Table S1. Predicted and observed development times of immature H. merope under cycling temperatures. Observed development times were derived from weekly measurements of 48 larvae raised on potted Panic Veldt grass in a shade house in Melbourne over the winter of 2007. Cycling temperatures recorded in grass tussocks by temperature data loggers were converted to CTE and used to predict development times based on the fitted equations for thermal dependence of development rate for each life stage. Temperatures within individual grass tussocks varied, resulting in a range of predicted development times. Development Stage Egg Instar 1 Instar 2 Instar 3 Instar 4 Predicted development time (days) 19-20 19-26 21-23 24-27 29-32 Mean observed development time (days) 19.2 29.5 29.6 29.4 26.5 Range of observed development times (days) 8 - 25 18 - 43 20 - 44 23 - 40 22 - 34 Table S2. Climate model simulations used to assess the anthropogenic influence on historical climate in the Melbourne region. Data from four different coupled ocean-atmosphere models of the global climate were used. These data were made available through the World Climate Research Programme’s Climate Model Intercomparison Project 3 multi-model data archive at the Program for Climate Model Diagnostics and Intercomparison at the Lawrence Livermore National Laboratory, US (Meehl et al., 2007). Model ID Atmospheric resolution Control run length Number of 20th century simulations NCAR CCSM3 Reference ~1.4 x 1.4 horizontal; 26 levels 230 y 5 Collins, W.D., et al., 2006. J. Clim., 19, 2122–2143. CCCma CGCM3 ~2.8 x 2.8 horizontal; 31 levels 500 5 Flato, G.M., 2005 http://www.cccma.bc.ec.gc.ca/models/cgc m3.shtml. ECHAM5 ~1.9 x 1.9 horizontal; 31 levels 500 4 Jungclaus, J.H., et al., 2006. J. Clim., 19, 3952–3972. NCAR PCM ~2.8 x 2.8 horizontal; 26 levels 500 4 Washington, W.M., et al., 2000 Clim. Dyn., 16, 755–774. To assess whether the observed change in climate can be attributed to human influence, the observed April-October mean temperature trend for 1944-2007 from the high quality weather station at Laverton was compared with output from climate model simulations both including and excluding anthropogenic climate forcing for the single model grid box overlying Melbourne and Laverton. Anthropogenic climate forcing included observed increases in greenhouse gases and estimated variations of anthropogenic aerosols, while natural external climate forcing included estimated changes in solar irradiance and volcanic aerosols. Multi-member ensembles of simulations from the four climate models with prescribed changes in both anthropogenic and natural external climate forcing were used to provide regional temperature data for 1944-2007. The range of possible trends due to natural internal climate variability was estimated using the variability of 64-year trends of regional temperature from extended control model simulations (including only natural climate variation with no changes in external forcing). Meehl, G. A., et al., 2007. The WCRP CMIP3 Multimodel Dataset: A New Era in Climate Change Research, Bull. Am. Meteor. Soc., 88, 1383–1394. Figure S1. Observed and predicted hourly grass tussock temperatures at Melbourne, Victoria in a) June, b) July, and c) August. Temperatures predicted by the microclimate model did not differ significantly from the observed temperatures in any month (paired ttest t1,11= -1.136, P=0.201; July t1,11=2.11, P=0.059 ; August t1,11=1.46 , P=0.173). In contrast, air temperature (2m) was significantly higher than grass tussock temperature in all months (paired t-test: June, t1,11=16.275, P<0.001; July t1,11=29.866, P<0.001; August t1,11=22.845, P<0.001). Temperature (°C) a) b) c) Time (h)