Climate Vulnerability Assessment: Citrus

The **Climate Vulnerability Assessment** was designed to provide an overview of the impact of future climate change on all stages of production for the commodities and biosecurity risks assessed. The project used multicriteria analysis (MCA) models to produce assessments for the commodities and biosecurity risks in a consistent and comparable way, and a framework was developed to provide a rigorous, flexible and transparent process for assessing vulnerabilities and opportunities to climate change. Details of the approach and the climate data used in the assessments can be found in the [Methodology Report](https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports) which also details model exclusions and assumptions.\r\n\r\nAssessments were undertaken on commodities grouped into 6 nodes: *Horticulture and Viticulture*, *Broadacre Cropping*, *Forestry*, *Extensive Livestock*, *Marine Fisheries*, as well as for a set of biosecurity risks related to these primary industry sectors. The [Summary Report](https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports) gives details of the chosen commodities and biosecurity risks and summarises the high-level results.\r\n\r\nResults Reports for each commodity and biosecurity risk are being released. Visit the [project's web pages](https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment) to access these reports and for further information.\r\n\r\nThis dataset contains maps of modelled climate suitability for the **citrus** model in the Horticulture and Viticulture node of the DPIRD Climate Vulnerability Assessment. Maps are provided (in GeoTIFF format) for each element of the model: the overall climate suitability, climate suitability maps for each phenophase and also for each phenophase/climate variable combination in the model. Data is provided for each of the eight global climate models (GCMs) used in the project, as well as the climate suitability derived from historical observations, along with the ensemble median for each map.