The pre-1750 and extant Forest Ecosystem maps of the Western sub-region comprise a number of different Generalised Additive Models (GAMs) and interpreted API and soils data. Within the extant vegetation area, expert botanists developed the map by assigning API polygons to vegetation groups, determined by an ecological classification process using PATN software. On cleared land, a combination of soils, GAMs, and classified site data was used to assign vegetation groups to distinct topographic and soil patterns. This hybrid expert and modelling approach was approved and signed off by a review team of expert botanists including two independents, one NPWS representative and one SFNSW representative. Seventy-six distinct ecosystems have been mapped in the pre-1750 map for this sub-region. The extant map was derived from the pre-1750 map by cutting it to the extant vegetation. The extant vegetation layer incorporates the vegetated API polygons from the CRAFTI project, RN17 mapping, and remnants. Seventy-two distinct ecosystems have been mapped in the extant map for this sub-region. (VIS_ID 3792; ANZLIC: ANZNS0208000145)

The extant Forest Ecosystem map for the South Coast sub-region comprises a number of different models and API data. Expert botanists developed the map within extant vegetation, by assigning API polygons to vegetation groups, determined by an ecological classification process using PATN software. The processes used were approved and signed off by a review team of expert botanists including two independents, one NPWS representative and one SFNSW representative. On cleared land, a combination of soils, GAMs modelling, and classified site data was used to assign vegetation groups to distinct topographic and soil patterns. The extant map was derived from masking the pre-1750 map to the extant vegetation. 101 distinct ecosystems have been mapped in the extant map for this sub-region. (VIS_ID 3786; ANZLIC: ANZNS0208000141)

This is the original extant Forest Ecosystem map for the South Coast sub-region, comprising a number of different models and API data. Expert botanists developed the map within extant vegetation, by assigning API polygons to vegetation groups, determined by an ecological classification process using PATN software. The processes used were approved and signed off by a review team of expert botanists including two independents, one NPWS representative and one SFNSW representative. On cleared land, a combination of soils, GAMs modelling, and classified site data was used to assign vegetation groups to distinct topographic and soil patterns. The extant map was derived from masking the pre-1750 map to the extant vegetation. 101 distinct ecosystems have been mapped in the extant map for this sub-region.; ; VIS_ID 3786; ; ANZLIC: ANZNS0208000141 Note that this map was superseded by VIS_IDs 3858 & 3859

Map of the distribution of each forest ecosystem across extant forest in the Lower North East CRA region. Three separate classifications and mapping techniques were used to derive the ecosystems in three distinct biogeographic regions and these classifications and maps were then expertly integrated and merged to create a full coverage across the region. The ecosystems were mapped for application in the Comprehensive Regional Assessment process. ; ; The 100m modelled grid data is to be used in a regional context and not for fine scale interpretation. For areas without detailed vegetation mapping (western portions of the UNE and LNE regions, and the southern portion of the LNE region) the modelled distributions were used to predict the proportion of a modelled ecosystem only. As a result, the exact spatial representation of the data is not designed to be accurate.; ; VIS ID 3883

Map from Beckers, D. & Binns, D. (May 2000). Vegetation Survey and Mapping (Stage 1). NSW Western Regional Assessments. RACAC. ; API map of floristics in areas previously unmapped or requiring updated mapping within the BBS Bioregion. GIS based vegetation map at 1:50,000 scale of State Forests, National Parks estate and crown land within or directly adjacent to the Brigalow Belt South Bioregion (south of Narrabri), suitable for use in conservation and resource assessment, planning and management.; Existing mapping data assessed for suitability in meeting project objectives, by examining the floristic attributes, age of mapping and mapping methodology. 1,296 existing plots were documented from field surveys conducted between 1986 and 1999, with 474 new plots subsequently sampled in six planning areas. While the total number of plots analysed for the Bioregion was 1,264, the species lists were generated from a total of 2,554 available plots. (VIS ID 1028)

The project objective was to prepare a map of forest ecosystems for the Southern CRA Region. Based on the JANIS criteria (JANIS 1997), forest ecosystems are intended to act as broad surrogates for biodiversity within the Southern CRA Region. Note this dataset is no longer available (superseded by VIS_ID 3858). ; VIS_ID 3789

Two spatial products generated for the Comprehensive Regional Assessment (CRA), namely floristic linework captured by aerial photographic interpretation (API), and a; forest ecosystem model, were integrated to provide an improved spatial map of forest ecosystem distribution on the Mid North Coast of NSW. The process involved intuitive assignment of dominant forest ecosystems to polygons captured by the API, and involved a number of iterative steps. The resultant layer is both polygon and grid cell based, and provides an interim spatial product upon which Government agencies will be able to identify high conservation value native vegetation across the Mid North Coast of NSW with reasonable reliability.; The original forest ecosystem classification included some 230 ecosystems, occurring from the Queensland Border to the Lower Hunter Valley. Of these, 124 were eliminated, either because they were not considered to occur in the Mid North; Coast, or they were replaced by new or existing ecosystems. A total of 40 ecosystems were introduced, including splits of existing ecosystems (eg. rainforest) or new ecosystems imported from more recent classifications. The final number of ecosystems mapped within the Mid North Coast for this project was 140. Derivation of current and former extent of each ecosystem was undertaken to provide an index of conservation status in the form of a %-cleared estimate. In; summary, 39 ecosystems possessed a %-cleared value of at least 50%, while 46 ecosystems were less than 20% cleared. Several of those with a high clearing rate are equivalent to endangered ecological communities listed under the Threatened Species Act 1995. In the longer term, an improved classification will be required to replace forest ecosystems, which is overly broad on coastal and private land given the influence of commercial forest types on the classification. Additional targeted API will also be; required in future, as the reliability of API undertaken for the CRA is questionable in many areas. Provision of an improved API coverage and a more appropriate classification will enable production of a new generation of vegetation mapping products for north-east NSW, providing the future basis for property vegetation planning, benchmarking, bio-certification and bio-banking.; VIS_ID 3886