Importance of long-term cycles for predicting water level dynamics in natural lakes

García Molinos, J., Viana, M. , Brennan, M. and Donohue, I. (2015) Importance of long-term cycles for predicting water level dynamics in natural lakes. PLoS ONE, 10(3), e0119253. (doi: 10.1371/journal.pone.0119253) (PMID:25757071) (PMCID:PMC4355075)

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Lakes are disproportionately important ecosystems for humanity, containing 77% of the liquid surface freshwater on Earth and comprising key contributors to global biodiversity. With an ever-growing human demand for water and increasing climate uncertainty, there is pressing need for improved understanding of the underlying patterns of natural variability of water resources and consideration of their implications for water resource management and conservation. Here we use Bayesian harmonic regression models to characterise water level dynamics and study the influence of cyclic components in confounding estimation of long-term directional trends in water levels in natural Irish lakes. We found that the lakes were characterised by a common and well-defined annual seasonality and several inter-annual and inter-decadal cycles with strong transient behaviour over time. Importantly, failing to account for the longer-term cyclic components produced a significant overall underestimation of the trend effect. Our findings demonstrate the importance of contextualising lake water resource management to the specific physical setting of lakes.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Viana, Dr Mafalda
Authors: García Molinos, J., Viana, M., Brennan, M., and Donohue, I.
College/School:College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine
Journal Name:PLoS ONE
Publisher:Public Library of Science
ISSN (Online):1932-6203
Copyright Holders:Copyright © 2015 García Molinos et al.
First Published:First published in PLoS One 10(3):e0119253
Publisher Policy:Reproduced under a Creative Commons License

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