Journal article 372 views 136 downloads
Methodologies for the identification of historic forest pathogen dynamics
The Holocene, Volume: 35, Issue: 6-7, Pages: 661 - 674
Swansea University Authors:
Matthew Watkins, Sofia Consuegra del Olmo , Cynthia Froyd
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DOI (Published version): 10.1177/09596836251327723
Abstract
The scale, severity, and synchronicity of recent outbreaks of forest pests such as bark beetles (Coleoptera, Scolytinae) and defoliators (Lepidoptera, Choristoneura) within coniferous forest ecosystems of North America, Europe, and Asia are widely regarded as ‘unprecedented’. Despite such devastatin...
| Published in: | The Holocene |
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| ISSN: | 0959-6836 1477-0911 |
| Published: |
SAGE Publications
2025
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa69026 |
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2025-03-04T15:57:47Z |
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2025-06-21T04:52:48Z |
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2025-06-20T15:10:55.0097631 v2 69026 2025-03-04 Methodologies for the identification of historic forest pathogen dynamics 8fbdd9b45e876bf7d2adb0cd57284624 Matthew Watkins Matthew Watkins true false 241f2810ab8f56be53ca8af23e384c6e 0000-0003-4403-2509 Sofia Consuegra del Olmo Sofia Consuegra del Olmo true false 788282697fc0b9ce69b76add9267d7b1 0000-0001-5291-9156 Cynthia Froyd Cynthia Froyd true false 2025-03-04 The scale, severity, and synchronicity of recent outbreaks of forest pests such as bark beetles (Coleoptera, Scolytinae) and defoliators (Lepidoptera, Choristoneura) within coniferous forest ecosystems of North America, Europe, and Asia are widely regarded as ‘unprecedented’. Despite such devastating outbreak occurrence in recent times, very little is known about historic outbreak occurrence. Traditional methods of reconstructing historic outbreak dynamics, including dendroecology, pollen analysis, and the identification of fossilised pest remains, all have critical weaknesses in their ability to reconstruct such outbreaks accurately, notably non-standardised methodologies, varying parameters for identifying outbreak periods within proxy records, and a bias towards the detection of large-scale, highly destructive outbreaks only. The development of a more accurate detection tool to reconstruct historic outbreak dynamics within the palaeoecological record has been prioritised as one of the top 50 areas of research within Quaternary science. This paper assesses the current methodologies, before presenting the potential role of DNA-based methodologies can play in overcoming some of these limitations and providing more comprehensive reconstructions, and critically, direct detection of historic forest pathogen outbreaks. Journal Article The Holocene 35 6-7 661 674 SAGE Publications 0959-6836 1477-0911 bark beetles, Dendroctonus, defoliators, forest pests, palaeoecology, sedaDNA 1 7 2025 2025-07-01 10.1177/09596836251327723 COLLEGE NANME COLLEGE CODE Swansea University SU Library paid the OA fee (TA Institutional Deal) This research was supported by the Quaternary Research Association (QRA) through a QRA New Research Worker’s Award (NRWA) obtained by the first author. 2025-06-20T15:10:55.0097631 2025-03-04T15:54:31.6718314 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Matthew Watkins 1 Sofia Consuegra del Olmo 0000-0003-4403-2509 2 Stephan Woodborne 0000-0001-8573-8626 3 Julie Johnson 4 Cynthia Froyd 0000-0001-5291-9156 5 69026__34105__b2db38968ff9464b82ccb4a9081cb82b.pdf 69026.VOR.pdf 2025-04-24T15:21:07.2157857 Output 1193401 application/pdf Version of Record true © The Author(s) 2025. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (CC BY). true eng https://creativecommons.org/licenses/by/4.0/ |
| title |
Methodologies for the identification of historic forest pathogen dynamics |
| spellingShingle |
Methodologies for the identification of historic forest pathogen dynamics Matthew Watkins Sofia Consuegra del Olmo Cynthia Froyd |
| title_short |
Methodologies for the identification of historic forest pathogen dynamics |
| title_full |
Methodologies for the identification of historic forest pathogen dynamics |
| title_fullStr |
Methodologies for the identification of historic forest pathogen dynamics |
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Methodologies for the identification of historic forest pathogen dynamics |
| title_sort |
Methodologies for the identification of historic forest pathogen dynamics |
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8fbdd9b45e876bf7d2adb0cd57284624 241f2810ab8f56be53ca8af23e384c6e 788282697fc0b9ce69b76add9267d7b1 |
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8fbdd9b45e876bf7d2adb0cd57284624_***_Matthew Watkins 241f2810ab8f56be53ca8af23e384c6e_***_Sofia Consuegra del Olmo 788282697fc0b9ce69b76add9267d7b1_***_Cynthia Froyd |
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Matthew Watkins Sofia Consuegra del Olmo Cynthia Froyd |
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Matthew Watkins Sofia Consuegra del Olmo Stephan Woodborne Julie Johnson Cynthia Froyd |
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The Holocene |
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35 |
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6-7 |
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661 |
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2025 |
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Swansea University |
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10.1177/09596836251327723 |
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SAGE Publications |
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The scale, severity, and synchronicity of recent outbreaks of forest pests such as bark beetles (Coleoptera, Scolytinae) and defoliators (Lepidoptera, Choristoneura) within coniferous forest ecosystems of North America, Europe, and Asia are widely regarded as ‘unprecedented’. Despite such devastating outbreak occurrence in recent times, very little is known about historic outbreak occurrence. Traditional methods of reconstructing historic outbreak dynamics, including dendroecology, pollen analysis, and the identification of fossilised pest remains, all have critical weaknesses in their ability to reconstruct such outbreaks accurately, notably non-standardised methodologies, varying parameters for identifying outbreak periods within proxy records, and a bias towards the detection of large-scale, highly destructive outbreaks only. The development of a more accurate detection tool to reconstruct historic outbreak dynamics within the palaeoecological record has been prioritised as one of the top 50 areas of research within Quaternary science. This paper assesses the current methodologies, before presenting the potential role of DNA-based methodologies can play in overcoming some of these limitations and providing more comprehensive reconstructions, and critically, direct detection of historic forest pathogen outbreaks. |
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2025-07-01T05:25:52Z |
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1851369510822477824 |
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11.089572 |

