The spatial data maps koala populations and habitat for six study areas in the Clarence Valley LGA of New South Wales. The six study areas defined by Council are Coutts Crossing, Shannon Dam, South Grafton, Waterview Heights, Lawrence and Ashby. All are irregular in shape and geographically separate. In terms of approximate area (ha) within each study area, Coutts Crossing is 3619ha , Shannon Dam is 2868ha, South Grafton is 4282ha, Waterview Heights is 9725ha, Lawrence is 7338ha and Ashby is 4230ha. The data maps both ‘Likely koala habitat’ and Occupied koala habitat’ on all lands except NPWS Estate and Forestry Corporation of NSW estate. ‘Likely koala habitat’ occurs where there is greater than 15% dominance of preferred koala food trees. ‘Occupied koala habitat’ is a spatial subset of ‘Likely koala habitat’ where koala populations are currently viable based upon known presence and their generational persistence over time. The maps were produced under the NSW Government's Koala Strategy in collaboration with Clarence Valley Council.

The Koala Habitat Suitability Models were developed across nine koala modelling regions. This was important because the environmental drivers that dictate habitat suitability vary across NSW. For example, koala’s prefer different tree species on the North Coast compared to the Southern Tablelands. By developing regional KHSMs that are independent of one another, users can consistently compare habitat suitability scores at any given location within a region. This dataset defines the region boundaries or study areas for the models. The regions were defined by an agglomerative hierarchical cluster analysis of the turnover patterns of koala food and shelter species, where aggregation units were represented by local government areas (LGAs) on the coast and tablelands, and Interim Biogeographic Regionalisation of Australia (IBRA) subregions in western NSW. The nine regions fall into two divisions and so eastern and western division values have been added to the attribute table. Tree species patterns are likely to best capture changes in habitat choice and food selection at a regional scale, where it is expected that the key drivers of habitat suitability are much the same within a region (where food choices are similar) but may differ between regions (different food choices). The Koala Habitat Information Base can help prioritise the establishment of new koala reserves and private land conservation agreements, ensure local actions are based on the best available information, and improve the management of threats and disease. It will be an important resource to assist government agencies, local councils and private land holders with koala conservation decisions. The Koala Habitat Information Base is not a regulatory instrument, meaning the data layers do not categorise land for regulatory purposes. It does provide the best available scientific information to support decision makers, rehabilitators, land managers and community members involved in koala conservation.

The Koala Likelihood Map (KLM) predicts the likelihood of finding a koala relative to other arboreal mammals across a 10-km grid covering NSW. It is built using existing arboreal mammal records from the past 20 years (currently 1999 to 2019) and represents the likelihood of koalas as the proportion of all records within a grid cell that are koalas. The records of other arboreal mammals provide a measure of survey effort independent of koalas and allow identification of areas where other arboreal mammals have been recorded, but not koalas. The map also includes a measure of the confidence in the koala likelihood estimate. This enables deficiencies in the data to be highlighted, and recommendations to be made for areas requiring further survey. The KLM is a useful tool that can be used to inform a range of koala conservation and management issues, however it is not static and should be updated regularly as new data become available. The KLM was first developed in 2014 for use in private native forestry regulation, on behalf of the NSW Environment Protection Authority. An updated and refined version of the map (NSW Koala Baseline Likelihood Map 2016) was produced in 2016 and has been used to inform provisions for koala protection under the Coastal Integrated Forestry Operations Approvals and is planned to inform the future review of the Private Native Forestry Code of Practice. This latest version of the KLM (v2.0 August 2019) includes new data from BioNet and Spot Assessment Technique (SAT) survey databases, as well as SAT data from a targeted state-wide field survey program. The KLM v2.0 (August 2019) is delivered under the NSW Koala Strategy's Koala Habitat Information Base. This comprises several layers of spatial information, including: Koala Habitat Suitability Model (KHSM) – the probability of finding koala habitat at any location; Koala Tree Suitability Index (KTSI) – the probability of finding a tree species that koalas are known to use for food or shelter; Koala Likelihood Map (KLM) including a confidence layer – predicts the likelihood of finding a koala at a location; Areas of Regional Koala Significance (ARKS) – identifies key koala populations and management areas with potential for long-term viability as well as priority threats to key koala populations; Native vegetation of NSW – this is a high-resolution map of native tree cover and water bodies; and all koala sightings recorded in NSW Bionet. All Koala Habitat Information Base (KHIB) datasets are available for download below under 'Dataset Relationship'.

Vegetation community mapping for Khatambuhl Nature Reserve by Paul McDonald, 2002. Traditional API methodology was used to complete this job across five reserves for the Manning Area, Mid North Coast NPWS Region:; 1.Brimbin Nature Reserve and adjoining freehold lands.; 2.Coxcomb NR and Anderson VCA.; 3.Khatambuhl NR; 4.Two sections of Killabakh NR ; 5.Freehold purchase area on northwest corner of Goonook NR, around Mount Goonook.; The project consisted of fieldwork where possible and then interpretation of the photos to define the species types present. Some follow up fieldwork was undertaken.; Rather than assign a species type label to each polygon on the area, the polygon was given a number from 1 to n, for each area. A table for the area has a description of each polygon. VIS_ID 380

This dataset contains map data relevant to the Site Investigation Area for Koala Plans of Management Map, as referenced in Chapter 4 of State Environmental Planning Policy (Biodiversity and Conservation) 2021 (Biodiversity and Conservation SEPP). The map is referenced in Chapter 4 of the Biodiversity and Conservation SEPP as the ‘State Environmental Planning Policy (Koala Habitat Protection) 2021—Site Investigation Area for Koala Plans of Management Map’. However, the 2021 SEPP has been repealed and replaced by Chapter 4 of the Biodiversity and Conservation SEPP. The description and method for this layer is detailed below. Site Investigation Area for Koala Plans of Management Map This map identifies areas that are likely to have koala use trees, as well as environmental features such as soil type, topography and climate suitable for sustaining koalas. This map was developed from the Koala Habitat Information Base. The map does not show core koala habitat, and is only relevant as an investigation area, when councils resolve to prepare a Koala Plan of Management. Outside of this process, the map is not relevant and is not used. The map only captures land in the LGAs listed in schedule 21 of the SEPP. The map also excludes the lands that the SEPP does not apply to, such as national parks and state forests. The Site Investigation Area Map is not publicly available. To access this map, please contact your local council or the Department of Planning, Housing and Infrastructure. Contact data.broker@environment.nsw.gov.au for more information.

Department of Parks and Wildlife (DPaW) - Vegetation Complexes - SWF50k The dataset is a comprehensive coverage of pre-1750 distribution of vegetation complexes of the south west forest region of Western Australia. This 1:50,000 mapping was undertaken by Mattiske and Havel (1998) as part of the biodiversity assessment for the comprehensive regional assessment for the south west forest region. The outputs from this project were used as inputs to the assessments of national estate, ecologically sustainable forest management, endangered species and the integration of all these values in the 1999 Regional Forest Agreement (RFA). This dataset covers the full extent mapped by Mattiske and Havel (1998) not just the area within the RFA boundary. In March 2015 the dataset was reviewed to correct known and documented minor attributing errors and additional fields were incorporated including a unique numerical identifier (SWFor_ID). Webb et al. (2016) reviewed the 1:50,000 mapping of the Whicher Scarp and changes were made to ensure the complexes were a continuation of those defined by Mattiske and Havel (1998) and the extent of the landform correlated to that as defined by soil-landscape mapping (DAFWA 2007). In addition the review consolidated the boundaries along the Whicher and Darling Scarp interface with the Swan Coastal Plain. All Swan Coastal Plain complexes were removed and incorporated into the 2016 mapping of the “Swan Coastal Plain Vegetation Complexes” (Webb et al. 2016).

Fine-resolution map of PCTs within the Dorrigo Plateau, the Dorrigo-Junuy Corridor, Deer-New Corridor and the Bagul-New Corridor that are inconclusive. Min polygon size = 0.5 hectares, min polygon width = 20m Field validation of mapping, including ground-truthing, and collection of rapid and full-floristic plot data using the Plant Community Type (PCT) classification. Structural information captured in the following 3 fields:. 1. Dominant Canopy growth stage, 2. Level of disturbance, 3. Stand density.

Koalas in the landscape (KITL1.0) enhances the prioritisation of landscape conservation actions for the Koala Strategy. It measures and forecasts the statewide status and trends in population persistence and habitat carrying capacity, considering future climate change based on NARCliM1.0 climate models. The risk of future clearing of koala habitat is not part of the model. The model projects how the current pattern of native vegetation is able to support koalas into future climate. Spatial data identifies candidate areas for the establishment and enhancement of habitats that are capable of supporting koalas into the future. The project also identifies where translocating koalas into currently unoccupied regions has a higher likelihood of success. For further detail refer to the [KITL1.0 project technical report] (https://www.environment.nsw.gov.au/publications/koalas-landscape). KITL2.0 is currently under development. It also uses NARCliM1.0 climate models. Future versions of KITL will make use of updated climate and other input data, as it becomes available.

This layer reflects the probability of finding a tree species that a koala is known to use for food or shelter. The statewide Koala Habitat Information Base (KHIB) has been developed as part of the NSW Koala Strategy. It delivers the best available state-wide spatial data on koala habitat, likelihood, koala preferred trees and koala sightings for NSW. It will be an important resource to assist government agencies, local councils and private land holders with koala conservation decisions. The Koala Tree Index v1.1 is one dataset under the KHIB. Tree indices were developed for each of the nine Koala Modelling Regions and mosaiced together into a statewide raster. Boosted Regression Tree (BRT) individual tree species distribution models were developed for important food and shelter species, with each KMR possessing a characteristic set of species whose combined distributions added to create index. The choice which species to include in each region was determined by a process of expert elicitation. The statewide product is available for download below as a zipped 5m tif image readable in any spatial software package. An ArcGIS mxd is also supplied for suggested symbology. All Koala Habitat Information Base datasets are available for download at the links below under 'Dataset relationship'. For further information on the data layers and their development, please see the Koala Habitat Information Base Technical Guide.