Fine-resolution (25 m) topoclimatic grids of near-surface (5 cm) extreme temperatures and humidities across various habitats in a large (200 × 300 km) and diverse region

International Journal of Climatology

Volumn 32, Issue 14, 2012, Pages 2134-2148

  Ashcroft, Michael B ^a   Gollan, John R ^a  

^a AUSTRALIAN MUSEUM   (Australia)

Author keywords

Canopy cover; Climate variability; Coastal influence; Cold air drainage; Microclimate; Regional climate; Synoptic patterns; Topoclimate

Indexed keywords

CANOPY COVER; CLIMATE VARIABILITY; COASTAL INFLUENCE; COLD AIR; MICROCLIMATE; REGIONAL CLIMATE; SYNOPTIC PATTERNS; TOPOCLIMATE;

CLIMATOLOGY; ECOSYSTEMS;

FACTOR ANALYSIS;

CANOPY; CLIMATE FORCING; CLIMATE VARIATION; COASTAL ZONE; COLD AIR; GRASSLAND; HABITAT TYPE; HUMIDITY; MICROCLIMATE; REGIONAL CLIMATE; SYNOPTIC METEOROLOGY; WOODLAND;

AUSTRALIA; NEW SOUTH WALES;

EID: 84860689596     PISSN: 08998418     EISSN: 10970088     Source Type: Journal    
DOI: 10.1002/joc.2428     Document Type: Article

References (61)

1. Adler PB, HilleRisLambers J, Levine JM. 2009. Weak effect of climate variability on coexistence in a sagebrush steppe community. Ecology 90: 3303-3312.
2. Ashcroft MB. 2006. A method for improving landscape scale temperature predictions and the implications for vegetation modelling. Ecological Modelling 197: 394-404.
3. Ashcroft MB. 2010. Identifying refugia from climate change. Journal of Biogeography 37: 1407-1413.
4. Ashcroft MB, Chisholm LA, French KO. 2008. The effect of exposure on landscape scale soil surface temperatures and species distribution models. Landscape Ecology 23: 211-225.
5. Ashcroft MB, Chisholm LA, French KO. 2009. Climate change at the landscape scale: predicting fine-grained spatial heterogeneity in warming and potential refugia for vegetation. Global Change Biology 15: 656-667.
6. Ashcroft MB, French KO, Chisholm LA. 2011. An evaluation of environmental factors affecting species distributions. Ecological Modelling 222: 524-531.
7. Austin MP, Van Niel KP. 2011. Improving species distribution models for climate change studies: variable selection and scale. Journal of Biogeography 38: 1-8.
8. Beaumont LJ, Pitman AJ, Poulsen M, Hughes L. 2007. Where will species go? Incorporating new advances in climate modelling into projections of species distributions. Global Change Biology 13: 1368-1385.
9. Beever EA, Ray C, Mote PW, Wilkening JL. 2010. Testing alternative models of climate-mediated extirpations. Ecological Applications 20: 164-178.
10. Bennie J, Huntley B, Wiltshire A, Hill MO, Baxter R. 2008. Slope, aspect and climate: spatially explicit and implicit models of topographic microclimate in chalk grassland. Ecological Modelling 216: 47-59.
11. Bennie JJ, Wiltshire AJ, Joyce AN, Clark D, Lloyd AR, Adamson J, Parr T, Baxter R, Huntley B. 2010. Characterising inter-annual variation in the spatial pattern of thermal microclimate in a UK upland using a combined empirical-physical model. Agricultural and Forest Meteorology 150: 12-19.
12. Breshears DD, Ludwig JA. 2010. Near-ground solar radiation along the grassland-forest continuum: tall-tree canopy architecture imposes only muted trends and heterogeneity. Austral Ecology 35: 31-40.
13. Campbell GS, Norman JM. 1998. An Introduction to Environmental Biophysics. Springer-Verlag: New York.
14. Chen J, Saunders SC, Crow TR, Naiman RJ, Brosofske KD, Mroz GD, Brookshire BL, Franklin JF. 1999. Microclimate in forest ecosystem and landscape ecology: variations in local climate can be used to monitor and compare the effects of different management regimes. BioScience 49: 288-297.
15. Chung U, Seo HH, Hwang KH, Hwang BS, Choi J, Lee JT, Yun JI. 2006. Minimum temperature mapping over complex terrain by estimating cold air accumulation potential. Agricultural and Forest Meteorology 137: 15-24.
16. Daly C. 2006. Guidelines for assessing the suitability of spatial climate data sets. International Journal of Climatology 26: 707-721.
17. Daly C, Conklin DR, Unsworth MH. 2010. Local atmospheric decoupling in complex topography alters climate change impacts. International Journal of Climatology 30: 1857-1864.
18. Daly C, Smith JW, Smith JI, McKane RB. 2007. High-resolution spatial modeling of daily weather elements for a catchment in the Oregon Cascade Mountains, United States. Journal of Applied Meteorology and Climatology 46: 1565-1586.
19. DECC. 2008. NSW Interim Native Vegetation Extent (2008-Version 1). Report and data prepared by NSW Department of Environment and Climate Change for the National Land and Water Resources Audit Sydney, Australia.
20. Dobrowski SZ. 2011. A climatic basis for microrefugia: the influence of terrain on climate. Global Change Biology 17: 1022-1035.
21. Dobrowski SZ, Abatzoglou JT, Greenberg JA, Schladow SG. 2009. How much influence does landscape-scale physiography have on air temperature in a mountain environment? Agricultural and Forest Meteorology 149: 1751-1758.
22. Ferrier S, Watson G, Pearce J, Drielsma M. 2002. Extended statistical approaches to modelling spatial pattern in biodiversity in northeast New South Wales. I. Species-level modelling. Biodiversity and Conservation 11: 2275-2307.
23. Fridley JD. 2009. Downscaling climate over complex terrain: high finescale (<1000 m) spatial variation of near-ground temperatures in a montane forested landscape (Great Smoky Mountains). Journal of Applied Meteorology and Climatology 48: 1033-1049.
24. Geiger R. 1971. The Climate Near the Ground. Revised edn. Harvard Univ. Press: Cambridge.
25. Giesecke T, Miller PA, Sykes MT, Ojala AEK, Seppa H, Bradshaw RHW. 2010. The effect of past changes in inter-annual temperature variability on tree distribution limits. Journal of Biogeography 37: 1394-1405.
26. Grace J. 1987. Climatic tolerance and the distribution of plants. New Phytologist 106:(Suppl.) 113-130.
27. Gutiérrez Illán J, Gutiérrez D, Wilson RJ. 2010. The contributions of topoclimate and land cover to species distributions and abundance: fine-resolution tests for a mountain butterfly fauna. Global Ecology and Biogeography 19: 159-173.
28. Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A. 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.
29. Houlder D, Hutchinson M, Nix H, McMahon J. 2003. ANUCLIM 5.1 user's guide. Australian National University: Canberra.
30. Hughes L. 2000. Biological consequences of global warming: is the signal already apparent? Trends in Ecology and Evolution 15: 56-61.
31. IPCC. 2007. Climate change 2007: the physical science basis, AR4 synthesis report. Intergovernmental Panel on Climate Change. Available at: http://www.ipcc.ch (accessed 18 December 2009).
32. Kennedy AD. 1997. Bridging the gap between general circulation model (GCM) output and biological environments. International Journal of Biometeorology 40: 119-122.
33. Körner C. 2007. The use of 'altitude' in ecological research. Trends in Ecology and Evolution 22: 569-574.
34. Likso T. 2006. Estimation of air temperature at 5 cm above grassland at the Zagreb-Maksimir Observatory. Theoretical and Applied Climatology 85: 217-225.
35. Lookingbill T, Urban D. 2004. An empirical approach towards improved spatial estimates of soil moisture for vegetation analysis. Landscape Ecology 19: 417-433.
36. Lookingbill TR, Urban DL. 2003. Spatial estimation of air temperature differences for landscape-scale studies in montane environments. Agricultural and Forest Meteorology 114: 141-151.
37. Lu S, Ju Z, Ren T, Horton R. 2009. A general approach to estimate soil water content from thermal inertia. Agricultural and Forest Meteorology 149: 1693-1698.
38. Lundquist JD, Cayan DR. 2007. Surface temperature patterns in complex terrain: daily variations and long-term change in the central Sierra Nevada, California. Journal of Geophysical Research 112: D11124.
39. Lundquist JD, Huggett B. 2008. Evergreen trees as inexpensive radiation shields for temperature sensors. Water Resources Research 41: W00D04.
40. Lundquist JD, Pepin N, Rochford C. 2008. Automated algorithm for mapping regions of cold-air pooling in complex terrain. Journal of Geophysical Research 113: D22107.
41. McGregor GR. 2006. Climatology: its scientific nature and scope. International Journal of Climatology 26: 1-5.
42. Milionis AE, Davies TD. 2008. The effect of the prevailing weather on the statistics of atmospheric temperature inversions. International Journal of Climatology 28: 1385-1397.
43. Mitikka V, Heikkinen RK, Luoto M, Araújo MB, Saarinen K, Pöyry J, Fronzek S. 2008. Predicting range expansion of the map butterfly in Northern Europe using bioclimatic models. Biodiversity and Conservation 17: 623-641.
44. Pearson RG. 2006. Climate change and the migration capacity of species. Trends in Ecology and Evolution 21: 111-113.
45. Pearson RG, Dawson TP. 2003. Predicting the impacts of climate change on the distribution of species: are bioclimatic envelope models useful? Global Ecology and Biogeography 12: 361-371.
46. Pepin NC, Lundquist JD. 2008. Temperature trends at high elevations: patterns across the globe. Geophysical Research Letters 35: L14701.
47. Pierce Jr KB, Lookingbill T, Urban D. 2005. A simple method for estimating potential relative radiation (PRR) for landscape-scale vegetation analysis. Landscape Ecology 20: 137-147.
48. Pohlman CL, Turton SM, Goosem M. 2009. Temporal variation in microclimatic edge effects near powerlines, highways and streams in Australian tropical rainforest. Agricultural and Forest Meteorology 149: 84-95.
49. Retana J, Cerdá X. 2000. Patterns of diversity and composition of Mediterranean ground and communities tracking spatial and temporal variability in the thermal environment. Oecologia 123: 436-444.
50. Shoo LP, Storlie C, VanDerWal J, Little J, Williams SE. 2010. Targeted protection and restoration to conserve tropical biodiversity in a warming world. Global Change Biology 17: 186-193.
51. Soria-Auza RW, Kessler M, Bach K, Barajas-Barbosa PM, Lehnert M, Herzog SK, Böhner J. 2010. Impact of quality of climate models for modelling species occurrences in countries with poor climatic documentation: a case study from Bolivia. Ecological Modelling 221: 1221-1229.
52. Stahl K, Moore RD, Floyer JA, Asplin MG, McKendry IG. 2006b. Comparison of approaches from spatial interpolation of daily air temperature in a large region with complex topography and highly variable station density. Agricultural and Forest Meteorology 139: 224-236.
53. Stahl K, Moore RD, McKendry IG. 2006a. The role of synoptic-scale circulation in the linkage between large-scale ocean-atmosphere indices and winter surface climate in British Columbia, Canada. International Journal of Climatology 26: 541-560.
54. Suggitt AJ, Gillingham PK, Hill JK, Huntley B, Kunin WE, Roy DB, Thomas CD. 2011. Habitat microclimates drive fine-scale variation in extreme temperatures. Oikos 120: 1-8.
55. Thomas CD, Cameron A, Green RE, Bakkenes M, Beaumont LJ, Collingham YC, Erasmus BFN, de Siqueira MF, Grainger A, Hannah L, Hughes L, Huntley B, van Jaarsveld AS, Midgley GF, Miles L, Ortega-Huerta MA, Peterson AT, Phillips OL, Williams SE. 2004. Extinction risk from climate change. Nature 427: 145-148.
56. Thuiller W, Albert C, Araújo MB, Berry PM, Cabeza M, Guisan A, Hickler T, Midgley GF, Paterson J, Schurr FM, Sykes MT, Zimmermann NE. 2008. Predicting global change impacts on plant species' distributions: future challenges. Perspectives in Plant Ecology, Evolution and Systematics 9: 137-152.
57. Trivedi MR, Berry PM, Morecroft MD, Dawson TP. 2008. Spatial scale affects bioclimatic model projections of climate change impacts on mountain plants. Global Change Biology 14: 1089-1103.
58. VanDerWal J, Shoo LP, Williams SE. 2009. New approaches to understanding late Quaternary climate fluctuations and refugial dynamics in Australian wet tropical rain forests. Journal of Biogeography 36: 291-301.
59. Vanwalleghem T, Meentemeyer RK. 2009. Predicting forest microclimate in heterogeneous landscapes. Ecosystems 12: 1158-1172.
60. Van Niel KP, Laffan SW, Lees BG. 2004. Effect of error in the DEM on environmental variables for predictive vegetation modelling. Journal of Vegetation Science 15: 747-756.
61. Wolfe JN. 1945. The use of weather bureau data in ecological studies. Ohio Journal of Science 45: 1-12.