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Providing a detailed estimate of mortality using a simulation-based collision risk model
Marine renewables could form a significant part of the green energy mix. However, a potential environmental impact of tidal energy converters (TECs) is collision risk between a device and animal, which has been a significant barrier in the consenting process. While it is important to understand the...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671428/ https://www.ncbi.nlm.nih.gov/pubmed/36395329 http://dx.doi.org/10.1371/journal.pone.0276757 |
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author | Horne, Nicholas Culloch, Ross M. Schmitt, Pál Wilson, Ben Dale, Andrew C. Houghton, Jonathan D. R. Kregting, Louise T. |
author_facet | Horne, Nicholas Culloch, Ross M. Schmitt, Pál Wilson, Ben Dale, Andrew C. Houghton, Jonathan D. R. Kregting, Louise T. |
author_sort | Horne, Nicholas |
collection | PubMed |
description | Marine renewables could form a significant part of the green energy mix. However, a potential environmental impact of tidal energy converters (TECs) is collision risk between a device and animal, which has been a significant barrier in the consenting process. While it is important to understand the number of collisions of an animal with the device, the relative speed at which an animal collides with the device, and the point on the animal where collision occurs, will determine whether a collision is fatal, which is important in understanding population-level impacts. Using a simulation-based collision risk model, this paper demonstrates a novel method for producing estimates of mortality. Extracting both the speed and the location of collisions between an animal and TEC, in this instance a seal and horizontal axis turbine, collision speed and location of collision are used to produce probabilities of mortality. To provide a hypothetical example we quantified the speed and position at which a collision occurs to estimate mortality and, using collision position, we determine all predicted collisions with the head of the animal as fatal, for example, whilst deeming other collisions non-fatal. This is the first collision risk model to incorporate speed at the point of contact and the location where the collision occurs on the animal, to estimate the probability of mortality resulting from a collision. The hypothetical scenarios outline how these important variables extracted from the model can be used to predict the proportion of fatal events. This model enables a comprehensive approach that ultimately provides advancements in collision risk modelling for use in the consenting process of TECs. Furthermore, these methods can easily be adapted to other renewable energy devices and receptors, such as wind and birds. |
format | Online Article Text |
id | pubmed-9671428 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-96714282022-11-18 Providing a detailed estimate of mortality using a simulation-based collision risk model Horne, Nicholas Culloch, Ross M. Schmitt, Pál Wilson, Ben Dale, Andrew C. Houghton, Jonathan D. R. Kregting, Louise T. PLoS One Research Article Marine renewables could form a significant part of the green energy mix. However, a potential environmental impact of tidal energy converters (TECs) is collision risk between a device and animal, which has been a significant barrier in the consenting process. While it is important to understand the number of collisions of an animal with the device, the relative speed at which an animal collides with the device, and the point on the animal where collision occurs, will determine whether a collision is fatal, which is important in understanding population-level impacts. Using a simulation-based collision risk model, this paper demonstrates a novel method for producing estimates of mortality. Extracting both the speed and the location of collisions between an animal and TEC, in this instance a seal and horizontal axis turbine, collision speed and location of collision are used to produce probabilities of mortality. To provide a hypothetical example we quantified the speed and position at which a collision occurs to estimate mortality and, using collision position, we determine all predicted collisions with the head of the animal as fatal, for example, whilst deeming other collisions non-fatal. This is the first collision risk model to incorporate speed at the point of contact and the location where the collision occurs on the animal, to estimate the probability of mortality resulting from a collision. The hypothetical scenarios outline how these important variables extracted from the model can be used to predict the proportion of fatal events. This model enables a comprehensive approach that ultimately provides advancements in collision risk modelling for use in the consenting process of TECs. Furthermore, these methods can easily be adapted to other renewable energy devices and receptors, such as wind and birds. Public Library of Science 2022-11-17 /pmc/articles/PMC9671428/ /pubmed/36395329 http://dx.doi.org/10.1371/journal.pone.0276757 Text en © 2022 Horne et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Horne, Nicholas Culloch, Ross M. Schmitt, Pál Wilson, Ben Dale, Andrew C. Houghton, Jonathan D. R. Kregting, Louise T. Providing a detailed estimate of mortality using a simulation-based collision risk model |
title | Providing a detailed estimate of mortality using a simulation-based collision risk model |
title_full | Providing a detailed estimate of mortality using a simulation-based collision risk model |
title_fullStr | Providing a detailed estimate of mortality using a simulation-based collision risk model |
title_full_unstemmed | Providing a detailed estimate of mortality using a simulation-based collision risk model |
title_short | Providing a detailed estimate of mortality using a simulation-based collision risk model |
title_sort | providing a detailed estimate of mortality using a simulation-based collision risk model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671428/ https://www.ncbi.nlm.nih.gov/pubmed/36395329 http://dx.doi.org/10.1371/journal.pone.0276757 |
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