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Priority Populations for the NSW Koala Strategy 2021-26
The NSW Koala Strategy identifies 50 koala populations in New South Wales based on the Areas of Regional Koala Significance (ARKS) identified by the NSW Government (DPIE 2020), noting that koalas are also found outside these areas. These 50 koala populations have been prioritised in 2 intervention categories: populations for immediate investment populations with key knowledge gaps. The nineteen populations for immediate investment are relatively large koala populations supported by good levels of knowledge but subject to significant threats. These populations have been prioritised for investment because we have a good understanding of their size and distribution, habitat values and the nature and intensity of threats. Through targeted investment and management, we can reduce the threats to these koala populations. Expert assessment of a range of criteria determined whether a population area would be prioritised for investment over the next five years. Many of the nineteen populations are likely to support a minimum of 1000 koalas, and in some cases, they likely support many more. Populations for immediate investment in most cases exactly match existing ARKS. In a few cases, the name of the ARKS has been amended for clarity, and the boundary of several ARKS has also been amended (see Table 1 in MS Word document). For the remaining 31 koala populations, we will address knowledge gaps through a baseline survey program to assess their population status, genetics, and health. Some information is known about these koala populations already, however, in many places there are gaps in our knowledge. Interventions to reduce threats, improve habitat and support population viability will be carried out once the status of koalas is known and key threats identified. It is likely that all koala populations will benefit from local, community- based actions, improved local planning processes and targeted research on the status of koalas and the distribution of habitat. In addition to the initial surveys, for some populations we will use ongoing monitoring to track population trends and measure the effectiveness of interventions. The intervention category of koala populations may change over time. Populations can move between categories as knowledge is improved, or populations are made more secure through strategic interventions. Reference: DPIE 2020, Framework for the spatial prioritisation of koala conservation actions in NSW: Saving our Species Iconic Koala Project
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NSW Koala Priority Population Monitoring program
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The koala priority population monitoring program is an important long-term initiative focused on 20 priority koala populations identified in the NSW Koala Strategy. This program will enhance our understanding of long-term trends and changes in koala distributions at both regional and statewide levels. The program began in 2023 and is designed to analyse patterns of koala occupancy and habitat suitability. It uses acoustic recorders to detect koala calls during the spring mating season and will assess environmental variables including soil and vegetation type, land usage and soil composition to understand patterns of occupancy. Koala priority population monitoring areas have been chosen to provide insights into occupancy trends. These areas overlap with recognised regions of significance for koalas and represent the known geographic range of koalas in New South Wales. By focusing on stronghold populations, the program aims to detect meaningful changes in local koala populations.
NSW Koala Baseline Likelihood Map 2016
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The map presents the distribution of the likelihood of koala occurrence across NSW based on publicly available data held in the Atlas of NSW Wildlife (www.bionet.nsw.gov.au). The proportion (’p’ column) of koalas (‘Koala’ column) recorded relative to a suite of arboreal mammals is presented in a 10 kilometre grid across NSW. A separate 5 kilometre grid is also available for Koala Management Area (KMA) 1 – North Coast. A measure of the confidence (‘Conf’ column) in the likelihood estimate is also presented. In KMA 1 Atlas of NSW Wildlife (Bionet) record data has been supplemented with data from koala spot assessment (SAT) survey along with “rapid SAT” method undertaken where major data deficiencies remained. SAT surveys observation efforts and resulting koala records were used in the same manner as arboreal mammal records. This map can be used to inform the likely occurrence of koalas and informing decisions on mitigation of activities such as native forestry. Distance Koala Likelihood Mapping 5 km - 5 km Grid Cell Koala Likelihood Mapping 10 km - 10 km Grid Cell
Koala Population Decline
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Report of the Independent Review into the Decline of Koala Populations in Key Areas of NSW
Koalas in the landscape (KITL1.0) modelling for NSW
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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.
Koala corridors in south-west Sydney
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Map of koala movement corridors and priority restoration areas in a study area in south-western Sydney. Koala movement corridors are classified as primary, secondary and tertiary according to the level of connectivity of core koala habitat which are critical for the long-term viability of the regional koala population in the study area. Koala corridor categories also consider corridor dimensions such as minimum widths. Koala corridors are likely to extend outside of the study area. They are named, largely by geographic area or river/creek catchment. The mapping, along with key koala conservation principles, form the basis of advice by the Department of Planning, Industry and Environment related to the conservation of the regional koala population extending from Holsworthy and Moorebank, through Campbelltown and Wollondilly, to Wingecarribee. For further information on the data layer and its development, please see Conserving koalas in Wollondilly and Campbelltown Local Government Areas. Also available for download from Data and resources below.
NSW DPIE - Projections 2016 - Population Summary (LGA) 2011-2036
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This dataset presents a summary of the projected population for 5-year periods between the years of 2011 and 2036 for the state of New South Wales (NSW). The data is presented as aggregations following the Australian Statistical Geography Standard (ASGS) 2016 Local Government Areas (LGA). Population projections provide a picture of the population as it may develop in future years. They provide an indication of the size and age-sex structure of the future population if specified assumptions about future fertility, mortality and migration are realised. Population projections are not forecasts and do not attempt to predict the impact that future government policies, changing economic circumstances or other factors (whether in Australia or overseas) might have on demographic behaviour. For more information please read the Population Projections User Guide. Please note: AURIN has spatially enabled the original data. Population numbers are rounded to the nearest 50. They should not be taken to be accurate to that level of detail.
Koala Habitat Suitability Model for North East NSW
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A habitat suitability model at a 250 m resolution for the Koala Phascolarctos cinereus in north-eastern New South Wales using ‘presence only’ records and MaxEnt modelling. Model extent was based on the extent of Crafti vegetation mapping for north east NSW. Substantial spatial clustering of records in coastal urban areas was reduced using a 2 km spatial filter and by modelling separately two sub-regions divided by the 500 m elevation contour. An average of 1086 occurrence records was used to develop models. A bias file was prepared that accounted for variable survey effort, including the concentration of Koala records along sealed and unsealed roads. A reduced set of 14 variables was used in model building. The models were evaluated using a test set of 25 % of the records, with a resulting good fit for each model, as measured by AUC. Frequency of wildfire, Australian Soil Classification, floristic mapping and elevation had the highest relative contribution to the model, whilst a number of other variables made minor contributions. The model was field validated at 65 ground-truth sites.
NSW DPIE - Projections 2016 - Population by Ages - Low Population Areas (LGA) 2011-2036
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This dataset presents projected population by ages for 5-year periods between the years of 2011 and 2036 for the state of New South Wales (NSW). The data is presented as aggregations following the Australian Statistical Geography Standard (ASGS) 2016 Local Government Areas (LGA). Population projections provide a picture of the population as it may develop in future years. They provide an indication of the size and age-sex structure of the future population if specified assumptions about future fertility, mortality and migration are realised. Population projections are not forecasts and do not attempt to predict the impact that future government policies, changing economic circumstances or other factors (whether in Australia or overseas) might have on demographic behaviour. For more information please read the Population Projections User Guide. Please note: AURIN has spatially enabled the original data. Population numbers are rounded to the nearest 50. They should not be taken to be accurate to that level of detail. The data has been transposed to present the population age groups as distinct columns and use a compulsory filter to select the projection year. This dataset only covers LGA which have a low population.
NSW DPIE - Projections 2016 - Population High & Low Series (LGA) 2011-2036
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This dataset presents projected population following the three projection series - the main projection, a high and a low projection series for 5-year periods between the years of 2011 and 2036 for the state of New South Wales (NSW). The data is presented as aggregations following the Australian Statistical Geography Standard (ASGS) 2016 Local Government Areas (LGA). The various projection series show the impact on the NSW population when the assumed levels of births, deaths and migration are changed. Population projections provide a picture of the population as it may develop in future years. They provide an indication of the size and age-sex structure of the future population if specified assumptions about future fertility, mortality and migration are realised. Population projections are not forecasts and do not attempt to predict the impact that future government policies, changing economic circumstances or other factors (whether in Australia or overseas) might have on demographic behaviour. For more information please read the Population Projections User Guide.Please note: AURIN has spatially enabled the original data. Population numbers are rounded to the nearest 50. They should not be taken to be accurate to that level of detail.
NSW Koala Sentinel monitoring program - genomics data 2023 - 2024
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The Koala Sentinel Monitoring Program is a multi-year initiative designed to assess koala populations across six key locations in NSW. The program focuses on monitoring disease prevalence, genetic diversity, and ecological factors influencing koala populations. The data collected aims to identify and understand the complex interactions between environmental threats and koala population health, providing insights into long-term population trends. Since its launch, the program has completed one full monitoring cycle (Nov 2023 – Sept 2024) and is currently in its second round, which will conclude in September 2025. Genomics data This metadata statement describes the genomic and individual-level data collected during the first annual sampling period (2023–2024) and links to the publicly available whole genome resequencing (WGR) dataset.