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GeezerVison is showing nkmp.org.au — National Koala Monitoring Program Aims and progressThe NKMP aims to:
Get involvedNKMP have developed two apps for koala monitoring. Koala estimatesCSIRO’s data-driven population model has been built based on tens of thousands of data points spread across the species range. As of May 2025:
These changes in the population estimates do not necessarily indicate a change in actual koala populations, but rather reflect more data being available and a refinement of the modelling approach from previous NKMP estimates. Like any data-driven model, the estimates themselves and associated confidence bounds will change as more data are added. The NKMP model will include data from the NSW Government, collected as part of efforts to collect baseline data on koalas populations across the state, in the future. The next population update is anticipated to include more NSW data to help improve the confidence bounds of the estimate. These population estimates will provide a post-2022 listing baseline. The intention of the NKMP is to establish consistent data-driven modelling that will be able to track population trajectories over time. Over time the NKMP will develop data-driven models of listed population trend to monitor the recovery of the endangered koala. This new survey data and associated population estimate identifies that the baseline population of koala may be higher than previously believed. The next national koala population estimates are due in mid 2026. The intention is to provide population estimates at the regional level where sufficient data are available. Interim updates may also be released where appropriate.
![]() ![]() The NKMP progress to dateStrong collaboration
Innovative statistical modelling
On ground survey effort
Supporting public resources developed
FAQWhat information does the NKMP use?
The NKMP pulls together information on the presence and density of koalas from systematic surveys undertaken throughout their range by CSIRO research teams and by project partners in government, NGOs and universities. We also utilise opportunistic sightings of koalas made by the citizens that are recorded in publicly available databases. All these data on koala abundance are combined with information on the presence of koala habitat trees, soil conditions, rainfall and temperature in an integrated model that produces a prediction of where and how many koalas are likely to occur. Why has the estimate changed so much in 2025?
The change in the population estimate most likely reflects a combination of increased survey effort, more sensitive survey methods, the inclusion of additional data and model improvements. The new survey methods include drones equipped with thermal imaging capability, and acoustic recordings from which male koala bellows are detected using koala call recognising software. Does this mean that koalas have increased significantly since the summer bushfires?
Environmental conditions have been more favourable for koalas since the 2019-20 summer bushfires, though whether this has resulted in a substantial population increase is unclear at this stage. It is likely, however, that a large part of the change in the estimated koala population is attributable to increased survey efforts from the NKMP, including more sensitive surveying techniques (for example, acoustic recording and thermal drones). This has provided greater understanding of koala distribution and density, rather than demonstrating an increasing population over time per se. Geographically, where are there significantly more koalas than previously thought?
Through the more extensive monitoring it has come about that koalas are more continuously distributed through some of the forested areas of the Great Dividing Range than previously thought. How does the 'model' estimate the number of koalas in areas where we haven’t surveyed?
In areas that haven’t been surveyed, we can’t know for certain whether koalas are present or at what density. We can, however, predict their likely density (if they are indeed present) based on their habitat preferences that have been calibrated from areas where they do occur. Before assigning a likelihood of koala presence in unsurveyed areas, we check for nearby observations of koalas, then use a spatial smoothing function for prediction away from these known populations. Where our surveys are sufficiently close together, this enables the model to essentially “join the dots” indicating occupied koala habitat. We are careful not to extend our predictions beyond what can be justified by the known locations of koalas. Is my data included?
All citizen-generated data are considered for use in modelling population numbers, though to avoid using duplicate sightings of the same koala, and to correct for spatial bias in observations, a strict process of data thinning, filtering and verification is implemented. | ||||||||||||||||||||
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