TY - JOUR
T1 - A framework for quantifying the relationship between intensity and severity of impact of disturbance across types of events and species
AU - Iwasaki, Aiko
AU - Noda, Takashi
N1 - Funding Information:
We are grateful to T. Hagino, Dr. T. Okuda, Dr. M. Tsujino, M. Iida, R. Sahara, M. Sakaguchi, M. Ohira, Y. Kanamori, Y. Hiraka, and S. Ko for field assistance. We thank Dr. K. Fukaya for field assistance and helpful comments about the manuscript. We also thank Dr. Y. Nishimura for helpful comments regarding tsunamis. For field and laboratory facilities, we are grateful to the staff and students of the International Coastal Research Center of the Atmosphere and Ocean Research Institute, The University of Tokyo. This study was made possible by the generous support and encouragement of local fishers and the fishery office of the Fisherman’s Cooperative Associations in Iwate. This research was supported by the Cooperative Program of the Atmosphere and Ocean Research Institute, The University of Tokyo (Nos. 108, 104, 107, 101, and 103 in 2006, 2007, 2008, 2009, and 2010, respectively, to TN), and was supported partly by Japan Society for the Promotion of Science (JSPS) KAKENHI Grants (Nos. 20570012, 24570012, and 15K07208 to TN) and the Tohoku Ecosystem-Associated Marine Sciences (TEAMS) project. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Publisher Copyright:
© 2018 The Author(s).
PY - 2018/12/1
Y1 - 2018/12/1
N2 - 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.
AB - 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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U2 - 10.1038/s41598-017-19048-5
DO - 10.1038/s41598-017-19048-5
M3 - Article
C2 - 29335557
AN - SCOPUS:85040788553
SN - 2045-2322
VL - 8
JO - Scientific Reports
JF - Scientific Reports
IS - 1
M1 - 795
ER -