Fig 1.
Geographic location and topography of Malawi based on Shuttle Radar Topography Mission digital elevation model data.
Fig 2.
a) Average annual temperature (oC) and b) Precipitation (mm) of Malawi based on WorldClim-global climate data.
Fig 3.
Map of Malawi showing macadamia occurrence points and pseudo absent points.
Table 1.
Bioclimatic variables used in the final suitability model and their variance inflation factor (VIF).
Table 2.
Performance evaluation of the ensemble model.
Fig 4.
The importance of a variable in explaining macadamia suitability in Malawi.
Data is obtained from the averages of the 18 species distribution model algorithms.
Fig 5.
Current suitability for macadamia production in Malawi.
The model results were exported into Arc GIS Pro Software version 2.5 to generate the map in this figure.
Table 3.
Area and percentage suitable for growing macadamia under current climatic conditions.
Fig 6.
Shifts in macadamia suitability due to climate change by 2050 (a) RCP 4.5 (b) RCP 8.5. The model results were exported into Arc GIS Pro Software Version 2.5 to generate the map in this figure.
Table 4.
Simulated impacts of climate change on macadamia suitability in Malawi.
Fig 7.
Percentage of predicted suitable areas for macadamia production using current and future climate scenarios.