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3 August 2022 Bioturbation by echidna (Tachyglossus aculeatus) in a forest habitat, south-western Australia
Shannon J. Dundas, Lara Osborne, Anna J. M. Hopkins, Katinka X. Ruthrof, Patricia A. Fleming
Author Affiliations +
Abstract

Bioturbation by digging animals is important for key forest ecosystem processes such as soil turnover, decomposition, nutrient cycling, water infiltration, seedling recruitment, and fungal dispersal. Despite their widespread geographic range, little is known about the role of the short-beaked echidna (Tachyglossus aculeatus) in forest ecosystems. We measured the density and size of echidna diggings in the Northern Jarrah Forest, south-western Australia, to quantify the contribution echidna make to soil turnover. We recorded an overall density of 298 echidna diggings per hectare, 21% of which were estimated to be less than 1 month old. The average size of digs was 50 ± 25 mm in depth and 160 ± 61 mm in length. After taking into account seasonal digging rates, we estimated that echidnas turn over 1.23 tonnes of soil ha−1 year−1 in this forest, representing an important role in ecosystem dynamics. Our work contributes to the growing body of evidence quantifying the role of these digging animals as critical ecosystem engineers. Given that the echidna is the only Australian digging mammal not severely impacted by population decline or range reduction, its functional contribution to health and resilience of forest ecosystems is increasingly important due to the functional loss of most Australian digging mammals.

Introduction

Many mammal species dig for food or refuge (Eldridge and James 2009). These bioturbation activities are important for key ecosystem processes, including soil turnover and soil formation (Garkaklis et al. 2004; Davies et al. 2019), litter decomposition (Decker et al. 2019; Eldridge and Koen 2021), nutrient cycling (Garkaklis et al. 2003; Valentine et al. 2017), water infiltration (Garkaklis et al. 1998, 2000), seedling recruitment and vegetation growth (Valentine et al. 2018), microbial community development (Eldridge et al. 2015, 2017) and fungal dispersal (Dundas et al. 2018; Tay et al. 2018; Hopkins et al. 2021). For example, quenda (Isoodon fusciventer), woylie (Bettongia penicillata) and echidna (Tachyglossus aculeatus) diggings are less hydrophobic and have greater moisture content than undisturbed soil (Garkaklis et al. 1998; Eldridge and Mensinga 2007; Valentine et al. 2017), and quenda and echidna diggings accumulate more fine litter and a greater diversity and abundance of seeds (Eldridge and Koen 2021). Although each digging is relatively small, the density of diggings can amount to a substantial amount of soil displaced (Garkaklis et al. 2004), and animal digging can therefore be significant for broader scale landscape processes (reviewed by Fleming et al. 2014; Mallen-Cooper. 2019).

Australia once supported a large diversity of digging mammal species. However, many digging mammals are now extinct or are functionally extinct, having suffered marked range contractions (Fleming et al. 2014) due to habitat destruction and predation by introduced predators (Woinarski et al. 2015). Australia’s record of mammal species extinction over the last 200 years is greater than that of any other part of the world (McKenzie et al. 2007), and the loss of digging mammals represents a crucial loss of important ecosystem engineers. Echidnas are one of the only remaining digging animals in Australia that have not been severely impacted by population decline and range contraction over the last 200 years (Fleming et al. 2014). Echidnas are considered as ‘Least Concern’ by the IUCN (International Union for Conservation of Nature Red List of Threatened Species) (Woinarski et al. 2014) and are likely to have persisted due to their protective spines and antipredatory behaviour, as well as their generalist foraging behaviour focusing on ants and termites, for which there is minimal competition (Abensperg-Traun 1991; Fleming et al. 2014).

Echidnas are estimated to spend 12% of their time digging (Clemente et al. 2016), making a substantial contribution to soil turnover. They excavate distinctive circular shallow pits and create shallow bulldozing tracks (collectively hereafter ‘digs’) while foraging for ants and termites (Eldridge 2011). Their foraging digs capture more water than undug soil, with sorptivity and steady-state infiltration in digs being approximately twice as much as for undug soils (Eldridge and Mensinga 2007). Echidna digs also capture 2–7 times as much litter and debris and three times as many seeds compared with undug areas (Eldridge and Mensinga 2007; Mallen-Cooper et al. 2019). Foraging digs can also act as a buffer to high temperatures, with ∼2°C cooler temperatures recorded below litter at the base of echidna digs compared with the adjacent soil surface (Eldridge and Mensinga 2007). The increased moisture, nutrients and temperature create a suitable environment for microbial activity (Eldridge et al. 2017), with soil respiration being about 30% higher than non-dug soils (Eldridge and Mensinga 2007), and present a suitable site for seed germination and plant growth, with a greater biomass of native grass seedlings growing within echidna foraging digs than on the adjacent undisturbed soil surface (Travers et al. 2012).

Given their wide geographic range and the multiple ecological processes affected by echidna digging activities, these monotremes make an important contribution to ecosystem health (Paine 1995; Eldridge and James 2009). Their persistence in the face of introduced predators suggests that their contribution to ecosystem processes is likely to become progressively more important. However, little is known about the role of echidnas in many forest ecosystems. Echidnas are present across the Northern Jarrah Forest in south-western Australia, a significant forest ecosystem of >1 million hectares with enormous environmental, scientific, cultural and economic value (Bartle and Slessar 1989; Dell and Havel 1989; Nichols and Muir 1989; Pearce 1989; Stoneman et al. 1989). The aim of our study was to quantify the density of echidna diggings and estimate their contribution to soil turnover in this forest ecosystem.

Materials and methods

The Northern Jarrah Forest (Fig. 1) is located in the Southwest Australian Floristic Region (SWAFR), which is a biodiversity hotspot (Myers et al. 2000) with more than 8370 native vascular plant taxa (Gioia and Hopper 2017). The forest canopy is dominated by Eucalyptus marginata Donn ex Sm. (jarrah) and Corymbia calophylla R. Br. K.D. Hill and L.A.S. Johnson (marri). The forest overlies Archaean granite and metamorphic rocks that are capped by an extensive lateritic duricrust and interrupted by intermittent granite outcrops (Churchward and Dimmock 1989). The soils are highly leached and extremely infertile (Mulcahy 1960).

Fig. 1.

Study sites used to characterise echidna (Tachyglossus aculeatus) digging were located in the Northern Jarrah Forest, south-western Australia. Each site contained four (100 m) line transects (map adapted from Matusick et al. 2016).

ZO22019_F1.gif

The region has a Mediterranean-type climate, with a cool, wet winter and most (∼80%) rainfall falling between April and October, and a long seasonal summer drought that may last 4–7 months (Gentilli 1989; Bates et al. 2008). There is a strong west–east rainfall gradient, ranging from 1100 mm per year on the western edge (Darling Scarp) to ∼700 mm per year in the east and north of the region (Gentilli 1989). Average temperatures are 22.6–34.7°C in summer, 16.9–30.9°C in autumn, 13.5–18.6°C in winter and 15.3–27.9°C in spring (BOM 2022, Bickley station 009240).

Density of diggings

Transects were established in late-July to early-September 2014 to determine echidna digging densities. Five forest tracks that branched away from the Albany Highway between the suburbs of Bedfordale and Ashendon (Fig. 1), ∼36 km south-east of the capital city of Perth, Western Australia, were chosen to serve as individual sites. We established four 100-m-long straight transects at each site, with a minimum distance of 500 m between each transect to avoid dependent results. To avoid edge effects, transects began ∼100 m away from the road. Two observers walked on either side of the transect line and recorded the perpendicular distance between echidna diggings and the transect line out to a maximum distance of 5 m on either side of the transect line. This distance from the line could be searched easily so our chances of detecting digs was close to 100%; the total count from both observers was used to calculate density of diggings.

Rather than the anterior–posterior scratch digging common among most digging marsupials (Warburton et al. 2013; Martin et al. 2019a, 2019b), due to the musculoskeletal anatomy of their pectoral girdle, which restricts the motion of their digging action, echidnas use their forelimbs in a lateral sprawling motion, rotating the humerus while the forelimb extends to sweep the soil behind. As a consequence of their anatomy and digging action (Augee et al. 2006), echidnas therefore create distinctive relatively wide and circular digs.

We recorded the width and depth (mm) of each digging and whether diggings were ‘new’ (no leaf litter present, sharp edges, and loose soil) or ‘old’ (containing accumulated leaf litter, soft edges, and compacted soil). As diggings were counted during winter/spring and likely to degrade quickly due to most annual rainfall at this time, we estimate new diggings were less than one month old, supported by timed observations of diggings in the jarrah forest on similar soil types (unpubl. data), and old diggings were estimated to be older than a month, but potentially up to three years old. No estimates of the rate of degradation of echidna diggings in temperate woodlands have been carried out previously, but these observations tally with published data for other landscapes. For example, Eldridge and Kwok (2008) observed that echidna diggings in loamy clays of semiarid woodlands disintegrate rapidly (69% of digs under the canopy and 84% of digs in the open deform and degrade over six months), although echidna digs can still be recognised at three years of age. Furthermore, surveys on the New England Tablelands found recognisable echidna digs persisted for ∼6 weeks (Smith et al. 1989).

Estimating soil displacement

The width and depth (mm) of 544 diggings recorded along the 20 transects were measured to estimate soil volume displaced. Dig types measured included deeper excavations created during foraging (minimum depth of 50 mm: Fig. 2a) and shallower nose pokes (narrow digs with clear evidence of a nose hole and commonly <30 mm depth: Fig. 2b). We removed three outlying dig measurements which appeared to be transcription or measurement errors.

Fig. 2.

(a) Deeper dig created by foraging echidna (Tachyglossus aculeatus), and (b) a shallower nose poke created by an echidna. Photos was taken at one of the study sites in the Northern Jarrah Forest, south-western Australia (photo credit: S. Dundas).

ZO22019_F2.gif

To determine the most representative volume measurement, we collected accurate dig volume measurements for 99 new diggings (one outlier measurement was excluded as it was likely to be a transcription error). The measured diggings were randomly selected across the five sites and represented a range of sizes. The volume of each dig was determined by lining the digging with a piece of cling film plastic wrap and then filling to the surrounding soil level with fine, weed-free river sand using a volumetric cylinder (after James and Eldridge 2007) (Fig. 3). These values were compared with volume measurements derived from linear measurements of the same diggings using a Pearson’s correlation to determine the most representative volume formula for estimating total dig volume (from strongest to weakest relationship – standard cone: r97 = 0.880; hemisphere: r97 = 0.875; elliptical cone: r97 = 0.873; averaged standard cone and hemisphere: r97 = 0.872; all P < 0.001). We therefore estimated total soil volume (V; mm3) displaced by echidnas using volume estimates for a standard cone from all measurements. To measure bulk density of soil, standardised soil core samples were collected at each of the five sites (three samples per transect; 12 per site). Samples were weighed after being dried at 52°C for ∼40 h. Bulk density was then averaged for each site (Table 1) and these values were used to convert from dig volume to the mass of soil displaced.

Fig. 3.

The method for determining the volume of soil displaced by each echidna (Tachyglossus aculeatus) dig using a known volume of clean, washed river sand to fill the dig and determine the actual volume of soil displaced. Photo was taken at one of the study sites in the Northern Jarrah Forest, south-western Australia (photo credit: S. Dundas).

ZO22019_F3.gif

Table 1.

Density (digs per ha−1) of echidna (Tachyglossus aculeatus) diggings across the five sites (four 100 m transects per site) in the Northern Jarrah Forest, south-western Australia.

ZO22019_T1.gif

The estimation of soil displaced annually by echidnas (tonnes soil; t) was calculated using the new digs only (i.e. diggings created within a 1-month period) averaged across all 20 transects. To account for seasonal changes in echidna foraging activity (Clemente et al. 2016), we used published estimates of activity to scale digging activity and derive an annual estimate of soil moved by echidnas. Based on the data presented in Smith et al. (1989, fig. 2), we estimated a ratio of soil diggings per season (averaged across months) in relation to winter diggings, as our samples were collected primarily in July/August, which is when echidnas are least active due to low temperatures and reduced food availability (Smith et al. 1989; Clemente et al. 2016). Seasonal digging rates were estimated to be 2.91 times higher in summer (December–February), 1.07 times higher in autumn (March–May) and 4.40 times higher in spring (September–October).

All five sites were composed of two soil types: Kandosols and Tenosols. To determine whether the texture of the surface soil [<10% or 10–20% clay content based on mapped soil types: Australian Soil Resource Information System (ASRIS) (CSIRO 2018)] influenced the number of diggings along the surveyed transects, we performed a two sample t-test assuming unequal variances. To determine if the bulk density of soil for each transect (mean bulk density of three samples taken at each transect) influenced the number of diggings on the transect, we used a generalised additive model with site included as a random factor, using the package mgcv (Wood 2011) in R (R Core Team 2022).

Values are presented as means ± 1 s.d. throughout.

Results

Density of echidna digs

The average density of old and new diggings across all sites was 272 ± 100 diggings ha−1 (Table 1, Fig. 4). A total of 21% of digs measured were classified as new (estimated to be less than one month old); most digs (79%) were therefore classified as old (estimated to be older than two months but less than three years old). The topsoil texture (% clay content) did not influence the number of echidna diggings along transects (t16 = 0.64, P = 0.53) nor did bulk soil density (F = 1.17, effective degrees of freedom (edf) = 2.50, P = 0.36).

Fig. 4.

Total of old and new echidna diggings observed in the Northern Jarrah Forest.

ZO22019_F4.gif

Estimating soil displacement by echidnas

The average size of echidna digs measured was 50 ± 25 mm in depth and 160 ± 61 mm in length. The total soil volume displaced by echidnas (new digs only) in the Northern Jarrah Forest, measured in winter, was therefore estimated to be 0.0437 tonnes soil ha−1 month−1. Taking into account seasonal digging rates and extrapolating from the density of new diggings created in a single month, the estimated volume of soil moved by echidnas each year was 1.23 tonnes soil ha−1 year−1.

Discussion

This study quantifies the substantial contribution to soil turnover made by echidnas in the Northern Jarrah Forest in south-western Australia, turning over an estimated 1.23 tonnes ha−1 year−1. This is reasonably comparable to the estimates of 1.05 tonnes ha−1 year−1 for dry sclerophyll forest in Tasmania (Davies et al. 2019) (Table 2). By contrast, echidnas turned over only ∼0.09 tonnes ha−1 year−1 at a rural grazing property with dry sclerophyll forest in NSW (Field and Anderson 2003). The differences in reported density of echidna foraging digs is likely to relate to the number of echidnas within these study areas, which will vary according to relative availability of food and shelter resources within each habitat type (Smith et al. 1989; Abensperg-Traun and De Boer 1992; Eldridge and Kwok 2008). However, we note that the estimate for a fenced sanctuary (where animals are not able to enter or leave) in Canberra, ACT, is approximately the same range (Munro et al. 2019).

Table 2.

Comparison of soil displacement for echidna (Tachyglossus aculeatus) and other digging animals (woylie, Bettongia penicillata; eastern bettong, B. gaimardi; quenda, Isoodon fusciventer) across different habitats in Australia.

ZO22019_T2.gif

The substantial variation in soil displacement by digging mammals across different Australian landscapes (Table 2), could also reflect soil type. The soil texture observed at the study sites (sandy with less than 10% clay or sandy loam with 10–20% clay content) did not influence the density of echidna digs observed at our study sites. However, soils with high clay content become very hard when dry and may be harder for echidnas to dig into, especially after periods of drought.

We measured echidna digs as 50 ± 25 mm in depth, similar to 50–150 mm depth in a study by Eldridge et al. (2012). This contrasts with the digs of scratch-digging marsupials that are two- to six-times deeper (e.g. woylies: 100–150 mm in depth: Garkaklis et al. 2003; or quenda: average depth 69.6 ± 3.2 mm: Valentine et al. 2012). Consequently, echidnas displace substantially less soil than quenda and woylies (Table 2). Diet is the likely explanation for these observed differences between species, with ants and termite runs and nests sought out by echidnas located near the soil surface, compared with the subterranean fungi, tubers and invertebrates foraged on by quenda and woylies (Van Dyck and Strahan 2008; Zosky 2011) being located further down the soil profile.

In the Northern Jarrah Forest, there is generally a period of extended drought during the summer months (∼November–March) with soil water stores being replenished during winter when the region receives most of its annual rainfall (Gentilli 1989). During the annual summer drought, soils with less clay would become particularly water repellent (Harper et al. 2000), which is also a possible issue in the sandier soils of the Northern Jarrah Forest. The displacement and mixing of soil caused by foraging echidnas can improve water infiltration and is therefore a key ecological role for maintaining soil, as well as forest, health, especially as climatic conditions become drier and hotter into the future (Diffenbaugh and Field 2013; Cowan et al. 2014; Andrys et al. 2015).

Limitations of study

We were able to survey only during the winter months when digging rates are likely to be least as temperatures are low and invertebrate activity and therefore food for echidnas tends to be more scarce (Smith et al. 1989). Repeated surveys across all seasons would improve our estimates and would be worthwhile given very few studies have assessed annual echidna digging rates. We were able to estimate the age of diggings but a study that involved marking fresh digs would allow for an accurate rate of decay for diggings in this forest.

Conclusions

Bioturbation by digging animals is important for ecosystem processes, affecting soil turnover, decomposition, nutrient cycling, water infiltration, seedling recruitment, and seedling growth. Soil turnover values for echidnas in our study were comparable to those recorded for other digging mammals (Table 2); however, their persistence in natural ecosystems when many other digging mammals have been lost means that the contribution by echidnas to soil turnover and ecosystem processes is likely to be disproportionate to their relative activity. The contribution by echidnas to forest ecosystems could progressively become increasingly important, especially with a drying climate and with the functional extinction of other digging mammal species.

Data availability

Data are available on request from the authors.

Conflicts of interest

The authors declare no conflicts of interest.

Declaration of funding

The research was funded by the Centre of Excellence for Climate Change Woodland and Forest Health, which is a partnership between private industry, community groups, universities, and the Government of Western Australia. Additional funding for this project was also provided by Murdoch University.

Acknowledgements.

The authors thank S. Allsop and H. Crawford for help in the field.

References

1.

Abensperg-Traun M (1991) Survival strategies of the echidna Tachyglossus aculeatus Shaw 1792 (Monotremata: Tachyglossidae). Biological Conservation 58, 317–328. https://doi.org/10.1016/0006-3207(91)90098-t Google Scholar

2.

Abensperg-Traun M, Boer ESD (1992) The foraging ecology of a termite- and ant-eating specialist, the echidna Tachyglossus aculeatus (Monotremata: Tachyglossidae). Journal of Zoology 226, 243–257. https://doi.org/10.1111/j.1469-7998.1992.tb03837.x Google Scholar

3.

Andrys J, Lyons TJ, Kala J (2015) Multidecadal evaluation of WRF downscaling capabilities over Western Australia in simulating rainfall and temperature extremes. Journal of Applied Meteorology and Climatology 54, 370–394. https://doi.org/10.1175/jamc-d-14-0212.1 Google Scholar

4.

Augee M, Gooden B, Musser A (2006) ‘Echidna: extraordinary egg laying mammal.’ (CSIRO Publishing: Victoria) Google Scholar

5.

Bartle J, Slessar GC (1989) Mining and rehabilitation. In‘The jarrah forest: a complex mediterranean ecosystem’. (Ed. B Dell, JJ Havel, N Malajczuk) pp. 357–377. (Springer: Dordrecht, The Netherlands) https://doi.org/10.1007/978-94-009-3111-4_19 Google Scholar

6.

Bates BC, Hope P, Ryan B, Smith I, Charles S (2008) Key findings from the Indian Ocean climate initiative and their impact on policy development in Australia. Climatic Change 89, 339–354. https://doi.org/10.1007/s10584-007-9390-9 Google Scholar

7.

BOM (2022) Bureau of meteorology. Available at  http://www.bom.gov.au/climate/data/stations/ Google Scholar

8.

Churchward HM, Dimmock GM (1989) The soils and landforms of the Northern Jarrah Forest. In‘The Jarrah Forest: a complex mediterranean ecosystem’. (Ed. B Dell, JJ Havel, N Malajczuk) pp. 13–21. (Springer: Dordrecht, The Netherlands). https://doi.org/10.1007/978-94-009-3111-4_2 Google Scholar

9.

Clemente CJ, Cooper CE, Withers PC, Freakley C, Singh S, Terrill P (2016) The private life of echidnas: using accelerometry and GPS to examine field biomechanics and assess the ecological impact of a widespread, semi-fossorial monotreme. The Journal of Experimental Biology 219, 3271–3283. https://doi.org/10.1242/jeb.143867 Google Scholar

10.

Cowan T, Purich A, Perkins S, Pezza A, Boschat G, Sadler K (2014) More frequent, longer, and hotter heat waves for Australia in the twenty-first century. Journal of Climate 27, 5851–5871. https://doi.org/10.1175/jcli-d-14-00092.1 Google Scholar

11.

CSIRO (2018) ‘Australian soil resource information system (ASRIS).’ (Australian Collaborative Land Evaluation Program, CSIRO Land and Water: Canberra, ACT) Google Scholar

12.

Davies GTO, Kirkpatrick JB, Cameron EZ, Carver S, Johnson CN (2019) Ecosystem engineering by digging mammals: effects on soil fertility and condition in Tasmanian temperate woodland. Royal Society Open Science 6, 180621. https://doi.org/10.1098/rsos.180621 Google Scholar

13.

Decker O, Leonard S, Gibb H (2019) Rainfall-dependent impacts of threatened ecosystem engineers on organic matter cycling. Functional Ecology 33, 2254–2266. https://doi.org/10.1111/1365-2435.13437 Google Scholar

14.

Dell B, Havel JJ (1989) The Jarrah Forest, an introduction. In‘The Jarrah Forest: a complex mediterranean ecosystem’. (Ed. B Dell, JJ Havel, N Malajczuk) pp. 1–10. (Springer: Dordrecht, The Netherlands). https://doi.org/10.1007/978-94-009-3111-4_1 Google Scholar

15.

Diffenbaugh NS, Field CB (2013) Changes in ecologically critical terrestrial climate conditions. Science 341, 486–492. https://doi.org/10.1126/science.1237123 Google Scholar

16.

Dundas SJ, Hopkins AJM, Ruthrof KX, Tay NE, Burgess TI, Hardy GESJ, Fleming PA (2018) Digging mammals contribute to rhizosphere fungal community composition and seedling growth. Biodiversity and Conservation 27, 3071–3086. https://doi.org/10.1007/s10531-018-1575-1 Google Scholar

17.

Eldridge DJ (2011) The resource coupling role of animal foraging pits in semi-arid woodlands. Ecohydrology 4(5), 623–630. https://doi.org/10.1002/eco.145 Google Scholar

18.

Eldridge DJ, James AI (2009) Soil-disturbance by native animals plays a critical role in maintaining healthy Australian landscapes. Ecological Management & Restoration 10, S27–S34. https://doi.org/10.1111/j.1442-8903.2009.00452.x Google Scholar

19.

Eldridge DJ, Koen TB (2021) Temporal changes in soil function in a wooded dryland following simulated disturbance by a vertebrate engineer. CATENA 200, 105166. https://doi.org/10.1016/j.catena.2021.105166 Google Scholar

20.

Eldridge DJ, Kwok ABC (2008) Soil disturbance by animals at varying spatial scales in a semi-arid Australian woodland. The Rangeland Journal 30, 327–337. https://doi.org/10.1071/rj08008 Google Scholar

21.

Eldridge DJ, Mensinga A (2007) Foraging pits of the short-beaked echidna (Tachyglossus aculeatus) as small-scale patches in a semiarid Australian box woodland. Soil Biology and Biochemistry 39, 1055–1065. https://doi.org/10.1016/j.soilbio.2006.11.016 Google Scholar

22.

Eldridge DJ, Koen TB, Killgore A, Huang N, Whitford WG (2012) Animal foraging as a mechanism for sediment movement and soil nutrient development: evidence from the semi-arid Australian woodlands and the Chihuahuan desert. Geomorphology 157–158, 131–141. https://doi.org/10.1016/j.geomorph.2011.04.041 Google Scholar

23.

Eldridge DJ, Woodhouse JN, Curlevski NJA, Hayward M, Brown MV, Neilan BA (2015) Soil-foraging animals alter the composition and co-occurrence of microbial communities in a desert shrubland. The ISME Journal 9, 2671–2681. https://doi.org/10.1038/ismej.2015.70 Google Scholar

24.

Eldridge DJ, Delgado-Baquerizo M, Woodhouse JN, Neilan BA (2017) Contrasting effects of two mammalian soil engineers on microbial communities. Austral Ecology 42, 380–384. https://doi.org/10.1111/aec.12467 Google Scholar

25.

Field JB, Anderson GR (2003) Biological agents in regolith processes: case study on the southern tablelands, NSW. In‘Advances in Regolith – Proceedings of the Cooperative Research Centre for Landscape Environments and Mineral Exploration (CRC LEME) Regional Regolith Symposia’. (Ed. I Roach) pp. 119–121. (CRC LEME) Google Scholar

26.

Fleming PA, Anderson H, Prendergast AS, Bretz MR, Valentine LE, Hardy GESJ (2014) Is the loss of Australian digging mammals contributing to a deterioration in ecosystem function? Mammal Review 44, 94–108. https://doi.org/10.1111/mam.12014 Google Scholar

27.

Garkaklis MJ, Bradley JS, Wooller RD (1998) The effects of woylie (Bettongia penicillata) foraging on soil water repellency and water infiltration in heavy textured soils in southwestern Australia. Australian Journal of Ecology 23, 492–496. https://doi.org/10.1111/j.1442-9993.1998.tb00757.x Google Scholar

28.

Garkaklis MJ, Bradley JS, Wooller RD (2000) Digging by vertebrates as an activity promoting the development of water-repellent patches in subsurface soil. Journal of Arid Environments 45, 35–42. https://doi.org/10.1006/jare.1999.0603 Google Scholar

29.

Garkaklis MJ, Bradley JS, Wooller RD (2003) The relationship between animal foraging and nutrient patchiness in south-west Australian woodland soils. Soil Research 41, 665–673. https://doi.org/10.1071/sr02109 Google Scholar

30.

Garkaklis MJ, Bradley JS, Wooller RD (2004) Digging and soil turnover by a mycophagous marsupial. Journal of Arid Environments 56, 569–578. https://doi.org/10.1016/s0140-1963(03)00061-2 Google Scholar

31.

Gentilli J (1989) Climate of the jarrah forest. In‘The Jarrah Forest: a complex mediterranean ecosystem’. (Eds B Dell, JJ Havel, N Malajczuk) pp. 23–40. (Springer: Dordrecht, The Netherlands) Google Scholar

32.

Gioia P, Hopper SD (2017) A new phytogeographic map for the Southwest Australian Floristic Region after an exceptional decade of collection and discovery. Botanical Journal of the Linnean Society 184, 1–15. https://doi.org/10.1093/botlinnean/box010 Google Scholar

33.

Harper RJ, McKissock I, Gilkes RJ, Carter DJ, Blackwell PS (2000) A multivariate framework for interpreting the effects of soil properties, soil management and landuse on water repellency. Journal of Hydrology 231–232, 371–383. https://doi.org/10.1016/s0022-1694(00)00209-2 Google Scholar

34.

Hopkins AJM, Tay NE, Bryant GL, Ruthrof KX, Valentine LE, Kobryn H, Burgess TI, Richardson BB, Hardy GESJ, Fleming PA (2021) Urban remnant size alters fungal functional groups dispersed by a digging mammal. Biodiversity and Conservation 30, 3983–4003. https://doi.org/10.1007/s10531-021-02287-4 Google Scholar

35.

James AI, Eldridge DJ (2007) Reintroduction of fossorial native mammals and potential impacts on ecosystem processes in an Australian desert landscape. Biological Conservation 138, 351–359. https://doi.org/10.1016/j.biocon.2007.04.029 Google Scholar

37.

Mallen-Cooper M, Nakagawa S, Eldridge DJ (2019) Global meta-analysis of soil-disturbing vertebrates reveals strong effects on ecosystem patterns and processes. Global Ecology and Biogeography 28, 661–679. https://doi.org/10.1111/geb.12877 Google Scholar

38.

Martin ML, Travouillon KJ, Sherratt E, Fleming PA, Warburton NM (2019a) Covariation between forelimb muscle anatomy and bone shape in an Australian scratch-digging marsupial: comparison of morphometric methods. Journal of Morphology 280, 1900–1915. https://doi.org/10.1002/jmor.21074 Google Scholar

39.

Martin ML, Warburton NM, Travouillon KJ, Fleming PA (2019b) Mechanical similarity across ontogeny of digging muscles in an Australian marsupial (Isoodon fusciventer). Journal of Morphology 280, 423–435. https://doi.org/10.1002/jmor.20954 Google Scholar

40.

Matusick G, Ruthrof KX, Fontaine JB, Hardy GESJ (2016) Eucalyptus forest shows low structural resistance and resilience to climate change-type drought. Journal of Vegetation Science 27, 493–503. https://doi.org/10.1111/jvs.12378 Google Scholar

41.

McKenzie NL, Burbidge AA, Baynes A, Brereton RN, Dickman CR, Gordon G, Gibson LA, Menkhorst PW, Robinson AC, Williams MR, Woinarski JCZ (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

42.

Mulcahy MJ (1960) Laterites and lateritic soils in south-western Australia. Journal of Soil Science 11, 206–225. https://doi.org/10.1111/j.1365-2389.1960. tb01080.x Google Scholar

43.

Munro NT, McIntyre S, Macdonald B, Cunningham SA, Gordon IJ, Cunningham RB, Manning AD (2019) Returning a lost process by reintroducing a locally extinct digging marsupial. PeerJ 7: e6622. https://doi.org/10.7717/peerj.6622 Google Scholar

44.

Myers N, Mittermeier RA, Mittermeier CG, da Fonseca GAB, Kent J (2000) Biodiversity hotspots for conservation priorities. Nature 403, 853–858. https://doi.org/10.1038/35002501 Google Scholar

45.

Nichols OG, Muir B (1989) Vertebrates of the Jarrah Forest. In‘The Jarrah Forest: a complex mediterranean ecosystem’. (Eds B Dell, JJ Havel, N Malajczuk) pp. 133–153. (Springer: Dordrecht, The Netherlands). https://doi.org/10.1007/978-94-009-3111-4_10 Google Scholar

46.

Paine RT (1995) A conversation on refining the concept of keystone species. Conservation Biology 9, 962–964. https://doi.org/10.1046/j.1523-1739.1995.09040962.x Google Scholar

47.

Pearce RH (1989) Pre-colonial usage of Jarrah Forest by Indigenous people. In‘The Jarrah Forest: a complex mediterranean ecosystem’. (Eds B Dell, JJ Havel, N Malajczuk) pp. 219–228. (Springer: Dordrecht, The Netherlands) https://doi.org/10.1007/978-94-009-3111-4_14 Google Scholar

48.

R Core Team (2022) ‘R: A language and environment for statistical computing.’ (R Foundation for Statistical Computing: Vienna, Austria) Google Scholar

49.

Smith AP, Wellham GS, Green SW (1989) Seasonal foraging activity and microhabitat selection by echidnas (Tachyglossus aculeatus) on the New England tablelands. Australian Journal of Ecology 14, 457–466. https://doi.org/10.1111/j.1442-9993.1989.tb01455.x Google Scholar

50.

Stoneman GL, Bradshaw FJ, Christensen P (1989) Silviculture. In‘The Jarrah Forest: a complex mediterranean ecosystem’. (Ed. B Dell, JJ Havel, N Malajczuk) pp. 335–355. (Springer: Dordrecht, The Netherlands) Google Scholar

51.

Tay NE, Hopkins AJM, Ruthrof KX, Burgess T, Hardy GESJ, Fleming PA (2018) The tripartite relationship between a bioturbator, mycorrhizal fungi, and a key Mediterranean forest tree. Austral Ecology 43(7), 742–751. https://doi.org/10.1111/aec.12598 Google Scholar

52.

Travers SK, Eldridge DJ, Koen TB, Soliveres S (2012) Animal foraging pit soil enhances the performance of a native grass under stressful conditions. Plant and Soil 352, 341–351. https://doi.org/10.1007/s11104-011-1000-y Google Scholar

53.

Valentine LE, Anderson H, Hardy GESJ, Fleming PA (2012) Foraging activity by the southern brown bandicoot (Isoodon obesulus) as a mechanism for soil turnover. Australian Journal of Zoology 60, 419–423. https://doi.org/10.1071/zo13030 Google Scholar

54.

Valentine LE, Bretz M, Ruthrof KX, Fisher R, Hardy GESJ, Fleming PA (2017) Scratching beneath the surface: bandicoot bioturbation contributes to ecosystem processes. Austral Ecology 42, 265–276. https://doi.org/10.1111/aec.12428 Google Scholar

55.

Valentine LE, Ruthrof KX, Fisher R, Hardy GESJ, Hobbs RJ, Fleming PA (2018) Bioturbation by bandicoots facilitates seedling growth by altering soil properties. Functional Ecology 32, 2138–2148. https://doi.org/10.1111/1365-2435.13179 Google Scholar

56.

Van Dyck S, Strahan R (Eds) (2008) ‘The mammals of australia.’ (Reed New Holland: Sydney, Australia) Google Scholar

57.

Warburton NM, Grégoire L, Jacques S, Flandrin C (2013) Adaptations for digging in the forelimb muscle anatomy of the southern brown bandicoot (Isoodon obesulus) and bilby (Macrotis lagotis). Australian Journal of Zoology 61, 402–419. https://doi.org/10.1071/zo13086 Google Scholar

58.

Woinarski J, Burbidge A, Harrison P (2014) ‘The action plan for Australian mammals 2012.’ (CSIRO Publishing) Google Scholar

59.

Woinarski JCZ, Burbidge AA, Harrison PL (2015) Ongoing unraveling of a continental fauna: decline and extinction of Australian mammals since European settlement. Proceedings of the National Academy of Sciences of the United States of America 112, 4531–4540. https://doi.org/10.1073/pnas.1417301112 Google Scholar

60.

Wood SN (2011) Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models. Journal of the Royal Statistical Society: Series B 73, 3–36. https://doi.org/10.1111/j.1467-9868.2010.00749.x Google Scholar

61.

Zosky KL (2011) Food resources and the decline of woylies Bettongia penicillata ogilbyi in southwestern Australia. PhD thesis, Murdoch University, Perth, WA, Australia. Google Scholar
© 2021 The Author(s) (or their employer(s)). Published by CSIRO Publishing.
Shannon J. Dundas, Lara Osborne, Anna J. M. Hopkins, Katinka X. Ruthrof, and Patricia A. Fleming "Bioturbation by echidna (Tachyglossus aculeatus) in a forest habitat, south-western Australia," Australian Journal of Zoology 69(5), 197-204, (3 August 2022). https://doi.org/10.1071/ZO22019
Received: 8 February 2022; Accepted: 30 June 2022; Published: 3 August 2022
KEYWORDS
animal digging
biopedturbation
echidna
ecosystem engineering
ecosystem processes
jarrah forest
soil turnover
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