{"help": "https://data.gov.au/data/api/3/action/help_show?name=package_show", "success": true, "result": {"archived": false, "author_email": null, "contact_point": "unknown", "creator_user_id": "c2fbbe4a-4ba0-4945-808b-67454605a4cf", "duplicate_score": 2, "geospatial_topic": [], "id": "d94b0634-22c2-4b52-9bfc-fff25568e5c0", "isopen": false, "license_id": "cc-by", "license_title": "Creative Commons Attribution 3.0 Australia", "license_url": "http://creativecommons.org/licenses/by/3.0/au/", "maintainer": null, "maintainer_email": null, "metadata_created": "2025-06-24T16:47:42.170442", "metadata_modified": "2025-11-13T21:57:06.905561", "name": "nsw-phytophthora-distribution", "notes": "These maps are the output of a project investigating the distribution and risk of the pathogen Phytophthora cinnamomi in New South Wales. The distribution of P. cinnamomi was modelled with occurrence data and environmental layers of climate and soils using the modelling software MaxEnt. Presence records were used to model distribution while absence records were used to define the extent of modelling. Future distribution (to 2070) was also modelled using projected climate layers for two emissions scenarios (rcp 4.5 and 8.5), averaged over three climate models. Current and future risk were modelled by multiplying distribution layers with layers of susceptible threatened plants. The methodology used is described in McDougall &amp; Liew (2020) Quantifying the distribution and threat of Phytophthora cinnamomi in New South Wales: implications for its management in natural vegetation. Cunninghamia 20, 153-181. The distribution shapefile shows where P. cinnamomi has been detected in soil or plant samples (presences). 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