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Temporal and spatial lags between wind, coastal upwelling, and blue whale occurrence

Understanding relationships between physical drivers and biological response is central to advancing ecological knowledge. Wind is the physical forcing mechanism in coastal upwelling systems, however lags between wind input and biological responses are seldom quantified for marine predators. Lags we...

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Autores principales: Barlow, Dawn R., Klinck, Holger, Ponirakis, Dimitri, Garvey, Christina, Torres, Leigh G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994810/
https://www.ncbi.nlm.nih.gov/pubmed/33767285
http://dx.doi.org/10.1038/s41598-021-86403-y
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author Barlow, Dawn R.
Klinck, Holger
Ponirakis, Dimitri
Garvey, Christina
Torres, Leigh G.
author_facet Barlow, Dawn R.
Klinck, Holger
Ponirakis, Dimitri
Garvey, Christina
Torres, Leigh G.
author_sort Barlow, Dawn R.
collection PubMed
description Understanding relationships between physical drivers and biological response is central to advancing ecological knowledge. Wind is the physical forcing mechanism in coastal upwelling systems, however lags between wind input and biological responses are seldom quantified for marine predators. Lags were examined between wind at an upwelling source, decreased temperatures along the upwelling plume’s trajectory, and blue whale occurrence in New Zealand’s South Taranaki Bight region (STB). Wind speed and sea surface temperature (SST) were extracted for austral spring–summer months between 2009 and 2019. A hydrophone recorded blue whale vocalizations October 2016-March 2017. Timeseries cross-correlation analyses were conducted between wind speed, SST at different locations along the upwelling plume, and blue whale downswept vocalizations (D calls). Results document increasing lag times (0–2 weeks) between wind speed and SST consistent with the spatial progression of upwelling, culminating with increased D call density at the distal end of the plume three weeks after increased wind speeds at the upwelling source. Lag between wind events and blue whale aggregations (n = 34 aggregations 2013–2019) was 2.09 ± 0.43 weeks. Variation in lag was significantly related to the amount of wind over the preceding 30 days, which likely influences stratification. This study enhances knowledge of physical-biological coupling in upwelling ecosystems and enables improved forecasting of species distribution patterns for dynamic management.
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spelling pubmed-79948102021-03-29 Temporal and spatial lags between wind, coastal upwelling, and blue whale occurrence Barlow, Dawn R. Klinck, Holger Ponirakis, Dimitri Garvey, Christina Torres, Leigh G. Sci Rep Article Understanding relationships between physical drivers and biological response is central to advancing ecological knowledge. Wind is the physical forcing mechanism in coastal upwelling systems, however lags between wind input and biological responses are seldom quantified for marine predators. Lags were examined between wind at an upwelling source, decreased temperatures along the upwelling plume’s trajectory, and blue whale occurrence in New Zealand’s South Taranaki Bight region (STB). Wind speed and sea surface temperature (SST) were extracted for austral spring–summer months between 2009 and 2019. A hydrophone recorded blue whale vocalizations October 2016-March 2017. Timeseries cross-correlation analyses were conducted between wind speed, SST at different locations along the upwelling plume, and blue whale downswept vocalizations (D calls). Results document increasing lag times (0–2 weeks) between wind speed and SST consistent with the spatial progression of upwelling, culminating with increased D call density at the distal end of the plume three weeks after increased wind speeds at the upwelling source. Lag between wind events and blue whale aggregations (n = 34 aggregations 2013–2019) was 2.09 ± 0.43 weeks. Variation in lag was significantly related to the amount of wind over the preceding 30 days, which likely influences stratification. This study enhances knowledge of physical-biological coupling in upwelling ecosystems and enables improved forecasting of species distribution patterns for dynamic management. Nature Publishing Group UK 2021-03-25 /pmc/articles/PMC7994810/ /pubmed/33767285 http://dx.doi.org/10.1038/s41598-021-86403-y Text en © The Author(s) 2021 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Barlow, Dawn R.
Klinck, Holger
Ponirakis, Dimitri
Garvey, Christina
Torres, Leigh G.
Temporal and spatial lags between wind, coastal upwelling, and blue whale occurrence
title Temporal and spatial lags between wind, coastal upwelling, and blue whale occurrence
title_full Temporal and spatial lags between wind, coastal upwelling, and blue whale occurrence
title_fullStr Temporal and spatial lags between wind, coastal upwelling, and blue whale occurrence
title_full_unstemmed Temporal and spatial lags between wind, coastal upwelling, and blue whale occurrence
title_short Temporal and spatial lags between wind, coastal upwelling, and blue whale occurrence
title_sort temporal and spatial lags between wind, coastal upwelling, and blue whale occurrence
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994810/
https://www.ncbi.nlm.nih.gov/pubmed/33767285
http://dx.doi.org/10.1038/s41598-021-86403-y
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