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Old JM, Vallin BL, Thorley RK, Casey F, Stannard HJ. DNA metabarcoding analysis of the bare-nosed wombat ( Vombatus ursinus) diet. Ecol Evol 2024; 14:e11432. [PMID: 38770127 PMCID: PMC11103767 DOI: 10.1002/ece3.11432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 04/29/2024] [Accepted: 05/02/2024] [Indexed: 05/22/2024] Open
Abstract
Wombats are native herbivorous grazers that have adapted to Australia's low-quality forage. Studies on diet selection by bare-nosed wombats (Vombatus ursinus) are limited and are either observational or based on microhistological studies. The current study determined the diet of wombats through DNA metabarcoding across five study sites in New South Wales over a one-year period. Metabarcoding was chosen as it is non-invasive, less time consuming and more specific than traditional techniques. The list of 209 plant species identified as eaten by wombats in this study is much higher than previously reported, with grasses being the most common plant group identified in all samples. Most dietary items identified were introduced plant species. Seasonal differences in plants eaten occurred at four of the five study sites and may reflect dietary abundance and floristic composition at different times of year. Further studies are required to determine if the dietary items differ markedly across the entire range of wombats, and if nutrition influences dietary preferences.
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Affiliation(s)
- Julie M. Old
- School of Science, HawkesburyWestern Sydney UniversityPenrithNew South WalesAustralia
| | - Blaire L. Vallin
- School of Science, HawkesburyWestern Sydney UniversityPenrithNew South WalesAustralia
| | - Rowan K. Thorley
- School of Science, HawkesburyWestern Sydney UniversityPenrithNew South WalesAustralia
| | - Fiona Casey
- School of Science, HawkesburyWestern Sydney UniversityPenrithNew South WalesAustralia
| | - Hayley J. Stannard
- School of Agricultural, Environmental and Veterinary SciencesWagga Wagga, Charles Sturt UniversityWagga WaggaNew South WalesAustralia
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Mayadunnage S, Stannard HJ, West P, Old JM. Spatial and temporal patterns of sarcoptic mange in wombats using the citizen science tool, WomSAT. Integr Zool 2024; 19:387-399. [PMID: 37865949 DOI: 10.1111/1749-4877.12776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2023]
Abstract
There is currently limited information regarding the levels of infection and distribution of sarcoptic mange in the wombat population throughout Australia. We analyzed cases of sarcoptic mange in bare-nosed wombats reported into WomSAT, a website and mobile phone application where citizen scientists can upload sightings of wombats, burrows, and sarcoptic mange status. We used Maxent software to predict locations and the environmental factors associated with sarcoptic mange occurrence in bare-nosed wombats. A total of 1379 sarcoptic mange-infected and 3043 non-sarcoptic mange-infected wombats were reported by 674 and 841 citizen scientists, respectively. Of all the wombats reported to WomSAT from 2015 to 2019, 31.2% were infected with sarcoptic mange. Sarcoptic mange in bare-nosed wombats was reported in 502 suburbs across four states. New South Wales had the highest number of sarcoptic mange cases reported to WomSAT. There was no statistically significant seasonal variation of sarcoptic mange levels in bare-nosed wombats. The model showed that Euclidean distance to urban areas was the highest contributing factor for sarcoptic mange occurrence. As distance to urban areas decreased, the suitability for sarcoptic mange increased. Annual precipitation was the next contributing factor in the model, with higher rainfall of 400-700 mm correlating to an increase in sarcoptic mange occurrence. As the data collected to date have provided the largest-scale contemporary distribution of sarcoptic mange in wombats, data should continue to be collected by citizen scientists as it is an easy and low-cost method of collecting data over large areas. We suggest targeting the identified hotspot areas and more site-specific studies for studying and mitigating sarcoptic mange in bare-nosed wombats.
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Affiliation(s)
| | - Hayley Jade Stannard
- School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Wagga Wagga, NSW, Australia
| | - Peter West
- Department of Primary Industries, Orange Agricultural Institute, Orange, NSW, Australia
| | - Julie M Old
- School of Science, Western Sydney University, Hawkesbury, NSW, Australia
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Ringwaldt EM, Brook BW, Buettel JC, Cunningham CX, Fuller C, Gardiner R, Hamer R, Jones M, Martin AM, Carver S. Host, environment, and anthropogenic factors drive landscape dynamics of an environmentally transmitted pathogen: Sarcoptic mange in the bare-nosed wombat. J Anim Ecol 2023; 92:1786-1801. [PMID: 37221666 DOI: 10.1111/1365-2656.13960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 05/09/2023] [Indexed: 05/25/2023]
Abstract
Understanding the spatial dynamics and drivers of wildlife pathogens is constrained by sampling logistics, with implications for advancing the field of landscape epidemiology and targeted allocation of management resources. However, visually apparent wildlife diseases, when combined with remote-surveillance and distribution modelling technologies, present an opportunity to overcome this landscape-scale problem. Here, we investigated dynamics and drivers of landscape-scale wildlife disease, using clinical signs of sarcoptic mange (caused by Sarcoptes scabiei) in its bare-nosed wombat (BNW; Vombatus ursinus) host. We used 53,089 camera-trap observations from over 3261 locations across the 68,401 km2 area of Tasmania, Australia, combined with landscape data and ensemble species distribution modelling (SDM). We investigated: (1) landscape variables predicted to drive habitat suitability of the host; (2) host and landscape variables associated with clinical signs of disease in the host; and (3) predicted locations and environmental conditions at greatest risk of disease occurrence, including some Bass Strait islands where BNW translocations are proposed. We showed that the Tasmanian landscape, and ecosystems therein, are nearly ubiquitously suited to BNWs. Only high mean annual precipitation reduced habitat suitability for the host. In contrast, clinical signs of sarcoptic mange disease in BNWs were widespread, but heterogeneously distributed across the landscape. Mange (which is environmentally transmitted in BNWs) was most likely to be observed in areas of increased host habitat suitability, lower annual precipitation, near sources of freshwater and where topographic roughness was minimal (e.g. human modified landscapes, such as farmland and intensive land-use areas, shrub and grass lands). Thus, a confluence of host, environmental and anthropogenic variables appear to influence the risk of environmental transmission of S. scabiei. We identified that the Bass Strait Islands are highly suitable for BNWs and predicted a mix of high and low suitability for the pathogen. This study is the largest spatial assessment of sarcoptic mange in any host species, and advances understanding of the landscape epidemiology of environmentally transmitted S. scabiei. This research illustrates how host-pathogen co-suitability can be useful for allocating management resources in the landscape.
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Affiliation(s)
- E M Ringwaldt
- School of Natural Sciences, Biological Science, University of Tasmania, Hobart, Tasmania, Australia
| | - B W Brook
- School of Natural Sciences, Biological Science, University of Tasmania, Hobart, Tasmania, Australia
| | - J C Buettel
- School of Natural Sciences, Biological Science, University of Tasmania, Hobart, Tasmania, Australia
| | - C X Cunningham
- School of Natural Sciences, Biological Science, University of Tasmania, Hobart, Tasmania, Australia
- School of Environmental and Forest Sciences, University of Washington, Seattle, Washington, USA
| | - C Fuller
- School of Natural Sciences, Biological Science, University of Tasmania, Hobart, Tasmania, Australia
| | - R Gardiner
- School of Science, Engineering and Technology, University of Sunshine Coast, Sippy Downs, Queensland, Australia
| | - R Hamer
- School of Natural Sciences, Biological Science, University of Tasmania, Hobart, Tasmania, Australia
| | - M Jones
- School of Natural Sciences, Biological Science, University of Tasmania, Hobart, Tasmania, Australia
| | - A M Martin
- Caesar Kleberg Wildlife Research Institute, Texas A&M University-Kingsville, Kingsville, Texas, USA
| | - S Carver
- School of Natural Sciences, Biological Science, University of Tasmania, Hobart, Tasmania, Australia
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Mayadunnage S, Stannard HJ, West P, Old JM. Identification of roadkill hotspots and the factors affecting wombat vehicle collisions using the citizen science tool, WomSAT. AUSTRALIAN MAMMALOGY 2022. [DOI: 10.1071/am22001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Roads directly impact wildlife through vehicle collisions. In Australia only a few studies have examined the impact of environmental characteristics on wombat roadkill. We analysed wombat roadkills reported into WomSAT, a website and application where citizen scientists can upload sightings of wombats, to map wombat roadkill across their distribution. We used Maxent software to identify the main factors influencing wombat roadkill hotspots. A total of 2391 wombat deaths on roads were reported by 567 citizen scientists from 2015 to 2019. More wombat roadkill deaths occurred in winter, with most unaffected by sarcoptic mange. The average daily solar exposure, distance to populated areas, precipitation of warmest quarter (bio 18), temperature seasonality (bio 4), and precipitation seasonality (bio 15) were identified as the main factors influencing wombat roadkill. The most roadkills reported per kilometre (3.7/km) occurred on Old Bega Road and Steeple Flat Road, in the New South Wales southern tablelands. Reduced reporting corresponded with a reduced number of citizen scientists continuing to report sightings over time, reflecting the limitations of the data collected by citizen scientists. However, data should continue to be collected by citizen scientists as it is an easy and low-cost method of collecting data over large areas, and can provide information to managers to support conservation efforts directed at reducing roadkill. Our study emphasises the need to continue to engage and reward citizen scientists for their efforts.
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