{"help": "https://data.gov.au/data/api/3/action/help_show?name=package_show", "success": true, "result": {"author_email": null, "contact_point": "bioregionalassessments@bom.gov.au", "creator_user_id": "2846d45e-3969-4419-a085-84f5716ede91", "duplicate_score": 1, "geospatial_topic": [], "id": "21ebd2df-a065-412b-86a0-b40037743199", "isopen": false, "language": "eng", "license_id": "Creative Commons CC-BY 4.0", "license_title": "Creative Commons CC-BY 4.0", "maintainer": null, "maintainer_email": null, "metadata_created": "2021-09-22T00:54:41.014763", "metadata_modified": "2023-08-11T06:25:15.360961", "name": "f86f6b04-56b3-43b1-a622-bd70b1f9596d", "notes": "\n## **Abstract** \nThis dataset was compiled by the Geological and Bioregional Assessment Program from source data referenced within the dataset and/or metadata. Effective environmental impact assessment (EIA) relies on rigorous scientific assessment of all potential causal pathways by which large-scale developments may impact on valued assets in a region. Despite their importance to decision-making, many EIAs are flawed by incomplete analysis of causal pathways, limited spatial assessment and a lack of transparency about how risks have been evaluated across the region. To address these, we developed an EIA methodology based on network analysis of potential causal pathways in a given region. This network approach is coupled with a systematic evaluation of the likelihood, consequence and mitigation options for each causal pathway from one or more human activities to multiple valued assets. The method includes analysis of the confidence in these evaluations, recognizing where knowledge gaps constrain assessments of risks to particular assets. The causal network approach is complemented by a spatially explicit analysis of the region that allows residual risk (i.e. risk remaining after all feasible mitigations) to be mapped for all valued assets. This identifies which activities could lead to potential impacts of varying concern (rated from \u2018very low\u2019 to \u2018very 21 high\u2019), their likely pathways, which valued assets are at risk and where these residual risks are greatest. The output maps reveal \u2018risk hotspots\u2019 where more detailed local-scale assessments and monitoring should focus. This dataset contains the spreadsheets describing the causal network for the Beetaloo region and the spatial grids evaluating likelihood, consequence and mitigation. The dataset also contains a spreadsheet summarising the results and all output grids with the level of concern.\n\n\n## **Attribution** \nGeological and Bioregional Assessment Program\n\n\n## **History** \nThis dataset has the input spreadsheet describing the nodes and links in the Beetaloo causal network (BEE_input.xlsx) and the spreadsheet summarizing the results of the spatial causal network analysis (BEE_output.xlsx). The dataset also contains all the grids associated with the link evaluations (grids/input) as geotiff files. The filename corresponds to the entries in the gridname column in the input spreadsheet. The dataset also contains the output grids as geotiff files. These are stored in the directory grids/outputs, organised in a directory per endpoint. Each of these directories contains: 1. a png file of the subnetwork of links leading to that endpoint, 2. the overall impact grid (geotiff), 3. a heatmap of number of processes of concern for each endpoint (geotiff) and three subdirectories (activity, stressor, process) of the impact grids of the causal pathways that contain the activity, stressor or process.", "num_resources": 1, "num_tags": 1, "organization": {"id": "69f37b4c-bdf0-4c85-bd56-82fa6d6b087a", "name": "bioregional-assessment-program", "title": "Bioregional Assessment Program", "type": "organization", "description": "The Australian Government's bioregional assessments programs are a collaboration between the Department of Agriculture, Water and the Environment, the Bureau of Meteorology, CSIRO and Geoscience Australia. There are two separate programs of bioregional assessments.\r\n\r\nThe Bioregional Assessment Program (2012 - 2017) seeks to better understand the potential impacts of coal seam gas and large coal mining developments on water resources and water-related assets. It is one of a number of actions undertaken by the Australian Government to strengthen the science underpinning decision making on coal seam gas and large coal mining developments.\r\n\r\nThe Geological and Bioregional Assessment Program (2017 - 2021) assessed the potential impacts of shale and tight gas development on water and the environment. The Program assessed three priority geological basins: the Cooper Basin in Queensland and South Australia, the Isa Superbasin in Queensland and the Beetaloo Sub-basin in the Northern Territory (referred to as GBA regions", "image_url": "2015-10-30-051742.096388Bioregional-assessments-logo-800.jpg", "created": "2015-10-30T05:17:42.164347", "is_organization": true, "approval_status": "approved", "state": "active"}, "original_harvest_source": {"site_url": "https://data.gov.au/data/dataset/", "href": "https://data.gov.au/data/dataset/f86f6b04-56b3-43b1-a622-bd70b1f9596d", "title": "data.gov.au"}, "owner_org": "69f37b4c-bdf0-4c85-bd56-82fa6d6b087a", "private": false, "spatial_coverage": "POLYGON ((0 0, 0 0, 0 0, 0 0))", "state": "active", "temporal_coverage_from": "2021-09-22 00:54:41", "title": "Spatial causal network for the Beetaloo GBA region", "type": "dataset", "unpublished": false, "url": "https://dmp.bioregionalassessments.gov.aumetadata/F86F6B04-56B3-43B1-A622-BD70B1F9596D", "version": null, "extras": [{"key": "contact_info", "value": "false"}, {"key": "data_state", "value": "active"}, {"key": "field_of_research", "value": "[]"}, {"key": "jurisdiction", "value": "NONE"}, {"key": "update_freq", "value": "never"}], "resources": [{"Description": "BA Repo file attachment", "cache_last_updated": null, "cache_url": null, "created": "2021-09-22T00:54:41.044272", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "Data File", "format": "ZIP", "hash": "", "id": "4b27b55a-a74c-485e-a272-1427e740d907", "last_modified": "2021-09-21T00:00:00", "metadata_modified": "2023-08-11T06:25:15.370620", "mimetype": null, "mimetype_inner": null, "name": "F86F6B04-56B3-43B1-A622-BD70B1F9596D.zip", "package_id": "21ebd2df-a065-412b-86a0-b40037743199", "position": 0, "resource_type": null, "size": 16411362, "state": "active", "url": "https://s3.ap-southeast-2.amazonaws.com/gba.dmp/datasets/F86F6B04-56B3-43B1-A622-BD70B1F9596D/F86F6B04-56B3-43B1-A622-BD70B1F9596D.zip", "url_type": null, "zip_extract": false}], "tags": [{"display_name": "IMPACT ANALYSIS", "id": "af4ac08a-7ee4-46ee-91d2-f3ab0bea0166", "name": "IMPACT ANALYSIS", "state": "active", "vocabulary_id": null}], "groups": [], "relationships_as_subject": [], "relationships_as_object": []}}