Detecting Petalura gigantea: Novel eDNA Method and Water Balance Modelling Insights Enable Improved Catchment Management and Conservation Outcomes.
Saved in:
| Title: | Detecting Petalura gigantea: Novel eDNA Method and Water Balance Modelling Insights Enable Improved Catchment Management and Conservation Outcomes. |
|---|---|
| Authors: | Cairns, J.1,2 (AUTHOR) joe.cairns@unsw.edu.au, Baird, I. R. C.3 (AUTHOR), Johnson, F.4 (AUTHOR), Noble, L.5 (AUTHOR), Glamore, W.1 (AUTHOR) |
| Source: | Ecohydrology. Mar2025, Vol. 18 Issue 2, p1-14. 14p. |
| Subject Terms: | *Wildlife conservation, *Habitat conservation, *Endangered species, Keystone species, Polymerase chain reaction |
| Abstract: | Petalura gigantea, commonly known as the giant dragonfly, has long‐lived fossorial larvae that are dependent on high water tables in peat swamps (mires) within its range in south‐east Australia. It is an endangered species and is recognised as an appropriate umbrella species for the conservation of its upland swamp habitats. Detection of P. gigantea traditionally involves systematic exuviae surveys or line transect surveys for adults during the flying season from October to February. To address the limitations of these survey methods, we developed an environmental DNA (eDNA) assay to detect the species in swamp discharges. The eDNA quantitative polymerase chain reaction (qPCR) assay was successful in detecting a known population of P. gigantea and indicated the presence of larval populations in two swamps, one where traditional surveys had failed to detect the species. We used swamp water balance models, calibrated to three swamps, to inform the applicability of the eDNA detection method and to explore how catchment characteristics influence habitat suitability. Incorporating these hydrological considerations with basic climatic data enhances the reliability of eDNA detection. This approach, when combined with traditional survey techniques, supports improved conservation outcomes for this species and its endangered, groundwater‐dependent, peat swamp communities. Developing eDNA assays for other peatland‐dependent species globally could facilitate broader biodiversity assessments and bolster conservation of these sensitive habitats. [ABSTRACT FROM AUTHOR] |
| Copyright of Ecohydrology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | GreenFILE |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: 8gh DbLabel: GreenFILE An: 184142730 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Detecting Petalura gigantea: Novel eDNA Method and Water Balance Modelling Insights Enable Improved Catchment Management and Conservation Outcomes. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Cairns%2C+J%2E%22">Cairns, J.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> joe.cairns@unsw.edu.au</i><br /><searchLink fieldCode="AR" term="%22Baird%2C+I%2E R%2E C%2E%22">Baird, I. R. C.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Johnson%2C+F%2E%22">Johnson, F.</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Noble%2C+L%2E%22">Noble, L.</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Glamore%2C+W%2E%22">Glamore, W.</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Ecohydrology%22">Ecohydrology</searchLink>. Mar2025, Vol. 18 Issue 2, p1-14. 14p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Wildlife+conservation%22">Wildlife conservation</searchLink><br />*<searchLink fieldCode="DE" term="%22Habitat+conservation%22">Habitat conservation</searchLink><br />*<searchLink fieldCode="DE" term="%22Endangered+species%22">Endangered species</searchLink><br /><searchLink fieldCode="DE" term="%22Keystone+species%22">Keystone species</searchLink><br /><searchLink fieldCode="DE" term="%22Polymerase+chain+reaction%22">Polymerase chain reaction</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Petalura gigantea, commonly known as the giant dragonfly, has long‐lived fossorial larvae that are dependent on high water tables in peat swamps (mires) within its range in south‐east Australia. It is an endangered species and is recognised as an appropriate umbrella species for the conservation of its upland swamp habitats. Detection of P. gigantea traditionally involves systematic exuviae surveys or line transect surveys for adults during the flying season from October to February. To address the limitations of these survey methods, we developed an environmental DNA (eDNA) assay to detect the species in swamp discharges. The eDNA quantitative polymerase chain reaction (qPCR) assay was successful in detecting a known population of P. gigantea and indicated the presence of larval populations in two swamps, one where traditional surveys had failed to detect the species. We used swamp water balance models, calibrated to three swamps, to inform the applicability of the eDNA detection method and to explore how catchment characteristics influence habitat suitability. Incorporating these hydrological considerations with basic climatic data enhances the reliability of eDNA detection. This approach, when combined with traditional survey techniques, supports improved conservation outcomes for this species and its endangered, groundwater‐dependent, peat swamp communities. Developing eDNA assays for other peatland‐dependent species globally could facilitate broader biodiversity assessments and bolster conservation of these sensitive habitats. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Ecohydrology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=8gh&AN=184142730 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/eco.70013 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 1 Subjects: – SubjectFull: Wildlife conservation Type: general – SubjectFull: Habitat conservation Type: general – SubjectFull: Endangered species Type: general – SubjectFull: Keystone species Type: general – SubjectFull: Polymerase chain reaction Type: general Titles: – TitleFull: Detecting Petalura gigantea: Novel eDNA Method and Water Balance Modelling Insights Enable Improved Catchment Management and Conservation Outcomes. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Cairns, J. – PersonEntity: Name: NameFull: Baird, I. R. C. – PersonEntity: Name: NameFull: Johnson, F. – PersonEntity: Name: NameFull: Noble, L. – PersonEntity: Name: NameFull: Glamore, W. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19360584 Numbering: – Type: volume Value: 18 – Type: issue Value: 2 Titles: – TitleFull: Ecohydrology Type: main |
| ResultId | 1 |
