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On 2024년 2월 27일 AM 1시 6분 37초 +1100,
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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 Lowland Grassy Woodland, Brogo Wet Vine Forest And Dry Rainforests of The South East Forests TECs on NSW Crown Forest Estate
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Added resource Indicative Map for Lowland Grassy Woodland Threatened Ecological Community on NSW Crown Forest Estate to Assessment of Lowland Grassy Woodland, Brogo Wet Vine Forest And Dry Rainforests of The South East Forests TECs on NSW Crown Forest Estate
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Added resource Assessment of Lowland Grassy Woodland, Brogo Wet Vine Forest And Dry Rainforests of The South East Forests TECs on NSW Crown Forest Estate to Assessment of Lowland Grassy Woodland, Brogo Wet Vine Forest And Dry Rainforests of The South East Forests TECs on NSW Crown Forest Estate
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Added resource Operational Map for Brogo Wet Vine Forest Threatened Ecological Community on NSW Crown Forest Estate to Assessment of Lowland Grassy Woodland, Brogo Wet Vine Forest And Dry Rainforests of The South East Forests TECs on NSW Crown Forest Estate
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Added resource Native Forestry Map Viewer to Assessment of Lowland Grassy Woodland, Brogo Wet Vine Forest And Dry Rainforests of The South East Forests TECs on NSW Crown Forest Estate
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Added resource Data Quality Statement to Assessment of Lowland Grassy Woodland, Brogo Wet Vine Forest And Dry Rainforests of The South East Forests TECs on NSW Crown Forest Estate
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Added resource Operational Map for Dry Rainforest of the South East Forests Threatened Ecological Community on NSW Crown Forest Estate to Assessment of Lowland Grassy Woodland, Brogo Wet Vine Forest And Dry Rainforests of The South East Forests TECs on NSW Crown Forest Estate
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Deleted resource Operational Map for Dry Rainforest of the South East Forests Threatened Ecological Community on NSW Crown Forest Estate from Assessment of Lowland Grassy Woodland, Brogo Wet Vine Forest And Dry Rainforests of The South East Forests TECs on NSW Crown Forest Estate
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Deleted resource Native Forestry Map Viewer from Assessment of Lowland Grassy Woodland, Brogo Wet Vine Forest And Dry Rainforests of The South East Forests TECs on NSW Crown Forest Estate
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Deleted resource Assessment of Lowland Grassy Woodland, Brogo Wet Vine Forest And Dry Rainforests of The South East Forests TECs on NSW Crown Forest Estate from Assessment of Lowland Grassy Woodland, Brogo Wet Vine Forest And Dry Rainforests of The South East Forests TECs on NSW Crown Forest Estate
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Deleted resource Data Quality Statement from Assessment of Lowland Grassy Woodland, Brogo Wet Vine Forest And Dry Rainforests of The South East Forests TECs on NSW Crown Forest Estate
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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 Lowland Grassy Woodland, Brogo Wet Vine Forest And Dry Rainforests of The South East Forests TECs on NSW Crown Forest Estate
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Deleted resource Operational Map for Brogo Wet Vine Forest Threatened Ecological Community on NSW Crown Forest Estate from Assessment of Lowland Grassy Woodland, Brogo Wet Vine Forest And Dry Rainforests of The South East Forests TECs on NSW Crown Forest Estate
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Deleted resource Indicative Map for Lowland Grassy Woodland Threatened Ecological Community on NSW Crown Forest Estate from Assessment of Lowland Grassy Woodland, Brogo Wet Vine Forest And Dry Rainforests of The South East Forests TECs on NSW Crown Forest Estate
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18 | "license_id": "cc-by", | 18 | "license_id": "cc-by", | ||
19 | "license_title": "Creative Commons Attribution", | 19 | "license_title": "Creative Commons Attribution", | ||
20 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | 20 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | ||
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24 | "metadata_created": "2018-06-15T08:52:41.790085", | 24 | "metadata_created": "2018-06-15T08:52:41.790085", | ||
n | 25 | "metadata_modified": "2024-02-26T13:55:53.860893", | n | 25 | "metadata_modified": "2024-02-26T14:06:37.379543", |
26 | "name": | 26 | "name": | ||
27 | -lowland-grassy-woodland-brogo-wetvine-forest-and-dry-rainforest-tec", | 27 | -lowland-grassy-woodland-brogo-wetvine-forest-and-dry-rainforest-tec", | ||
28 | "notes": "Indicative map for Lowland Grassy Woodland:\r\n\r\nThe | 28 | "notes": "Indicative map for Lowland Grassy Woodland:\r\n\r\nThe | ||
29 | indicative map for Lowland Grassy Woodland was constructed to resolve | 29 | indicative map for Lowland Grassy Woodland was constructed to resolve | ||
30 | long-standing issues surrounding its identification, location and | 30 | long-standing issues surrounding its identification, location and | ||
31 | extent within the NSW State Forest estate covered by the eastern | 31 | extent within the NSW State Forest estate covered by the eastern | ||
32 | Regional Forest Agreements. The determination of Lowland Grassy | 32 | Regional Forest Agreements. The determination of Lowland Grassy | ||
33 | Woodland was reviewed by the project\u2019s Threatened Ecological | 33 | Woodland was reviewed by the project\u2019s Threatened Ecological | ||
34 | Community (TEC) Reference Panel (the Panel), and a set of diagnostic | 34 | Community (TEC) Reference Panel (the Panel), and a set of diagnostic | ||
35 | parameters for the identifying the Lowland Grassy Woodland TEC was | 35 | parameters for the identifying the Lowland Grassy Woodland TEC was | ||
36 | agreed upon.\r\nUsing these diagnostic parameters, we sampled | 36 | agreed upon.\r\nUsing these diagnostic parameters, we sampled | ||
37 | candidate areas from existing vegetation maps to identify potential | 37 | candidate areas from existing vegetation maps to identify potential | ||
38 | areas of Lowland Grassy Woodland occurrence in 296 000 hectares of | 38 | areas of Lowland Grassy Woodland occurrence in 296 000 hectares of | ||
39 | State Forest and undertook additional mapping work using two | 39 | State Forest and undertook additional mapping work using two | ||
40 | independent mapping methods. Random Forest models (predictive habitat | 40 | independent mapping methods. Random Forest models (predictive habitat | ||
41 | models) were generated using plot data and a selection of | 41 | models) were generated using plot data and a selection of | ||
42 | environmental variables. Aerial photo interpretation targeted stands | 42 | environmental variables. Aerial photo interpretation targeted stands | ||
43 | of forests dominated by Eucalyptus tereticornis to refine the | 43 | of forests dominated by Eucalyptus tereticornis to refine the | ||
44 | potential boundaries of Lowland Grassy Woodland.\r\nWe tested whether | 44 | potential boundaries of Lowland Grassy Woodland.\r\nWe tested whether | ||
45 | Lowland Grassy Woodland was present in State Forest by completing | 45 | Lowland Grassy Woodland was present in State Forest by completing | ||
46 | systematic plot surveys within mapped areas indicating potential | 46 | systematic plot surveys within mapped areas indicating potential | ||
47 | presence. We compared our collected data to a large regional pool of | 47 | presence. We compared our collected data to a large regional pool of | ||
48 | plot data that contained a subset of plots assigned to vegetation map | 48 | plot data that contained a subset of plots assigned to vegetation map | ||
49 | units cited in the determination for the Lowland Grassy Woodland TEC | 49 | units cited in the determination for the Lowland Grassy Woodland TEC | ||
50 | (see Gellie 2005, Tozer et al 2006, and Keith and Bedward 1999). Our | 50 | (see Gellie 2005, Tozer et al 2006, and Keith and Bedward 1999). Our | ||
51 | analysis of data confidently assigned only a few plots in State Forest | 51 | analysis of data confidently assigned only a few plots in State Forest | ||
52 | to Lowland Grassy Woodland (2/43).\r\nFrom these results, we were | 52 | to Lowland Grassy Woodland (2/43).\r\nFrom these results, we were | ||
53 | unable to construct an operational map for Lowland Grassy Woodland. | 53 | unable to construct an operational map for Lowland Grassy Woodland. | ||
54 | The relationship between the existing mapping cited in the | 54 | The relationship between the existing mapping cited in the | ||
55 | determination and the plot data on State Forest was not strong enough | 55 | determination and the plot data on State Forest was not strong enough | ||
56 | to be a reliable basis for mapping the TEC. We also found that | 56 | to be a reliable basis for mapping the TEC. We also found that | ||
57 | Eucalyptus tereticornis could not reliably be used as an indicator of | 57 | Eucalyptus tereticornis could not reliably be used as an indicator of | ||
58 | Lowland Grassy Woodland in State forests. As a result, we were unable | 58 | Lowland Grassy Woodland in State forests. As a result, we were unable | ||
59 | to map this TEC from the few confirmed sampling points without | 59 | to map this TEC from the few confirmed sampling points without | ||
60 | including a significant area of forest that was highly unlikely to be | 60 | including a significant area of forest that was highly unlikely to be | ||
61 | Lowland Grassy Woodland. However, we created indicative maps of | 61 | Lowland Grassy Woodland. However, we created indicative maps of | ||
62 | Lowland Grassy Woodland by merging our predictive and API maps to | 62 | Lowland Grassy Woodland by merging our predictive and API maps to | ||
63 | provide an indication of the likely extent of Lowland Grassy Woodland | 63 | provide an indication of the likely extent of Lowland Grassy Woodland | ||
64 | in State Forests.\r\n\r\nOperational map for Brogo Wet Vine | 64 | in State Forests.\r\n\r\nOperational map for Brogo Wet Vine | ||
65 | Forest:\r\n\r\nThe operational map for Brogo Wet Wine Forest (BWVF) | 65 | Forest:\r\n\r\nThe operational map for Brogo Wet Wine Forest (BWVF) | ||
66 | was constructed to resolve long-standing issues surrounding its | 66 | was constructed to resolve long-standing issues surrounding its | ||
67 | identification, location and extent within the NSW State Forest estate | 67 | identification, location and extent within the NSW State Forest estate | ||
68 | covered by the eastern Regional Forest Agreements. We assessed whether | 68 | covered by the eastern Regional Forest Agreements. We assessed whether | ||
69 | BWVF was likely to be present in more than 296 000 hectares of State | 69 | BWVF was likely to be present in more than 296 000 hectares of State | ||
70 | Forest in the South-east Corner Bioregion.\r\nThe project\u2019s | 70 | Forest in the South-east Corner Bioregion.\r\nThe project\u2019s | ||
71 | Threatened Ecological Community (TEC) Reference Panel (the Panel) | 71 | Threatened Ecological Community (TEC) Reference Panel (the Panel) | ||
72 | preceded the assessment process by reviewing the determination for | 72 | preceded the assessment process by reviewing the determination for | ||
73 | BWVF and reaching an agreed interpretation of floristic, environmental | 73 | BWVF and reaching an agreed interpretation of floristic, environmental | ||
74 | and distributional characteristics. The Panel found that BWVF is | 74 | and distributional characteristics. The Panel found that BWVF is | ||
75 | primarily defined by a source vegetation community derived from | 75 | primarily defined by a source vegetation community derived from | ||
76 | quantitative floristic plot data (Keith and Bedward, 1999), with | 76 | quantitative floristic plot data (Keith and Bedward, 1999), with | ||
77 | additional defining characteristics relating to bioregion and | 77 | additional defining characteristics relating to bioregion and | ||
78 | elevation.\r\nThe Panel\u2019s interpretation resulted in the | 78 | elevation.\r\nThe Panel\u2019s interpretation resulted in the | ||
79 | identification of all State Forests located below an elevation | 79 | identification of all State Forests located below an elevation | ||
80 | threshold of 550 metres within the South East Corner Bioregion as | 80 | threshold of 550 metres within the South East Corner Bioregion as | ||
81 | potentially containing BWVF. We identified other potential areas of | 81 | potentially containing BWVF. We identified other potential areas of | ||
82 | BWVF by overlaying the cited vegetation maps and any State Forest | 82 | BWVF by overlaying the cited vegetation maps and any State Forest | ||
83 | mapping where vegetation was dominated by or includes Eucalyptus | 83 | mapping where vegetation was dominated by or includes Eucalyptus | ||
84 | tereticornis (a defining species of BWVF).\r\nWithin these state | 84 | tereticornis (a defining species of BWVF).\r\nWithin these state | ||
85 | forests, we used aerial photo interpretation (API) to identify and | 85 | forests, we used aerial photo interpretation (API) to identify and | ||
86 | delineate potential areas of BWVF based on structural characteristics | 86 | delineate potential areas of BWVF based on structural characteristics | ||
87 | and overstorey and understorey attributes, namely dominance or | 87 | and overstorey and understorey attributes, namely dominance or | ||
88 | inclusion of Eucalyptus tereticornis. \r\nWe then compiled floristic | 88 | inclusion of Eucalyptus tereticornis. \r\nWe then compiled floristic | ||
89 | plot data for all State Forest areas within our study area. The | 89 | plot data for all State Forest areas within our study area. The | ||
90 | floristic plot data was sourced from both existing flora surveys held | 90 | floristic plot data was sourced from both existing flora surveys held | ||
91 | in the OEH VIS database and from targeted flora surveys conducted | 91 | in the OEH VIS database and from targeted flora surveys conducted | ||
92 | specifically for this project. We used multivariate analysis to | 92 | specifically for this project. We used multivariate analysis to | ||
93 | compare plots assigned to vegetation communities identified as BWVF in | 93 | compare plots assigned to vegetation communities identified as BWVF in | ||
94 | the determination to all other plots in the study area. We used | 94 | the determination to all other plots in the study area. We used | ||
95 | explicit membership thresholds to identify whether plots in State | 95 | explicit membership thresholds to identify whether plots in State | ||
96 | forests and elsewhere belonged to one or more of the communities | 96 | forests and elsewhere belonged to one or more of the communities | ||
97 | listed in the BWVF determination.\r\nWe used the plot assignments to | 97 | listed in the BWVF determination.\r\nWe used the plot assignments to | ||
98 | candidate BWVF to develop a predictive presence and absence Random | 98 | candidate BWVF to develop a predictive presence and absence Random | ||
99 | Forest statistical model. The model generates a probability of | 99 | Forest statistical model. The model generates a probability of | ||
100 | occurrence of BWVF for each grid cell using plot data and a selection | 100 | occurrence of BWVF for each grid cell using plot data and a selection | ||
101 | of environmental and remote-sensing variables. \r\nWe constructed our | 101 | of environmental and remote-sensing variables. \r\nWe constructed our | ||
102 | operational map using the API line work in combination with the | 102 | operational map using the API line work in combination with the | ||
103 | floristic plot data and our predictive habitat models to identify and | 103 | floristic plot data and our predictive habitat models to identify and | ||
104 | map the locations and extent of BWVF. Our mapping identified six small | 104 | map the locations and extent of BWVF. Our mapping identified six small | ||
105 | areas of Brogo Wet Vine Forest totalling 17.5 hectares. All areas were | 105 | areas of Brogo Wet Vine Forest totalling 17.5 hectares. All areas were | ||
106 | within Bodalla State Forest and were located on the exposed lower | 106 | within Bodalla State Forest and were located on the exposed lower | ||
107 | slopes of Mount Dromedary.\r\n\r\nOperational map for Dry Rainforest | 107 | slopes of Mount Dromedary.\r\n\r\nOperational map for Dry Rainforest | ||
108 | of the South East Forests:\r\n\r\nThe operational map for Dry | 108 | of the South East Forests:\r\n\r\nThe operational map for Dry | ||
109 | Rainforest of the South East Forests (Dry Rainforest) was constructed | 109 | Rainforest of the South East Forests (Dry Rainforest) was constructed | ||
110 | to resolve long-standing issues surrounding its identification, | 110 | to resolve long-standing issues surrounding its identification, | ||
111 | location and extent within the NSW State Forest estate covered by the | 111 | location and extent within the NSW State Forest estate covered by the | ||
112 | eastern Regional Forest Agreements. The determination of Dry | 112 | eastern Regional Forest Agreements. The determination of Dry | ||
113 | Rainforest was reviewed by the project\u2019s Threatened Ecological | 113 | Rainforest was reviewed by the project\u2019s Threatened Ecological | ||
114 | Community (TEC) Reference Panel (the Panel), and a set of diagnostic | 114 | Community (TEC) Reference Panel (the Panel), and a set of diagnostic | ||
115 | parameters for the identifying the Dry Rainforest TEC was agreed | 115 | parameters for the identifying the Dry Rainforest TEC was agreed | ||
116 | upon.\r\nUsing these diagnostic parameters, we sampled candidate areas | 116 | upon.\r\nUsing these diagnostic parameters, we sampled candidate areas | ||
117 | from existing vegetation maps to identify potential areas of Dry | 117 | from existing vegetation maps to identify potential areas of Dry | ||
118 | Rainforest occurrence in 296 000 hectares of State Forest and | 118 | Rainforest occurrence in 296 000 hectares of State Forest and | ||
119 | undertook additional mapping work using two independent mapping | 119 | undertook additional mapping work using two independent mapping | ||
120 | methods. Random Forest models (predictive habitat models) were | 120 | methods. Random Forest models (predictive habitat models) were | ||
121 | generated using plot data and a selection of environmental variables. | 121 | generated using plot data and a selection of environmental variables. | ||
122 | Aerial photo interpretation targeted stands of forests dominated by | 122 | Aerial photo interpretation targeted stands of forests dominated by | ||
123 | Ficus rubiginosa to refine the potential boundaries of Dry | 123 | Ficus rubiginosa to refine the potential boundaries of Dry | ||
124 | Rainforest.\r\nWe tested whether Dry Rainforest was present in State | 124 | Rainforest.\r\nWe tested whether Dry Rainforest was present in State | ||
125 | Forest by completing systematic plot surveys within mapped areas | 125 | Forest by completing systematic plot surveys within mapped areas | ||
126 | indicating potential presence. We compared our collected data to a | 126 | indicating potential presence. We compared our collected data to a | ||
127 | large regional pool of plot data that contained a subset of plots | 127 | large regional pool of plot data that contained a subset of plots | ||
128 | assigned to vegetation map units cited in the determination for the | 128 | assigned to vegetation map units cited in the determination for the | ||
129 | Dry Rainforests TEC (see Keith and Bedward 1999). Our analysis of data | 129 | Dry Rainforests TEC (see Keith and Bedward 1999). Our analysis of data | ||
130 | confidently assigned only a few plots in State Forest to Dry | 130 | confidently assigned only a few plots in State Forest to Dry | ||
131 | Rainforest (2/21).\r\nFrom these results, we were able to construct an | 131 | Rainforest (2/21).\r\nFrom these results, we were able to construct an | ||
132 | operational map for Dry Rainforest. We identified six small patches of | 132 | operational map for Dry Rainforest. We identified six small patches of | ||
133 | Dry Rainforest but only one patch was located within the study area. | 133 | Dry Rainforest but only one patch was located within the study area. | ||
134 | This patch was located in Towamba State Forest and was 0.53 | 134 | This patch was located in Towamba State Forest and was 0.53 | ||
135 | hectares.\r\n\r\nOperational TEC Mapping have been derived by API at a | 135 | hectares.\r\n\r\nOperational TEC Mapping have been derived by API at a | ||
136 | viewing scale between 1-4000 using ADS40 50 cm pixel imagery and 1 m | 136 | viewing scale between 1-4000 using ADS40 50 cm pixel imagery and 1 m | ||
137 | derived LIDAR DEM grids for floodplain EECs.\r\n\r\nIndicative TEC | 137 | derived LIDAR DEM grids for floodplain EECs.\r\n\r\nIndicative TEC | ||
138 | Mapping have been generated from best available composite | 138 | Mapping have been generated from best available composite | ||
139 | environmental data layers - standardised to 30 m pixels.\r\n", | 139 | environmental data layers - standardised to 30 m pixels.\r\n", | ||
140 | "num_resources": 7, | 140 | "num_resources": 7, | ||
141 | "num_tags": 0, | 141 | "num_tags": 0, | ||
142 | "organization": { | 142 | "organization": { | ||
143 | "approval_status": "approved", | 143 | "approval_status": "approved", | ||
144 | "created": "2018-06-15T18:51:39.525982", | 144 | "created": "2018-06-15T18:51:39.525982", | ||
145 | "description": "EPA is the primary environmental regulator for New | 145 | "description": "EPA is the primary environmental regulator for New | ||
146 | South Wales. Its purpose is to improve environmental performance and | 146 | South Wales. Its purpose is to improve environmental performance and | ||
147 | waste management\r\n\r\nEPA works with the community, business, | 147 | waste management\r\n\r\nEPA works with the community, business, | ||
148 | industry and government to maintain a balance between protecting the | 148 | industry and government to maintain a balance between protecting the | ||
149 | environment, managing competing demands on the environment and | 149 | environment, managing competing demands on the environment and | ||
150 | supporting sustainable growth.\r\n\r\nEPA provides information and | 150 | supporting sustainable growth.\r\n\r\nEPA provides information and | ||
151 | guidance about a broad range of environmental issues and activities. | 151 | guidance about a broad range of environmental issues and activities. | ||
152 | It engages with the community and uses social research to inform | 152 | It engages with the community and uses social research to inform | ||
153 | priorities, policies and programs. It publishes scientific research | 153 | priorities, policies and programs. It publishes scientific research | ||
154 | and monitors trends in the state of the environment, and offers advice | 154 | and monitors trends in the state of the environment, and offers advice | ||
155 | and incentives to help business and industry improve their | 155 | and incentives to help business and industry improve their | ||
156 | environmental performance.\r\n\r\nSee: http://www.epa.nsw.gov.au\r\n", | 156 | environmental performance.\r\n\r\nSee: http://www.epa.nsw.gov.au\r\n", | ||
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161 | "name": "epa-environment-protection-authority", | 161 | "name": "epa-environment-protection-authority", | ||
162 | "state": "active", | 162 | "state": "active", | ||
163 | "title": "Environment Protection Authority (EPA)", | 163 | "title": "Environment Protection Authority (EPA)", | ||
164 | "type": "organization" | 164 | "type": "organization" | ||
165 | }, | 165 | }, | ||
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207 | "name": "Assessment of Lowland Grassy Woodland, Brogo Wet Vine | 207 | "name": "Assessment of Lowland Grassy Woodland, Brogo Wet Vine | ||
208 | Forest And Dry Rainforests of The South East Forests TECs on NSW Crown | 208 | Forest And Dry Rainforests of The South East Forests TECs on NSW Crown | ||
209 | Forest Estate", | 209 | Forest Estate", | ||
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