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al-government-area-threatened-ecological-communities-2008-vis_id-4470"
            
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  "name": 
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  "name": 
            
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l-government-area-threatened-ecological-communities-2008-vis_id-4470",
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l-government-area-threatened-ecological-communities-2008-vis_id-4470",
            
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  "notes": "Updated mapping of Threatened Ecological Communities 
28
  "notes": "Updated mapping of Threatened Ecological Communities 
            
29
(TECs). \r\nThe native vegetation communities of Hornsby Shire were 
29
(TECs). \r\nThe native vegetation communities of Hornsby Shire were 
            
30
originally identified and mapped in 1990-1993. The present study 
30
originally identified and mapped in 1990-1993. The present study 
            
31
updates the classification and mapping of 30 communities, with the 
31
updates the classification and mapping of 30 communities, with the 
            
32
updated mapping provided in digital form for inclusion in the 
32
updated mapping provided in digital form for inclusion in the 
            
33
council's GIS. The survey area included all of the Hornsby LGA, from 
33
council's GIS. The survey area included all of the Hornsby LGA, from 
            
34
Eastwood to Brooklyn to Wisemans Ferry, excluding Marramarra NP, 
34
Eastwood to Brooklyn to Wisemans Ferry, excluding Marramarra NP, 
            
35
Muogamarra NR, Long Island NR, and Ku-ring-gai Chase NP east of the 
35
Muogamarra NR, Long Island NR, and Ku-ring-gai Chase NP east of the 
            
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Sydney-Newcastle Freeway.\r\n\r\nIn the initial study, the 
36
Sydney-Newcastle Freeway.\r\n\r\nIn the initial study, the 
            
37
classification of the plant communities was based on the floristic 
37
classification of the plant communities was based on the floristic 
            
38
composition of the tallest vegetation layer (usually the tree species 
38
composition of the tallest vegetation layer (usually the tree species 
            
39
composition). The assessment was subjective but based on species data 
39
composition). The assessment was subjective but based on species data 
            
40
from a total of 404 sample sites. An additional 209 sites were 
40
from a total of 404 sample sites. An additional 209 sites were 
            
41
examined for the updated study. The classification has been refined to 
41
examined for the updated study. The classification has been refined to 
            
42
include 8 EECs, two rainforest communities (instead of one in the 
42
include 8 EECs, two rainforest communities (instead of one in the 
            
43
original classification), and recognition of the distinctive 
43
original classification), and recognition of the distinctive 
            
44
vegetation of Dangar Island as a separate community. VIS_ID 
44
vegetation of Dangar Island as a separate community. VIS_ID 
            
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4470\r\n\r\nPlease note the related datasets:\r\n1. Hornsby Local 
45
4470\r\n\r\nPlease note the related datasets:\r\n1. Hornsby Local 
            
46
Government Area Vegetation Communities, 2008. VIS_ID 4471\r\n2. 
46
Government Area Vegetation Communities, 2008. VIS_ID 4471\r\n2. 
            
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Hornsby Local Government Area Remnant Trees, 2008. VIS_ID 4472",
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Hornsby Local Government Area Remnant Trees, 2008. VIS_ID 4472",
            
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    "created": "2016-10-28T01:56:54.190313",
            
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    "description": "Hornsby Shire is a local government area in the 
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    "description": "Hornsby Shire is a local government area in the 
            
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northern region of Sydney, New South Wales.",
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northern region of Sydney, New South Wales.",
            
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  ],
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  ],
            
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  "spatial": 
            
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53125,-33.76385021476657],[150.72967529296875,-33.76385021476657]]]}",
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  "tags": [],
            
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  "temporal_coverage_from": "2006-01-01",
            
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  "temporal_coverage_to": "2008-09-30",
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  "temporal_coverage_to": "2008-09-30",
            
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  "title": "Hornsby Local Government Area Threatened Ecological 
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  "title": "Hornsby Local Government Area Threatened Ecological 
            
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Communities, 2008. VIS_ID 4470",
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Communities, 2008. VIS_ID 4470",
            
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}
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}