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https://hdl.handle.net/1959.11/31747
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Thurtell, Lachlan | en |
dc.contributor.author | Rajaratnam, Rajanathan | en |
dc.contributor.author | Thomas, Piers | en |
dc.contributor.author | Ballard, Guy | en |
dc.contributor.author | Bayne, Paul | en |
dc.contributor.author | Vernes, Karl | en |
dc.date.accessioned | 2021-10-22T03:01:21Z | - |
dc.date.available | 2021-10-22T03:01:21Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Wildlife Research, 49(2), p. 169-182 | en |
dc.identifier.issn | 1448-5494 | en |
dc.identifier.issn | 1035-3712 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/31747 | - |
dc.description.abstract | <p><b><i>Context</b></i>. Species Distribution Models (SDM) can be used to investigate and understand relationships between species occurrence and environmental variables, so as to predict potential distribution. These predictions can facilitate conservation actions and management decisions. Oxley Wild Rivers National Park (OWRNP) is regarded as an important stronghold for the threatened brush-tailed rock-wallaby (<i>Petrogale penicillata</i>), on the basis of the presence of the largest known metapopulation of the species. Adequate knowledge of the species' ecology and distribution in OWRNP is a key objective in the national recovery plan for the species occurring in the Park. </p><p><b><i>Aims</i></b>. To model distribution using key GIS-derived environmental factors for the brush-tailed rock-wallaby in OWRNP and to ground-truth its presence through field surveys in areas of high habitat suitability. </p><p><b><i>Methods</i></b>. We used Maxent to model the distribution of the brush-tailed rock-wallaby within OWRNP on the basis of 282 occurrence records collected from an online database, elicitation of informal records from experts, helicopter surveys and historic records. Environmental variables used in the analysis were aspect, distance to water, elevation, geology type, slope and vegetation type. </p><p><b><i>Key results</b></i>. Vegetation type (37.9%) was the highest contributing predictor of suitable habitat, whereas aspect (4.8%) contributed the least. The model produced an area under the curve (AUC) of the receiver operating characteristic (ROC) of 0.780. The model was able to discriminate between suitable and non-suitable habitat for brush-tailed rock-wallabies. Areas identified in our model as being highly suitable yielded eight new occurrence records during subsequent ground-truthing field surveys. </p><p><b><i>Conclusions</b></i>. Brush-tailed rock-wallaby distribution in OWRNP is primarily associated with vegetation type, followed by distance to water, elevation, geology, slope and aspect. Field surveys indicated that the model was able to identify areas of high habitat suitability. </p><p><b><i>Implications</i></b>. This model represents the first predicted distribution of brush-tailed rock-wallaby in OWRNP. By identifying areas of high habitat suitability, it can be used to survey and monitor the species in OWRNP, and, thus, contribute to its management and conservation within the Park.</p> | en |
dc.language | en | en |
dc.publisher | CSIRO Publishing | en |
dc.relation.ispartof | Wildlife Research | en |
dc.title | Predictively modelling the distribution of the threatened brush-tailed rock-wallaby (Petrogale penicillata) in Oxley Wild Rivers National Park, north-eastern New South Wales, Australia | en |
dc.type | Journal Article | en |
dc.identifier.doi | 10.1071/WR20141 | en |
local.contributor.firstname | Lachlan | en |
local.contributor.firstname | Rajanathan | en |
local.contributor.firstname | Piers | en |
local.contributor.firstname | Guy | en |
local.contributor.firstname | Paul | en |
local.contributor.firstname | Karl | en |
local.subject.for2008 | 050211 Wildlife and Habitat Management | en |
local.subject.for2008 | 050202 Conservation and Biodiversity | en |
local.subject.for2008 | 040699 Physical Geography and Environmental Geoscience not elsewhere classified | en |
local.subject.seo2008 | 960806 Forest and Woodlands Flora, Fauna and Biodiversity | en |
local.subject.seo2008 | 970102 Expanding Knowledge in the Physical Sciences | en |
local.subject.seo2008 | 970105 Expanding Knowledge in the Environmental Sciences | en |
local.profile.school | Faculty of Science, Agriculture, Business and Law | en |
local.profile.school | School of Humanities, Arts and Social Sciences | en |
local.profile.school | School of Environmental and Rural Science | en |
local.profile.school | School of Environmental and Rural Science | en |
local.profile.email | lthurte2@une.edu.au | en |
local.profile.email | rrajarat@une.edu.au | en |
local.profile.email | gballar3@une.edu.au | en |
local.profile.email | kvernes@une.edu.au | en |
local.output.category | C1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.publisher.place | Australia | en |
local.identifier.runningnumber | WR20141 | en |
local.format.startpage | 169 | en |
local.format.endpage | 182 | en |
local.identifier.scopusid | 85115174225 | en |
local.peerreviewed | Yes | en |
local.identifier.volume | 49 | en |
local.identifier.issue | 2 | en |
local.contributor.lastname | Thurtell | en |
local.contributor.lastname | Rajaratnam | en |
local.contributor.lastname | Thomas | en |
local.contributor.lastname | Ballard | en |
local.contributor.lastname | Bayne | en |
local.contributor.lastname | Vernes | en |
dc.identifier.staff | une-id:lthurte2 | en |
dc.identifier.staff | une-id:rrajarat | en |
dc.identifier.staff | une-id:gballar3 | en |
dc.identifier.staff | une-id:kvernes | en |
local.profile.orcid | 0000-0002-5932-7935 | en |
local.profile.orcid | 0000-0002-0287-9720 | en |
local.profile.orcid | 0000-0003-1635-9950 | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:1959.11/31747 | en |
local.date.onlineversion | 2021-09-15 | - |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Predictively modelling the distribution of the threatened brush-tailed rock-wallaby (Petrogale penicillata) in Oxley Wild Rivers National Park, north-eastern New South Wales, Australia | en |
local.relation.fundingsourcenote | University of New England | en |
local.output.categorydescription | C1 Refereed Article in a Scholarly Journal | en |
local.search.author | Thurtell, Lachlan | en |
local.search.author | Rajaratnam, Rajanathan | en |
local.search.author | Thomas, Piers | en |
local.search.author | Ballard, Guy | en |
local.search.author | Bayne, Paul | en |
local.search.author | Vernes, Karl | en |
local.uneassociation | Yes | en |
local.atsiresearch | No | en |
local.sensitive.cultural | No | en |
local.identifier.wosid | 000695919300001 | en |
local.year.available | 2021 | en |
local.year.published | 2022 | en |
local.fileurl.closedpublished | https://rune.une.edu.au/web/retrieve/7698dd40-ecdf-4baa-a6ea-cff78806e9f9 | en |
local.subject.for2020 | 410407 Wildlife and habitat management | en |
local.subject.for2020 | 310402 Biogeography and phylogeography | en |
local.subject.for2020 | 370999 Physical geography and environmental geoscience not elsewhere classified | en |
local.subject.seo2020 | 180606 Terrestrial biodiversity | en |
local.subject.seo2020 | 280120 Expanding knowledge in the physical sciences | en |
local.subject.seo2020 | 280111 Expanding knowledge in the environmental sciences | en |
Appears in Collections: | Journal Article School of Environmental and Rural Science School of Humanities, Arts and Social Sciences |
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