Microclimate modelling at macro scales: A test of a general microclimate model integrated with gridded continental-scale soil and weather data

Methods in Ecology and Evolution

Volumn 5, Issue 3, 2014, Pages 273-286

  Kearney, Michael R ^a   Shamakhy, Alireza ^a   Tingley, Reid ^a   Karoly, David J ^a   Hoffmann, Ary A ^a   Briggs, Peter R ^b   Porter, Warren P ^c  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b CSIRO   (Australia)

^c UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

Biophysical ecology; Climate; Mechanistic model; Microclimate; Soil temperature; Weather

Indexed keywords

EID: 84897765069     PISSN: None     EISSN: 2041210X     Source Type: Journal    
DOI: 10.1111/2041-210X.12148     Document Type: Article

References (60)

1. Beckman, W.A., Mitchell, J.W. & Porter, W.P. (1973) Thermal model for prediction of a desert iguana's daily and seasonal behavior. Journal of Heat Transfer, 95, 257-262.
2. Briggs, P.R. (2011) Spatially Varying Parameters for CSIRO Awap Modelling. Centre for Australian Weather and Climate Research (Bureau of Meteorology and CSIRO), Canberra, Australia. http://www.eoc.csiro.au/awap/doc/AWAP_Spatial_Parameters_ReadMe.pdf.
3. Buckley, L.B. (2008) Linking traits to energetics and population dynamics to predict lizard ranges in changing environments. The American Naturalist, 171, E1-E19.
4. Buckley, L.B., Urban, M.C., Angilletta, M.J., Crozier, L.G., Rissler, L.J. & Sears, M.W. (2010) Can mechanism inform species' distribution models? Ecology Letters, 13, 1041-1054.
5. Campbell, G.S. & Norman, J.M. (1998) Environmental Biophysics. Springer, New York.
6. Campbell, G.S., Jungbauer, J.D.J., Bidlake, W.R. & Hungerford, R.D. (1994) Predicting the effect of temperature on soil thermal conductivity. Soil Science, 158, 307-313.
7. Davis, A.J., Jenkinson, L.S., Lawton, J.H., Shorrocks, B. & Wood, S. (1998) Making mistakes when predicting shifts in species range in response to global warming. Nature, 391, 783-786.
8. Denny, M.W. & Dowd, W.W. (2012) Biophysics, environmental stochasticity, and the evolution of thermal safety margins in intertidal limpets. The Journal of Experimental Biology, 215, 934-947.
9. Dilley, A.C., Edwards, M., O'Brien, D.M. & Mitchell, R.M. (2000) Operational AVHRR processing modules: atmospheric correction, cloud masking and BRDF compensation. CSIRO Atmospheric Research Internal Paper 14, pp. 24. CSIRO Division of Atmospheric Research, Aspendale.
10. Dormann, C.F., Schymanski, S.J., Cabral, J., Chuine, I., Graham, C., Hartig, F. et al. (2012) Correlation and process in species distribution models: bridging a dichotomy. Journal of Biogeography, 39, 2119-2131.
11. Elith, J. & Leathwick, J.R. (2009) Species distribution models: ecological explanation and prediction across space and time. Annual Review of Ecology Evolution and Systematics, 40, 677-697.
12. Elterman, L. (1968) UV, Visible and IR Attenuation for Altitudes to 59 km. U. S. Airforce Cambridge Research Laboratory, Bedford, MA.
13. Elterman, L. (1970) Vertical-Attenuation Model with Eight Surface Meteorological Ranges 2 to 13 Kilometers. U. S. Airforce Cambridge Research Laboratory, Bedford, MA.
14. Fuentes, M.M.P.B. & Porter, W.P. (2013) Using a microclimate model to evaluate impacts of climate change on sea turtles. Ecological Modelling, 251, 150-157.
15. Furrer, E.M. & Katz, R.W. (2007) Generalized linear modeling approach to stochastic weather generators. Climate Research, 34, 129-144.
16. Geiger, R. (1950) The Climate near the Ground. Harvard University Press, Cambridge, MA.
17. Geiger, R., Aron, R.H. & Todhunter, P. (2003) The Climate near the Ground. Rowman and Littlefield, New York.
18. Guisan, A. & Zimmermann, N.E. (2000) Predictive habitat distribution models in ecology. Ecological Modelling, 135, 147-186.
19. Heinrich, B. (1993) The Hot-Blooded Insects: Strategies and Mechanisms of Thermoregulation. Harvard University Press, Cambridge, MA.
20. Helmuth, B. (2009) From cells to coastlines: how can we use physiology to forecast the impacts of climate change? Journal of Experimental Biology, 212, 753-760.
21. Helmuth, B., Kingsolver, J.G. & Carrington, E. (2005) Biophysics, physiological ecology, and climate change: does mechanism matter? Annual Review of Physiology, 67, 177-201.
22. Helmuth, B., Broitman, B.R., Yamane, L., Gilman, S.E., Mach, K., Mislan, K.A.S. & Denny, M.W. (2010) Organismal climatology: analyzing environmental variability at scales relevant to physiological stress. The Journal of Experimental Biology, 213, 995-1003.
23. Hijmans, R.J., Cameron, S.E., Parra, J.L., Jones, P.G. & Jarvis, A. (2005) Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology, 25, 1965-1978.
24. Horton, B. (2012) Models for estimation of hourly soil temperature at 5 cm depth and for degree-day accumulation from minimum and maximum soil temperature. Soil Research, 50, 447-454.
25. Horton, B. & Corkrey, R. (2011) A weighted coefficient model for estimation of Australian daily soil temperature at depths of 5 cm to 100 cm based on air temperature and rainfall. Soil Research, 49, 305-314.
26. Huey, R.B. (1982) Temperature, physiology, and the ecology of reptiles. Physiology C: Physiological Ecology (eds C. Gans & F.H. Pough), pp. 25-91. Academic Press, London.
27. Hutchinson, M.F. (2000) ANUSPLIN User Guide Version 4.1. Centre for Resource and Environmental Studies, Australian National University, Canberra.
28. Hutchinson, M.F. & Dowling, T. (1991) A continental hydrological assessment of a new grid-based digital elevation model of Australia. Hydrological Processes, 5, 45-58.
29. Hutchinson, M.F., Stein, J.A., Stein, J.L., Anderson, H. & Tickle, P. (2008) Geodata 9 Second DEM and D8 - Digital Elevation Model Version 3 and Flow Direction Grid. User Guide. Fenner School of Environment and Society, ANU and Geoscience Australia, Canberra.
30. Jones, D.A., Wang, W. & Fawcett, R. (2009) High-quality spatial climate data-sets for Australia. Australian Meteorological and Oceanographic Journal, 58, 233-248.
31. Kearney, M. (2012) Metabolic theory, life history and the distribution of a terrestrial ectotherm. Functional Ecology, 26, 167-179.
32. Kearney, M. & Porter, W.P. (2004) Mapping the fundamental niche: physiology, climate, and the distribution of a nocturnal lizard. Ecology, 85, 3119-3131.
33. Kearney, M. & Porter, W.P. (2009) Mechanistic niche modelling: combining physiological and spatial data to predict species' ranges. Ecology Letters, 12, 334-350.
34. Kearney, M., Shine, R. & Porter, W.P. (2009) The potential for behavioral thermoregulation to buffer 'cold-blooded' animals against climate warming. Proceedings of the National Academy of Sciences of the United States of America, 106, 3835-3840.
35. Kearney, M.R., Wintle, B.A. & Porter, W.P. (2010) Correlative and mechanistic models of species distribution provide congruent forecasts under climate change. Conservation Letters, 3, 203-213.
36. Kearney, M., Phillips, B.L., Tracy, C.R., Christian, K., Betts, G. & Porter, W.P. (2008) Modelling species distributions without using species distributions: the cane toad in Australia under current and future climates. Ecography, 31, 423-434.
37. Kearney, M., Simpson, S.J., Raubenheimer, D. & Helmuth, B. (2010) Modelling the ecological niche from functional traits. Philosophical Transactions of the Royal Society B: Biological Sciences, 365, 3469-3483.
38. Kearney, M.R., Simpson, S.J., Raubenheimer, D. & Kooijman, S.A.L.M. (2013) Balancing heat, water and nutrients under environmental change: a thermodynamic niche framework. Functional Ecology, 27, 950-966.
39. Koepke, P., Hess, M., Schult, I. & Shettle, E.P. (1997) Global Aerosol Data Set. Max-Planck-Institut für Meteorologie, Hamburg.
40. Lee, K.E. (1985) Earthworms, their Ecology and Relationships with Soils and Land Use. Academic Press, Sydney.
41. McCullough, E.C. & Porter, W.P. (1971) Computing clear day solar radiation spectra for the terrestrial ecological environment. Ecology, 52, 1008-1015.
42. McKenzie, N.J., Jacquier, D.W., Ashton, L.J. & Cresswell, H.P. (2000) Estimation of soil properties using the Atlas of Australian Soils. Technical Report 11/00. CSIRO Land and Water, Canberra, Australia.
43. Mitchell, J.W., Beckman, W.A., Bailey, R.T. & Porter, W.P. (1975) Microclimatic modeling of the desert. Heat and Mass Transfer in the Biosphere, Part 1. Transfer Processes in the Plant Environment (eds D.A. De Vries & N.H. Afgan), pp. 275-286. Scripta Book Co., Washington, DC.
44. Mitchell, N.J., Kearney, M., Nelson, N.J. & Porter, W.P. (2008) Predicting the fate of a living fossil: how will global warming affect sex determination and hatching phenology in tuatara? Proceedings of the Royal Society Biological Sciences Series B, 275, 2185-2193.
45. Mitchell, N., Hipsey, M.R., Arnall, S., McGrath, G., Bin Tareque, H., Kuchling, G. et al. (2013) Linking eco-energetics and eco-hydrology to select sites for the assisted colonisation of Australia's rarest reptile. Biology, 2, 1-25.
46. Natori, Y. & Porter, W.P. (2007) Japanese serow (Capricornis crispus) energetics landscape modelling predicts distribution on Honshu, Japan. Ecological Applications, 17, 1441-1459.
47. Porter, W.P. & James, F.C. (1979) Behavioral implications of mechanistic ecology II: the African Rainbow Lizard, Agama agama. Copeia, 1979, 594-619.
48. Porter, W.P. & Mitchell, J.W. (2006) Method and System for Calculating the Spatial-Temporal Effects of Climate and Other Environmental Conditions on Animals. http://www.patentstorm.us/patents/7155377-fulltext.html (ed. U.P. Office). Wisconsin Alumni Research Foundation, USA.
49. Porter, W.P., Mitchell, J.W., Beckman, W.A. & DeWitt, C.B. (1973) Behavioral implications of mechanistic ecology - Thermal and behavioral modeling of desert ectotherms and their microenvironment. Oecologia, 13, 1-54.
50. Porter, W.P., Budaraju, S., Stewart, W.E. & Ramankutty, N. (2000) Calculating climate effects on birds and mammals: impacts on biodiversity, conservation, population parameters, and global community structure. American Zoologist, 40, 597-630.
51. Porter, W.P., Sabo, J.L., Tracy, C.R., Reichman, O.J. & Ramankutty, N. (2002) Physiology on a landscape scale: plant-animal interactions. Integrative and Comparative Biology, 42, 431-453.
52. R Development Core Team (2012) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0. http://www.R-project.org/.
53. Raupach, M.R., Briggs, P.R., Haverd, V., King, E.A., Paget, M. & Trudinger, C.M. (2009) Australian water availability project (AWAP), CSIRO marine and atmospheric research component: final report for phase 3. CAWCR Technical Report No. 013, pp. 1-67. Centre for Australian Weather and Climate Research (Bureau of Meteorology and CSIRO), Melbourne.
54. Raupach, M.R., Briggs, P.R., Haverd, V., King, E.A., Paget, M. & Trudinger, C.M. (2011) CSIRO AWAP Run 26c Historical Monthly and Annual Model Results for 1900-2009. Centre for Australian Weather and Climate Research (Bureau of Meteorology and CSIRO), Canberra, Australia. http://www.csiro.au/awap.
55. Schaaf, C.B., Gao, F., Strahler, A.H., Lucht, W., Li, X., Tsang, T. et al. (2002) First operational BRDF, albedo nadir reflectance products from MODIS. Remote Sensing of Environment, 83, 135-148.
56. Seemann, S.W., Borbas, E.E., Knuteson, R.O., Stephenson, G.R. & Huang, H.-L. (2008) Development of a global infrared land surface emissivity database for application to clear sky sounding retrievals from multispectral satellite radiance measurements. Journal of Applied Meteorology and Climatology, 47, 108-123.
57. Suggitt, A.J., Gillingham, P.K., Hill, J.K., Huntley, B., Kunin, W.E., Roy, D.B. & Thomas, C.D. (2011) Habitat microclimates drive fine-scale variation in extreme temperatures. Oikos, 120, 1-8.
58. Tracy, C.R. (1976) A model of the dynamic exchanges of water and energy between a terrestrial amphibian and its environment. Ecological Monographs, 46, 293-326.
59. Woods, H.A. & Bonnecaze, R.T. (2006) Insect eggs at a transition between diffusion and reaction limitation: temperature, oxygen, and water. Journal of Theoretical Biology, 243, 483-492.
60. Zeileis, A. & Grothendieck, G. (2005) zoo: S3 infrastructure for regular and irregular time series. Journal of Statistical Software, 14, 1-27.