pinus Species. Canadian Journal of Forest Research 41, 412-424.
56. Williams K. J., Norman P. and Mengersen K. (2000) Predicting the natural occurrence of blackbutt and Gympie messmate in Southeast Queensland. Australian Forestry 63, 41-52.
57. Williams K. J., Biggs I., McConchie C. et al. (2006) Identification of Potential New Growing Areas for Macadamias, Horticulture Australia Limited, Lismore.
58. Williams K. J., Ryan P., Coops N. et al. (2008) Estimating the Productivity of Forest Systems in Southeast Queensland: An Application of the Forest Model 3-PG. Report for the Joint Venture Agroforestry Program, Rural Industries Research and Development Corporation, Canberra.
59. Williams K. J., Ferrier S., Rosauer D. et al. (2010) Harnessing Continent-Wide Biodiversity Datasets for Prioritising National Conservation Investment. A report prepared for the, Department of Sustainability Environment, Water, Population and Communities, Australian Government, Canberra, by CSIRO Ecosystem Sciences, Canberra.
60. Williams K. J., Belbin L., Austin M. P., Stein J. and Ferrier S. (2012) Which environmental variables should I use in my biodiversity model? International Journal of Geographic Information Sciences DOI:10.1080/13658816.2012.698015.
61. Xu T. and Hutchinson M. F. (2011) ANUCLIM Version 6.1 User Guide, The Australian National University, Fenner School of Environment and Society, Canberra.