Continental risk assessment for understudied taxa post‐catastrophic wildfire indicates severe impacts on the Australian bee fauna
The 2019–2020 Australian Black Summer wildfires demonstrated that single events can have widespread and catastrophic impacts on biodiversity, causing a sudden and marked reduction in population size for many species. In such circumstances, there is a need for conservation managers to respond rapidly...
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Published in | Global change biology Vol. 27; no. 24; pp. 6551 - 6567 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Oxford
Blackwell Publishing Ltd
01.12.2021
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Subjects | |
Online Access | Get full text |
ISSN | 1354-1013 1365-2486 1365-2486 |
DOI | 10.1111/gcb.15879 |
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Abstract | The 2019–2020 Australian Black Summer wildfires demonstrated that single events can have widespread and catastrophic impacts on biodiversity, causing a sudden and marked reduction in population size for many species. In such circumstances, there is a need for conservation managers to respond rapidly to implement priority remedial management actions for the most‐affected species to help prevent extinctions. To date, priority responses have been biased towards high‐profile taxa with substantial information bases. Here, we demonstrate that sufficient data are available to model the extinction risk for many less well‐known species, which could inform much broader and more effective ecological disaster responses. Using publicly available collection and GIS datasets, combined with life‐history data, we modelled the extinction risk from the 2019–2020 catastrophic Australian wildfires for 553 Australian native bee species (33% of all described Australian bee taxa). We suggest that two species are now eligible for listing as Endangered and nine are eligible for listing as Vulnerable under IUCN criteria, on the basis of fire overlap, intensity, frequency, and life‐history traits: this tally far exceeds the three Australian bee species listed as threatened prior to the wildfire. We demonstrate how to undertake a wide‐scale assessment of wildfire impact on a poorly understood group to help to focus surveys and recovery efforts. We also provide the methods and the script required to make similar assessments for other taxa or in other regions.
The novel methods, outcomes, and implications are from analyses of the Black Summer wildfires on Australia's native bees. IUCN and EPBC categories are (L) Least Concern, (V) Vulnerable, (E) Endangered, and (CE) Critically Endangered. Silhouettes were either sourced from www.phylopic.org or created by the authors. |
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AbstractList | The 2019–2020 Australian Black Summer wildfires demonstrated that single events can have widespread and catastrophic impacts on biodiversity, causing a sudden and marked reduction in population size for many species. In such circumstances, there is a need for conservation managers to respond rapidly to implement priority remedial management actions for the most‐affected species to help prevent extinctions. To date, priority responses have been biased towards high‐profile taxa with substantial information bases. Here, we demonstrate that sufficient data are available to model the extinction risk for many less well‐known species, which could inform much broader and more effective ecological disaster responses. Using publicly available collection and GIS datasets, combined with life‐history data, we modelled the extinction risk from the 2019–2020 catastrophic Australian wildfires for 553 Australian native bee species (33% of all described Australian bee taxa). We suggest that two species are now eligible for listing as Endangered and nine are eligible for listing as Vulnerable under IUCN criteria, on the basis of fire overlap, intensity, frequency, and life‐history traits: this tally far exceeds the three Australian bee species listed as threatened prior to the wildfire. We demonstrate how to undertake a wide‐scale assessment of wildfire impact on a poorly understood group to help to focus surveys and recovery efforts. We also provide the methods and the script required to make similar assessments for other taxa or in other regions. The 2019–2020 Australian Black Summer wildfires demonstrated that single events can have widespread and catastrophic impacts on biodiversity, causing a sudden and marked reduction in population size for many species. In such circumstances, there is a need for conservation managers to respond rapidly to implement priority remedial management actions for the most‐affected species to help prevent extinctions. To date, priority responses have been biased towards high‐profile taxa with substantial information bases. Here, we demonstrate that sufficient data are available to model the extinction risk for many less well‐known species, which could inform much broader and more effective ecological disaster responses. Using publicly available collection and GIS datasets, combined with life‐history data, we modelled the extinction risk from the 2019–2020 catastrophic Australian wildfires for 553 Australian native bee species (33% of all described Australian bee taxa). We suggest that two species are now eligible for listing as Endangered and nine are eligible for listing as Vulnerable under IUCN criteria, on the basis of fire overlap, intensity, frequency, and life‐history traits: this tally far exceeds the three Australian bee species listed as threatened prior to the wildfire. We demonstrate how to undertake a wide‐scale assessment of wildfire impact on a poorly understood group to help to focus surveys and recovery efforts. We also provide the methods and the script required to make similar assessments for other taxa or in other regions. The novel methods, outcomes, and implications are from analyses of the Black Summer wildfires on Australia's native bees. IUCN and EPBC categories are (L) Least Concern, (V) Vulnerable, (E) Endangered, and (CE) Critically Endangered. Silhouettes were either sourced from www.phylopic.org or created by the authors. The 2019-2020 Australian Black Summer wildfires demonstrated that single events can have widespread and catastrophic impacts on biodiversity, causing a sudden and marked reduction in population size for many species. In such circumstances, there is a need for conservation managers to respond rapidly to implement priority remedial management actions for the most-affected species to help prevent extinctions. To date, priority responses have been biased towards high-profile taxa with substantial information bases. Here, we demonstrate that sufficient data are available to model the extinction risk for many less well-known species, which could inform much broader and more effective ecological disaster responses. Using publicly available collection and GIS datasets, combined with life-history data, we modelled the extinction risk from the 2019-2020 catastrophic Australian wildfires for 553 Australian native bee species (33% of all described Australian bee taxa). We suggest that two species are now eligible for listing as Endangered and nine are eligible for listing as Vulnerable under IUCN criteria, on the basis of fire overlap, intensity, frequency, and life-history traits: this tally far exceeds the three Australian bee species listed as threatened prior to the wildfire. We demonstrate how to undertake a wide-scale assessment of wildfire impact on a poorly understood group to help to focus surveys and recovery efforts. We also provide the methods and the script required to make similar assessments for other taxa or in other regions.The 2019-2020 Australian Black Summer wildfires demonstrated that single events can have widespread and catastrophic impacts on biodiversity, causing a sudden and marked reduction in population size for many species. In such circumstances, there is a need for conservation managers to respond rapidly to implement priority remedial management actions for the most-affected species to help prevent extinctions. To date, priority responses have been biased towards high-profile taxa with substantial information bases. Here, we demonstrate that sufficient data are available to model the extinction risk for many less well-known species, which could inform much broader and more effective ecological disaster responses. Using publicly available collection and GIS datasets, combined with life-history data, we modelled the extinction risk from the 2019-2020 catastrophic Australian wildfires for 553 Australian native bee species (33% of all described Australian bee taxa). We suggest that two species are now eligible for listing as Endangered and nine are eligible for listing as Vulnerable under IUCN criteria, on the basis of fire overlap, intensity, frequency, and life-history traits: this tally far exceeds the three Australian bee species listed as threatened prior to the wildfire. We demonstrate how to undertake a wide-scale assessment of wildfire impact on a poorly understood group to help to focus surveys and recovery efforts. We also provide the methods and the script required to make similar assessments for other taxa or in other regions. |
Author | Leitch, Emrys J. O’Reilly, Robert L. Leijs, Remko Marsh, Jessica Dorey, James B. Prendergast, Kit S. Woinarski, John C. Z. Hearn, Lucas R. Caddy‐Retalic, Stefan Parslow, Ben A. Davies, Olivia K. Rebola, Celina M. Hogendoorn, Katja |
Author_xml | – sequence: 1 givenname: James B. orcidid: 0000-0003-2721-3842 surname: Dorey fullname: Dorey, James B. email: jbdorey@me.com organization: South Australian Museum – sequence: 2 givenname: Celina M. surname: Rebola fullname: Rebola, Celina M. organization: Flinders University – sequence: 3 givenname: Olivia K. orcidid: 0000-0001-6872-3772 surname: Davies fullname: Davies, Olivia K. organization: Flinders University – sequence: 4 givenname: Kit S. orcidid: 0000-0002-1164-6099 surname: Prendergast fullname: Prendergast, Kit S. organization: Curtin University – sequence: 5 givenname: Ben A. orcidid: 0000-0003-2339-6012 surname: Parslow fullname: Parslow, Ben A. organization: South Australian Museum – sequence: 6 givenname: Katja orcidid: 0000-0002-4942-8062 surname: Hogendoorn fullname: Hogendoorn, Katja organization: The University of Adelaide – sequence: 7 givenname: Remko orcidid: 0000-0001-6909-5659 surname: Leijs fullname: Leijs, Remko organization: South Australian Museum – sequence: 8 givenname: Lucas R. orcidid: 0000-0002-0180-3994 surname: Hearn fullname: Hearn, Lucas R. organization: Flinders University – sequence: 9 givenname: Emrys J. orcidid: 0000-0003-3857-5697 surname: Leitch fullname: Leitch, Emrys J. organization: University of Adelaide – sequence: 10 givenname: Robert L. orcidid: 0000-0001-5291-7396 surname: O’Reilly fullname: O’Reilly, Robert L. organization: Flinders University – sequence: 11 givenname: Jessica orcidid: 0000-0002-4062-4155 surname: Marsh fullname: Marsh, Jessica organization: Murdoch University – sequence: 12 givenname: John C. Z. orcidid: 0000-0002-1712-9500 surname: Woinarski fullname: Woinarski, John C. Z. organization: University of Melbourne – sequence: 13 givenname: Stefan orcidid: 0000-0003-4870-4202 surname: Caddy‐Retalic fullname: Caddy‐Retalic, Stefan organization: University of Sydney |
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Notes | Funding information This research was funded by the Playford Trust PhD Scholarship to JBD and OKD and the AJ and IM Naylon PhD Scholarship to JBD. This project was also supported by the Australian Government Research Training Program Scholarship to OKD, LRH, and RLO’R. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
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Snippet | The 2019–2020 Australian Black Summer wildfires demonstrated that single events can have widespread and catastrophic impacts on biodiversity, causing a sudden... The 2019-2020 Australian Black Summer wildfires demonstrated that single events can have widespread and catastrophic impacts on biodiversity, causing a sudden... |
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SubjectTerms | Bees Biodiversity bushfire Catastrophic events climate change data collection Disaster management disturbance Ecological effects Endangered & extinct species Endangered species extinction extinction risk fauna Geographical information systems global change Indigenous species invertebrates life history Meta-analysis Population number population size Rare species risk Risk assessment Species checklists Species extinction Surveys Taxa Threatened species Wildfires |
Title | Continental risk assessment for understudied taxa post‐catastrophic wildfire indicates severe impacts on the Australian bee fauna |
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