Validating the extent of modelled "rare and vulnerable forest ecosystems" identified during the Southern CRA (Comprehensive Regional Assessment), 1997-2000, was required for ecologically sustainable conservation management of reserves within the NPWS South Coast Region. The validation was for 47 forest ecosystems out of a total of 96 forest ecosystems that occur in the NPWS South Coast Region. Considerable improvements were made to the reliability and accuracy of the vegetation ecosystem map. Some 3000 edits were incorporated into the revised forest ecosystem map. Six new ecosystems were newly classified as part of this contract. VIS_ID 4136

Validating the extent of modelled "rare and vulnerable forest ecosystems" identified during the Southern CRA (Comprehensive Regional Assessment), 1997-2000, was required for ecologically sustainable conservation management of reserves within the NPWS South Coast Region. The validation was for 47 forest ecosystems out of a total of 96 forest ecosystems that occur in the NPWS South Coast Region. Considerable improvements were made to the reliability and accuracy of the vegetation ecosystem map. Some 3000 edits were incorporated into the revised forest ecosystem map. Six new ecosystems were newly classified as part of this contract. VIS_ID 4137

Validating the extent of modelled "rare and vulnerable forest ecosystems" identified during the Southern CRA (1997-2000) was required for ecologically sustainable conservation management of reserves within the NPWS South Coast Region. The validation was for 47 forest ecosystems out of a total of 96 forest ecosystems that occur in the NPWS South Coast Region. VIS_ID 4130

Validating the extent of modelled "rare and vulnerable forest ecosystems" identified during the Southern CRA (1997-2000) was required for ecologically sustainable conservation management of reserves within the NPWS South Coast Region. The validation was for 47 forest ecosystems out of a total of 96 forest ecosystems that occur in the NPWS South Coast Region. VIS_ID 4131

Validating the extent of modelled "rare and vulnerable forest ecosystems" identified during the Southern CRA (1997-2000) was required for ecologically sustainable conservation management of reserves within the NPWS South Coast Region. The validation was for 47 forest ecosystems out of a total of 96 forest ecosystems that occur in the NPWS South Coast Region. VIS_ID 4132

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

This dataset contains spatial layers describing Forest Canopy Extent from 1995-2019 in NSW Regional Forest Agreements (RFA) Areas along the eastern coast. Forest Canopy Extent is the likelihood that a certain area has forest at any given time. Forest Canopy is defined in accordance with the National State of the Forests Report which defines forests as containing as a minimum, a mature or potentially mature stand height exceeding 2 metres, stands dominated by trees usually having a single stem, where the mature or potentially mature stand component comprises 20% canopy coverage using a Crown Projective Cover (CPC) measure. These have been based off the National Greenhouse Gas Inventory (NGGI) National Carbon Accounting System (NCAS) National Forest and Sparse Woody Vegetation Data grids (ABARES, 2020). These base grids are Landsat in origin and have a resolution of 25m. To calculate forest canopy extent, these base grids have been processed through a series of land use and vegetation type exclusion masking and a through a fuzzy-logic based certainty analysis to reflect a forest cover extent coverage for NSW that is reflective of past and current coverage. Read more about the project on the Natural Resources Commission website: https://www.nrc.nsw.gov.au/fmip-baselines-ecosystem-health-projectfe1 This dataset is superseded by 'NSW Forest Monitoring and Improvement Program State-Wide Historic Forest Canopy Cover Extent - 1995 to 2020'

This dataset contains spatial layers describing Forest Canopy Loss and Recovery from 1998-2019 in NSW Regional Forest Agreements (RFA) Areas along the eastern coast. These have been based off the National Greenhouse Gas Inventory (NGGI) National Carbon Accounting System (NCAS) National Forest and Sparse Woody Vegetation Data grids (ABARES, 2020). These base grids are Landsat in origin and have a resolution of 25m. For this dataset product and the processing of metrics, aspects of canopy loss and disturbances in the forest estate were investigated. Measures of canopy loss and recovery are seen as one of the multiple indicators of forest health. This is related to agents or pressures that affect the capacity of native forests and commercial operations to maintain normal ecosystem functions and sustainably provide productive capacity. To attribute disturbances, as a driver of change, a Multiple Lines of Evidence (MLE) approach was used that leveraged available spatial datasets. This allowed for a project-wide disturbance and disturbance context layer to be generated. This information can be interpreted back against forest cover extent change outputs, in particular the differences between individual years, to identify the areas of change and the likely reasons why. Therefore, landscape trends in forest loss can be potentially assigned or at the very least investigated. The time taken, in terms of years, for areas to recover from losses in forest canopy cover extent can has also been determined. This process identifies the time taken for a patch of forest to return to a 20% canopy cover threshold, and other characteristics such as the forest type and likely disturbance or loss event. Forest Canopy Loss and Recovery uses measures of canopy loss and disturbances which can be interpreted back against forest cover extent change outputs, in particular the differences between individual years, to identify the areas of change and the likely reasons why. Therefore, landscape trends in forest canopy loss can be potentially assigned or at the very least investigated. Time taken in years for areas to recover for losses has also been determined, as-well as other characteristics such as forest type and likely disturbance/loss event. Base cover extent grids used are from the NSW RFA Historic Forest Canopy Cover Extent – 1995 to 2019 product. Read more about the project on the Natural Resources Commission website: https://www.nrc.nsw.gov.au/fmip-baselines-ecosystem-health-projectfe1 This dataset is superseded by 'NSW Forest Monitoring and Improvement Program State-Wide Historic Forest Canopy Loss and Recovery - 1998 to 2020'