20250218 11332800 1.0 TRUE TRUE Preliminary_Analysis_Area In January, the Minister for the Environment established the Wildlife and Threatened Species Bushfire Recovery Expert Panel to inform the delivery of the Australian Government’s response to the fire events, including priority emergency actions to support impacted animals, plants, and ecosystems, as well as medium and long term responses required to support the recovery of Australia’s environment. To support the Expert Panel’s deliberations the Department saw a need to filter the National Indicative Aggregated Fire Extent Dataset (NIAFED) [1] given the regularity of fire in northern Australia. To focus the attention of the analysis and recovery effort on the areas where environmental impacts were likely to be most significant, a southern Preliminary Analysis Area was rapidly derived, based on Interim Biogeographic Regionalisation for Australia (IBRA) version 7.0 regions [2] and published in January 2020 [3].[1] http://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7B9ACDCB09-0364-4FE8-9459-2A56C792C743%7D[2] http://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7B4A2321F0-DD57-454E-BE34-6FD4BDE64703%7D[3] http://www.environment.gov.au/biodiversity/bushfire-recovery/research-and-resources Downloadable Data ECOLOGY Landscape BOUNDARIES Biophysical IBRA 7.0 based preliminary analysis area for the 2019-20 bushfires in southern Australia. Derived from the Interim Biogeographic Regionalisation for Australia (IBRA) version 7.0 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAorzb4h6n4l8OeIdM1nTZZ5NMZRBLbBd6GQk4yuQeQRg+o+gPd6 Pq1vrelw39qHWOQHKSLtZGBwVYdiDkUAXqKKKACiiigAooooAKKKKACiiigAooooAgvLuGwsZ7y5 fZBBG0sjYJwqjJ4HJ4FT1W1Gwg1TTrmwuQTBcRtG+04OCMcHsa4fQbvxFasz/wBqtrdlZTtDcQCN DM0ZBZZVbgt1Tj2cDcQKAPQaKo6XrFjrMMsthMZFikMUgaNkZWABwQwB6EH8avUAFFFFABRRRQAU UUUAFc74y1jUND0eG8sFgGLlEnluFJjijOcs23nGdoJGcbs9q6Kquo6da6rYS2N7EJbeUAOh6HBy P1AoA4zUovFfia3j0q80+DTre4uTIb62kSdYolUsnVg2/eF+YAcEdDS6Rpk/w6SY3F39p0Ka5d3l PytaFyApfruXgAsMYySQRyNLQXvdJ1W38ONeQ6jaw2e8SrGEktwpVUR8Eg5B4PB+U9a6HUbc3emX dsERzNC8YWT7rZUjB9qADT76DU9Otr+2LGC4jWWMsMEqwyOKs1ieD7l7rwjpjyR+VIkIhdN27DRk oefqprboAKKKKACiiigAooooAKKKKACiiigArnZbeDR/FljPDGILe/imt5dvCvNuEseffmfHu3vX RVzHiueF7/QdOl+QzXyXCzPIERfKdTtJJ5ZtwAXvz6UAWtS8NLeXNzdWep32nXNwELtbOArOnCsy 45OMAjPIAB4qM3fiTSiourSLWYm+VXsEEEqn/aWR9pHuGHPbvWxf6jZaXatdX93DawLwZJnCrn0y e/tWLJ4ytks1vF0rWJLRtu2ZLM4IbGCFJ3Y5HagCLUL/AF/UhHYWei32nCeRVlvJpoP3UWfnK7HY h8cLx1OeMVbPhDSlG63+2Ws3UTwXkqvn1J3EN/wIHPfNUotU1jxHevb6fFd6NZRL++uLq0Hns+R8 sas2F+XncVYc8dKuDwlYyIqXd1qd6gzlLm+kZWJ6kqCAfpjA7CgDPmvLrRJyIvE+nXsJUD7Pqs8c Uitn+GRAODnGGU+x7VuaPrMWrQyfunt7qEhZ7aQYaMnp7Mp6hhwRUkGjaXbReVBptnFHjG1IFA/l XH+J/h3pskY1TRop7PU7XDQrayFA/wAwO3r8vGQCCAufQUAdzcrO1rMts6JcFGETyLuVWxwSOMjP auD0PxbrqJZ3niT7Ha6YY5opJ0RnLTRuE5I4TJD4GMfL6nimfGl3Zaar218NUMcLvd2rhVktUVtr Fp1IBIOQDtJbAPvXY+DZIZfBukNDJDIBbIHaH7pcDD/juzn3zQBQPjm2tvIutTs5bDSbpzHa30zc SHnG5cZQMASCew5xViSbVfEls0dpGdM0yZcG4nU/aJUPXYn/ACzyMgM3P+z0Nb01tBcmIzwRy+U4 kj3oG2OOjDPQ8nn3qWgCpp2l2GkWi2unWcNrAv8ABEgXPufU+55p2o3i6fpl3esARbwvKQTjO0E4 z+FWa5a9EvijXLjSdxTSNPaM3hC5+0y8OIs9lUbS3c7gPWgDT8M2f2Dw1p8DENJ5IkkYAjc7fM55 55Ziea1qKKACiiigAooooAKKKKACiiigAooooAKiuLeC7t5Le5hSaGRSrxyKGVh6EHrUtFAGNaeE 9Csb5L2306JbiPPluxZtmepUEkA+45rZoooAKKKKACiiigDivFvw5s/Ebiazmi0y5dgbiRIN4uAO QGXcFPPOSD29Km02wm8H32n2QvpLqy1CV0lM0aIIptpYMpUDAbbtCHPUYPBz19Q3Vrb3ttJbXUKT QyDDI4yDQBNSAgkgEHHB9q56fw2LKCWbS9S1a1dUbbFFcGZccnascu5R6DGMcVzmmeGoXWebw1rl 7perSLGdQtZpVmKsyqzBwwO1/wDaA4ORjtQB2+qataaTYXN1cTxL5ETSbHkClsDOOfXpVXwxp/8A Z+gWyyMz3M6i4uZHzl5nGXPPTnoOwAFYvhhNCl1K/wBLGkQpqmmujXE8iiUyu3IkEjfMx9c9K7Kg AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuF1bTtG0jxHdXetW dr/ZF6omF1LHkxXI4ZSwGQrKFOCcZB9cV3VFAHEeBmW/1XVdVtNGGlaW8cNtaRGDyTIqF2L7RxyZ Mcen1rt6KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKAP/9k=