Targeted protection and restoration to conserve tropical biodiversity in a warming world
Version of Record online: 19 MAY 2010
© 2010 Blackwell Publishing Ltd
Global Change Biology
Volume 17, Issue 1, pages 186–193, January 2011
How to Cite
SHOO, L. P., STORLIE, C., VANDERWAL, J., LITTLE, J. and WILLIAMS, S. E. (2011), Targeted protection and restoration to conserve tropical biodiversity in a warming world. Global Change Biology, 17: 186–193. doi: 10.1111/j.1365-2486.2010.02218.x
- Issue online: 19 MAY 2010
- Version of Record online: 19 MAY 2010
- Received 12 January 2010 and accepted 10 March 2010
Figure S1. Prediction of maximum temperature taking into account multiple processes that operate at landscape and local scales to modify thermal regimes. Locations of weather stations used to build the models are indicated on the maximum temperature surface.
Figure S2. Variation in monthly maximum temperature explained by three models. Equation 1 is derived from a base set of predictor variables. Equation 2 and 3 included the addition of the predictor variables cloud and wind exposure respectively.
Figure S3. Spatial representation of the relative contribution of seven monthly surfaces that directly informed maximum temperature of any warmest period at each pixel. Of the monthly surfaces, January 2007 and December 2008 were the largest contributors and informed 30% and 44% of pixels respectively in the amalgamated surface.
Table S1. Statistics for monthly temperature models. Independent predictor variables for temperature found to be statistically significant at <0.05 level are highlighted in blue (negative effect) and red (positive effect). Note: I=intercept; B=slope of the regression line; P=significance of regression line; Adj Rsqr=adjusted r2; n=number of weather stations used in model.
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