This Pre-Clearing map represents the pre-clearing extent of the State Vegetation Type Map (SVTM). Both SVTM and SVTM (Pre-Clearing) map each Plant Community Type, Vegetation Class and Vegetation Formation at a regional scale across all tenures in NSW. Pre-clearing PCT mapping is available for both eastern NSW and Far Western NSW. Coverage of Central NSW is a work in progress. \r \r Pre-clearing extent of PCTs was developed using a combination of aerial photographic interpretation, environmental layers and historical documents. This map is updated periodically as part of the Integrated BioNet Vegetation Data program to improve quality and alignment to the NSW vegetation classification hierarchy. \r \r Further information and technical documents about the SVTM is available from the State Vegetation Type Mapping Program Page \r \r Current Release C2.0.M2.1 (November2024)\r \r This release includes revisions, using the most recent NSW PCT Classification Masterlist (represented by “C2.0” in the version release number). PCT spatial distributions were manually edited based on user and community feedback since the previous C2.0.M2.0 release. \r \r Detailed technical information is available here .\r \r Data Access\r \r Map data may be downloaded, viewed within the SEED Map Viewer, or accessed via the underlying ArcGIS REST Services or WMS for integration in GIS or business applications. \r \r The Trees Near Me NSW app provides quick access to view the map using a mobile device or desktop. Download the app from Google Play or the App Store, or access the web site at https://treesnearme.app .\r \r Map Data Type\r \r The map is supplied as ESRI Feature Class (Quickview) and 5m GeoTiff Raster, and can be viewed and analysed in most commercial and open-source spatial software packages. If you prefer to use the download package, we supply an ArcGIS v10.6 mxd and/or a layer file for suggested symbology. The raster attributes contain PCT, Vegetation Class and Vegetation Formation.\r \r Feedback and Support\r \r We welcome your feedback to assist us in continuously improving our products. To help us track and process your feedback, please use the SEED Data Feedback tool available via the SEED map viewer or the Feedback function in Trees Near Me NSW. \r \r For further support, contact the BioNet Team at _ bionet@environment.nsw.gov.au _.\r \r Useful Related Data\r \r NSW State Vegetation Type Map : regional scale map of extant NSW Plant Community Types, Vegetation classes and Vegetation Formations.\r \r NSW BioNet Flora Survey Plots – PCT Reference Sites : full floristic plots used in the development of the quantitative Plant Community Type (PCT) classification. Currently available for eastern NSW PCTs version C2.0.\r \r NSW State Vegetation Type Map - technical notes \r \r Eastern NSW - percentage cleared technical notes .

This dataset was superseded by the State Vegetation Type Map (https://datasets.seed.nsw.gov.au/dataset/nsw-state-vegetation-type-map) on 24.06.2022.\r \r This local scale Plant Community Type map was developed in collaboration with the NSW State Vegetation Type Mapping (SVTM) program.\r \r Version 2.0 of this data underwent internal review during May and June 2017. This version (v2.1) was initially open for review until 1st week of October, 2017. With the review period closed, v2.1 will be revised for a public release of Version 3.0 in 2019. Version 3.0 will be generated using a completely revised coastal-wide PCT classification.\r \r Please note that only footprints for v2.1 are available for download. Access enquiries on the Wingecarribee PCT maps are detailed in document Wingecarribee_v2.0_metadata.pdf (part of download package).\r \r The primary thematic layer in this dataset is a map of fine-scale scale Plant Community Type (PCT). The full dataset is delivered as 100k sheets. For related TEC mapping, see VIS_ID 4676 & 4677 available here: https://datasets.seed.nsw.gov.au/dataset/wingecarribee-fine-scale-native-vegetation-map-version-v2-0-tecs-vis-id-4676-4677 \r \r VIS_ID 4670

Current Extent

The State Vegetation Type Map (SVTM) is a regional-scale map of NSW Plant Community Types. This map represents the current extent of each Plant Community Type, Vegetation Class and Vegetation Formation, across all tenures in NSW. This map is updated periodically as part of the Integrated BioNet Vegetation Data program to improve quality and alignment to the NSW vegetation classification hierarchy.

An SVTM pre-clearing PCT map is available here.

Further information about the mapping methods is available from the State Vegetation Type Mapping Program Page

Current Release C2.0.M2.1 (November2024)

This release includes revisions, using the most recent NSW PCT Classification Master list (represented by “C2.0” in the version release number). PCT spatial distributions were manually edited based on user and community feedback since the previous C2.0.M2.0 release. In addition, changes were made to the Native Vegetation Extent mask which is used to create the Native Extent map.

Detailed technical information is available here.

Data Access

Map data may be downloaded, viewed within the SEED Map Viewer, or accessed via the underlying ArcGIS REST Services or WMS for integration in GIS or business applications.

The Trees Near Me NSW app provides quick access to view the map using a mobile device or desktop. Download the app from Google Play or the App Store, or access the web site at https://treesnearme.app.

Map Data Type

The map is supplied as ESRI Feature Class (Quickview) and 5m GeoTiff Raster, and can be viewed and analysed in most commercial and open-source spatial software packages. If you prefer to use the download package, we supply an ArcGIS v10.4 mxd and/or a layer file for suggested symbology. The raster attributes contain PCT, Vegetation Class and Vegetation Formation.

Feedback and Support

We welcome your feedback to assist us in continuously improving our products. To help us track and process your feedback, please use the SEED Data Feedback tool available via the SEED map viewer.

For further support, contact the BioNet Team at bionet@environment.nsw.gov.au.

Useful Related Data

NSW BioNet Flora Survey Plots – PCT Reference Sites: full floristic plots used in the development of the quantitative Plant Community Type (PCT) classification. Currently available for eastern NSW PCTs version C2.0.

NSW State Vegetation Type Map - technical notes

Eastern NSW - percentage cleared calculation technical notes.

This dataset was superseded by the State Vegetation Type Map (https://datasets.seed.nsw.gov.au/dataset/nsw-state-vegetation-type-map) on 24.06.2022. Please note, Central West / Lachlan Region …Show full descriptionThis dataset was superseded by the State Vegetation Type Map (https://datasets.seed.nsw.gov.au/dataset/nsw-state-vegetation-type-map) on 24.06.2022. Please note, Central West / Lachlan Region Version 1.4. VIS_ID 4468 web service and zipped dataset will be archived and will no longer be available on line after 31st March 2025. The NSW Office of Environment and Heritage (OEH) is producing a new map of the State’s native vegetation. This seamless map of NSW’s native vegetation types will enable government, industry and the community to better understand the composition and the relative significance of the native vegetation in their local area. The State Vegetation Type Map (SVTM) (http://www.environment.nsw.gov.au/vegetation/state-vegetation-type-map.htm ) is constructed from the best available imagery, site survey records, and environmental information. Existing vegetation mapping has been integrated in some locations. Each vegetation survey is assigned to a Plant Community Type (PCT) and this is used to create a model of the distribution of each type. Their place in the landscape is then attributed based on the visual interpretation of vegetation structure. The SVTM is designed to be dynamically improved and upgraded as new local information becomes available. Each quickview map is attributed with a code for all three tiers of the NSW vegetation type classification system: Formations, Classes, and Plant Community Types (PCTs). The following fields are available for all maps: PCTID: The unique identifier for the Plant Community Type. The PCT Id is captured as part of the mapping program. PCTName: A colloquial description of the plant community that can be understood by non-botanists. It may include common names of dominant plant species, names of a geographical region, a substrate, a soil type or a climatic zone. PCTIDMod1: The most likely Plant Community Type to occur in the polygon, identified by its PCT Id. This value is as derived from a spatial model that may provide one or more PCT alternatives. It provides an indication of PCT uncertainty, as several PCTs will usually have some probability of occurring at any particular location. PCTIDMod2: The second most likely Plant Community Type identifier as derived from a spatial model. PCTIDMod3: The third most likely Plant Community Type identifier as derived from a spatial model. mapSource: The various sources of information used in deriving the vegetation map, including spatial models, visual interpretation and existing map products. vegetationClass: Equivalence of a community to one of the Vegetation Classes as originally defined in the Keith (2004) Statewide Vegetation Map. vegetationFormation: Equivalence of a community to one of the Vegetation Classes as original defined in the Keith (2004) Statewide Vegetation Map. USER ACCURACY of Plant Community Type Models: These results should be interpreted as a reflection of the model user accuracy, not map accuracy. [Map Accuracy = API Accuracy (visual interpretation of ADS40) x Model Accuracy (PCT Model Results)]. The accuracy of the API produced landscape class map has not been assessed at this stage. The model user accuracy below was derived by cross validation for CWL and RIV and by an 80/20 split for BRGN. User accuracy using cross validation is an estimate of how well the model would perform on a new, unmapped location. PCT User Accuracy is represented as a % (percentage). The number of field survey samples is recorded in the field Number of sites per PCT. The summary table below shows the number of PCTs modelled in each study area and the number of sites available (RIV includes pseudo-sites). PCT User Accuracy is weighted by the Number of sites per PCT. Accuracy is not reported for PCTs with less than 5 records. For a full description per PCT of user accuracy, please see attached 'User_Accuracy_per_PCT_VIS_ID_4468.pdf' located below under 'Data and Resources'. Table 1: SVTM Number of PCTs, number of sites per PCT and PCT User Accuracy (weighted by number of sites) |:Area::::::| Number of PCTs | Number of Sites | PCT user accuracy weighted by number of sites | +-----------+-----------------------+----------------------+---------------------------------------------------------------+ |:NBRG*:| 268:::::::::::::::::::::::| 2534:::::::::::::::::::| 54.9::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::| +-----------+-----------------------+----------------------+---------------------------------------------------------------+ |:CWL**::| 198:::::::::::::::::::::::::| 10463:::::::::::::::| 62.2::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::| +-----------+-----------------------+----------------------+---------------------------------------------------------------+ |:RIV:::::::| 130::::::::::::::::::::::::| 10699:::::::::::::::| 57.5:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::| +-----------+-----------------------+----------------------+---------------------------------------------------------------+ |:Total::::| 596:::::::::::::::::::::::::| 23696::::::::::::::::| 58.2::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::| Results based on 80/20 Cal/Val split* Cross validation results** Quickview maps are simplified versions of the vegetation maps and only contain a subset of the attributes available. They are easier to navigate but still contain the top 3 most likely PCTs for each polygon. The quickview maps are available by request from the Data.Broker@environment.nsw.gov.au. The full datasets are available as 1:100,000 map tiles, also by request from the Data.Broker@environment.nsw.gov.au. A technical report is in press: State of New South Wales and Office of Environment and Heritage (2016) NSW State Vegetation Type Map – Central NSW, Part A: Summary, NSW Office of Environment and Heritage, Sydney, Australia. Meanwhile, for more technical detail about how the maps are created, or more detailed data, contact Bionet@environment.nsw.gov.au or visit http://www.environment.nsw.gov.au/vegetation/state-vegetation-type-map.htm. VIS_ID 4468

This dataset was superseded by the State Vegetation Type Map (https://datasets.seed.nsw.gov.au/dataset/nsw-state-vegetation-type-map) on 24.06.2022.

The NSW Office of Environment and Heritage (OEH) is producing a new map of the State’s native vegetation. This seamless map of NSW’s native vegetation types will enable government, industry and the community to better understand the composition and the relative significance of the native vegetation in their local area.

The State Vegetation Type Map (SVTM) (http://www.environment.nsw.gov.au/vegetation/state-vegetation-type-map.htm ) is constructed from the best available imagery, site survey records, and environmental information. Existing vegetation mapping has been integrated in some locations. Each vegetation survey is assigned to a Plant Community Type (PCT) and this is used to create a model of the distribution of each type. Their place in the landscape is then attributed based on the visual interpretation of vegetation structure. The SVTM is designed to be dynamically improved and upgraded as new local information becomes available.

Each quickview map is attributed with a code for all three tiers of the NSW vegetation type classification system: Formations, Classes, and Plant Community Types (PCTs).

The following fields are available for all maps:

PCTID: The unique identifier for the Plant Community Type. The PCT Id is captured as part of the mapping program.

PCTName: A colloquial description of the plant community that can be understood by non-botanists. It may include common names of dominant plant species, names of a geographical region, a substrate, a soil type or a climatic zone.

PCTIDMod1: The most likely Plant Community Type to occur in the polygon, identified by its PCT Id. This value is as derived from a spatial model that may provide one or more PCT alternatives. It provides an indication of PCT uncertainty, as several PCTs will usually have some probability of occurring at any particular location.

PCTIDMod2: The second most likely Plant Community Type identifier as derived from a spatial model.

PCTIDMod3: The third most likely Plant Community Type identifier as derived from a spatial model.

mapSource: The various sources of information used in deriving the vegetation map, including spatial models, visual interpretation and existing map products.

vegetationClass: Equivalence of a community to one of the Vegetation Classes as originally defined in the Keith (2004) Statewide Vegetation Map.

vegetationFormation: Equivalence of a community to one of the Vegetation Classes as original defined in the Keith (2004) Statewide Vegetation Map.

USER ACCURACY of Plant Community Type Models:

These results should be interpreted as a reflection of the model user accuracy, not map accuracy. [Map Accuracy = API Accuracy (visual interpretation of ADS40) x Model Accuracy (PCT Model Results)]. The accuracy of the API produced landscape class map has not been assessed at this stage. The model user accuracy below was derived by cross validation for CWL and RIV and by an 80/20 split for BRGN. User accuracy using cross validation is an estimate of how well the model would perform on a new, unmapped location. PCT User Accuracy is represented as a % (percentage). The number of field survey samples is recorded in the field Number of sites per PCT. The summary table below shows the number of PCTs modelled in each study area and the number of sites available (RIV includes pseudo-sites). PCT User Accuracy is weighted by the Number of sites per PCT. Accuracy is not reported for PCTs with less than 5 records. For a full description per PCT of user accuracy, please see attached 'User_Accuracy_per_PCT_VIS_ID_4467.pdf' located below under 'Data and Resources'.

Table 1: SVTM Number of PCTs, number of sites per PCT and PCT User Accuracy (weighted by number of sites)

|:Area::::::| Number of PCTs | Number of Sites | PCT user accuracy weighted by number of sites |

+-----------+-----------------------+----------------------+---------------------------------------------------------------+

|:NBRG*:| 268:::::::::::::::::::::::| 2534:::::::::::::::::::| 54.9::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::|

+-----------+-----------------------+----------------------+---------------------------------------------------------------+

|:CWL**::| 198:::::::::::::::::::::::::| 10463:::::::::::::::| 62.2::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::|

+-----------+-----------------------+----------------------+---------------------------------------------------------------+

|:RIV:::::::| 130::::::::::::::::::::::::| 10699:::::::::::::::| 57.5:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::|

+-----------+-----------------------+----------------------+---------------------------------------------------------------+

|:Total::::| 596:::::::::::::::::::::::::| 23696::::::::::::::::| 58.2::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::|

Results based on 80/20 Cal/Val split*

Cross validation results**

Quickview maps are simplified versions of the vegetation maps and only contain a subset of the attributes available. They are easier to navigate but still contain the top 3 most likely PCTs for each polygon.

A technical report is in press: State of New South Wales and Office of Environment and Heritage (2016) NSW State Vegetation Type Map – Central NSW, Part A: Summary, NSW Office of Environment and Heritage, Sydney, Australia. Meanwhile, for more technical detail about how the maps are created, or more detailed data, contact Bionet@environment.nsw.gov.au or visit http://www.environment.nsw.gov.au/vegetation/state-vegetation-type-map.htm. VIS_ID 4467

This dataset was superseded by the State Vegetation Type Map (https://datasets.seed.nsw.gov.au/dataset/nsw-state-vegetation-type-map) on 24.06.2022. \r \r Please note, Riverina Region Version v1.2 - VIS_ID 4469 web service and zipped dataset will be archived and will no longer be available on line after 31st March 2025.\r \r The NSW Office of Environment and Heritage (OEH) is producing a new map of the State’s native vegetation. This seamless map of NSW’s native vegetation types will enable government, industry and the community to better understand the composition and the relative significance of the native vegetation in their local area.\r \r The State Vegetation Type Map (SVTM) (http://www.environment.nsw.gov.au/vegetation/state-vegetation-type-map.htm ) is constructed from the best available imagery, site survey records, and environmental information. Existing vegetation mapping has been integrated in some locations. Each vegetation survey is assigned to a Plant Community Type (PCT) and this is used to create a model of the distribution of each type. Their place in the landscape is then attributed based on the visual interpretation of vegetation structure. The SVTM is designed to be dynamically improved and upgraded as new local information becomes available. \r \r Each quickview map is attributed with a code for all three tiers of the NSW vegetation type classification system: Formations, Classes, and Plant Community Types (PCTs).\r \r The following fields are available for all maps:\r \r PCTID: The unique identifier for the Plant Community Type. The PCT Id is captured as part of the mapping program.\r \r PCTName: A colloquial description of the plant community that can be understood by non-botanists. It may include common names of dominant plant species, names of a geographical region, a substrate, a soil type or a climatic zone.\r \r PCTIDMod1: The most likely Plant Community Type to occur in the polygon, identified by its PCT Id. This value is as derived from a spatial model that may provide one or more PCT alternatives. It provides an indication of PCT uncertainty, as several PCTs will usually have some probability of occurring at any particular location.\r \r PCTIDMod2: The second most likely Plant Community Type identifier as derived from a spatial model. \r \r PCTIDMod3: The third most likely Plant Community Type identifier as derived from a spatial model. \r \r mapSource: The various sources of information used in deriving the vegetation map, including spatial models, visual interpretation and existing map products.\r \r vegetationClass: Equivalence of a community to one of the Vegetation Classes as originally defined in the Keith (2004) Statewide Vegetation Map.\r \r vegetationFormation: Equivalence of a community to one of the Vegetation Classes as original defined in the Keith (2004) Statewide Vegetation Map.\r \r \r USER ACCURACY of Plant Community Type Models:\r \r These results should be interpreted as a reflection of the model user accuracy, not map accuracy. [Map Accuracy = API Accuracy (visual interpretation of ADS40) x Model Accuracy (PCT Model Results)]. The accuracy of the API produced landscape class map has not been assessed at this stage. The model user accuracy below was derived by cross validation for CWL and RIV and by an 80/20 split for BRGN. \r User accuracy using cross validation is an estimate of how well the model would perform on a new, unmapped location.\r PCT User Accuracy is represented as a % (percentage). The number of field survey samples is recorded in the field Number of sites per PCT.\r The summary table below shows the number of PCTs modelled in each study area and the number of sites available (RIV includes pseudo-sites). PCT User Accuracy is weighted by the Number of sites per PCT. Accuracy is not reported for PCTs with less than 5 records. For a full description per PCT of user accuracy, please see attached 'User_Accuracy_per_PCT_VIS_ID_4469.pdf' located below under 'Data and Resources'.\r \r Table 1: SVTM Number of PCTs, number of sites per PCT and PCT User Accuracy (weighted by number of sites)\r \r ------------------------------------------------------------------------------------------------------------------------------\r \r |:Area::::::| Number of PCTs | Number of Sites | PCT user accuracy weighted by number of sites |\r \r +-----------+-----------------------+----------------------+---------------------------------------------------------------+\r \r \r |:NBRG*:| 268:::::::::::::::::::::::| 2534:::::::::::::::::::| 54.9::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::|\r \r +-----------+-----------------------+----------------------+---------------------------------------------------------------+\r \r \r |:CWL**::| 198:::::::::::::::::::::::::| 10463:::::::::::::::| 62.2::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::|\r \r +-----------+-----------------------+----------------------+---------------------------------------------------------------+\r \r \r |:RIV:::::::| 130::::::::::::::::::::::::| 10699:::::::::::::::| 57.5:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::|\r \r +-----------+-----------------------+----------------------+---------------------------------------------------------------+\r \r \r |:Total::::| 596:::::::::::::::::::::::::| 23696::::::::::::::::| 58.2::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::|\r \r ------------------------------------------------------------------------------------------------------------------------------\r \r Results based on 80/20 Cal/Val split*\r \r Cross validation results**\r \r \r Quickview maps are simplified versions of the vegetation maps and only contain a subset of the attributes available. They are easier to navigate but still contain the top 3 most likely PCTs for each polygon.\r \r The quickview maps are available by request from the Data.Broker@environment.nsw.gov.au. The full datasets are available as 1:100,000 map tiles, also by request from the Data.Broker@environment.nsw.gov.au.\r \r A technical report is in press: State of New South Wales and Office of Environment and Heritage (2016) NSW State Vegetation Type Map – Central NSW, Part A: Summary, NSW Office of Environment and Heritage, Sydney, Australia. Meanwhile, for more technical detail about how the maps are created, or more detailed data, contact Bionet@environment.nsw.gov.au or visit http://www.environment.nsw.gov.au/vegetation/state-vegetation-type-map.htm. \r VIS_ID 4469

Note that this dataset is a pre-production version for a three month review period from date of release. Feedback is requested and will be ingested for a release v1.0 in 2018

The NSW Office of Environment and Heritage (OEH) is producing a new map of the State’s native vegetation. This seamless map of NSW’s native vegetation types will enable government, industry and the community to better understand the composition and the relative significance of the native vegetation in their local area.

The State Vegetation Type Map (SVTM) (http://www.environment.nsw.gov.au/vegetation/state-vegetation-type-map.htm ) is constructed from the best available imagery, site survey records, and environmental information. Existing vegetation mapping has been integrated in some locations. Each vegetation survey is assigned to a Plant Community Type (PCT) and this is used to create a model of the distribution of each type. Their place in the landscape is then attributed based on the visual interpretation of vegetation structure. The SVTM is designed to be dynamically improved and upgraded as new local information becomes available.

Each quickview map is attributed with a code for all three tiers of the NSW vegetation type classification system: Formations, Classes, and Plant Community Types (PCTs).

The following fields are available for all maps: PCTID: The unique identifier for the Plant Community Type. The PCT Id is captured as part of the mapping program. PCTName: A colloquial description of the plant community that can be understood by non-botanists. It may include common names of dominant plant species, names of a geographical region, a substrate, a soil type or a climatic zone. PCTIDMod1: The most likely Plant Community Type to occur in the polygon, identified by its PCT Id. This value is as derived from a spatial model that may provide one or more PCT alternatives. It provides an indication of PCT uncertainty, as several PCTs will usually have some probability of occurring at any particular location. PCTIDMod2: The second most likely Plant Community Type identifier as derived from a spatial model. PCTIDMod3: The third most likely Plant Community Type identifier as derived from a spatial model. mapSource: The various sources of information used in deriving the vegetation map, including spatial models, visual interpretation and existing map products. vegetationClass: Equivalence of a community to one of the Vegetation Classes as originally defined in the Keith (2004) Statewide Vegetation Map. vegetationFormation: Equivalence of a community to one of the Vegetation Classes as original defined in the Keith (2004) Statewide Vegetation Map. The primary thematic layer in this dataset is a map of regional scale Plant Community Type (PCT). Note that this dataset is a pre-production version for a three month review period from date of release. Feedback is requested and will be ingested for a release v1.0 in 2018.

Quickview maps are simplified versions of the vegetation maps and only contain a subset of the attributes available. They are easier to navigate but still contain the top 3 most likely PCTs for each polygon.

Note that this vector quickview is a dissolved surface and does not highlight the fine internal line-work within each map unit. Please refer to the 100k full data sheets for the complete editable internal linework .

The quickview maps are downloadable (see download package). The full datasets are available as 1:100,000 map tiles, by request from the Data.Broker@environment.nsw.gov.au.

The following fields are also provided in the full vector line work per 100k sheet: vegStruct - Vegetation Structural Class as derived from manual aerial photo interpretation: Note that this surface is independent of PCT and may disagree with PCTID. This is produced entirely by manual aerial photo interpretation of 50cm ADS40 imagery. Possible values are: vegStruct Structural Class 0 Non Native 1 Candidate Grasslands 2 Dry Sclerophyll 3 Wet Sclerophyll 5 Floodplain Forest 7 Non Woody Wetlands 8 Grass Open Woodlands 10 Rainforests 11 Riparian Forests 12 Acacia Woodlands 13 Shrublands 15 Mallee 16 Rocky Outcrops 17 Belah

Note that this vegStruct surface also contains a number of manually attributed PCT’s where possible. These PCT’s have some spatial representation within this field: 185,186,217,267,268,276,292,317,325,327,329,338,339,351,358,420,476,677,796 ,800,840,951,963,1094, 1101,1177,1197,1386,1611,1663,1691,1711,1855,1856,18 59,1862,1873,1879,1882,1884,1885,1887,1889,1890,1892,1894,1896,1899,1900, 1902,1905,1907,1908,1910 (See PCT Look-up-table in the download package for PCT common names).

PCTallocationConfidence - Modelling Confidence for PCTIDMod1 – Note that this reflects the modelling surface (PCTIDMod1) only and may not reflect the confidence of the mapped attribution (PCTID). PCTallocationConfidence can only be accurately applied to the published map surface (PCTID) where mapSource = ‘Spatial Modelling’. PCTSiteValidation – Lists the site survey and site number as a concatenation. This corresponds to the point site layer listed under ‘Accompanying datasets.

Quickview Catchment Wide Dissolves For rapid visual reference, a 5m rapid-view raster is included in the geodatabase: CentralTablelands_v0_1_PCT_5m_E_4805 Fields: PCTcode, PCTName, vegetationFormation, vegetationClass

VIS_ID 4778

This dataset was superseded by the State Vegetation Type Map (https://datasets.seed.nsw.gov.au/dataset/nsw-state-vegetation-type-map) on 24.06.2022.

Please note, Central Tablelands Region Version 1.0. VIS_ID 4778 web service and zipped dataset will be archived and will no longer be available on line after 31st March 2025.

Version 1.0 supersedes the pre-production version (v0.1).

The NSW Office of Environment and Heritage (OEH) is producing a new map of the State’s native vegetation. This seamless map of NSW’s native vegetation types will enable government, industry and the community to better understand the composition and the relative significance of the native vegetation in their local area.

The State Vegetation Type Map (SVTM) (http://www.environment.nsw.gov.au/vegetation/state-vegetation-type-map.htm ) is constructed from the best available imagery, site survey records, and environmental information. Existing vegetation mapping has been integrated in some locations. Each vegetation survey is assigned to a Plant Community Type (PCT) and this is used to create a model of the distribution of each type. Their place in the landscape is then attributed based on the visual interpretation of vegetation structure. The SVTM is designed to be dynamically improved and upgraded as new local information becomes available.

Each quickview map is attributed with a code for all three tiers of the NSW vegetation type classification system: Formations, Classes, and Plant Community Types (PCTs).

The following fields are available for all maps: PCTID: The unique identifier for the Plant Community Type. The PCT Id is captured as part of the mapping program. PCTName: A colloquial description of the plant community that can be understood by non-botanists. It may include common names of dominant plant species, names of a geographical region, a substrate, a soil type or a climatic zone. PCTIDMod1: The most likely Plant Community Type to occur in the polygon, identified by its PCT Id. This value is as derived from a spatial model that may provide one or more PCT alternatives. It provides an indication of PCT uncertainty, as several PCTs will usually have some probability of occurring at any particular location. PCTIDMod2: The second most likely Plant Community Type identifier as derived from a spatial model. PCTIDMod3: The third most likely Plant Community Type identifier as derived from a spatial model. mapSource: The various sources of information used in deriving the vegetation map, including spatial models, visual interpretation and existing map products. vegetationClass: Equivalence of a community to one of the Vegetation Classes as originally defined in the Keith (2004) Statewide Vegetation Map. vegetationFormation: Equivalence of a community to one of the Vegetation Classes as original defined in the Keith (2004) Statewide Vegetation Map. The primary thematic layer in this dataset is a map of regional scale Plant Community Type (PCT).

Quickview maps are simplified versions of the vegetation maps and only contain a subset of the attributes available. They are easier to navigate but still contain the top 3 most likely PCTs for each polygon.

Note that this vector quickview is a dissolved surface and does not highlight the fine internal line-work within each map unit. Please refer to the 100k full data sheets for the complete editable internal linework .

The quickview maps are downloadable (see download package). The full datasets are available as 1:100,000 map tiles, by request from the Data.Broker@environment.nsw.gov.au.

The following fields are also provided in the full vector line work per 100k sheet: vegStruct - Vegetation Structural Class as derived from manual aerial photo interpretation: Note that this surface is independent of PCT and may disagree with PCTID. This is produced entirely by manual aerial photo interpretation of 50cm ADS40 imagery. Possible values are: vegStruct Structural Class 0 Non Native 1 Candidate Grasslands 2 Dry Sclerophyll 3 Wet Sclerophyll 5 Floodplain Forest 7 Non Woody Wetlands 8 Grass Open Woodlands 10 Rainforests 11 Riparian Forests 12 Acacia Woodlands 13 Shrublands 15 Mallee 16 Rocky Outcrops 17 Belah

Note that this vegStruct surface also contains a number of manually attributed PCT’s where possible. These PCT’s have some spatial representation within this field: 185,186,217,267,268,276,292,317,325,327,329,338,339,351,358,420,476,677,796 ,800,840,951,963,1094, 1101,1177,1197,1386,1611,1663,1691,1711,1855,1856,18 59,1862,1873,1879,1882,1884,1885,1887,1889,1890,1892,1894,1896,1899,1900, 1902,1905,1907,1908,1910 (See PCT Look-up-table in the download package for PCT common names).

PCTallocationConfidence - Modelling Confidence for PCTIDMod1 – Note that this reflects the modelling surface (PCTIDMod1) only and may not reflect the confidence of the mapped attribution (PCTID). PCTallocationConfidence can only be accurately applied to the published map surface (PCTID) where mapSource = ‘Spatial Modelling’. PCTSiteValidation – Lists the site survey and site number as a concatenation. This corresponds to the point site layer listed under ‘Accompanying datasets.

Quickview Catchment Wide Dissolves For rapid visual reference, a 5m rapid-view raster is included in the geodatabase: CentralTablelands_v1_0_PCT_5m_E_4805 Fields: PCTcode, PCTName, vegetationFormation, vegetationClass

VIS_ID 4778

The NSW Office of Environment and Heritage (OEH) is producing a new map of the State’s native vegetation. This seamless map of NSW’s native vegetation types will enable government, industry and the community to better understand the composition and the relative significance of the native vegetation in their local area.

The State Vegetation Type Map (SVTM) (http://www.environment.nsw.gov.au/vegetation/state-vegetation-type-map.htm) is constructed from the best available imagery, site survey records, and environmental information.

Existing vegetation mapping has been integrated in some locations. Each vegetation survey record is being assigned to a Plant Community Type (PCT) and this is used to create a model of the distribution of each type. Their place in the landscape is then attributed based on the visual interpretation of vegetation photo pattern. The SVTM is designed to be dynamically improved and upgraded as new local information becomes available.

The Western NSW PCT DRAFT v0.1 data-set provides a draft map of Plant Community Types over western NSW and it is released for expert feedback. This feedback will contribute to an updated v1.0 release. VIS_ID 4492

Overview The NSW Ecosystem Offset Trading Group Map is a regional scale map of candidate non-threatened Ecosystem Offset Trading Groups as defined under the NSW Biodiversity Offset Scheme. The map covers all of NSW. The mapped Offset Trading Groups are generated by a direct translation of the NSW State Vegetation Type Map (SVTM vC2.0.M2.1) according to the Biodiversity Assessment Method Table 5. This map is updated in response to annual updates to the NSW State Vegetation Type Map or other relevant information. Key Fields: 'OTG_Name' – Offset Trading Group 'SUB_NAME_7' – Sub IBRA Bioregion 'OTGSUBIBRA' – A concatenation of the Offset Trading Group and the Sub IBRA Bioregion New version C2.0M2.1OTG1.0 (not yet available for public release - expected March 2025) This release includes removal of areas previously mapped as "Not Offset Trading Group", defined as: parts of NSW currently considered ineligible for Biodiversity Stewardship Agreements, areas mapped as "Not classified" under the SVTM. Limitations on Use The map may be used as a guide to the occurrence and distribution of NSW Ecosystem Offset Trading Groups. The map is derived from regional scale mapping of Plant Community Types and should not be used for local or property scale decisions. Planning or investment decisions at the property scale should be supported by ground assessment using the NSW Biodiversity Assessment Method (BAM). The map does not include Offset Trading Groups for threatened ecological community (TEC) Ecosystem credit types. The map does not describe which Offset Trading Groups are currently in demand Data Access Map data may be downloaded as a zipped Geotiff file at the link below. The map may also be viewed on the SEED Map Viewer, or accessed via the underlying ArcGIS REST Services or WMS for integration in GIS or business applications. Map Data Type The map is supplied as a 5m GeoTiff Raster, and can be viewed and analysed in most commercial and open-source spatial software packages. No preferred symbology is provided. Feedback and Support We welcome your feedback to assist us in continuously improving our products. To help us track and process your feedback, please use the SEED Data Feedback tool available via the SEED map viewer. Useful Related Data Understanding NSW Offset Trading Groups The NSW State Vegetation Type map Plant Community type to Offset Trading Group lookup tool The NSW Biodiversity Offset Scheme like-for-like rules

The 2022 NSW Forest extent layer was created by the NSW DPIRD Forest Science team applying spatio-temporal analysis of the 2017-2022 National Forest and sparse woody vegetation data (Version 7.0 - 2022 Release) (Department of Climate Change, Energy, the Environment, and Water's). The data is available on data.gov.au. The dataset was further analysed and masked to exclude non-forest areas and create a forest extent layer with a 20 percent canopy cover for the NSW UTM Zones 55 & 56. The mask layer includes various datasets such as NSW Land use 2017, State Vegetation Type map (SVTM), Land Zoning, Water body, etc. The DPIRD Plantation unit's Authorised plantation layer (current as Aug 2024) was used to characterise forest types, i.e. Native forest and Plantation.

Spatial data layers and analytical code used for the analyses and summaries presented by Bradstock et al. 2021. The base data layers comprise: Raster data in GeoTIFF format (.tif file extension) for long-term fire history, 2019/20 fire occurrence and severity, logging history, native vegetation (SVTM forest formations), tenure, topography. Raster layers for predicted habitat suitability of selected fauna species. Vector data (mostly polygon features) for study area and tenure and forest management boundaries, together with fire history, logging history and vegetation layers used to derive the corresponding raster data layers used for analyses. All code used for analyses is provided as Rmarkdown documents. Each document contains code in the R statistical language, together with explanatory text. Documents can be opened in the freely available RStudio software (https://www.rstudio.com) to run the code, or in any text editor to read code and text. See file 00_README.txt for further description of files and folders.

This dataset was superseded by the State Vegetation Type Map (https://datasets.seed.nsw.gov.au/dataset/nsw-state-vegetation-type-map) on 24.06.2022.\r \r Please note, Upper Hunter v1.0. VIS_ID 4894 web service and zipped dataset will be archived and will no longer be available on line after 31st March 2025.\r \r The NSW Office of Environment and Heritage (OEH) is producing a new map of the State’s native vegetation. This seamless map of NSW’s native vegetation types will enable government, industry and the community to better understand the composition and the relative significance of the native vegetation in their local area.\r The State Vegetation Type Map (SVTM) (http://www.environment.nsw.gov.au/vegetation/state-vegetation-type-map.htm) is constructed from the best available imagery, site survey records, and environmental information.\r \r The primary thematic layer in this dataset is a regional scale map of Plant Community Type (PCT) - "quickview" map. \r \r Where spatially coincident, this map of Upper Hunter (v1.0) supersedes the Greater Hunter Native Vegetation Mapping v4.0. VIS ID 3855 and was generated sourcing the following improvements:\r \r * A comprehensive revision of vegetation plot allocation to Plant Community Types (PCT), superseding GHM v4 Map Units.\r * Addition of 463 vegetation plots.\r * Comprehensive revision of aerial photo interpretation of Vegetation Photo Patterns (VPP) at 1:10,000. A relevant selection of PCT’s were nested and modelled within each VPP.\r * Utilisation of Boosted Regression Tree modelling in place of Generalised Dissimilarity Modelling\r * All manual aerial photo interpretation of VPP’s modelled PCT’s performed using high resolution 50cm ADS-40 aerial imagery in place of SPOT-5 2.5m imagery.\r * Semi-automated line work generated using high resolution 50cm ADS-40 aerial imagery in place of SPOT-5 2.5m imagery.\r * Climatic and topographic rule based envelopes were generated to constrain the maximum spatial envelope for each PCT. Each envelope was further manually edited.\r * Dry Sclerophyll communities further constrained by exposure and landform envelopes.\r * Selective integration of the following pre-existing maps to PCT: VIS1849, VIS3863, VIS3913, VIS4184, VIS4778\r * 312 vegetation communities mapped as PCT’s compared to 185 GHMv4 map units over this region.\r \r - - - \r \r QuickView map fields:\r \r * PCTID – Plant Community Type identifier.\r * PCTName – Plant Community Type common names\r * vegClass – The PCT’s Keith Class\r * vegFormation – The PCT’s Keith Formation\r * mapSource - The source of the polygon’s PCT attribution. \r * MapName – The 100k sheet map name\r \r Note that this is a dissolved surface and does not highlight the fine internal line-work within each map unit. Please refer to the 100k full data sheets for the complete editable internal linework, which are available by request to Data.Broker@environment.nsw.gov.au.\r \r The data are provided in an ArcGIS 10.4 compatible file geodatabase.\r \r - - - \r \r Fields in the undissolved 100k sheet fine scale linework:\r \r * polygonID – Unique map polygon identifier\r * PCTID – Plant Community Type identifier\r * PCTName – Plant Community Type common name\r * vegetationClass – The PCT’s Keith Class\r * vegetationFormation – The PCT’s Keith Formation\r * mapSource - The source of the polygon’s PCT attribution. Possible values are:\r \r * Manual editing\r * Site Survey\r * Spatial Modelling\r * Pre-existing mapping: VIS1849\r * Pre-existing mapping: VIS3863\r * Pre-existing mapping: VIS3913\r * Pre-existing mapping: VIS4184\r * Pre-existing mapping: VIS4778\r * Expert Rules (see note on grassland attribution below)\r \r * PCTIDMod1 - The most likely Plant Community Type identifier as derived from the spatial model.\r * PCTIDMod2 - The second most likely Plant Community Type identifier as derived from the spatial model.\r * PCTIDMod3 - The third most likely Plant Community Type identifier as derived from the spatial model.\r * vegStruct - Vegetation Photo Pattern (VPP) as derived from manual aerial photo interpretation of 50cm ADS40 imagery. \r \r Possible values for vegStruct include direct attribution of some PCT’s where possible in addition to these Vegetation Photo Patterns listed below:\r \r * vegStruct (VPP) Description\r * 0 Non Native\r * 1 Candidate Grasslands\r * 2 Dry Sclerophyll\r * 3 Wet Sclerophyll\r * 5 Floodplain Forest\r * 7 Non Woody Wetlands\r * 8 Grass Open Woodlands\r * 10 Rainforests\r * 11 Riparian Forests\r * 12 Acacia Woodlands\r * 13 Shrublands\r * 15 Mallee\r * 16 Rocky Outcrops\r * 17 Belah\r * 100 Dry Rainforest\r \r * PCTmapAccuracyConfidence - Modelling Confidence for PCTIDMod1 – Note that this reflects the modelling surface (PCTIDMod1) only and may not reflect the confidence of the mapped attribution (PCTID). PCTallocationConfidence can only be accurately applied to the published map surface (PCTID) where mapSource = ‘Spatial Modelling’.\r \r * PCTSiteValidation - Type of field validation used to assess PCT reliability:\r \tPossible Values are:\r \r * Not validated\r * RPD (Rapid)\r * Full floristic validation\r * Unknown\r \r - - -\r \r Full details will be provided in the pending Technical Report. \r \r VIS_ID 4893\r

This is a modified product of Geoscience Australia's Smoothed Digital Elevation Model (DEM-S) https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/72759.

The DEM-S layer has been modified by removing negative values by setting these values to zero. This layer has been snapped to a common extent to align with grids in the SVTM Modelling Grid Collection.

The NSW Office of Environment and Heritage (OEH) is producing a new map of the State’s native vegetation. This seamless map of NSW’s native vegetation types will enable government, industry and the community to better understand the composition and the relative significance of the native vegetation in their local area.

The State Vegetation Type Map (SVTM) (http://www.environment.nsw.gov.au/vegetation/state-vegetation-type-map.htm ) is constructed from the best available imagery, site survey records, and environmental information. Existing vegetation mapping has been integrated in some locations. Each vegetation survey is assigned to a Plant Community Type (PCT) and this is used to create a model of the distribution of each type. Their place in the landscape is then attributed based on the visual interpretation of vegetation structure. The SVTM is designed to be dynamically improved and upgraded as new local information becomes available.

Each quickview map is attributed with a code for all three tiers of the NSW vegetation type classification system: Formations, Classes, and Plant Community Types (PCTs).

The following fields are available for all maps:

PCTID: The unique identifier for the Plant Community Type. The PCT Id is captured as part of the mapping program.

PCTName: A colloquial description of the plant community that can be understood by non-botanists. It may include common names of dominant plant species, names of a geographical region, a substrate, a soil type or a climatic zone.

PCTIDMod1: The most likely Plant Community Type to occur in the polygon, identified by its PCT Id. This value is as derived from a spatial model that may provide one or more PCT alternatives. It provides an indication of PCT uncertainty, as several PCTs will usually have some probability of occurring at any particular location.

PCTIDMod2: The second most likely Plant Community Type identifier as derived from a spatial model.

PCTIDMod3: The third most likely Plant Community Type identifier as derived from a spatial model.

mapSource: The various sources of information used in deriving the vegetation map, including spatial models, visual interpretation and existing map products.

vegetationClass: Equivalence of a community to one of the Vegetation Classes as originally defined in the Keith (2004) Statewide Vegetation Map.

vegetationFormation: Equivalence of a community to one of the Vegetation Classes as original defined in the Keith (2004) Statewide Vegetation Map.

USER ACCURACY of Plant Community Type Models:

These results should be interpreted as a reflection of the model user accuracy, not map accuracy. [Map Accuracy = API Accuracy (visual interpretation of ADS40) x Model Accuracy (PCT Model Results)]. The accuracy of the API produced landscape class map has not been assessed at this stage. The model user accuracy below was derived by cross validation for CWL and RIV and by an 80/20 split for BRGN. User accuracy using cross validation is an estimate of how well the model would perform on a new, unmapped location. PCT User Accuracy is represented as a % (percentage). The number of field survey samples is recorded in the field Number of sites per PCT. The summary table below shows the number of PCTs modelled in each study area and the number of sites available (RIV includes pseudo-sites). PCT User Accuracy is weighted by the Number of sites per PCT. Accuracy is not reported for PCTs with less than 5 records. For a full description per PCT of user accuracy, please see attached 'User_Accuracy_per_PCT_VIS_ID_4469.pdf' located below under 'Data and Resources'.

Table 1: SVTM Number of PCTs, number of sites per PCT and PCT User Accuracy (weighted by number of sites)

|:Area::::::| Number of PCTs | Number of Sites | PCT user accuracy weighted by number of sites |

+-----------+-----------------------+----------------------+---------------------------------------------------------------+

|:NBRG*:| 268:::::::::::::::::::::::| 2534:::::::::::::::::::| 54.9::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::|

+-----------+-----------------------+----------------------+---------------------------------------------------------------+

|:CWL**::| 198:::::::::::::::::::::::::| 10463:::::::::::::::| 62.2::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::|

+-----------+-----------------------+----------------------+---------------------------------------------------------------+

|:RIV:::::::| 130::::::::::::::::::::::::| 10699:::::::::::::::| 57.5:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::|

+-----------+-----------------------+----------------------+---------------------------------------------------------------+

|:Total::::| 596:::::::::::::::::::::::::| 23696::::::::::::::::| 58.2::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::|

Results based on 80/20 Cal/Val split*

Cross validation results**

Quickview maps are simplified versions of the vegetation maps and only contain a subset of the attributes available. They are easier to navigate but still contain the top 3 most likely PCTs for each polygon.

The quickview maps are available by request from the Data.Broker@environment.nsw.gov.au. The full datasets are available as 1:100,000 map tiles, also by request from the Data.Broker@environment.nsw.gov.au.

A technical report is in press: State of New South Wales and Office of Environment and Heritage (2016) NSW State Vegetation Type Map – Central NSW, Part A: Summary, NSW Office of Environment and Heritage, Sydney, Australia. Meanwhile, for more technical detail about how the maps are created, or more detailed data, contact Bionet@environment.nsw.gov.au or visit http://www.environment.nsw.gov.au/vegetation/state-vegetation-type-map.htm. VIS_ID 4469

Overview

The NSW Ecosystem Offset Trading Group Map is a regional scale map of candidate non-threatened Ecosystem Offset Trading Groups as defined under the NSW Biodiversity Offset Scheme.

The map covers all of NSW. The mapped Offset Trading Groups are generated by a direct translation of the NSW State Vegetation Type Map (SVTM vC2.0.M2.1) according to the Biodiversity Assessment Method Table 5.

This map is updated in response to annual updates to the NSW State Vegetation Type Map or other relevant information.

Key Fields:

• 'OTG_Name' – Offset Trading Group
• 'SUB_NAME_7' – Sub IBRA Bioregion
• 'OTGSUBIBRA' – A concatenation of the Offset Trading Group and the Sub IBRA Bioregion

New version C2.0M2.1OTG1.0 (not yet available for public release - expected March 2025)

This release includes removal of areas previously mapped as "Not Offset Trading Group", defined as:

• parts of NSW currently considered ineligible for Biodiversity Stewardship Agreements,
• areas mapped as "Not classified" under the SVTM.

Limitations on Use

• The map may be used as a guide to the occurrence and distribution of NSW Ecosystem Offset Trading Groups.
• The map is derived from regional scale mapping of Plant Community Types and should not be used for local or property scale decisions. Planning or investment decisions at the property scale should be supported by ground assessment using the NSW Biodiversity Assessment Method (BAM).
• The map does not include Offset Trading Groups for threatened ecological community (TEC) Ecosystem credit types.
• The map does not describe which Offset Trading Groups are currently in demand

Data Access

Map data may be downloaded as a zipped Geotiff file at the link below. The map may also be viewed on the SEED Map Viewer, or accessed via the underlying ArcGIS REST Services or WMS for integration in GIS or business applications.

Map Data Type

The map is supplied as a 5m GeoTiff Raster, and can be viewed and analysed in most commercial and open-source spatial software packages. No preferred symbology is provided.

Feedback and Support

We welcome your feedback to assist us in continuously improving our products. To help us track and process your feedback, please use the SEED Data Feedback tool available via the SEED map viewer.

Useful Related Data

• Understanding NSW Offset Trading Groups
• The NSW State Vegetation Type map
• Plant Community type to Offset Trading Group lookup tool
• The NSW Biodiversity Offset Scheme like-for-like rules

This dataset was superseded by the State Vegetation Type Map (https://datasets.seed.nsw.gov.au/dataset/nsw-state-vegetation-type-map) on 24.06.2022.\r \r Please note, Western Region v1.0. VIS_ID 4492 web service and zipped dataset will be archived and will no longer be available on line after 31st March 2025.\r \r The NSW Office of Environment and Heritage (OEH) is producing a new map of the State’s native vegetation. This seamless map of NSW’s native vegetation types will enable government, industry and the community to better understand the composition and the relative significance of the native vegetation in their local area.\r The State Vegetation Type Map (SVTM) (http://www.environment.nsw.gov.au/vegetation/state-vegetation-type-map.htm) is constructed from the best available imagery, site survey records, and environmental information.\r \r The primary thematic layer in this dataset is a regional scale map of Plant Community Type (PCT) - "quickview" map. This Version 1.0 release is comprehensive revision of the interim version 0.1 released in 2016. \r \r - - -\r \r A summary of the revisions are listed below:\r \r * An established one-to-one relationship between PCT and Vegetation Photo Pattern (vegStruct)\r * Integration of existing mapping, including: \r \r * VIS_ID 4186 - Survey and mapping of Darling floodplain vegetation communities in 2014\r * Balonne mapping 2016 (VIS_ID 4453)\r * Darling mapping 2016 (VIS_ID 4454\r \r * Manual revision of Vegetation Photo Pattern (VPP’s, vegStruct) with Aerial Photo Interpretation of time series enhanced time-series 2.5m SPOT 5 imagery\r * Reprojection of PCT models across updated VPP’s.\r * Manual revisions of individual PCT’s with Aerial Photo Interpretation of time series enhanced time-series 2.5m SPOT 5 imagery\r * Addition of the following PCT’s:\r \r * 5: River Red Gum herbaceous-grassy very tall open forest wetland on inner floodplains in the lower slopes sub-region of the NSW South Western Slopes Bioregion and the eastern Riverina Bioregion\r * 8: River Red Gum - Warrego Grass - Couch Grass riparian tall woodland wetland of the semi-arid (warm) climate zone (Riverina Bioregion and Murray Darling Depression Bioregion)\r * 21: Slender Cypress Pine - Sugarwood - Western Rosewood open woodland on sandy rises mainly in the Riverina Bioregion and Murray Darling Depression Bioregion\r * 44: Forb-rich Speargrass - Windmill Grass - White Top grassland of the Riverina Bioregion\r * 82: Western Grey Box - Poplar Box - White Cypress Pine tall woodland on red loams mainly of the eastern Cobar Peneplain Bioregion\r * 130: Horse Mulga - Umbrella Mulga shrubland on ranges in the arid and semi-arid climate zones\r * 133: Western Bloodwood - Whitewood low open woodland on Tibooburra Granite\r * 135: Coobah - Western Rosewood low open tall shrubland or woodland mainly on outwash areas in the Brigalow Belt South Bioregion\r * 140: Broombush shrubland in dunefields of the arid climate zone\r * 151: Sandhill Cane Grass hummock grassland on siliceous sands on dune crests of the arid zone\r * 167: Kerosene Grass - Mulka grass - short grassland/forbland of the arid zone\r * 176: Green Mallee - White Cypress Pine very tall mallee woodland on gravel rises mainly in the Cobar Peneplain Bioregion\r * 181: Common Reed - Bushy Groundsel aquatic tall reedland grassland wetland of inland river systems\r * 189: Ephemeral forbland wetland of low-saline lake-beds of the arid and semi-arid (warm) climate zones\r *190: Mallee Box open woodland mainly in the Murray Darling Depression Bioregion\r * 196: Australian Boxthorn open shrubland in the semi-arid or arid climate zones\r * 200: River Red Gum woodland wetland of lake fringes in the semi-arid (hot) and arid climate zones\r * 205: Marsh Club-rush wetland very tall sedgeland of inland watercourses, mainly Darling Riverine Plains Bioregion\r * 206: Dirty Gum - White Cypress Pine tall woodland of alluvial sand (sand monkeys) in the Darling Riverine Plains Bioregion and Brigalow Belt South Bioregion\r * 208: River Red Gum low woodland of rocky gorges and creeks in the Cobar Peneplain\r * 220: Purple Wood (Dead Finish) wattle shrubland of the arid zone sandplains\r * 222: Low Bluebush - Bladder Saltbush open shrubland of the arid zone\r * 231: Coolabah open woodland wetland dunefield depressions of the arid zone\r * 240: River Coobah tall shrubland wetland of the floodplains in the Riverina Bioregion and Murray Darling Depression Bioregion\r * 242: Rats Tail Couch sod grassland wetland of inland floodplains\r * 250: Derived tussock grassland of the central western plains and lower slopes of NSW\r * 261: Swamp Paper-bark shrubland wetland ringing depressions in the Mulga Lands Bioregion\r * 264: Supplejack woodland of the NSW north-western semi-arid plains\r * 359: Porcupine Grass - Red Mallee - Gum Coolabah hummock grassland / low sparse woodland on metamorphic ranges on the Barrier Range, Broken Hill Complex Bioregion\r * 375: Budda Pea - Channel Millet ephemeral reedland wetland on floodplains in north-western NSW\r * 630: Black Box - Silver Saltbush chenopod open woodland on terrace rises on alluvial plains in the lower Darling River and lower Murray River region of the Murray Darling Depression Bioregion\r * 1203: Speargrass natural grassland of the sandplains of the Murray Darling Bioregion\r \r - - -\r \r QuickView map fields:\r \r * PCTID – Plant Community Type identifier.\r * PCTName – Plant Community Type common names\r * vegClass – The PCT’s Keith Class\r * vegFormation – The PCT’s Keith Formation\r * mapSource - The source of the polygon’s PCT attribution. \r * MapName – The 100k sheet map name\r \r Note that this is a dissolved surface and does not highlight the fine internal line-work within each map unit. Please refer to the 100k full data sheets for the complete editable internal linework, available by request from the Data.Broker@environment.nsw.gov.au.\r \r - - - \r \r The 100K full data fields are shown below:\r \r * polygonID – Unique map polygon identifier\r * PCTID – Plant Community Type identifier.\r * PCTName – Plant Community Type common names\r * vegetationClass – The PCT’s Keith Class\r * vegetationFormation – The PCT’s Keith Formation\r * mapSource - The source of the polygon’s PCT attribution. Possible values are:\r \r * Manual editing (Aerial Photo Interpretation)\r * Expert rules and manual edits\r * Spatial Modelling\r * Darling_vegetation_20160120\r * Balonne_vegetation_20160113\r * Existing Mapping VIS4186\r * Site Survey (a site survey exists)\r \r * PCTIDMod1 - The most likely Plant Community Type identifier as derived from the spatial model.\r * PCTIDMod2 - The second most likely Plant Community Type identifier as derived from the spatial model.\r * PCTIDMod3 - The third most likely Plant Community Type identifier as derived from the spatial model.\r * vegStruct - Vegetation Structural Class as derived from initial manual aerial photo interpretation. These values may have been changed during later PCT manual editing to maintain the one-to-one relationship between PCT and Vegetation Structural Class.\r \r Possible values for vegStruct are listed in the table below:\r \r * vegStruct (VPP)\tDescription:\r \r * 0 Unknown\r * 1 Candidate Grasslands\r * 2 Eucalyptus woodlands\r * 3 Casuarina woodlands\r * 4 Cypress Pine woodlands\r * 5 Floodplain forest\r * 6 Non woody wetlands\r * 7 Brigalow\r * 8 Mulga\r * 9 Chenopods\r * 10 Myall woodlands\r * 11 Riparian woody\r * 12 Acacia Tall Shrublands >2m\r * 13 Tall Shrublands >2m\r * 14 Lignum\r * 15 Mallee\r * 16 Nitre wetlands and floodways\r * 17 Hopbush\r * 18 Leopard wood\r * 19 Low shrublands <2m\r \r * PCTmapAccuracyConfidence - Modelling Confidence for PCTIDMod1 – Note that this reflects the modelling surface (PCTIDMod1) only and may not reflect the confidence of the mapped attribution (PCTID). PCTallocationConfidence can only be accurately applied to the published map surface (PCTID) where mapSource = ‘Spatial Modelling’.\r * PCTSiteValidation - Type of field validation used to assess PCT reliability:\r * Possible Values are:\r \r * Not validated\r * RPD (Rapid)\r * Full floristic validation\r \r - - -\r \r Full details will be provided in the pending Technical Report. \r \r VIS_ID 4492

Mapping of Glossy Black-Cockatoo habitat in the Biliirrgan project area (the Nambucca, Bellingen, Coffs and Clarence Local Government Areas in northern NSW). The mapping for Nambucca, Bellingen and Clarence LGAs is derived from the State Vegetation Type Map (SVTM, release C1.1M1) using Plant Community Type data; the mapping for Coffs LGA is derived from the fine-scale mapping of the Coffs Harbour Local Government Area (VIS_ID 4189) using vegetation community data. PCTs/vegetation communities were classified as Glossy Black-Cockatoo habitat if either Allocasuarina torulosa (Forest Oak) or Allocasuarina littoralis (Black She-oak) had a mean cover-abundance score of at least 2 (equating to at least 5 plants, and at least 5% cover, in a 20 m by 20 m plot) AND the frequency (i.e. the proportion of flora survey plots in which a species was recorded) of Forest Oak and Black She-oak in that community summed to at least 10%. Habitat was subdivided into classes (e.g. littoralis_High) based on the frequency and cover abundance of the most frequent Allocasuarina species. Sites from all habitat classes were surveyed in the field, and the density of Allocasuarina cones was estimated, allowing the calculation of the mean number of Allocasuarina cones per hectare for each habitat class.