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State Vegetation Type Map: Central Tablelands Region Version 1.0. 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This dataset was superseded by the State Vegetation Type Map (https://datasets.seed.nsw.gov.au/dataset/nsw-state-vegetation-type-map) on 24.06.2022.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

Data and Resources

Metadata Summary What is metadata?

Field Value
Language English
Alternative Title CentTableSVM_v1p0_PCT_E_4778
Edition 1.0
Purpose This dataset was developed under the OEH State Vegetation Map project to provide government and community with regional scale information about native vegetation.
Frequency of change Unknown
Keywords BOUNDARIES-Biophysical,ECOLOGY-Landscape,FLORA-Native,VEGETATION
Metadata Date 2018-01-02
Date of Asset Creation 2017-12-18
Date of Asset Revision 2019-01-05
License Creative Commons Attribution 4.0
Equivalent Scale 25000
Geospatial Topic Biota
NSW Place Name Central Tablelands
Extent

Dataset extent

Temporal Coverage From 2017-02-02
Datum GDA94 Geographic (Lat\Long)
Legal Disclaimer Read
Attribution NSW Department of Climate Change, Energy, the Environment and Water asserts the right to be attributed as author of the original material in the following manner: "© State Government of NSW and NSW Department of Climate Change, Energy, the Environment and Water 2024"