Browse Subject Areas

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Needing a drink: Rainfall and temperature drive the use of free water by a threatened arboreal folivore

  • Valentina S. A. Mella ,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Writing – original draft

    Affiliation School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia

  • Clare McArthur,

    Roles Conceptualization, Methodology, Writing – review & editing

    Affiliation School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia

  • Mark B. Krockenberger,

    Roles Conceptualization, Writing – review & editing

    Affiliations Sydney School of Veterinary Science, The University of Sydney, Sydney, New South Wales, Australia, Marie Bashir Institute for Emerging Infectious diseases and Biosecurity, The University of Sydney, New South Wales, Australia

  • Robert Frend,

    Roles Conceptualization, Investigation, Project administration, Writing – review & editing

    Affiliation School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia

  • Mathew S. Crowther

    Roles Formal analysis, Funding acquisition, Writing – review & editing

    Affiliation School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia

Needing a drink: Rainfall and temperature drive the use of free water by a threatened arboreal folivore

  • Valentina S. A. Mella, 
  • Clare McArthur, 
  • Mark B. Krockenberger, 
  • Robert Frend, 
  • Mathew S. Crowther


Arboreal folivores are particularly vulnerable to the impacts of extreme climate change-driven heatwaves and droughts as they rely on leaf moisture to maintain hydration. During these increasingly frequent and intense weather events, leaf water content may not be enough to meet their moisture requirements, potentially leading to large-scale mortality due to dehydration. Water supplementation could be critical for the conservation of these animals. We tested artificial water stations for a threatened arboreal folivore, the koala (Phascolarctos cinereus), as a potential mitigation measure during hot and dry weather in New South Wales, Australia. We provided ground and tree drinkers to koalas and investigated changes in use with season, environmental conditions and foliar moisture. Our study provides first evidence of the regular use of free water by koalas. Koalas used supplemented water extensively throughout the year, even during cooler months. Time spent drinking varied with season and depended on days since last rain and temperature. The more days without rain, the more time koalas spent drinking. When temperature was high, visits to water stations were more frequent, indicating that in hot weather koalas need regular access to free water. Our results suggest that future changes in rainfall regimes and temperature in Australia have the potential to critically affect koala populations. Our conclusions can be applied to many other arboreal folivorous mammals worldwide which rely on leaves for their nutritional and water requirements. Artificial water stations may facilitate the resilience of vulnerable arboreal folivores during heat and drought events and may help mitigate the effects of climate change.


Climate change affects the distribution and abundance of animal and plant species by modifying climate regimes, and by causing changes in habitat quality and ecosystem structure [1, 2]. In Australia, a large number of taxa, including corals [3], mammals and birds [46], and plants [7] are already impacted by climate change related causes. Trees of the Eucalyptus genus, which occupy the majority of Australian forests and woodlands [8], are predicted to undergo significant changes in distribution [9, 10], and in chemical and nutritional leaf composition [1113] due to climate change. These changes will in turn affect many leaf eating mammals that rely on these plants for their nutritional needs [11, 14, 15]. The koala (Phascolarctos cinereus) is one such species.

Koalas are specialist folivorous marsupials native to Australia, which feed almost exclusively on a relatively small number of Eucalyptus, Angophora and Corymbia species [16]. They are widely but patchily distributed over their historical range in eastern Australia, and have been experiencing drastic population declines and local extinctions [17, 18]. They are listed as threatened at both State (Australian Capital Territory, New South Wales and Queensland) and Commonwealth level. The decline of koalas is mostly attributed to habitat loss and fragmentation [19], diseases such as Chlamydia [20, 21], and mortality due to fire, attacks by dogs, and vehicle collisions [22, 23]. However, they are also particularly vulnerable to the effects of climate change, suffering heat stress, and because the tree species they rely on are affected by altered temperature and rainfall [24].

Koalas, like other folivores, mostly use dietary water derived from foliage to meet their water requirements [25, 26]. Water content in leaves can be as important as nutrients for koalas and is a key driver of foliage and tree selection [27, 28], especially in hot months [25, 29, 30]. Minimum leaf moisture thresholds required by koalas differ between seasons and are higher in hotter conditions [30, 31], but leaf water is normally sufficient to meet koalas’ moisture requirements [30, 32]. However, during periods of extreme and prolonged high temperatures and dry conditions, leaf water content may not be enough to meet water needs of koalas This often results in physiological stress [33, 34] and large-scale mortality due to dehydration (as seen in [35, 36, 37]). Hence, during heatwaves and droughts, when koalas are limited by the amount of water in the leaves that they eat, free water availability may play an essential role for their survival. However, there is only anecdotal evidence of drinking behaviour in wild koalas [38, 39, 40], and previous literature states that in normal circumstances koalas do not need to drink [25, 41, 42].

Here, we investigate whether koalas would use artificial water stations, whether use varies with seasons, environmental conditions (temperature and rainfall) or foliar moisture, and whether ground or in-tree location for water stations is preferred by koalas. Understanding if koalas access free water is fundamental to determine whether water supplementation can be used as a potential climate change mitigation management tool to improve the resilience of this and other threatened arboreal species during extreme hot and dry conditions.

Materials and methods

Study site

The study was conducted on a private property, ‘Dimberoy’ (31°07’33.2”S, 150°00’38.3”E), near the town of Gunnedah, on the Liverpool Plains, in New South Wales, Australia. The Gunnedah region is characterised by a dry, sub-humid climate with a mean annual maximum temperature of 26°C, and mean annual rainfall of 620.4 mm, where winter is usually the driest part of the year [43]. However, the area has recently experienced extended hot and dry summers [43]. In 2006, a state-wide community survey showed that koala populations in the Gunnedah region were the only in the State to show a significant increase in occupancy [44]. However, in 2009 koalas started declining in the area, with many deaths attributed to heatwaves and droughts [35]. The property were the study was conducted is an agricultural farm of about 2100 ha used mostly for grazing cattle. The remnant vegetation consists of open woodland patches of mature Eucalyptus trees dominated by poplar box (E. populnea) and lower numbers of tumble-down redgum (E. dealbata), white box (E. albens) and yellow box (E. melliodora). Koalas in north-west New South Wales live mostly on privately owned agricultural land. Dimberoy has a large free-ranging population of resident koalas.

Experimental set-up

Ten pairs of water stations were positioned at different sites throughout the property, away from available free water sources (at least 400 m). Sites were at least 500 m apart (based on mean koala home range size at the property, unpublished data) to maximise the chances of different koalas visiting the sites and hence ensure independence. Within each site, each water station pair consisted of a ground drinker positioned at the base of a tree, and a tree drinker mounted in the fork of a neighbouring tree at a height of approximately 1.5 m. All trees were heavily used (measured as numbers of koala scats at base of tree) food trees (i.e. eucalypt) and each station pair was set up in trees of the same species.

Each drinker consisted of an automatic refilling drinking bowl (Bainbridge Nylon Automatic Drinking Bowl) with an approximate capacity of 3 L, connected to a water tank (up to 220 L). An adjustable valve maintained a constant level of water in the bowl to provide water ad libitum. A ScoutGuard infrared heat-in-motion sensing cameras (model SG560K) was attached 1 m above the drinker facing downwards to record visits (operational hours: 1800–0800 hours) by koalas for a year (March 2016—March 2017). We used JWatcher [45] to quantify number of visits and time spent drinking (head down, lapping from the bowls at the water stations) by koalas.

We measured air temperature at the trees using Thermochron iButtons (DS1921G; Dallas Semiconductor, Dallas, Texas, USA) attached to the tree trunks at breast height (~1.3 m) on the southwest side of the trees (because this aspect is least exposed to incident solar radiation). The iButtons recorded air temperature data with ± 1 ᵒC accuracy every hour. We obtained maximum daily ambient temperature, mean daily relative humidity and mean daily wind speed from the Gunnedah Airport weather station ( Rainfall quantity (i.e. daily amount of rain and monthly amount of rain), and frequency (i.e. days since last rain) data was obtained from the property rainfall chart records.

Leaf sampling

To determine seasonal variation in moisture level of different species of eucalypt leaves at the study site, we collected leaves from 53 trees in both cool (September 2016) and hot months (February 2017 and March 2017). Collection of leaves in winter (when rain was most abundant) had to be abandoned due to flooding. Individual trees sampled were restricted to those Eucalyptus species selected by koalas for food at the study site [46]: E. populnea (N = 22), E.dealbata (N = 10), E. albens (N = 9) and E.melliodora (N = 12).

Leaf moisture (% fresh weight) was determined following Ellis et al. [25]. For each tree, we removed about 8 g of mature (fully expanded and developed) leaves from the lower third of the canopy and weighted them to the nearest 0.01 g to determine fresh weight using a digital scale. Water content was determined after drying leaves in a forced air oven at 50°C (to prevent the loss of volatile oils) for 5 days [47]. Water content is represented as (weight loss/fresh weight) x100%.

Ethical statement

All specific permissions required for the activities conducted in the study, including sampling procedures and experimental manipulations, and permission to work with threatened species, were approved by the University of Sydney Animal Ethics Committee (#2016/955) and conducted under the NSW National Parks and Wildlife Service Scientific License SL101687. The land owner gave permission to conduct the study on his property.

Statistical analysis

We used the proc glimmix procedure in SAS (SAS 9.4) to test if position of the water stations (ground or tree) and season had an overall effect on number of visits and time spent drinking per visit in separate models. We then tested the effect of climate variables on time spent drinking per visit by running another model including factors related to rainfall and temperature (i.e. days since last rain, tree temperature and wind). We used a generalized linear mixed effects model (GLMM) with a poisson distribution and loglink function for count (visit) data, and GLMMs with a lognormal distribution and identity link function for behavioural data. Site and drinker (nested within site) were the random factors in all three models. We used Tukey-Kramer tests for post-hoc comparisons.

Climatic pairs of variables with a Pearson coefficients > ± 0.5 were considered proxies of one another and only one was included in our third model [48]. We chose to use days since last rain (and not other variables related to quantity of rain) to account for the lag effect of rain [34] and because rainfall is patchy in the Liverpool Plains region (BOM 2018). We used temperature at the tree (and not maximum daily ambient temperature) because one of the strategy used by koalas to thermoregulate is to select cooler trees when temperature is high [49] and dissipate heat by hugging the tree trunks [50, 51].

Finally, we used a GLMM with gaussian distribution and identity link function to test whether leaf moisture at the study site varied between tree species, season and with the interaction tree species x season. Tree ID was included in the model as a random factor.


Mean annual (March 2016—March 2017) rainfall during our study was 637 mm, with rain more abundant in winter than in any other season (Fig 1a) but less frequent than in autumn and spring (Fig 1b). Mean annual maximum temperature was 26.2°C (BOM 2018). However, summer maximum daily temperatures (Fig 2a) were often above 40°C (highest daily temperature recorded was 45.6°C in February 2017) and summer night-time temperatures frequently exceeded 30°C (BOM 2018). Temperature at the tree (Fig 2b) was highly correlated with maximum daily temperature (r = 0.97; P < 0.0001) but was always lower.

Fig 1. Mean ± SE seasonal rainfall obtained from the Dimberoy weather station between March 2016 and March 2017; (a) quantity (i.e. amount of rain) and (b) frequency (i.e. days since last rain).

Fig 2. Seasonal variation in temperature; mean (± SE) (a) maximum daily temperature (source: BOM 2018) and (b) mean (± SE) air temperature (measured with iButtons) at koala food trees at the study site.

Behaviours at water stations

All water stations were used extensively by koalas throughout the year (605 visits in total). Of these, 401 visits resulted in koalas drinking. Koalas always visited the drinkers alone, except for females carrying a young (Fig 3) and the latter never drank. Koalas spent 56% of the total time at the water stations engaged in drinking behaviour. The rest of the time was spent moving (16%), vigilant (9%), investigating the stations (5%) and in other less frequent behaviours such as self-grooming, scratching and calling for mates (14%).

Fig 3. Koalas drinking from tree (left) and ground (right) artificially supplemented water stations at Dimberoy.

Numerous other animals visited the drinkers, including sugar gliders (Petaurus breviceps), feathertail gliders (Acrobates pygmaeus), brushtail possums (Trichosurus vulpecula) at tree drinkers and echidnas (Tachyglossus aculeatus), Eastern grey kangaroos (Macropus giganteous), hares (Lepus europaeus), feral cats (Felis catus) and red foxes (Vulpes vulpes) at ground drinkers, though the latter was also detected in trees [52].

Seasonal effect on visits

Number of visits by koalas depended on season (F3,11 = 20.12; P < 0.0001) but not on position of the drinker (F1,11 = 0.02; P = 0.968), though there was a significant effect of the interaction position x season (F3,11 = 6.18; P = 0.010). In summer, koalas visited the drinkers more (total number of visits) than in any other season (Fig 4a) but mean number of visits to ground and tree drinkers varied depending on the season (Fig 4b).

Fig 4. Seasonal visits to water stations by koalas; (a) total number of visits (cumulative) and (b) mean number of visits to ground and tree drinkers.

Values are Least Squares Means (± SE). Different letters indicate significant differences.

Time spent drinking per visit by koalas depended on season (F3,349 = 4.70; P = 0.0031). There was no overall effect of position of the drinker (F1,349 = 0.18; P = 0.671) but there was a significant position x season interaction (F3,349 = 6.85; P = 0.0002). Total time spent drinking (cumulative) was greater in summer than in other seasons (Fig 5a) but koalas’ preference for drinkers’ position varied with season (Fig 5b).

Fig 5. Time spent drinking by koalas in different seasons; (a) total time (cumulative) and (b) mean time per visit at ground and tree drinkers.

Values are Least Squares Means (± SE). Different letters indicate significant differences.

Weather effect on visits

Time spent drinking per visit by koalas depended on days since last rain (F1,344 = 7.80; P = 0.005) and temperature at the tree (F1,344 = 4.95; P = 0.027) but not on position of the drinker (F1,344 = 0.44; P = 0.506) and wind (F1,344 = 0.49; P = 0.484). Koalas spent more time drinking per visit when rain was infrequent and when temperature at the tree was lower (Table 1).

Table 1. Generalized linear mixed effects model testing the effect of weather variables (wind, temperature and rainfall) and position of the drinkers on time koalas spent drinking per visit.

Asterisk (*) indicates significance.

Leaf moisture

Mean leaf water content at the study site was 53% fresh weight and did not change with season (F1,68 = 2.14; P = 0.148), did not vary significantly between species (F3,68 = 1.56; P = 0.208; E. albens 52%, E. dealbata 52%, E. melliodora 54%, E. populnea 53%), and was not influenced by the interaction season x species (F3,68 = 2.13; P = 0.104).


Our study is the first to document the use of free water by koalas, suggesting that water supplementation may help this arboreal folivore during extreme weather events. We show that koalas visit artificial water stations extensively and that the use of free water depends on rainfall and temperature. Water stations are used more in hot and dry periods, suggesting that free water may be needed by koalas in extreme climatic conditions.

Koalas showed no clear preference for ground or tree drinkers and used both throughout the year. However, number of visits and time spent drinking at ground and tree drinkers varied with season. For example, in spring koalas spent more time drinking at ground water stations than at those in trees, while in autumn the pattern was reversed (Fig 5b). This might be because koalas prefer to rest in different position in the trees across seasons. In warmer weather, koalas can often be found at the base of trees to escape the heat [53], while in cooler conditions they spend more time in the higher tree canopy [50]. Hence, koalas might have accessed drinkers opportunistically and selected the most convenient position (ground or tree) depending on seasonal encounter rate.

Water stations also attracted other herbivores and carnivores, including feral animals like hares, cats and foxes. To reduce the likelihood of these species gaining access to water and to minimise the risk of predation on the ground, we suggest providing water above ground in future supplementation studies targeting arboreal species such as koalas.

In summer, when temperature was high and water loss more acute and rapid than in other seasons, the use of both tree and ground drinkers increased. Total number of visits (Fig 4a) and total time spent drinking (Fig 5a) doubled compared to other seasons. However, time spent drinking per visit (Fig 5b) was comparatively greater in spring (at ground drinkers) and in autumn (at tree drinkers) than in summer (at either locations). This is because koalas employed different behavioural strategies to obtain water depending on temperature. In summer, when temperature was extreme, they drank for a shorter duration at each visit but visited more frequently, while in autumn and in spring, they had comparatively longer drinking sessions but visited water stations less often (Figs 4 and 5).

Frequent access to free water may be fundamental for koalas to assist thermoregulation when temperatures are high. Koalas reduce evaporative cooling from the respiratory tract, which accounts for their greatest water loss [54], by using tree trunks to dissipate heat and thermoregulate [50]. However, the hotter the temperature, the harder would be for koalas to achieve adequate conductive heat loss; and the more water koalas lose through evaporative cooling, the more water they will need to meet water requirements. Hence, the capacity of koalas to thermoregulate in extreme heat might depend exclusively on the availability of water (free or as leaf moisture) [32].

The longer between rain events, the more time koalas spent drinking per visit. This may suggest that when rain is scarce, leaf moisture might not always be sufficient to meet water needs. Eucalyptus foliage normally contains over 50% water but this depends on water availability to the tree (rainfall and surface water) [28] and koalas prefer leaves with high moisture content [33]. The mean percentage of water in leaves in our study (53% fresh weight) was below the 55–65% preference level identified for koalas, under which foliage (including the four Eucalyptus species sampled here) is rejected in captivity [29, 30]. Koala deaths have been reported in Queensland when leaf moisture fell below 51% fresh weight [31], indicating that there might be minimum leaf water threshold levels required for koalas to sustain their water requirements and these will likely vary with climatic conditions. Leaf moisture in our study, although not extremely low, did not appear to adequately meet these requirements when temperature was high and rain was infrequent, as water stations were used extensively by koalas.

Leaf moisture did not vary between species nor did it change between cool and hot months. It is possible that we have missed subtle changes in leaf moisture as this was only measured three times in a year. However, we consider this unlikely as other studies have found little seasonal variation in leaf moisture over one year [55] and a lag effect (up to six months) of rainfall on leaf water content [56]. Nevertheless, in future studies, we recommend measuring foliar moisture more often throughout the year to ensure that finer changes (if existent) can be detected.

Many koalas at the study site are affected by Chlamydia pecorum [57], a bacterial infection that causes urinary and reproductive disease in koalas [58]. It is unknown whether the disease influences their drinking behaviour but koalas have been observed drinking profusely when unwell [59]. We could not identify individual koalas at drinkers, hence, it was not possible to link drinking behaviour to disease status. In future studies, it would be beneficial to determine koalas’ identity so the effect of disease on drinking behaviour can be tested.

Our findings suggest that when temperature is high and rain scarce, koalas intensify their drinking behaviour to sustain their increased water requirements as a strategy to cope with extreme weather conditions. Heatwaves and droughts are becoming increasingly common and severe in Australia [60] and climatic warming is predicted to have severe effects on plants [61] and fauna [62], especially in eastern Australia, where koalas are distributed [16]. Our results support previous research suggesting that rising temperatures and lack of rainfall likely play a pivotal role in koalas’ decline [63, 64].

Similar results may be expected for many arboreal folivorous animals which rely on leaves for their nutritional and water requirements. For example, the distribution of another specialist tree-dwelling folivore, the green ringtail possum (Pseudochirops archeri), is limited by the duration and severity of extreme weather events and the availability of free water and leaf moisture, with range contractions, population declines and extinctions predicted with climate change [65]. Similarly, climatic changes such as drier and prolonged dry seasons, limit reproduction and survival of Milne-Edwards' sifaka (Propithecus edwardsi), a folivore lemur from Madagascar [66]. Hence, climate change could reduce the capacity of many folivores to persist in their original distribution range.

Based on our results, one mechanism for these contractions is the increased need of water to sustain water requirements. Arboreal folivorous mammals like the koala, are limited in their food intake by leaf toxins [30, 67], which in turn affect their water intake in the form of foliar moisture. Hence, they simply cannot eat more leaves if they need more water. Increased CO2 emissions are predicted to increase the level of phenolics and tannins in plants [68, 69], including in Eucalyptus leaves [70], further reducing the capacity of koalas to gain enough foliar water. Therefore, supplementing free water might represent one of the ways to reduce the detrimental effects on koala’s food trees expected with climate change.


We have shown that koalas use supplemented water extensively throughout the year and in particular if temperature is high or rain infrequent. Our results overturn previous understanding of how koalas stay hydrated in the face of a changing climate. Artificial water stations have been identified as a powerful tool for maintaining biodiversity in arid zones [71] including in Australia [72], although they may also attract and favour feral species [52]. Our study demonstrates that they may also represent a practical management tool for the conservation of vulnerable arboreal folivores experiencing water deficient conditions. Provision of supplementary water sources may be identified as a basic need to help these animals survive through long dry and hot spells, when ground water is non-existent or when rainfall events are widely separated, but benefits have to be considered against costs related to non-target species. The next step is quantification of the potential benefit of water stations as a mitigation tool against heat-stress during heatwaves and droughts. Longer-term monitoring is required to determine if water supplementation can maintain populations throughout periods of extreme weather. Future studies should include measurement of water turnover rates and explore how free water availability affect animal’s health.

Supporting information

S1 Dataset. Koala drinking behaviour data.

All data used in the study are available as supporting information.



The authors thank A. Rus, J. Lindsay and J. Wiggins for leaf collections, C. King and Z. Hilton for the assistance with behavioural scoring, and D. Frend and family for access to the property where the study was conducted. The study was approved by the University of Sydney Animal Ethics Committee (# 2016/955) and conducted under the NSW National Parks and Wildlife Service Scientific License SL101687.


  1. 1. Williams JW, Jackson ST. Novel climates, no-analog communities, and ecological surprises. Front Ecol Environ. 2007; 5:475–482.
  2. 2. Fitzpatrick MC, Hargrove WW. The projection of species distribution models and the problem of non-analog climate. Biodivers Conserv. 2009; 18:2255–2261.
  3. 3. Hughes TP, Kerry JT, Simpson T. Large-scale bleaching of corals on the Great Barrier Reef. Ecology. 2018; 99:501–502. pmid:29155453
  4. 4. Parris KM, Hazell DL. Biotic effects of climate change in urban environments: The case of the grey-headed flying-fox (Pteropus poliocephalus) in Melbourne, Australia. Biol Conserv. 2005; 124:267–276.
  5. 5. Green K, Pickering CM. A potential scenario for mammal and bird diversity in the Snowy Mountains of Australia in relation to climate change. In: Körner C, Spehn EM, editors. Mountain Biodiversity: A Global Assessment. London: Parthenon Publishing; 2002. p. 241–249.
  6. 6. Welbergen JA, Klose SM, Markus N, Eby P. Climate change and the effects of temperature extremes on Australian flying-foxes. Proceedings of the Royal Society B: Biological Sciences. 2008; 275:419–425. pmid:18048286
  7. 7. Fensham RJ, Holman JE. Temporal and spatial patterns in drought-related tree dieback in Australian savanna. J Appl Ecol. 1999; 36:1035–1050.
  8. 8. Boland D, Brooker M, Chippendale G, Hall N, Hyland B, Johnston R, et al. Forest Trees of Australia. 5th ed: CSIRO Publishing; 2006.
  9. 9. Hughes L, Cawsey EM, Westoby M. Climatic range sizes of eucalyptus species in relation to future climate change. Glob Ecol Biogeogr Lett. 1996; 5:23–29.
  10. 10. Adams-Hosking C, McAlpine C, Rhodes JR, Grantham HS, Moss PT. Modelling changes in the distribution of the critical food resources of a specialist folivore in response to climate change. Divers Distrib. 2012; 18:847–860.
  11. 11. Kanowski J. Effects of elevated CO2 on the foliar chemistry of seedlings of two rainforest trees from north-east Australia: Implications for folivorous marsupials. Austral Ecol. 2001; 26:165–172.
  12. 12. Duff GA, Berryman CA, Eamus D. Growth, biomass allocation and foliar nutrient contents of two eucalyptus species of the wet-dry tropics of australia grown under CO2 enrichment. Funct Ecol. 1994; 8:502–508.
  13. 13. Roden JS, Ball MC. Growth and photosynthesis of two eucalypt species during high temperature stress under ambient and elevated [CO2]. Glob Change Biol. 1996; 2:115–128.
  14. 14. Moore BD, Wiggins NL, Marsh KJ, Dearing MD, Foley WJ. Translating physiological signals to changes in feeding behaviour in mammals and the future effects of global climate change. Animal Production Science. 2015; 55:272–283.
  15. 15. Beale PK, Marsh KJ, Foley WJ, Moore BD. A hot lunch for herbivores: physiological effects of elevated temperatures on mammalian feeding ecology. Biological Reviews. 2018; 93:674–692. pmid:28881466
  16. 16. Martin RW, Handasyde KA, Krockenberger A. Koala . In: Van Dyck S, Strahan R, editors. The Mammals of Australia. 3rd ed. Sydney: Reed New Holland; 2008. p. 198–201.
  17. 17. McAlpine C, Lunney D, Melzer A, Menkhorst P, Phillips S, Phalen D, et al. Conserving koalas: A review of the contrasting regional trends, outlooks and policy challenges. Biol Conserv. 2015; 192:226–236.
  18. 18. Melzer A, Carrick F, Menkhorst P, Lunney D, John BS. Overview, critical assessment, and conservation implications of koala distribution and abundance. Conserv Biol. 2000; 14:619–628.
  19. 19. McAlpine CA, Rhodes JR, Callaghan JG, Bowen ME, Lunney D, Mitchell DL, et al. The importance of forest area and configuration relative to local habitat factors for conserving forest mammals: A case study of koalas in Queensland, Australia. Biol Conserv. 2006; 132:153–165.
  20. 20. Polkinghorne A, Hanger J, Timms P. Recent advances in understanding the biology, epidemiology and control of chlamydial infections in koalas. Vet Microbiol. 2013; 165:214–223. pmid:23523170
  21. 21. Jobbins SE, Sanderson CE, Griffith JE, Krockenberger MB, Belov K, Higgins DP. Diversity of MHC class II DAB1 in the koala (Phascolarctos cinereus). Aust J Zool. 2012; 60:1–9.
  22. 22. Lunney D, Gresser S, O’Neill LE, Matthews A, Rhodes J. The impact of fire and dogs on koalas at Port Stephens, New South Wales, using population viability analysis. Pac Conserv Biol. 2007; 13:189–201.
  23. 23. Dique DS, Thompson J, Preece HJ, Penfold GC, Villiers DLd, Leslie RS. Koala mortality on roads in south-east Queensland: the koala speed-zone trial. Wildl Res. 2003; 30:419–426.
  24. 24. Reckless HJ, Murray M, Crowther MS. A review of climatic change as a determinant of the viability of koala populations. Wildl Res. 2017; 44:458–470.
  25. 25. Ellis WAH, Melzer A, Green B, Newgrain K, Hindell MA, Carrick FN. Seasonal-variation in water flux, field metabolic-rate and food-consumption of free-ranging koalas (Phascolarctos cinereus). Aust J Zool. 1995; 43:59–68.
  26. 26. Degabriele R, Harrop CJF, Dawson TJ. Water metabolism of the koala (Phascolarctos cinereus). In: Montgomery GG, editor. The Ecology of Arboreal Folivores. Washington, USA: Smithsonian Institute Press; 1978. p. 163–172.
  27. 27. Munks S, Corkrey R, Foley W. Characteristics of arboreal marsupial habitat in the semi-arid woodlands of northern queensland. Wildl Res. 1996; 23:185–195.
  28. 28. Wu H, McAlpine C, Seabrook L. The dietary preferences of koalas, Phascolarctos cinereus, in southwest Queensland. Aust Zool. 2012; 36:93–102.
  29. 29. Pahl LI, Hume ID. Preferences for Eucalyptus species of the New England Tablelands and initial development of an artificial diet for koalas. In: Lee AK, Handasyde KA, Sanson GD, editors. Biology of the Koala. Chipping Norton, NSW: Surrey Beatty & Sons; 1990. p. 123–128.
  30. 30. Hume I, Esson C. Nutrients, antinutrients and leaf selection by captive koalas (Phascolarctos cinereus). Aust J Zool. 1993; 41:379–392.
  31. 31. Clifton ID. High koala mortality associated with low browse moisture in tropical environments. Aust Mammal. 2010; 32:157–159.
  32. 32. Clifton ID, Ellis WAH, Melzer A, Tucker G. Water turnover and the northern range of the koala (Phascolarctos cinereus). Aust Mammal. 2007; 29:85–88.
  33. 33. Davies N, Gramotnev G, Seabrook L, McAlpine C, Baxter G, Lunney D, et al. Climate-driven changes in diet composition and physiological stress in an arboreal folivore at the semi-arid edge of its distribution. Biol Conserv. 2014; 172:80–88.
  34. 34. Davies N, Gramotnev G, McAlpine C, Seabrook L, Baxter G, Lunney D, et al. Physiological stress in koala populations near the arid edge of their distribution. PLoS ONE. 2013; 8:e79136. pmid:24265749
  35. 35. Lunney D, Crowther MS, Wallis I, Foley WJ, Lemon J, Wheeler R, et al. Koalas and climate change: a case study on the Liverpool Plains, north-west New South Wales. Wildlife and Climate Change: Royal Zoological Society of New South Wales; 2012. p. 150–168.
  36. 36. Seabrook L, McAlpine C, Baxter G, Rhodes J, Bradley A, Lunney D. Drought-driven change in wildlife distribution and numbers: a case study of koalas in south west Queensland. Wildl Res. 2011; 38:509–524.
  37. 37. Gordon G, Brown AS, Pulsford T. A koala (Phascolarctos cinereus Goldfuss) population crash during drought and heatwave conditions in south-western Queensland. Aust J Ecol. 1988; 13:451–461.
  38. 38. Adams-Hosking C, Grantham HS, Rhodes JR, McAlpine C, Moss PT. Modelling climate-change-induced shifts in the distribution of the koala. Wildl Res. 2011; 38:122–130.
  39. 39. Nagy K, Martin R. Field metabolic rate, water flux, food consumption and time budget of koalas, Phascolarctos cinereus (Marsupialia: Phascolarctidae) in Victoria. Aust J Zool. 1985; 33:655–665.
  40. 40. Sullivan BJ, Baxter GS, Lisle AT. Low-density koala (Phascolarctos cinereus) populations in the mulgalands of south-west Queensland. III. Broad-scale patterns of habitat use. Wildl Res. 2003; 30:583–591.
  41. 41. Pratt A. The call of the koala. Melbourne: Robertson & Mullens 1937.
  42. 42. Jackson S. Family Phascolarctidae (Koala). Handbook of the Mammals of the World Volume 5: Marsupials. Barcelona: Lynx Editions; 2015. p. 400–417.
  43. 43. BOM. Latest Weather Observations for Gunnedah Airport 2018.
  44. 44. Lunney D, Crowther MS, Shannon I, Bryant JV. Combining a map-based public survey with an estimation of site occupancy to determine the recent and changing distribution of the koala in New South Wales. Wildl Res. 2009; 36:262–273.
  45. 45. Blumstein DT, Daniel JC. Quantifying behaviour the JWatcher way. Sunderland, Massachusetts, USA: Sinauer Associates; 2007.
  46. 46. Dargan JR, Moriyama M, Mella VSA, Lunney D, Crowther MS. The challenge for koala conservation on private land: koala habitat use varies with season on a fragmented rural landscape. Anim Conserv. 2019.
  47. 47. Ellis WAH, Melzer A, Carrick FN, Hasegawa M. Tree use, diet and home range of the koala (Phascolarctos cinereus) at Blair Athol, central Queensland. Wildl Res. 2002; 29:303–311.
  48. 48. Booth GD, Niccolucci MJ, Schuster EG. Identifying proxy sets in multiple linear regression: an aid to better coefficient interpretation. Ogden, USA.: Department of Agriculture, Forest Service, 1994.
  49. 49. Crowther MS, Lunney D, Lemon J, Stalenberg E, Wheeler R, Madani G, et al. Climate-mediated habitat selection in an arboreal folivore. Ecography. 2014; 37:336–343.
  50. 50. Briscoe NJ, Handasyde KA, Griffiths SR, Porter WP, Krockenberger A, Kearney MR. Tree-hugging koalas demonstrate a novel thermoregulatory mechanism for arboreal mammals. Biol Lett. 2014; 10: pmid:24899683
  51. 51. Ellis W, Melzer A, Clifton I, Carrick F. Climate change and the koala Phascolarctos cinereus: water and energy. Aust Zool. 2010; 35:369–377.
  52. 52. Mella VSA, McArthur C, Frend R, Crowther MS. Foxes in trees: a threat for Australian arboreal fauna? Aust Mammal. 2018; 40:103–105.
  53. 53. Every K. Evaluation of a decline in population of the koala, Phascolarctos cinereus (Goldfuss) in Ventnor Reserve, Phillip I Vic, by means of a Triple-Count Technique. Wildl Res. 1986; 13:517–525.
  54. 54. Degabriele R, Dawson TJ. Metabolism and heat balance in an arboreal marsupial, the koala (Phascolarctos cinereus). Journal of comparative physiology. 1979; 134:293–301.
  55. 55. Speight KN, Collela D, Boardman W, Taggart DA, Haynes JI, Breed WG. Seasonal variation in occurrence of oxalate nephrosis in South Australian koalas (Phascolarctos cinereus). Aust Mammal. 2018; 41:92–98.
  56. 56. Wu H. Influence of leaf chemistry on dietary choice and habitat quality of koala (Phascolarctos cinereus) populations in southwest Queensland: The University of Queensland; 2018.
  57. 57. Fernandez CM, Schmertmann LJ, Higgins DP, Casteriano A, Iriny L, Mella VSA, et al. Genetic differences in Chlamydia pecorum between neighbouring sub-populations of koalas (Phascolarctos cinereus). Vet Microbiol. in press. pmid:30853132
  58. 58. Higgins DP, Hemsley S, Canfield PJ. Immunohistochemical demonstration of the role of Chlamydia spp. in renal, uterine and salpingeal disease of the koala, and demonstration of Chlamydia spp. in novel sites. J Comp Pathol. 2005; 133:164–174.
  59. 59. Phillips B. Koalas: the little Australians we’d all hate to lose. Canberra, ACT, Australia: Australian National Parks and Wildlife Service. AGPS Press; 1990.
  60. 60. CSIRO, BOM. State of climate 2018. 2018.
  61. 61. Woodward FI, Rochefort L. Sensitivity analysis of vegetation diversity to environmental change. Glob Ecol Biogeogr Lett. 1991; 1:7–23.
  62. 62. Brereton R, Bennett S, Mansergh I. Enhanced greenhouse climate change and its potential effect on selected fauna of south-eastern Australia: A trend analysis. Biol Conserv. 1995; 72:339–354.
  63. 63. Lunney D, Stalenberg E, Santika T, Rhodes JR. Extinction in Eden: identifying the role of climate change in the decline of the koala in south-eastern NSW. Wildl Res. 2014; 41:22–34.
  64. 64. Seabrook L, McAlpine C, Rhodes J, Baxter G, Bradley A, Lunney D. Determining range edges: habitat quality, climate or climate extremes? Divers Distrib. 2014; 20:95–106.
  65. 65. Krockenberger AK, Edwards W, Kanowski J. The limit to the distribution of a rainforest marsupial folivore is consistent with the thermal intolerance hypothesis. Oecologia. 2012; 168:889–899. pmid:21987269
  66. 66. Dunham AE, Erhart EM, Wright PC. Global climate cycles and cyclones: consequences for rainfall patterns and lemur reproduction in southeastern Madagascar. Glob Change Biol. 2010; 17:219–227.
  67. 67. Moore BD, Foley WJ, Wallis IR, Cowling A, Handasyde KA. Eucalyptus foliar chemistry explains selective feeding by koalas. Biol Lett. 2005; 1:64–67. pmid:17148129
  68. 68. Craine JM, Elmore AJ, Olson KC, Tolleson D. Climate change and cattle nutritional stress. Glob Change Biol. 2010; 16:2901–2911.
  69. 69. Bidart-Bouzat MG, Imeh-Nathaniel A. Global change effects on plant chemical defenses against insect herbivores. J Integr Plant Biol. 2008; 50:1339–1354. pmid:19017122
  70. 70. Lawler IR, Foley WJ, Woodrow IE, Cork SJ. The effects of elevated CO2 atmospheres on the nutritional quality of Eucalyptus foliage and its interaction with soil nutrient and light availability. Oecologia. 1996; 109:59–68. pmid:28307613
  71. 71. Knight MH. Importance of borehole water to doves and sandgrouse in the semi-arid southern Kalahari. South African Wildlife Research. 1989; 19:42–46.
  72. 72. James CD, Landsberg J, Morton SR. Provision of watering points in the Australian arid zone: a review of effects on biota. J Arid Environ. 1999; 41:87–121.