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A framework for quantifying the relationship between intensity and severity of impact of disturbance across types of events and species

Understanding the impacts of natural disturbances on wildlife populations is a central task for ecologists; in general, the severity of impact of a disturbance (e.g., the resulting degree of population decline) is likely to depend primarily on the disturbance intensity (i.e., strength of forcing), t...

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Autores principales: Iwasaki, Aiko, Noda, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5768861/
https://www.ncbi.nlm.nih.gov/pubmed/29335557
http://dx.doi.org/10.1038/s41598-017-19048-5
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author Iwasaki, Aiko
Noda, Takashi
author_facet Iwasaki, Aiko
Noda, Takashi
author_sort Iwasaki, Aiko
collection PubMed
description Understanding the impacts of natural disturbances on wildlife populations is a central task for ecologists; in general, the severity of impact of a disturbance (e.g., the resulting degree of population decline) is likely to depend primarily on the disturbance intensity (i.e., strength of forcing), type of disturbance, and species vulnerability. However, differences among disturbance events in the physical units of forcing and interspecific differences in the temporal variability of population size under normal (non-disturbance) conditions hinder comprehensive analysis of disturbance severity. Here, we propose new measures of disturbance intensity and severity, both represented by the return periods. We use a meta-analysis to describe the severity–intensity relationship across various disturbance types and species. The severity and the range of its 95% confidential interval increased exponentially with increasing intensity. This nonlinear relationship suggests that physically intense events may have a catastrophic impact, but their severity cannot be extrapolated from the severity–intensity relationship for weak, frequent disturbance events. The framework we propose may help to clarify the influence of event types and species traits on the severity–intensity relationship, as well as to improve our ability to predict the ecological consequences of various disturbance events of unexperienced intensity.
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spelling pubmed-57688612018-01-25 A framework for quantifying the relationship between intensity and severity of impact of disturbance across types of events and species Iwasaki, Aiko Noda, Takashi Sci Rep Article Understanding the impacts of natural disturbances on wildlife populations is a central task for ecologists; in general, the severity of impact of a disturbance (e.g., the resulting degree of population decline) is likely to depend primarily on the disturbance intensity (i.e., strength of forcing), type of disturbance, and species vulnerability. However, differences among disturbance events in the physical units of forcing and interspecific differences in the temporal variability of population size under normal (non-disturbance) conditions hinder comprehensive analysis of disturbance severity. Here, we propose new measures of disturbance intensity and severity, both represented by the return periods. We use a meta-analysis to describe the severity–intensity relationship across various disturbance types and species. The severity and the range of its 95% confidential interval increased exponentially with increasing intensity. This nonlinear relationship suggests that physically intense events may have a catastrophic impact, but their severity cannot be extrapolated from the severity–intensity relationship for weak, frequent disturbance events. The framework we propose may help to clarify the influence of event types and species traits on the severity–intensity relationship, as well as to improve our ability to predict the ecological consequences of various disturbance events of unexperienced intensity. Nature Publishing Group UK 2018-01-15 /pmc/articles/PMC5768861/ /pubmed/29335557 http://dx.doi.org/10.1038/s41598-017-19048-5 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Iwasaki, Aiko
Noda, Takashi
A framework for quantifying the relationship between intensity and severity of impact of disturbance across types of events and species
title A framework for quantifying the relationship between intensity and severity of impact of disturbance across types of events and species
title_full A framework for quantifying the relationship between intensity and severity of impact of disturbance across types of events and species
title_fullStr A framework for quantifying the relationship between intensity and severity of impact of disturbance across types of events and species
title_full_unstemmed A framework for quantifying the relationship between intensity and severity of impact of disturbance across types of events and species
title_short A framework for quantifying the relationship between intensity and severity of impact of disturbance across types of events and species
title_sort framework for quantifying the relationship between intensity and severity of impact of disturbance across types of events and species
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5768861/
https://www.ncbi.nlm.nih.gov/pubmed/29335557
http://dx.doi.org/10.1038/s41598-017-19048-5
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