Open Access
How to translate text using browser tools
14 April 2021 Tree hollow densities reduced by frequent late dry-season wildfires in threatened Gouldian finch (Erythrura gouldiae) breeding habitat
I. J. Radford, S. L. J. Oliveira, B. Byrne, L.-A. Woolley
Author Affiliations +
Abstract

Context. Tree hollows are a key habitat resource for hollow-nesting species, including the northern Australian Gouldian finch (Erythrura gouldiae). Certain fire and disturbance regimes limit tree hollow availability in the northern Australian savannas.

Aims. This study investigated the influence of fire regime and vegetation structure on the density of tree hollows at Gouldian finch breeding sites.

Methods. Fire scars were mapped across breeding sites by using LANDSAT images. Vegetation plots within sites were spatially stratified according to three fire-regime attributes, namely, fire frequency, late dry-season wildfire frequency and time since the last fire. Tree hollow and vegetation structural attributes were measured at each vegetation plot. We modelled the relationship among hollow density, fire and vegetation attributes by using general linear mixed models with site as the random factor.

Key results. We found that the highest tree-hollow density was found at plots with high eucalypt tree density and cover and with the lowest frequency of late dry-season wildfires (<1 wildfire over 5 years). Tree-hollow density declined after >2 years without fire. Hollow density was not directly related to total fire frequency.

Conclusions. This study adds to previous work on grass seed resources in highlighting the importance of fire in Gouldian finch ecology. This study particularly highlighted the importance of reducing the impacts of high-intensity late dry-season wildfires because of their negative impacts on tree-hollow density, which is a key resource for breeding Gouldian finches.

Implications. We recommend the use of a network of interconnected annual patchy early dry-season prescribed burns for protecting Gouldian breeding habitat from threat of high-intensity wildfires. We do NOT recommend fire exclusion from Gouldian finch breeding habitats. This is because fire risks to hollow-bearing trees, and grass seed resources, increase with the long-term accumulation of savanna litter fuels in the absence of fire.

Introduction

North Australian savanna ecosystems are currently undergoing a biodiversity crisis thought to be at least in part attributable to inappropriate fire regimes (Franklin 1999; Franklin et al. 2005; McKenzie et al. 2007; Woinarski et al. 2011; Woinarski and Legge 2013). Fire regimes in much of northern Australia, since the loss of traditional indigenous fire management, have been dominated by high-intensity, frequent, extensive wildfires occurring in the late dry season (Russell-Smith et al. 2003a). Although fire management has reduced late-season wildfire extent in some areas in recent decades (Price et al. 2012; Murphy et al. 2015; Corey et al. 2020), inappropriate fire regimes continue where sufficient fire management is not undertaken (Russell-Smith et al. 2020). Although much of the savanna biota is thought to be fire resilient (Williams et al. 1999; Russell-Smith et al. 2003b; Clarke et al. 2015; Andersen 2020), most threatened elements of the savanna biota appear to be vulnerable to large fires, frequent fires or to high-intensity late dry-season wildfires (Andersen et al. 2005; Legge et al. 2008, 2015; Lawes et al. 2015; Radford et al. 2015, 2020; Corey et al. 2020). In contrast, threatened taxa generally respond more favourably to lower-intensity, patchy, early dry-season fires that result from burning conducted when grass fuels are yet to be fully cured and humidity is still high (Andersen et al. 2005; Legge et al. 2015; Weier et al. 2016; Radford et al. 2020). Few savanna taxa respond favourably to the long-term absence of fire because this leads to progressive conversion of savanna to closed forest with forest-dominated biota (Woinarski et al. 2004; Andersen et al. 2014).

Savanna biota considered most at risk under inappropriate fire regimes include obligate-seeder shrubs found in rugged sandstone (tropical heath; Russell-Smith et al. 2002), rainforest vegetation elements (Russell-Smith and Bowman 1992), fire-killed species, including Callitris intratropica (Bowman et al. 2001), fire-sensitive critical weight-range mammals (Burbidge and McKenzie 1989; Andersen et al. 2005; Woinarski et al. 2011), and also several avian species and groups (Woinarski and Legge 2013). Threatened birds include grass-dwelling species (e.g. fairy wrens; Murphy et al. 2010; Skroblin and Legge 2012), granivores, including grass-feeding finches (Franklin et al. 2005; Legge et al. 2015; Weier et al. 2016), pigeons (Fraser et al. 2003) and also obligate hollow-nesting species (Tidemann et al. 1992; Brazill-Boast et al. 2011b; Woinarski and Legge 2013). Putative mechanisms underlying fire impacts on plants include fire mortality and differing fire functional responses among different species (e.g. Williams et al. 1999; Edwards et al. 2003, Clarke et al. 2015). Mechanisms underlying fauna fire responses are often more complex and relate to survival and reproductive success in the post-fire environment rather than to immediate fire-related mortality (e.g. Begg et al. 1981; Leahy et al. 2015; Weier et al. 2016). Key factors influencing fauna fire responses include loss or alteration of habitat features, resulting in elevated predation (Johnson 2006; McGregor et al. 2014; Leahy et al. 2015; Stobo-Wilson et al. 2020) and changed food-resource availability (Radford 2012).

The endangered Gouldian finch (Erythrura gouldiae) is vulnerable to fire regimes via its influence both on food resource and on nest-site availability (Woinarski and Legge 2013). Approximately a third of the grass finches in northern Australia have undergone declines under current fire regimes and the Gouldian finch is one of these (Franklin 1999; Franklin et al. 2005). In the case of the Gouldian finch, the availability of key grass seed resources as influenced by fire is one mechanism whereby populations may be driven into decline (Dostine et al. 2001; Dostine and Franklin 2002; Legge et al. 2015; Weier et al. 2017, 2018, 2019). However, Gouldian finches are also the only Australian grassfinch that is an obligate tree-hollow nester (Tidemann et al. 1992; Brazill-Boast et al. 2011b) and, therefore, is also at risk from the impacts of inappropriate fire regimes through effects on trees and tree hollows.

Nest hollows can become an important limiting resource for hollow users generally in savannas (Woolley et al. 2018). This is because nest hollows in eucalypt trees may take many decades or longer to be created and only a single disturbance event to be removed. Hollows are mostly formed only once trees attain a certain minimum size (>20 cm diameter at breast height, DBH) through the actions of termites (Woolley et al. 2018). Savanna trees are also apparently very slow growing. For instance, eucalypt tree basal area grew in the absence of fire by just 3.5% in 5 years (Williams et al. 1999) and by ∼30% in 20 years (Russell-Smith et al. 2003b). When burnt, eucalypt trees in the same areas showed no detectable growth (DBH) over 5 and 20 years respectively. However, it can take just one high-intensity fire (Williams et al. 1999), or cyclone (Woolley et al. 2018), to remove large hollow-bearing trees because these are structurally vulnerable. It has also recently been found that termite activity not only creates hollows, but can also block them, which can further limit their availability to hollow-using species (Tidemann et al. 1999; Penton et al. 2020). All of these factors can create a situation of acute shortage of what amounts to a non-renewable resource (in the short term), which may take from decades to more than a century to replenish. Specifically, in relation to Gouldian finches, locations of breeding populations are known to be restricted to areas with high nest-hollow densities (Tidemann et al. 1992; Brazill-Boast et al. 2011b). Gouldian finches have strong selective preferences for particular hollow attributes and dimensions (Tidemann et al. 1999; Brazill-Boast et al. 2013). Gouldian finches also have to compete for suitable hollows with a more common facultative hollow-using species, the long-tailed finch (Poephila acuticauda; Tidemann et al. 1999; Brazill-Boast et al. 2011a). For all these reasons, appropriate fire management of breeding sites for the Gouldian finch is a crucial part of its conservation.

Where potential nesting hollows may be a limiting resource for Gouldian finches, which fire-related factors most strongly influence hollow abundance at breeding sites? Although hollow density was identified as a strong predictor of Gouldian finch habitat use at the broader scale (>60 km2), Brazill-Boast et al. (2011b) were unable to identify factors at the fine scale within breeding habitats (∼1 km2) that could explain availability or use of nesting sites. In the present study, we investigated the influence of fire mosaics and vegetation structure on tree-hollow availability. In this way, we hoped to identify fire-related management that could benefit this hollow-reliant species in tropical savanna landscapes.

Materials and methods

Study area and sites

The study area was within 30 km of the town of Wyndham, north-eastern Western Australia (Fig. 1). This area is part of the extensive tropical savannas that are continuous across northern Australia. Rain mostly falls during the monsoonal summer wet season (December–March), with an average annual rainfall of 824 mm ( http://www.bom.gov.au/climate/averages/tables/cw_001013.shtml). Very little rain falls during an extended dry season in this region (April–November), leading to high curing and flammability of grasses that dominate the savanna understorey, and frequent fires. The region is hot, with mean annual maximum and minimum temperatures of 35.6°C and 23.1°C respectively.

Fig. 1.

(a) Study region near Wyndham in northern Western Australia, and close-ups of the study region showing fire-regime attributes from 2006 to 2014 including (b) total fire frequency, (c) late dry-season fire frequency, and (d) time since last burn. Different colours represent the areas of the same fire frequency, late dry-season fire and the same time since the last burn. Black dots represent vegetation survey plots and black lines are the boundaries of known Gouldian finch breeding sites in the Wyndham region.

WR20108_F1.gif

Study sites were all within known breeding areas of the Gouldian finch (Erythrura gouldiae; Fig. 1). Breeding habitat is confined to areas with relatively high densities of suitable nesting hollows in preferred eucalypt trees (e.g. Corymbia dichromophloa, Eucalyptus miniata; Brazill-Boast et al. 2010, 2011b) and co-occurrence of preferred grasses whose seeds make up the diet of finches (e.g. Sorghum stipoideum, Triodia bitextura, Alloteropsis semialata; Dostine et al. 2001; Dostine and Franklin 2002; Weier et al. 2017, 2018). Most of the suitable breeding habitat in the Wyndham region occurs on low, rocky sandstone hills and ridges with an open eucalypt savanna woodland structure. Discrete breeding sites identified in this context (Brazill-Boast et al. 2011b; Weier et al. 2016) were found on a series of separate ridgelines or hills in the area and so are defined locally by topography and drainage.

Fire-regime attributes

Known breeding sites were stratified according to fire regime, so as to test for its effect on the density of suitable Gouldian finch nesting hollows. A fire atlas containing the annual burnt areas between 2006 and 2014 was compiled for the study area, with information about area burnt (ha) and the year and season of fires. Mapping of the annual burnt areas was derived from Landsat 5 Thematic Mapper (2006), Landsat 7 Enhanced Thematic Mapper Plus (2007–2012) and Landsat 8 Operational Land Imager (2013–2014) imagery, downloaded from the Geographical Survey Global Visualisation Viewer (glovis.usgs.gov). These maps have a spatial resolution of 30 m.

At least one satellite image per month was selected between April and December. Late dry-season fires were classified as those occurring from July to December. No fires were recorded in the months of January to March. However, not all images were suitable because of incomplete coverage caused by clouds, especially in the latter part of the dry season, and more than one image was investigated to ensure full coverage. Pre-processing of the Landsat images was performed with the software ENVI version 5.2 (Exelis Visual Information Solutions, Boulder, Colorado USA) and involved radiometric calibration, converting digital numbers to reflectance, and atmospheric correction, by using dark pixel subtraction.

Burnt-area classification was performed using object-based image analysis (OBIA) with the software eCognition Developer 8.7 (Trimble 2011). OBIA has two steps, namely, segmentation and classification. Segmentation splits the image into unclassified objects on the basis of a measure of spectral properties (e.g. colour), shape, size, texture and context, controlled by parameters set by the user. The best settings for segmentation parameters vary widely, and were determined through a combination of trial and error. After an image was segmented into appropriate image objects, the image was classified by assigning each object to one of two classes, namely, ‘Burnt’ and ‘Unburnt’, on the basis of predetermined features and criteria. Classification results were complemented by thorough manual on-screen editing. The output was nine annual and late dry-season burnt-area maps (2006–2014). This information was used to create separate maps spatially stratifying breeding areas according to time (years) since the last burn (TSLB), fire frequency (number of fires between 2006 and 2014; FF) and frequency of late dry-season fires (number of fires from July to December between 2006 and 2014; freq_LDS).

Vegetation plots

Fifty-five vegetation plots at 14 known Gouldian finch breeding sites were measured for tree-hollow and vegetation variables. Plot locations were initially selected remotely on the basis of stratified maps constructed of fire-history attributes (i.e. TSLB, FF and freq_LDS; see Fig. 1). Vegetation plots were visited in the field in the wet–dry transition (March–May) during 2015, so as to assess vegetation structural attributes before the fire season in that year. Once at each plot location, plots were assessed as suitable or unsuitable Gouldian finch breeding habitat on the basis of the presence of suitable nesting eucalypt trees, such as, for example, C. dichromophloa and E. miniata, and the presence of S. stipoideum grass, which is the main source of grass seeds for Gouldian finches during the breeding season (Weier et al. 2016). Only plots in suitable breeding habitat were recorded. On-ground site assessments of TSLB were made by experienced field savanna ecologists (BB and IJR) to validate the accuracy of fire-regime designation. This assessment was based on the presence of recent fire-killed stems, recent basal and epicormic resprouting among shrubs and trees, post-fire Triodia spp. hummock grass regrowth and the presence of senescent grass and leaf litter at the plot location. Owing to the fine-scale spatial intricacy of both recent (visible) and historic (invisible) fire mosaics, different plot fire attributes were often found within only a few metres of one another. However, plot locations were set a minimum of 50 m apart to ensure independence of both fire regime attributes and vegetation/hollow measurements among vegetation plots.

Each plot was assessed for nest-hollow availability and vegetation structural characteristics (Table 1). From each GPS plot point, all trees (all plants >4 m height) were identified to species and projected tree species canopy cover was estimated using a 1% Bitterlich gauge (Lindsey et al. 1958). Tree basal area (m2 ha−1 timber) was estimated using a Factor 1 glass prism. Eucalypt tree density (Eucalyptus and Corymbia spp.) and total tree density were recorded within a 0.25 ha plot area (50 × 50 m) centred on the plot point. Tree hollows suitable for Gouldian finches (e.g. entrance diameter >30 mm) were counted within the 0.25 ha plot area. Although there is some inherent inaccuracy in using ground-based tree-hollow counts (Penton et al. 2020), low stature (mean canopy height <10 m) and open canopy structure at the study sites relative to many savanna woodlands/forests in northern Australia, are likely to increase detectability and visibility of hollow entrances in this context. The three nearest trees to the plot point were assessed for number of hollows and tree DBH, i.e. 1.3 m from the ground, was recorded.

Table 1.

Explanatory variables measured at survey sites, their definitions and summary statistics

WR20108_T1.gif

Statistical analyses

To model the relationship between hollow density and fire-regime attributes, while controlling for vegetation attributes on a site, we used a generalised linear mixed model (GLMM) with Poisson distribution and log-link, and site was included as a random effect. The response variable was hollow density (number of hollows per hectare). Five covariates were included in the global model (eucalypt cover, eucalypt density, fire frequency, frequency of late dry-season fires, time since last burn; Table 1). There was no collinearity evident among variables. Continuous covariates were centred and standardised for comparison on a similar scale. Pair-plots showing Pearson correlations between covariates showed no inter-correlations (i.e. >0.7). Where Poisson models were over-dispersed, we used a negative binomial distribution. Models were ranked from best to worst on the basis of the second-order Akaike information criterion (AICc). We calculated AICc weights (wi), i.e. conditional probabilities that each model is the best model, and used these to select the top model. Data analyses were run in the R statistical package version 3.6.3 (R Core Team 2020) and the contributed MuMIn (Barton 2019) and lme4 (Bates et al. 2015) packages. Optimal model assumptions were evaluated by plotting residuals versus fitted values, as well as variables included and not included in the model. To test for a significant relationship between the number of hollows and DBH of individual trees, we used a GLMM with site as a random factor.

Results

In the period from 2006 to 2014, fire frequency within Gouldian finch breeding habitat ranged from burnt two to burnt nine times (Fig. 1), frequency of late dry-season fires ranged from burnt one to burnt six times, and time since the most recent fire ranged from 0 to 6 years. None of the Gouldian finch breeding habitat had remained unburnt during the 9-year study period (2006–2014; Fig. 1).

When controlling for eucalypt density and cover, the explanatory fire-attribute variables included in the top-ranked (optimal) model as predictors of site-level tree-hollow density were the frequency of late dry-season fires (2006–2014) and time since the most recent fire (Table 2, Fig. 2). Total fire frequency was not included in the optimal model (Table 2). Tree-hollow density increased with an increasing eucalypt density and cover, and decreased with an increasing frequency of late dry-season fires (Fig. 3). Greatest hollow density was found at intermediate time since the last fire (∼2 years post-fire) and declined to the lowest density at sites after longer periods post-fire (∼6 years; Fig. 3). Hollow number among individual trees was strongly (Fig. 4) and significantly (z-value = 9.179; Pr < 2e−16) influenced by tree DBH.

Table 2.

Results of AICc-based model selection for number of tree hollows per site hectare

Only the most supported models with AICc difference (delta) of <3 are presented. Number of model parameters (d.f.), maximised log-likelihood values (logLik), AICc values (AICc), AICc differences (delta), Akaike weights (weight) and percentage of deviance explained (marginal and conditional R2) are shown for each of the models. See Table 1 for abbreviations of habitat and fire attributes

WR20108_T2.gif

Fig. 2.

Standardised coefficient estimates (filled circle with numerical label) and standard errors (error bars) for optimal GLMM predictors. EucCov, eucalypt canopy cover; EucDens, eucalypt density; LDS, frequency of late dry-season fire; TSLB, time since last burn (Levels 1, 2 and 6). Asterisks indicate significance: *P < 0.05, **P < 0.01.

WR20108_F2.gif

Fig. 3.

Relationship between hollow density (hollow count per hectare) and each optimal model predictor variable, while holding all other variables fixed at their median level (continuous variables) and most common category (categorical variable). Model fit is shown by a black line and 95% confidence interval is represented by a grey band. Grey circles indicate observed data values and are darker when repeated observations occur at the same point. LDS, late dry season.

WR20108_F3.gif

Fig. 4.

Relationship between hollows per tree and tree diameter at breast height (DBH), derived from negative binomial GLMM with site as the random effect. Model fit is shown by a black line and 95% confidence interval is represented by a grey band. Grey circles indicate observed data values and are darker when repeated observations occur at the same point.

WR20108_F4.gif

Discussion

Frequency of late dry-season fires, but not overall fire frequency, had the greatest predictive value for occurrence of suitable nesting hollows for Gouldian finch in the study area, with more frequent high-intensity fires resulting in fewer suitable hollows. Late dry-season fires are known to have a disproportionately large impact on larger hollow-bearing trees (Williams et al. 1999; Radford et al. 2008; Woolley et al. 2018) because hollows are more common in large trees and because larger, older hollow-bearing trees are more vulnerable to fire impacts. Wildfire-related loss of hollows is likely to lead to their long-term absence from a site because of the extended period (decades to over a century) that may be necessary for sufficient tree growth, disturbance and termite activity to replace those lost (Williams et al. 1999; Russell-Smith et al. 2003b; Woolley et al. 2018; Penton et al. 2020). It is, therefore, crucial to maintain this non-renewable breeding resource (in the short-term) in known finch breeding habitats.

Fire frequency has often been identified as an important influence on biodiversity in northern Australia (Yates et al. 2008; Griffiths et al. 2015) and has also been shown to significantly influence savanna hollow densities generally (Woolley et al. 2018). Failure of total fire frequency to influence hollow availability here may be related to the rocky substrates and low fuel biomass found in known Gouldian finch habitat. Gouldian finches breed in rocky, low, infertile sandstone hills in the Wyndham area and across much of northern Australia (Dostine et al. 2001; Brazill-Boast et al. 2011b; Legge et al. 2015; Weier et al. 2016). Fires occurring in these rocky, infertile hills early in the dry season may be patchy and of low intensity at the micro-scale because of sparse and patchy grass fuels, leaving many of the eucalypt trees in this environment unscathed (Russell-Smith and Yates 2007; Oliveira et al. 2015). In contrast, late-season wildfires occurring when grass fuels are fully cured and humidity is very low may be sufficiently intense and pervasive to enter and ignite tree hollows in larger hollow-bearing trees, leading to mortality and consumption of aboveground stem biomass (Williams et al. 1999; Woolley et al. 2018). Clearly, conservation managers trying to optimise fire regimes for obligate hollow-nesting species, including the threatened Gouldian finch, need to minimise incursions of these late dry-season wildfire to retain high tree-hollow densities associated with known successful breeding habitats (Brazill-Boast et al. 2011b).

As might be expected, high tree-hollow density occurred at sites where there was high eucalypt density and canopy cover. Trees with larger canopies are also likely to be trees with a large DBH, and large DBH trees were found to have the highest hollow density in the present and other studies (Woolley et al. 2018). However, the steepness of the increasing relationship between hollow number and eucalypt tree density declined as eucalypt density increased in the study area. This could be related to density-dependent competition among trees leading to a reduced mean tree DBH at very high densities. Under this hypothesis, very dense stands of trees would preclude many trees reaching the size where they can support multiple hollows. In northern Australia (Woolley et al. 2018) and in the study area (Fig. 4), tree hollow numbers at the individual tree level were positively related to tree DBH, with larger trees having greater hollow-bearing capacity than do smaller trees.

Time since the most recent fire also unexpectedly had an influence on hollow abundance in the present study. Plots with low (1 year) and intermediate times since the most recent fire (2 years) had greater hollow densities than did the plots with longer periods post-fire (6 years). It should be noted here that only three plots in two adjacent breeding sites had 6 years since the most recent fire. However, it is not immediately clear why hollow densities would decline after longer periods without fire. Possibly eucalypts benefit from frequent low-intensity fires through flushes of nutrients in the soil and also because of stimulation of epicormic growth following fire (Burrows 2013). In contrast, absence of fire in savanna trees can lead to increases in termite abundance (Dawes-Gromadzki 2007), possibly leading to increased termite activity and increased mortality among hollow-bearing trees. Another possibility is that sites where fire occurs only infrequently may experience periodic very high intensity fires due to local plant growth and litter fuel accumulation. Such sites may experience high mortality among hollow trees equivalent to that after multiple lower-intensity fires (Williams et al. 1999). Trees with extensive hollow formation would be particularly vulnerable to such high-intensity fires (Williams et al. 1999; Woolley et al. 2018).

Previous studies have identified that, at the broader scale (∼60 km2), the strongest predictor of nesting density of Gouldian finches was abundance or density of suitable nesting hollows (Brazill-Boast et al. 2010, 2011b). Brazill-Boast et al. (2011b) reported the no single factor explained the locations of nesting sites at the finer intra-breeding site scale (∼1 km2). In the present study, we have shown that fine-grain fire-mosaic attributes affect the density of suitable nesting hollows. In particular, hollow density is related to the frequency of occurrence of late dry-season fires, and also to time since fire. Given this information, it appears that focus on reducing total fire frequency, or keeping fire out of Gouldian finch breeding habitats for long periods, may be ineffective or even counter-productive (see Fig. 2) in facilitating retention of nesting hollows for Gouldian’s at these sites. In contrast, it is clear that late dry-season fires are detrimental in Gouldian finch breeding habitat because they reduce the density of nest hollows as they become more frequent. The present study joins several recent studies calling for the modification of fire regimes for Gouldian finch conservation to an early season patchy fire mosaic rather than fire exclusion (Legge et al. 2015; Weier et al. 2016, 2017, 2018, 2019). Weier et al. (2016) showed that Gouldian finches bred more successfully at sites that had been recently burnt and Weier et al. (2017) went on to show that there were nutritional benefits of recent fires in Sorghum stipoideum seeds, which make up the dominant food resource for breeding finches from those burnt areas. In addition, it was shown that high-intensity late-season fires resulted in a reduction of S. stipoideum seed availability the year following the fire, owing to high seed mortality at the soil surface. Multiple small, patchy early dry-season fires were associated with higher breeding success of Gouldians (Weier et al. 2016), possibly owing to protection of longer unburnt Triodia spp. hummock grasses that take 2–3 years without fire to produce wet-season seeds for Gouldian finches (Dostine et al. 2001; Dostine and Franklin 2002). These data, plus the observation that late-season fire frequency also reduces the density of suitable nesting hollows for Gouldian finches, whereas total fire frequency does not, support the use of patchy early dry-season fires within Gouldian finch habitats. This will simultaneously increase suitability of Gouldian feeding resources and also protect their key breeding resource (nesting hollows and large trees with more of these) from high-intensity late dry-season wildfires.

Conclusions

After identifying Gouldian finch breeding habitat, we recommend the use of a network of annually prescribed patchy early dry-season burns. The aim of early dry-season burning networks is to achieve fire-break protection for Gouldian breeding sites to protect from external fires, but also to reduce the intensity of fire behaviour if late dry-season wildfires do penetrate breeding areas. Reduction of wildfire incursion and reduction in high-intensity fire behaviour will prevent or reduce the loss of large trees and tree hollows. A mosaic of early dry-season burning will also reduce within-site mean fire frequencies, ideally down to one fire every 3–4 years, to maintain both recently burnt (<1 year) and longer unburnt (>3 years) vegetation. This regime will maximise the food value (nutritional content) of annual sorghum grass seeds, increase perennial grass seed availability by allowing slow growing species, including Triodia spp., to mature, as well as maximising nest-hollow densities within breeding habitat. We do NOT recommend fire exclusion from Gouldian finch breeding habitat. However, as much as possible, high-intensity, extensive, late dry-season wildfires should be reduced in frequency, or excluded from, known finch breeding habitat so that nesting hollows and feeding resources can be retained.

Conflicts of interest

The authors declare no conflicts of interest.

Acknowledgements

This project was supported by the Biodiversity Fund, Commonwealth of Australia, through the Department of Sustainability, Environment, Water, Population and Communities (project no. LSP-944229-932). We thank Balanggarra Traditional Owners for access to land. Sarah Pryke, James Brazill-Boast and Save the Gouldian Foundation undertook the original work to locate Gouldian finch breeding habitat in the Wyndham area.

References

1.

Andersen, A. N. (2020). Faunal responses to fire in Australian tropical savannas: insights from field experiments and their lessons for conservation management. Diversity & Distributions https://doi.org/10.1111/ddi.13198 Google Scholar

2.

Andersen, A. N. , Cook, G. D. , Corbett, L. K. , Douglas, M. M. , Eager, R. W. , Russell-Smith, J. , Setterfield, S. A. , Williams, R. J. , and Woinarski, J. C. Z. (2005). Fire frequency and biodiversity conservation in Australian tropical savannas: implications from the Kapalga fire experiment. Austral Ecology 30, 155–167. https://doi.org/10.1111/j.1442-9993.2005.01441.x Google Scholar

3.

Andersen, A. N. , Ribbons, R. R. , Pettit, M. , and Parr, C. L. (2014). Burning for biodiversity: highly resilient ant communities respond only to strongly contrasting fire regimes in Australia’s seasonal tropics. Journal of Applied Ecology 51, 1406–1413. https://doi.org/10.1111/1365-2664.12307 Google Scholar

4.

Barton , K. , (2019). MuMIn: Multi-Model Inference. R package version 1.43.15. Available at  https://CRAN.R-project.org/package=MuMIn[verified 14 October 2020]. Google Scholar

5.

Bates, D. , Maechler, M. , Bolker, B. , and Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software 67, 1–48. https://doi.org/10.18637/jss.v067.i01 Google Scholar

6.

Begg, R. J. , Martin, K. C. , and Price, N. F. (1981). The small mammals of Little Nourlangie Rock, NT. V. The effects of fire. Wildlife Research 8, 515–527. https://doi.org/10.1071/wr9810515 Google Scholar

7.

Bowman, D. M. J. S. , Price, O. , Whitehead, P. J. , and Walsh, A. (2001). The ‘wilderness effect’ and the decline of Callitris intratropica on the Arnhem Land Plateau, northern Australia. Australian Journal of Botany 49, 665–672. https://doi.org/10.1071/bt00087 Google Scholar

8.

Brazill-Boast, J. , Pryke, S. R. , and Griffith, S. C. (2010). Nest-site utilisation and niche overlap in two sympatric, cavity-nesting finches. Emu 110, 170–177. https://doi.org/10.1071/mu09045 Google Scholar

9.

Brazill-Boast, J. , Dessmann, J. K. , Davies, G. T. O. , Pryke, S. R. , and Griffith, S. C. (2011a). Selection of breeding habitat by the endangered Gouldian Finch (Erythrura gouldiae) at two spatial scales. Emu 111, 304–311. https://doi.org/10.1071/mu10064 Google Scholar

10.

Brazill-Boast, J. , Van Rooij, E. , Pryke, S. R. , and Griffith, S. C. (2011b). Interference from long-tailed finches constrains reproduction in the endangered Gouldian finch. Journal of Animal Ecology 80, 39–48. https://doi.org/10.1111/j.1365-2656.2010.01756.x Google Scholar

11.

Brazill-Boast, J. , Pryke, S. R. , and Griffith, S. C. (2013). Provisioning habitat with custom-designed nest-boxes increases reproductive success in an endangered finch. Austral Ecology 38, 405–412. https://doi.org/10.1111/j.1442-9993.2012.02424.x Google Scholar

12.

Burbidge, A. A. , and McKenzie, N. L. (1989). Patterns in the modern decline of Western Australia's vertebrate fauna: causes and conservation implications. Biological Conservation 50, 143–198.  Google Scholar

13.

Burrows, G. E. (2013). Buds, bushfires and resprouting in the eucalypts. Australian Journal of Botany 61, 331–349. https://doi.org/10.1071/bt13072 Google Scholar

14.

Clarke, P. J. , Lawes, M. J. , Murphy, B. F. , Russell-Smith, J. , Nano, C. E. M. , Bradstock, R. , Enright, N. J. , Fontaine, J. B. , Gosper, C. R. , Radford, I. , Midgley, J. J. , and Gunton, R. (2015). A synthesis of postfire recovery traits of woody plants in Australian ecosystems. The Science of the Total Environment 534, 31–42. https://doi.org/10.1016/j.scitotenv.2015.04.002 Google Scholar

15.

Corey, B. , Andersen, A. N. , Legge, S. , Woinarski, J. C. Z. , Radford, I. J. , and Perry, J. J. (2020). Better biodiversity accounting is needed to prevent bio-perversity and maximise co-benefits from savanna burning. Conservation Letters 13, e12685 https://doi.org/10.1111/conl.12685 Google Scholar

16.

Dawes‐Gromadzki, T. Z. (2007). Short‐term effects of low intensity fire on soil macroinvertebrate assemblages in different vegetation patch types in an Australian tropical savanna. Austral Ecology 32, 663–668. https://doi.org/10.1111/j.1442-9993.2007.01752.x Google Scholar

17.

Dostine, P. L. , and Franklin, D. C. (2002). A comparison of the diet of three finch species in the Yinberrie Hills area, Northern Territory. Emu 102, 159–164. https://doi.org/10.1071/mu01034 Google Scholar

18.

Dostine, P. L. , Johnson, G. C. , Franklin, D. C. , Zhang, Y. , and Hempel, C. (2001). Seasonal use of savanna landscapes by the Gouldian finch, Erythrura gouldiae, in the Yinberrie Hills area, Northern Territory. Wildlife Research 28, 445–458. https://doi.org/10.1071/wr00049 Google Scholar

19.

Edwards, A. , Kennett, R. , Price, O. , Russell-Smith, J. , Spiers, G. , and Woinarski, J. (2003). Monitoring the impacts of fire regimes on vegetation in northern Australia: an example from Kakadu National Park. International Journal of Wildland Fire 12, 427–440.  Google Scholar

20.

Franklin, D. C. (1999). Evidence of disarray amongst granivorous bird assemblages in the savannas of northern Australia, a region of sparse human settlement. Biological Conservation 90, 53–68. https://doi.org/10.1016/s0006-3207(99)00010-5 Google Scholar

21.

Franklin, D. C. , Whitehead, P. J. , Pardon, G. , Matthews, J. , McMahon, P. , and McIntyre, D. (2005). Geographic patterns and correlates of the decline of granivorous birds in northern Australia. Wildlife Research 32, 399–408. https://doi.org/10.1071/wr05052 Google Scholar

22.

Fraser, B. F. , Lawson, V. , Morrison, S. , Christophersen, P. , McGreggor, S. , and Rawlinson, M. (2003). Fire management experiment for the declining partridge pigeon, Kakadu National Park. Ecological Management & Restoration 4, 94–102. https://doi.org/10.1046/j.1442-8903.2003.00142.x Google Scholar

23.

Griffiths, A. D. , Garnett, S. T. , and Brook, B. W. (2015). Fire frequency matters more than fire size: testing the pyrodiversity–biodiversity paradigm for at-risk small mammals in an Australian tropical savanna. Biological Conservation 186, 337–346. https://doi.org/10.1016/j.biocon.2015.03.021 Google Scholar

24.

Johnson , C. (2006). ‘Australia’s mammal extinctions: a 50,000-year history.’ (Cambridge University Press.) Google Scholar

25.

Lawes, M. J. , Murphy, B. P. , Fisher, A. , Woinarski, J. C. , Edwards, A. C. , and Russell-Smith, J. (2015). Small mammals decline with increasing fire extent in northern Australia: evidence from long-term monitoring in Kakadu National Park. International Journal of Wildland Fire 24, 712–722. https://doi.org/10.1071/wf14163 Google Scholar

26.

Leahy, L. , Legge, S. M. , Tuft, K. , McGregor, H. W. , Barmuta, L. A. , Jones, M. E. , and Johnson, C. N. (2015). Amplified predation after fire suppresses rodent populations in Australia’s tropical savannas. Wildlife Research 42, 705–716. https://doi.org/10.1071/wr15011 Google Scholar

27.

Legge, S. , Murphy, S. , Heathcote, J. , Flaxman, E. , Augusteyn, J. , and Crossman, M. (2008). The short-term effects of an extensive and high-intensity fire on vertebrates in the tropical savannas of the central Kimberley, northern Australia. Wildlife Research 35, 33–43. https://doi.org/10.1071/wr07016 Google Scholar

28.

Legge, S. , Garnett, S. , Maute, K. , Heathcote, J. , Murphy, S. , Woinarski, J. C. , and Astheimer, L. (2015). A Landscape-Scale, Applied Fire Management Experiment Promotes Recovery of a Population of the Threatened Gouldian Finch, Erythrura gouldiae, in Australia’s Tropical Savannas. PLoS One 10, e0137997 https://doi.org/10.1371/journal.pone.0137997 Google Scholar

29.

Lindsey, A. A. , Barton, J. D. , and Miles, S. R. (1958). Field efficiencies of forest sampling methods. Ecology 39, 428–444. https://doi.org/10.2307/1931752 Google Scholar

30.

McGregor, H. W. , Legge, S. , Jones, M. E. , and Johnson, C. N. (2014). Landscape management of fire and grazing regimes alters the fine-scale habitat utilisation by feral cats. PLoS One 9, 10e109097 https://doi.org/10.1371/journal.pone.0109097 Google Scholar

31.

McKenzie, N. L. , Burbidge, A. A. , Baynes, A. , Brereton, R. N. , Dickman, C. R. , Gordon, G. , Gibson, L. A. , Menkhorst, P. W. , Robinson, A. C. , Williams, M. R. , and Woinarski, J. C. Z. (2007). Analysis of factors implicated in the recent decline of Australia’s mammal fauna. Journal of Biogeography 34, 597–611. https://doi.org/10.1111/j.1365-2699.2006.01639.x Google Scholar

32.

Murphy, S. A. , Legge, S. M. , Heathcote, J. , and Mulder, E. (2010). The effects of early and late-season fires on mortality, dispersal, physiology and breeding of red-backed fairy-wrens (Malurus melanocephalus). Wildlife Research 37, 145–155. https://doi.org/10.1071/wr09007 Google Scholar

33.

Murphy, B. P. , Cochrane, M. A. , and Russell‐Smith, J. (2015). Prescribed burning protects endangered tropical heathlands of the Arnhem Plateau, northern Australia. Journal of Applied Ecology 52, 980–991. https://doi.org/10.1111/1365-2664.12455 Google Scholar

34.

Oliveira, S. L. , Campagnolo, M. L. , Price, O. F. , Edwards, A. C. , Russell-Smith, J. , and Pereira, J. M. (2015). Ecological implications of fine-scale fire patchiness and severity in tropical savannas of Northern Australia. Fire Ecology 11, 10–31. https://doi.org/10.4996/fireecology.1101010 Google Scholar

35.

Penton, C. , Woolley, L.-A. , Radford, I. J. , and Murphy, B. P. (2020). Blocked-off: termitaria cause the overestimation of tree hollow availability by ground-based surveys in northern Australia. Forest Ecology and Management https://doi.org/10.1016/j.foreco.2019.117707 Google Scholar

36.

Price, O. F. , Russell-Smith, J. , and Watt, F. (2012). The influence of prescribed fire on the extent of wildfire in savanna landscapes of western Arnhem Land, Australia. International Journal of Wildland Fire 21, 297–305. https://doi.org/10.1071/wf10079 Google Scholar

37.

R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available at  https://www.R-project.org/ [verified 14 October 2020]. Google Scholar

38.

Radford, I. J. (2012). Threatened mammals become more predatory after small‐scale prescribed fires in a high‐rainfall rocky savanna. Austral Ecology 37, 926–935. https://doi.org/10.1111/j.1442-9993.2011.02352.x Google Scholar

39.

Radford, I. J. , Grice, A. C. , Abbott, B. N. , Nicholas, D. M. , and Whiteman, L. (2008). Impacts of wet and dry season prescribed burning on invasive Cryptostegia grandiflora populations and on associated tropical woodland, and riparian forest in north Queensland, Australia. Austral Ecology 33, 151–167. https://doi.org/10.1111/j.1442-9993.2007.01803.x Google Scholar

40.

Radford, I. J. , Gibson, L. A. , Corey, B. , Carnes, K. , and Fairman, R. (2015). Influence of fire mosaics, habitat characteristics and cattle disturbance on mammals in fire-prone savanna landscapes of the northern Kimberley. PLoS One 10, 6e0130721 https://doi.org/10.1371/journal.pone.0130721 Google Scholar

41.

Radford, I. J. , Woolley, L.-A. , Corey, B. , Vigilante, T. Wunambal Gaambera Aboriginal Corporation, Hatherley, E. , Fairman, R. , Carnes, K. , and Start, A. N. (2020). Prescribed burning benefits threatened mammals in northern Australia. Biodiversity and Conservation 29, 2985–3007. https://doi.org/10.1007/s10531-020-02010-9 Google Scholar

42.

Russell-Smith, J. , and Bowman, D. M. J. S. (1992). Conservation of monsoon rainforest isolates in the Northern Territory, Australia. Biological Conservation 59, 51–63. https://doi.org/10.1016/0006-3207(92)90713-w Google Scholar

43.

Russell-Smith, J. , and Yates, C. P. (2007). Australian savanna fire regimes: context, scales, patchiness. Fire Ecology 3, 48–63. https://doi.org/10.4996/fireecology.0301048 Google Scholar

44.

Russell-Smith, J. , Ryan, P. G. , and Cheal, D. C. (2002). Fire regimes and the conservation of sandstone heath in monsoonal northern Australia: frequency, interval, patchiness. Biological Conservation 104, 91–106. https://doi.org/10.1016/s0006-3207(01)00157-4 Google Scholar

45.

Russell-Smith, J. , Yates, C. , Edwards, A. , Allan, G. E. , Cook, G. D. , Cooke, P. , Craig, R. , Heath, B. , and Smith, R. (2003a). Contemporary fire regimes of northern Australia, 1997–2001: change since Aboriginal occupancy, challenges for sustainable management. International Journal of Wildland Fire 12, 283–297. https://doi.org/10.1071/wf03015 Google Scholar

46.

Russell-Smith, J. , Whitehead, P. J. , Cook, G. D. , and Hoare, J. L. (2003b). Response of Eucalyptus‐dominated savanna to frequent fires: lessons from Munmarlary, 1973–1996. Ecological Monographs 73, 349–375. https://doi.org/10.1890/01-4021 Google Scholar

47.

Russell-Smith, J. , Edwards, A. C. , Sangha, K. K. , Yates, C. P. , and Gardener, M. R. (2020). Challenges for prescribed fire management in Australia’s fire-prone rangelands–the example of the Northern Territory. International Journal of Wildland Fire 29, 339–353. https://doi.org/10.1071/wf18127 Google Scholar

48.

Skroblin, A. , and Legge, S. (2012). Influence of fine‐scale habitat requirements and riparian degradation on the distribution of the purple‐crowned fairy‐wren (Malurus coronatus coronatus) in northern Australia. Austral Ecology 37, 874–884. https://doi.org/10.1111/j.1442-9993.2011.02331.x Google Scholar

49.

Stobo-Wilson, A. M. , Stokeld, D. , Einoder, L. D. , Davies, H. F. , Fisher, A. , Hill, B. M. , Mahney, T. , Murphy, B. P. , Scroggie, M. P. , Stevens, A. , and Woinarski, J. C. Z. (2020). Bottom-up and top-down processes influence contemporary patterns of mammal species richness in Australia’s monsoonal tropics. Biological Conservation 247, 108638 https://doi.org/10.1016/j.biocon.2020.108638 Google Scholar

50.

Tidemann, S. C. , Boyden, J. , Elvish, R. , Elvish, J. , and Ogorman, B. (1992). Comparison of the breeding sites and habitat of 2 hole-nesting estrilid finches, one endangered, in northern Australia. Journal of Tropical Ecology 8, 373–388. https://doi.org/10.1017/s0266467400006702 Google Scholar

51.

Tidemann, S. C. , Lawson, C. , Elvish, R. , Boyden, J. , and Elvish, J. (1999). Breeding biology of the Gouldian Finch Erythrura gouldiae, an endangered finch of Northern Australia. Emu 99, 191–199. https://doi.org/10.1071/mu99022 Google Scholar

52.

Trimble, T. (2011). ‘ECognition Developer 8.7 Reference Book.’ (Trimble Germany GmbH: Munich, Germany.) Google Scholar

53.

Weier, A. , Radford, I. J. , Oliveira, S. L. J. , and Lawes, M. J. (2016). Recently but infrequently burnt breeding sites favoured by Threatened Gouldian Finches. International Journal of Wildland Fire 25, 1281–1290. https://doi.org/10.1071/wf16105 Google Scholar

54.

Weier, A. , Radford, I. J. , Manson, A. , Durrans, L. J. , and Lawes, M. J. (2017). Frequent fires reduce the nutritional quality of Sorghum stipoideum seed, a keystone food resource for the Gouldian finch (Erythrura gouldiae). The Rangeland Journal 39, 105–112. https://doi.org/10.1071/rj16124 Google Scholar

55.

Weier, A. , Radford, I. J. , Woolley, L.-A. , and Lawes, M. J. (2018). Fire regime effects on annual grass seeds as food for threatened grass-finch. Fire Ecology 14, 8 https://doi.org/10.1186/s42408-018-0019-3 Google Scholar

56.

Weier, A. , Radford, I. J. , Bellairs, S. M. , and Lawes, M. J. (2019). Seed set in Sorghum stipoideum and not fire determines the timing of breeding by Gouldian finches (Erythrura gouldiae). Austral Ecology 44, 151–162. https://doi.org/10.1111/aec.12662 Google Scholar

57.

Williams, R. J. , Cook, G. D. , Gill, A. M. , and Moore, P. H. R. (1999). Fire regime, fire intensity and tree survival in a tropical savanna in northern Australia. Australian Journal of Ecology 24, 50–59. https://doi.org/10.1046/j.1442-9993.1999.00946.x Google Scholar

58.

Woinarski, J. C. , and Legge, S. (2013). The impacts of fire on birds in Australia’s tropical savannas. Emu-Austral Ornithology 113, 319–352. https://doi.org/10.1071/mu12109 Google Scholar

59.

Woinarski, J. C. Z. , Risler, J. , and Kean, L. (2004). Response of vegetation and vertebrate fauna to 23 years of fire exclusion in a tropical Eucalyptus open forest, Northern Territory, Australia. Austral Ecology 29, 156–176. https://doi.org/10.1111/j.1442-9993.2004.01333.x Google Scholar

60.

Woinarski, J. C. Z. , Legge, S. , Fitzsimons, J. A. , Traill, B. J. , Burbidge, A. A. , Fisher, A. , Firth, R. S. C. , Gordon, I. J. , Griffiths, A. D. , Johnson, C. , McKenzie, N. L. , Palmer, C. , Radford, I. , Rankmore, B. , Ritchie, E. , Ward, S. , and Ziembicki, M. (2011). The disappearing mammal fauna of northern Australia: context, cause, and response. Conservation Letters 4, 192–201. https://doi.org/10.1111/j.1755-263x.2011.00164.x Google Scholar

61.

Woolley, L.-A. , Murphy, B. P. , Radford, I. J. , Westaway, J. , and Woinarski, J. C. Z. (2018). Cyclones, fire and termites: the drivers of tree hollow abundance in northern Australia’s mesic tropical savanna. Forest Ecology and Management 419–420, 146–159. https://doi.org/10.1016/j.foreco.2018.03.034 Google Scholar

62.

Yates, C. P. , Edwards, A. C. , and Russell-Smith, J. (2008). Big fires and their ecological impacts in Australian savannas: size and frequency matters. International Journal of Wildland Fire 17, 768–781. https://doi.org/10.1071/wf07150 Google Scholar
© CSIRO 2021
I. J. Radford, S. L. J. Oliveira, B. Byrne, and L.-A. Woolley "Tree hollow densities reduced by frequent late dry-season wildfires in threatened Gouldian finch (Erythrura gouldiae) breeding habitat," Wildlife Research 48(6), 511-520, (14 April 2021). https://doi.org/10.1071/WR20108
Received: 30 June 2020; Accepted: 13 February 2021; Published: 14 April 2021
KEYWORDS
fire ecology
grass finches
obligate hollow nesting
savanna
threatened species
Back to Top