Forecasting the Influence of Climate Change on Agroecosystem Services: Potential Impacts on Honey Yields in a Small-Island Developing State

Table 1

Bioclimatic variables calculated by BIOCLIM software and used in the stepwise multiple regressions to produce the four honey yield predictive models.

BIOCLIM variable	Description	Type
Bio 1	Annual mean temperature (°C)	Annual trend
Bio 2^1,2	Mean monthly range (°C)	Seasonality
Bio 3^1,2	Isothermality (Bio 2/Bio 7)	Seasonality
Bio 4^1,2,3,4	Temperature seasonality (CV×100)	Seasonality
Bio 5^1,2,3,4	Maximum temperature of warmest month (°C)	Extreme conditions
Bio 6^1,2,3,4	Minimum temperature of coldest month (°C)	Extreme conditions
Bio 7	Temperature annual range (Bio5-Bio6) (°C)	Seasonality
Bio 8^1,2,3,4	Mean temperature of wettest quarter (°C)	Extreme conditions
Bio 9^1,2,4	Mean temperature of driest quarter (°C)	Extreme conditions
Bio 10	Mean temperature of warmest quarter (°C)	Extreme conditions
Bio 11	Mean temperature of coldest quarter (°C)	Extreme conditions
Bio 12	Annual precipitation (mm)	Annual trend
Bio 13^1,2,3,4	Precipitation of wettest month (mm)	Extreme conditions
Bio 14^1,2,4	Precipitation of driest month (mm)	Extreme conditions
Bio 15^1,2,3,4	Precipitation seasonality (CV×100)	Seasonality
Bio 16^4	Precipitation of wettest quarter (mm)	Extreme conditions
Bio 17^1,2,3,4	Precipitation of driest quarter (mm)	Extreme conditions
Bio 18^1,2,3,4	Precipitation of warmest quarter (mm)	Extreme conditions
Bio 19	Precipitation of coldest quarter (mm)	Extreme conditions

A quarter represents a 3-month period. The superscripts indicate the variables that were preselected by PCA and VIF analyses based on multicollinearity to enter the models (see text).