Effects of Measuring Devices and Sampling Strategies on the Interpretation of Monitoring Data for Long-Term Trend Analysis

A thorough and reliable assessment of changes in sea surface water temperatures (SSWTs) is essential for understanding the effects of global warming on long-term trends in marine ecosystems and their communities. The first long-term temperature measurements were established almost a century ago, esp...

Full description

Bibliographic Details
Published in:Frontiers in Marine Science
Main Authors: Fischer, Philipp, Dietrich, Peter, Achterberg, Eric P., Anselm, Norbert, Brix, Holger, Bussmann, Ingeborg, Eickelmann, Laura, Flöser, Götz, Friedrich, Madlen, Rust, Hendrik, Schütze, Claudia, Koedel, Uta
Format: Article in Journal/Newspaper
Language:unknown
Published: Frontiers Media SA 2021
Subjects:
Online Access:http://dx.doi.org/10.3389/fmars.2021.770977
https://www.frontiersin.org/articles/10.3389/fmars.2021.770977/full
id crfrontiers:10.3389/fmars.2021.770977
record_format openpolar
spelling crfrontiers:10.3389/fmars.2021.770977 2024-09-15T17:54:12+00:00 Effects of Measuring Devices and Sampling Strategies on the Interpretation of Monitoring Data for Long-Term Trend Analysis Fischer, Philipp Dietrich, Peter Achterberg, Eric P. Anselm, Norbert Brix, Holger Bussmann, Ingeborg Eickelmann, Laura Flöser, Götz Friedrich, Madlen Rust, Hendrik Schütze, Claudia Koedel, Uta 2021 http://dx.doi.org/10.3389/fmars.2021.770977 https://www.frontiersin.org/articles/10.3389/fmars.2021.770977/full unknown Frontiers Media SA https://creativecommons.org/licenses/by/4.0/ Frontiers in Marine Science volume 8 ISSN 2296-7745 journal-article 2021 crfrontiers https://doi.org/10.3389/fmars.2021.770977 2024-09-03T04:03:22Z A thorough and reliable assessment of changes in sea surface water temperatures (SSWTs) is essential for understanding the effects of global warming on long-term trends in marine ecosystems and their communities. The first long-term temperature measurements were established almost a century ago, especially in coastal areas, and some of them are still in operation. However, while in earlier times these measurements were done by hand every day, current environmental long-term observation stations (ELTOS) are often fully automated and integrated in cabled underwater observatories (UWOs). With this new technology, year-round measurements became feasible even in remote or difficult to access areas, such as coastal areas of the Arctic Ocean in winter, where measurements were almost impossible just a decade ago. In this context, there is a question over what extent the sampling frequency and accuracy influence results in long-term monitoring approaches. In this paper, we address this with a combination of lab experiments on sensor accuracy and precision and a simulated sampling program with different sampling frequencies based on a continuous water temperature dataset from Svalbard, Arctic, from 2012 to 2017. Our laboratory experiments showed that temperature measurements with 12 different temperature sensor types at different price ranges all provided measurements accurate enough to resolve temperature changes over years on a level discussed in the literature when addressing climate change effects in coastal waters. However, the experiments also revealed that some sensors are more suitable for measuring absolute temperature changes over time, while others are more suitable for determining relative temperature changes. Our simulated sampling program in Svalbard coastal waters over 5 years revealed that the selection of a proper sampling frequency is most relevant for discriminating significant long-term temperature changes from random daily, seasonal, or interannual fluctuations. While hourly and daily sampling could ... Article in Journal/Newspaper Arctic Ocean Climate change Global warming Svalbard Frontiers (Publisher) Frontiers in Marine Science 8
institution Open Polar
collection Frontiers (Publisher)
op_collection_id crfrontiers
language unknown
description A thorough and reliable assessment of changes in sea surface water temperatures (SSWTs) is essential for understanding the effects of global warming on long-term trends in marine ecosystems and their communities. The first long-term temperature measurements were established almost a century ago, especially in coastal areas, and some of them are still in operation. However, while in earlier times these measurements were done by hand every day, current environmental long-term observation stations (ELTOS) are often fully automated and integrated in cabled underwater observatories (UWOs). With this new technology, year-round measurements became feasible even in remote or difficult to access areas, such as coastal areas of the Arctic Ocean in winter, where measurements were almost impossible just a decade ago. In this context, there is a question over what extent the sampling frequency and accuracy influence results in long-term monitoring approaches. In this paper, we address this with a combination of lab experiments on sensor accuracy and precision and a simulated sampling program with different sampling frequencies based on a continuous water temperature dataset from Svalbard, Arctic, from 2012 to 2017. Our laboratory experiments showed that temperature measurements with 12 different temperature sensor types at different price ranges all provided measurements accurate enough to resolve temperature changes over years on a level discussed in the literature when addressing climate change effects in coastal waters. However, the experiments also revealed that some sensors are more suitable for measuring absolute temperature changes over time, while others are more suitable for determining relative temperature changes. Our simulated sampling program in Svalbard coastal waters over 5 years revealed that the selection of a proper sampling frequency is most relevant for discriminating significant long-term temperature changes from random daily, seasonal, or interannual fluctuations. While hourly and daily sampling could ...
format Article in Journal/Newspaper
author Fischer, Philipp
Dietrich, Peter
Achterberg, Eric P.
Anselm, Norbert
Brix, Holger
Bussmann, Ingeborg
Eickelmann, Laura
Flöser, Götz
Friedrich, Madlen
Rust, Hendrik
Schütze, Claudia
Koedel, Uta
spellingShingle Fischer, Philipp
Dietrich, Peter
Achterberg, Eric P.
Anselm, Norbert
Brix, Holger
Bussmann, Ingeborg
Eickelmann, Laura
Flöser, Götz
Friedrich, Madlen
Rust, Hendrik
Schütze, Claudia
Koedel, Uta
Effects of Measuring Devices and Sampling Strategies on the Interpretation of Monitoring Data for Long-Term Trend Analysis
author_facet Fischer, Philipp
Dietrich, Peter
Achterberg, Eric P.
Anselm, Norbert
Brix, Holger
Bussmann, Ingeborg
Eickelmann, Laura
Flöser, Götz
Friedrich, Madlen
Rust, Hendrik
Schütze, Claudia
Koedel, Uta
author_sort Fischer, Philipp
title Effects of Measuring Devices and Sampling Strategies on the Interpretation of Monitoring Data for Long-Term Trend Analysis
title_short Effects of Measuring Devices and Sampling Strategies on the Interpretation of Monitoring Data for Long-Term Trend Analysis
title_full Effects of Measuring Devices and Sampling Strategies on the Interpretation of Monitoring Data for Long-Term Trend Analysis
title_fullStr Effects of Measuring Devices and Sampling Strategies on the Interpretation of Monitoring Data for Long-Term Trend Analysis
title_full_unstemmed Effects of Measuring Devices and Sampling Strategies on the Interpretation of Monitoring Data for Long-Term Trend Analysis
title_sort effects of measuring devices and sampling strategies on the interpretation of monitoring data for long-term trend analysis
publisher Frontiers Media SA
publishDate 2021
url http://dx.doi.org/10.3389/fmars.2021.770977
https://www.frontiersin.org/articles/10.3389/fmars.2021.770977/full
genre Arctic Ocean
Climate change
Global warming
Svalbard
genre_facet Arctic Ocean
Climate change
Global warming
Svalbard
op_source Frontiers in Marine Science
volume 8
ISSN 2296-7745
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3389/fmars.2021.770977
container_title Frontiers in Marine Science
container_volume 8
_version_ 1810430430098227200