Changes
On February 7, 2024 at 10:57:38 AM +1100, National Native Title Tribunal:
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Added resource Assessment of Swamp Sclerophyll Forest on Coastal Floodplains TEC on NSW Crown Forest Estate (South Coast Region) to Assessment of Swamp Sclerophyll Forest on Coastal Floodplains TEC on NSW Crown Forest Estate (South Coast Region)
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Added resource Operational and Indicative Maps for the Assessment of Threatened Ecological Communities on NSW Crown Forest Estate to Assessment of Swamp Sclerophyll Forest on Coastal Floodplains TEC on NSW Crown Forest Estate (South Coast Region)
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Added resource Data Quality Statement to Assessment of Swamp Sclerophyll Forest on Coastal Floodplains TEC on NSW Crown Forest Estate (South Coast Region)
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Added resource Native Forestry Map Viewer to Assessment of Swamp Sclerophyll Forest on Coastal Floodplains TEC on NSW Crown Forest Estate (South Coast Region)
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Added resource Assessment of Swamp Sclerophyll Forest on Coastal Floodplains TEC on NSW Crown Forest Estate (South Coast Region) to Assessment of Swamp Sclerophyll Forest on Coastal Floodplains TEC on NSW Crown Forest Estate (South Coast Region)
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Deleted resource Native Forestry Map Viewer from Assessment of Swamp Sclerophyll Forest on Coastal Floodplains TEC on NSW Crown Forest Estate (South Coast Region)
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Deleted resource Data Quality Statement from Assessment of Swamp Sclerophyll Forest on Coastal Floodplains TEC on NSW Crown Forest Estate (South Coast Region)
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Deleted resource Assessment of Swamp Sclerophyll Forest on Coastal Floodplains TEC on NSW Crown Forest Estate (South Coast Region) from Assessment of Swamp Sclerophyll Forest on Coastal Floodplains TEC on NSW Crown Forest Estate (South Coast Region)
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Deleted resource Assessment of Swamp Sclerophyll Forest on Coastal Floodplains TEC on NSW Crown Forest Estate (South Coast Region) from Assessment of Swamp Sclerophyll Forest on Coastal Floodplains TEC on NSW Crown Forest Estate (South Coast Region)
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Deleted resource Operational and Indicative Maps for the Assessment of Threatened Ecological Communities on NSW Crown Forest Estate from Assessment of Swamp Sclerophyll Forest on Coastal Floodplains TEC on NSW Crown Forest Estate (South Coast Region)
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19 | "license_title": "Creative Commons Attribution", | 19 | "license_title": "Creative Commons Attribution", | ||
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26 | "name": "assessment-of-swamp-sclerophyll-forest-tec-south", | 26 | "name": "assessment-of-swamp-sclerophyll-forest-tec-south", | ||
27 | "notes": "The operational map for Swamp Sclerophyll Forest (SSF) was | 27 | "notes": "The operational map for Swamp Sclerophyll Forest (SSF) was | ||
28 | constructed to resolve long-standing issues surrounding its | 28 | constructed to resolve long-standing issues surrounding its | ||
29 | identification, location and extent within the NSW State Forest estate | 29 | identification, location and extent within the NSW State Forest estate | ||
30 | covered by the coastal Integrated Forestry Operation Agreements. The | 30 | covered by the coastal Integrated Forestry Operation Agreements. The | ||
31 | map was constructed in two parts, with State Forests to the north of | 31 | map was constructed in two parts, with State Forests to the north of | ||
32 | Sydney being mapped in a separate process to those to the south of | 32 | Sydney being mapped in a separate process to those to the south of | ||
33 | Sydney. We did this to minimise the risk that relationships between | 33 | Sydney. We did this to minimise the risk that relationships between | ||
34 | regional vegetation communities and the TEC would be confounded or | 34 | regional vegetation communities and the TEC would be confounded or | ||
35 | masked by geographical variation or other major ecological gradients, | 35 | masked by geographical variation or other major ecological gradients, | ||
36 | which might otherwise be a significant risk if we had treated the full | 36 | which might otherwise be a significant risk if we had treated the full | ||
37 | latitudinal range of the TEC as a single study area. In total, we | 37 | latitudinal range of the TEC as a single study area. In total, we | ||
38 | assessed 1,218,000 hectares of State Forest across coastal NSW. This | 38 | assessed 1,218,000 hectares of State Forest across coastal NSW. This | ||
39 | consisted of 868,000 hectares of State Forest on the north coast and | 39 | consisted of 868,000 hectares of State Forest on the north coast and | ||
40 | more than 350,000 hectares of State Forest on the south coast.\r\nIn | 40 | more than 350,000 hectares of State Forest on the south coast.\r\nIn | ||
41 | both study areas, the project\u2019s Threatened Ecological Community | 41 | both study areas, the project\u2019s Threatened Ecological Community | ||
42 | (TEC) Reference Panel (the Panel) preceded the assessment process by | 42 | (TEC) Reference Panel (the Panel) preceded the assessment process by | ||
43 | reviewing the determination for SSF and agreeing upon a set of | 43 | reviewing the determination for SSF and agreeing upon a set of | ||
44 | diagnostic parameters for its identification. The Panel found that | 44 | diagnostic parameters for its identification. The Panel found that | ||
45 | SSF is primarily defined by floristic plot data and that it is mostly | 45 | SSF is primarily defined by floristic plot data and that it is mostly | ||
46 | located on coastal floodplains and associated alluvial | 46 | located on coastal floodplains and associated alluvial | ||
47 | landforms.\r\nFollowing on from these conclusions, we started the | 47 | landforms.\r\nFollowing on from these conclusions, we started the | ||
48 | mapping process by mapping the distribution of floodplains and | 48 | mapping process by mapping the distribution of floodplains and | ||
49 | alluvial soils and thus identifying possible areas of SSF. For both | 49 | alluvial soils and thus identifying possible areas of SSF. For both | ||
50 | the north and the south coast we used an existing map of coastal | 50 | the north and the south coast we used an existing map of coastal | ||
51 | landforms and geology in combination with several fine-scale models of | 51 | landforms and geology in combination with several fine-scale models of | ||
52 | alluvial landform features to determine the likely extent of | 52 | alluvial landform features to determine the likely extent of | ||
53 | floodplains and alluvial soils within our study areas. \r\nWe used | 53 | floodplains and alluvial soils within our study areas. \r\nWe used | ||
54 | aerial photograph interpretation (API) to assess the floristic and | 54 | aerial photograph interpretation (API) to assess the floristic and | ||
55 | structural attributes of the vegetation cover on our modelled alluvial | 55 | structural attributes of the vegetation cover on our modelled alluvial | ||
56 | environments, and thus delineated polygons likely to contain SSF. We | 56 | environments, and thus delineated polygons likely to contain SSF. We | ||
57 | also used API to modify the boundaries of the modelled alluvial areas | 57 | also used API to modify the boundaries of the modelled alluvial areas | ||
58 | using a prescribed list of eucalypt, casuarina and melaleuca species | 58 | using a prescribed list of eucalypt, casuarina and melaleuca species | ||
59 | in combination with the interpretation of landform elements relevant | 59 | in combination with the interpretation of landform elements relevant | ||
60 | to alluvial and floodplain environments.\r\nWe then compiled floristic | 60 | to alluvial and floodplain environments.\r\nWe then compiled floristic | ||
61 | plot data for all State Forest areas within our modelled alluvial | 61 | plot data for all State Forest areas within our modelled alluvial | ||
62 | landforms and API polygons. For both the north and the south coast the | 62 | landforms and API polygons. For both the north and the south coast the | ||
63 | floristic plot data was sourced from both existing flora surveys held | 63 | floristic plot data was sourced from both existing flora surveys held | ||
64 | in the OEH VIS database and from targeted flora surveys conducted | 64 | in the OEH VIS database and from targeted flora surveys conducted | ||
65 | specifically for this project. We compared these plots with those | 65 | specifically for this project. We compared these plots with those | ||
66 | previously assigned to flora communities listed in the determination | 66 | previously assigned to flora communities listed in the determination | ||
67 | of SSF. Both dissimilarity-based methods and multivariate regression | 67 | of SSF. Both dissimilarity-based methods and multivariate regression | ||
68 | methods were used for the comparison. The results of the comparison | 68 | methods were used for the comparison. The results of the comparison | ||
69 | were then used to assess the likelihood that the plots in State | 69 | were then used to assess the likelihood that the plots in State | ||
70 | forests belonged to one or more of the communities listed in the SSF | 70 | forests belonged to one or more of the communities listed in the SSF | ||
71 | determination.\r\nFollowing this, we developed a predictive | 71 | determination.\r\nFollowing this, we developed a predictive | ||
72 | statistical model of the probability of occurrence of SSF using plot | 72 | statistical model of the probability of occurrence of SSF using plot | ||
73 | data and a selection of environmental and remote-sensing variables. | 73 | data and a selection of environmental and remote-sensing variables. | ||
74 | For the north coast, we used a Random Forest model, while for the | 74 | For the north coast, we used a Random Forest model, while for the | ||
75 | south coast we used a Boosted Regression Tree model.\r\nTo create the | 75 | south coast we used a Boosted Regression Tree model.\r\nTo create the | ||
76 | operational map, we assigned every mapped API polygon to SSF if | 76 | operational map, we assigned every mapped API polygon to SSF if | ||
77 | appropriate based on the plot data, over-storey and understorey | 77 | appropriate based on the plot data, over-storey and understorey | ||
78 | attributes, landform features and modelled probabilities underlying | 78 | attributes, landform features and modelled probabilities underlying | ||
79 | each API polygon. In total, we mapped approximately 1131 hectares of | 79 | each API polygon. In total, we mapped approximately 1131 hectares of | ||
80 | SSF across out study area.\r\n\r\nOperational TEC Mapping have been | 80 | SSF across out study area.\r\n\r\nOperational TEC Mapping have been | ||
81 | derived by API at a viewing scale between 1-4000 using ADS40 50 cm | 81 | derived by API at a viewing scale between 1-4000 using ADS40 50 cm | ||
82 | pixel imagery and 1 m derived LIDAR DEM grids for floodplain EECs.", | 82 | pixel imagery and 1 m derived LIDAR DEM grids for floodplain EECs.", | ||
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85 | "organization": { | 85 | "organization": { | ||
86 | "approval_status": "approved", | 86 | "approval_status": "approved", | ||
87 | "created": "2018-06-15T18:51:39.525982", | 87 | "created": "2018-06-15T18:51:39.525982", | ||
88 | "description": "EPA is the primary environmental regulator for New | 88 | "description": "EPA is the primary environmental regulator for New | ||
89 | South Wales. Its purpose is to improve environmental performance and | 89 | South Wales. Its purpose is to improve environmental performance and | ||
90 | waste management\r\n\r\nEPA works with the community, business, | 90 | waste management\r\n\r\nEPA works with the community, business, | ||
91 | industry and government to maintain a balance between protecting the | 91 | industry and government to maintain a balance between protecting the | ||
92 | environment, managing competing demands on the environment and | 92 | environment, managing competing demands on the environment and | ||
93 | supporting sustainable growth.\r\n\r\nEPA provides information and | 93 | supporting sustainable growth.\r\n\r\nEPA provides information and | ||
94 | guidance about a broad range of environmental issues and activities. | 94 | guidance about a broad range of environmental issues and activities. | ||
95 | It engages with the community and uses social research to inform | 95 | It engages with the community and uses social research to inform | ||
96 | priorities, policies and programs. It publishes scientific research | 96 | priorities, policies and programs. It publishes scientific research | ||
97 | and monitors trends in the state of the environment, and offers advice | 97 | and monitors trends in the state of the environment, and offers advice | ||
98 | and incentives to help business and industry improve their | 98 | and incentives to help business and industry improve their | ||
99 | environmental performance.\r\n\r\nSee: http://www.epa.nsw.gov.au\r\n", | 99 | environmental performance.\r\n\r\nSee: http://www.epa.nsw.gov.au\r\n", | ||
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231 | } | 231 | } | ||
232 | ], | 232 | ], | ||
233 | "spatial": | 233 | "spatial": | ||
234 | [153.28049,-29.12537],[153.28049,-33.12446],[151.40437,-33.12446]]]}", | 234 | [153.28049,-29.12537],[153.28049,-33.12446],[151.40437,-33.12446]]]}", | ||
235 | "spatial_coverage": | 235 | "spatial_coverage": | ||
236 | [153.28049,-29.12537],[153.28049,-33.12446],[151.40437,-33.12446]]]}", | 236 | [153.28049,-29.12537],[153.28049,-33.12446],[151.40437,-33.12446]]]}", | ||
237 | "state": "active", | 237 | "state": "active", | ||
238 | "tags": [], | 238 | "tags": [], | ||
239 | "temporal_coverage_from": "2016-01-10", | 239 | "temporal_coverage_from": "2016-01-10", | ||
240 | "title": "Assessment of Swamp Sclerophyll Forest on Coastal | 240 | "title": "Assessment of Swamp Sclerophyll Forest on Coastal | ||
241 | Floodplains TEC on NSW Crown Forest Estate (South Coast Region)", | 241 | Floodplains TEC on NSW Crown Forest Estate (South Coast Region)", | ||
242 | "type": "dataset", | 242 | "type": "dataset", | ||
243 | "unpublished": "false", | 243 | "unpublished": "false", | ||
244 | "update_freq": "irregular", | 244 | "update_freq": "irregular", | ||
245 | "url": null, | 245 | "url": null, | ||
246 | "version": null | 246 | "version": null | ||
247 | } | 247 | } |