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sets.seed.nsw.gov.au/dataset/assessment-of-white-gum-moist-forest-tec"
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sets.seed.nsw.gov.au/dataset/assessment-of-white-gum-moist-forest-tec"
            
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  "name": "assessment-of-white-gum-moist-forest-tec",
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  "name": "assessment-of-white-gum-moist-forest-tec",
            
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  "notes": "An indicative map for White Gum Moist Forest (WGMF) was 
27
  "notes": "An indicative map for White Gum Moist Forest (WGMF) was 
            
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constructed to resolve long-standing issues surrounding its 
28
constructed to resolve long-standing issues surrounding its 
            
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identification, location and extent within the NSW State Forest estate 
29
identification, location and extent within the NSW State Forest estate 
            
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covered by the eastern Regional Forest Agreements. \r\nThe 
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covered by the eastern Regional Forest Agreements. \r\nThe 
            
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determination of WGMF was reviewed by the project\u2019s Threatened 
31
determination of WGMF was reviewed by the project\u2019s Threatened 
            
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Ecological Community (TEC) Reference Panel (the Panel), and a set of 
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Ecological Community (TEC) Reference Panel (the Panel), and a set of 
            
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diagnostic parameters for identifying the WGMF TEC was agreed. \r\nOur 
33
diagnostic parameters for identifying the WGMF TEC was agreed. \r\nOur 
            
34
mapping process relied upon the occurrence of E.dunnii to diagnose the 
34
mapping process relied upon the occurrence of E.dunnii to diagnose the 
            
35
presence of WGMF. \r\n\r\nWe reviewed existing vegetation maps, 
35
presence of WGMF. \r\n\r\nWe reviewed existing vegetation maps, 
            
36
predictive models and observation records of E.dunnii to identify 
36
predictive models and observation records of E.dunnii to identify 
            
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State Forests that are known or likely to include stands of the 
37
State Forests that are known or likely to include stands of the 
            
38
species. We then attempted several different approaches to sampling 
38
species. We then attempted several different approaches to sampling 
            
39
and mapping E.dunnii using ground based surveys, predictive modelling 
39
and mapping E.dunnii using ground based surveys, predictive modelling 
            
40
and aerial photograph interpretation (API). We used API assessment of 
40
and aerial photograph interpretation (API). We used API assessment of 
            
41
known E.dunnii stands to identify image patterns and signatures that 
41
known E.dunnii stands to identify image patterns and signatures that 
            
42
indicated the presence of E.dunnii. We used our findings to examine 
42
indicated the presence of E.dunnii. We used our findings to examine 
            
43
un-surveyed areas of relevant state forests via API, and then we 
43
un-surveyed areas of relevant state forests via API, and then we 
            
44
mapped any areas which appeared to be dominated or co-dominated by 
44
mapped any areas which appeared to be dominated or co-dominated by 
            
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E.dunnii. We also developed a Random Forest presence-absence model and 
45
E.dunnii. We also developed a Random Forest presence-absence model and 
            
46
used it to predict the distribution of WGMF across its range.\r\nWe 
46
used it to predict the distribution of WGMF across its range.\r\nWe 
            
47
constructed an indicative map of WGMF using the combined results of 
47
constructed an indicative map of WGMF using the combined results of 
            
48
our API mapping and our predictive model. In total, we mapped 
48
our API mapping and our predictive model. In total, we mapped 
            
49
approximately 980 hectares of forest likely to be dominated or 
49
approximately 980 hectares of forest likely to be dominated or 
            
50
co-dominated by E.dunnii across 16 State Forests. Two thirds of the 
50
co-dominated by E.dunnii across 16 State Forests. Two thirds of the 
            
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mapped area is associated with the northern populations of E.dunnii 
51
mapped area is associated with the northern populations of E.dunnii 
            
52
\u2013 the largest areas were in Beaury, Donaldson and Yabbra State 
52
\u2013 the largest areas were in Beaury, Donaldson and Yabbra State 
            
53
Forests. In the southern area, Kangaroo River State Forest includes 
53
Forests. In the southern area, Kangaroo River State Forest includes 
            
54
the largest representation of E.dunnii in State Forest. \r\nOur 
54
the largest representation of E.dunnii in State Forest. \r\nOur 
            
55
conclusions from this exercise is that our API interpretation is 
55
conclusions from this exercise is that our API interpretation is 
            
56
capable of separating E.dunnii from other related eucalypts but only 
56
capable of separating E.dunnii from other related eucalypts but only 
            
57
where it is supported by field reconnaissance. Therefore, further work 
57
where it is supported by field reconnaissance. Therefore, further work 
            
58
is required to increase API confidence throughout its range before our 
58
is required to increase API confidence throughout its range before our 
            
59
maps are suitable for operational applications. Nonetheless, our 
59
maps are suitable for operational applications. Nonetheless, our 
            
60
indicative map is still useful for providing a list of State Forests 
60
indicative map is still useful for providing a list of State Forests 
            
61
that include mapped areas of E.dunnii and identifying the areas that 
61
that include mapped areas of E.dunnii and identifying the areas that 
            
62
have corroborating field based evidence of E.dunnii.\r\nAs our 
62
have corroborating field based evidence of E.dunnii.\r\nAs our 
            
63
indicative map stands at present, we consider that it overestimates 
63
indicative map stands at present, we consider that it overestimates 
            
64
the extent of E.dunnii and its dominance, however, it is unlikely that 
64
the extent of E.dunnii and its dominance, however, it is unlikely that 
            
65
extensive stands exist outside our mapped areas. We also conclude that 
65
extensive stands exist outside our mapped areas. We also conclude that 
            
66
existing mapping (including both forest type mapping and OEH (2012) 
66
existing mapping (including both forest type mapping and OEH (2012) 
            
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mapping) significantly underestimates the likely true 
67
mapping) significantly underestimates the likely true 
            
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extent).\r\n\r\nIndicative TEC Mapping have been generated from best 
68
extent).\r\n\r\nIndicative TEC Mapping have been generated from best 
            
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available composite environmental data layers - standardised to 30 m 
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available composite environmental data layers - standardised to 30 m 
            
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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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priorities, policies and programs. It publishes scientific research 
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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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      "name": "Indicative Map for White Gum Moist Forest Threatened 
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