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atasets.seed.nsw.gov.au/dataset/assessment-of-tablelands-snow-gum-tec"
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atasets.seed.nsw.gov.au/dataset/assessment-of-tablelands-snow-gum-tec"
            
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    }
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  "isopen": true,
            
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  "license_id": "cc-by",
            
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  "license_title": "Creative Commons Attribution",
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  "license_title": "Creative Commons Attribution",
            
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  "metadata_created": "2018-06-15T08:52:54.977774",
            
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  "metadata_modified": "2024-02-26T14:37:09.200785",
            
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  "name": "assessment-of-tablelands-snow-gum-tec",
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  "name": "assessment-of-tablelands-snow-gum-tec",
            
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  "notes": "The operational map for Tablelands Snow Gum, Black Sallee, 
27
  "notes": "The operational map for Tablelands Snow Gum, Black Sallee, 
            
28
Candlebark and Ribbon Gum Grassy Woodland (Tableland Snow Gum or TSG) 
28
Candlebark and Ribbon Gum Grassy Woodland (Tableland Snow Gum or TSG) 
            
29
was constructed to resolve long-standing issues surrounding its 
29
was constructed to resolve long-standing issues surrounding its 
            
30
identification, location and extent within the NSW State Forest estate 
30
identification, location and extent within the NSW State Forest estate 
            
31
covered by the eastern Regional Forest Agreements. The determination 
31
covered by the eastern Regional Forest Agreements. The determination 
            
32
of TSG was reviewed by the project\u2019s Threatened Ecological 
32
of TSG was reviewed by the project\u2019s Threatened Ecological 
            
33
Community (TEC) Reference Panel (the Panel), and a set of diagnostic 
33
Community (TEC) Reference Panel (the Panel), and a set of diagnostic 
            
34
parameters for identifying the TSG TEC was agreed upon. These 
34
parameters for identifying the TSG TEC was agreed upon. These 
            
35
parameters included the bioregions in which TSG is likely to be 
35
parameters included the bioregions in which TSG is likely to be 
            
36
located in, landscape features such as elevation and geology, and 
36
located in, landscape features such as elevation and geology, and 
            
37
quantitative floristic attributes from vegetation communities 
37
quantitative floristic attributes from vegetation communities 
            
38
explicitly listed in the determination.\r\nUsing these diagnostic 
38
explicitly listed in the determination.\r\nUsing these diagnostic 
            
39
parameters, we defined the study area as being all IBRA subregions 
39
parameters, we defined the study area as being all IBRA subregions 
            
40
that cover the 600-1400m elevation range within the South Eastern 
40
that cover the 600-1400m elevation range within the South Eastern 
            
41
Highlands, Sydney Basin, South East Corner and Australian Alps 
41
Highlands, Sydney Basin, South East Corner and Australian Alps 
            
42
bioregions. We then compiled floristic plot data for all State Forest 
42
bioregions. We then compiled floristic plot data for all State Forest 
            
43
areas within our study area. Floristic plot data was sourced from both 
43
areas within our study area. Floristic plot data was sourced from both 
            
44
existing flora surveys held in the OEH VIS database and from targeted 
44
existing flora surveys held in the OEH VIS database and from targeted 
            
45
flora surveys conducted specifically for this project. We compared 
45
flora surveys conducted specifically for this project. We compared 
            
46
these plots with those previously assigned to flora communities listed 
46
these plots with those previously assigned to flora communities listed 
            
47
in the determination of TSG. Both dissimilarity-based methods and 
47
in the determination of TSG. Both dissimilarity-based methods and 
            
48
multivariate regression methods were used for the comparison. The 
48
multivariate regression methods were used for the comparison. The 
            
49
results of the comparison were then used to assess the likelihood that 
49
results of the comparison were then used to assess the likelihood that 
            
50
the plots in State forests belonged to one or more of the communities 
50
the plots in State forests belonged to one or more of the communities 
            
51
listed in the TSG determination.\r\nWe also conducted presence-absence 
51
listed in the TSG determination.\r\nWe also conducted presence-absence 
            
52
predictive distribution modelling to identify potential distributions 
52
predictive distribution modelling to identify potential distributions 
            
53
of each of the primary vegetation communities cited in the 
53
of each of the primary vegetation communities cited in the 
            
54
determination for TSG. The modelling predicted the likelihood of 
54
determination for TSG. The modelling predicted the likelihood of 
            
55
occurrence for each community across State Forests in the study area 
55
occurrence for each community across State Forests in the study area 
            
56
based on a modelled relationship with environmental and remotely 
56
based on a modelled relationship with environmental and remotely 
            
57
sensed variables. As such, the modelling assisted in identifying 
57
sensed variables. As such, the modelling assisted in identifying 
            
58
un-surveyed areas of potential TSG habitat and guiding follow-up 
58
un-surveyed areas of potential TSG habitat and guiding follow-up 
            
59
survey efforts and aerial photography interpretation (API) 
59
survey efforts and aerial photography interpretation (API) 
            
60
work.\r\nAPI assessment was carried out for all State Forests where 
60
work.\r\nAPI assessment was carried out for all State Forests where 
            
61
the predictive modelling identified areas with high 
61
the predictive modelling identified areas with high 
            
62
probability-of-occurrence values. We used recent high resolution 
62
probability-of-occurrence values. We used recent high resolution 
            
63
stereo digital imagery in a digital 3D GIS environment to delineate 
63
stereo digital imagery in a digital 3D GIS environment to delineate 
            
64
areas of potential TSG based on observable patterns in canopy species 
64
areas of potential TSG based on observable patterns in canopy species 
            
65
dominance, understorey characteristics and landform elements. \r\nWe 
65
dominance, understorey characteristics and landform elements. \r\nWe 
            
66
constructed the operational map by assigning our API polygons as being 
66
constructed the operational map by assigning our API polygons as being 
            
67
TSG based on the extent to which the floristic plots within or near to 
67
TSG based on the extent to which the floristic plots within or near to 
            
68
each API polygon belonged to TSG. We used a precautionary approach and 
68
each API polygon belonged to TSG. We used a precautionary approach and 
            
69
assessed a mapped polygon as TSG if the map unit to which it belonged 
69
assessed a mapped polygon as TSG if the map unit to which it belonged 
            
70
contained any TSG plot. \r\n\r\n\r\nOperational TEC Mapping have been 
70
contained any TSG plot. \r\n\r\n\r\nOperational TEC Mapping have been 
            
71
derived by API at a viewing scale between 1-4000 using ADS40 50 cm 
71
derived by API at a viewing scale between 1-4000 using ADS40 50 cm 
            
72
pixel imagery and 1 m derived LIDAR DEM grids for floodplain EECs.",
72
pixel imagery and 1 m derived LIDAR DEM grids for floodplain EECs.",
            
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    "created": "2018-06-15T18:51:39.525982",
            
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    "description": "EPA is the primary environmental regulator for New 
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    "description": "EPA is the primary environmental regulator for New 
            
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South Wales. Its purpose is to improve environmental performance and 
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South Wales. Its purpose is to improve environmental performance and 
            
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waste management\r\n\r\nEPA works with the community, business, 
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waste management\r\n\r\nEPA works with the community, business, 
            
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industry and government to maintain a balance between protecting the 
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industry and government to maintain a balance between protecting the 
            
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environment, managing competing demands on the environment and 
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environment, managing competing demands on the environment and 
            
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supporting sustainable growth.\r\n\r\nEPA provides information and 
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supporting sustainable growth.\r\n\r\nEPA provides information and 
            
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guidance about a broad range of environmental issues and activities. 
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guidance about a broad range of environmental issues and activities. 
            
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It engages with the community and uses social research to inform 
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It engages with the community and uses social research to inform 
            
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priorities, policies and programs. It publishes scientific research 
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priorities, policies and programs. It publishes scientific research 
            
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and monitors trends in the state of the environment, and offers advice 
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and monitors trends in the state of the environment, and offers advice 
            
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and incentives to help business and industry improve their 
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and incentives to help business and industry improve their 
            
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environmental performance.\r\n\r\nSee: http://www.epa.nsw.gov.au\r\n",
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environmental performance.\r\n\r\nSee: http://www.epa.nsw.gov.au\r\n",
            
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Candlebark and Ribbon Gum Grassy Woodland TEC on NSW Crown Forest 
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Candlebark and Ribbon Gum Grassy Woodland TEC on NSW Crown Forest 
            
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Estate",
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      "name": "Operational Map for Tablelands Snow Gum, Black Sallee, 
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      "name": "Operational Map for Tablelands Snow Gum, Black Sallee, 
            
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Candlebark and Ribbon Gum Grassy Woodland Threatened Ecological 
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Candlebark and Ribbon Gum Grassy Woodland Threatened Ecological 
            
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Candlebark and Ribbon Gum Grassy Woodland TEC on NSW Crown Forest 
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