In this study we developed potential ‘best’ and ‘worst’ case climate change impact distribution models for future cropping,  grazing and avocado production using species distribution modelling software. MaxEnt predicts the probability that an area will be suitable for agricultural production based on changes in the climate variables most appropriate for each commodity.  We chose the most appropriate climatic variables based on consultations with farmers, industry, NRM representatives and published literature. We considered two Global Climate Models (GCM) under the current (baseline) climate and the A1FI emission scenario for 2025 and 2035 representing: 1) a ‘worst’ warmer and drier future (CSIRO Mk3.5) and 2) a ‘best’ cooler and wetter future (CSIRO MIROC-M).

This study found that Agriculture in the North Coast LLS Region will be impacted by climate change.
Areas currently suitable for cropping are predicted to remain suitable in the northern half of the region under both GCMs.
Areas suitable for grazing are predicted to increase in the northern end and decrease in the southern end of the region under both GCMs. There is less overall impact of climate change on grazing, probably due to the widespread distribution of this commodity
Avocado suitability decreases to patchy areas throughout the region. Rainfall (May-October) was the most important predictor of cropping. Maximum temperature (November) was the most important variable for avocado production and average annual temperature was the most important predictor for grazing.
Understanding the spatial changes to agriculture under future climates can inform land management decisions at various scales.