Journal article 616 views 71 downloads
Reconstructing past thermal conditions in beach microclimates
Global Change Biology, Volume: 27, Issue: 24, Pages: 6592 - 6601
Swansea University Author:
Nicole Esteban
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DOI (Published version): 10.1111/gcb.15903
Abstract
Reconstruction of past conditions provides important information on how ecosystems have been impacted by climate change, but generally for microhabitats worldwide there are no long-term empirical measurements. In these cases, there has been protracted debate about how various large-scale environment...
Published in: | Global Change Biology |
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ISSN: | 1354-1013 1365-2486 |
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Wiley
2021
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URI: | https://cronfa.swan.ac.uk/Record/cronfa58324 |
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2021-11-15T11:25:59.1420804 v2 58324 2021-10-14 Reconstructing past thermal conditions in beach microclimates fb2e760b83b4580e7445092982f1f319 0000-0003-4693-7221 Nicole Esteban Nicole Esteban true false 2021-10-14 SBI Reconstruction of past conditions provides important information on how ecosystems have been impacted by climate change, but generally for microhabitats worldwide there are no long-term empirical measurements. In these cases, there has been protracted debate about how various large-scale environmental proxies can best be used to reconstruct local temperatures. Here we help resolve this debate by examining how well environmental proxies hindcast sand temperatures at nest depths for five sea turtle nesting sites across the world. We link instrumental air temperature and sea surface temperature records with empirical sand temperature observations in the Atlantic (Ascension Island and Cape Verde), the Indian Ocean (Chagos Archipelago), the Caribbean (St Eustatius) and the Pacific (French Polynesia). We found strong correlations between sea surface temperatures, air temperatures and sand temperatures at all our study sites. Furthermore, Granger causality testing shows variations in sea surface temperature and air temperature precede variations in sand temperatures. We found that different proxies (air or sea temperature or a combination of both) predicted mean monthly sand temperatures within <0.5°C of empirical observations. Reconstructions of sand temperatures over the last 170 years reveal a slight warming of temperatures (maximum 0.5°C per century). An analysis of 36 published datasets revealed that the gradient of the relationship between sand temperature and air temperature is relatively constant, suggesting long-term changes in sand temperature could be extended around the world to include nesting sites where there are no empirical measurements of sand temperature. Our approaches are likely to have utility for a range of microhabitats where there is an interest in long-term changes in temperature. Journal Article Global Change Biology 27 24 6592 6601 Wiley 1354-1013 1365-2486 Climate change, Granger causality testing, Hadley SST, microhabit modelling, temperature-dependent sex determiniation 1 12 2021 2021-12-01 10.1111/gcb.15903 COLLEGE NANME Biosciences COLLEGE CODE SBI Swansea University Fondation Bertarelli. Grant Number: BPMS-2017-4 2021-11-15T11:25:59.1420804 2021-10-14T09:29:27.3070339 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Jacques‐Olivier Laloë 1 William J. Chivers 2 Nicole Esteban 0000-0003-4693-7221 3 Graeme C. Hays 4 58324__21360__5daa36c07bbb420bae3296a3da6762e9.pdf 58324.pdf 2021-10-28T16:52:04.9438683 Output 1126203 application/pdf Accepted Manuscript true 2022-09-24T00:00:00.0000000 true eng |
title |
Reconstructing past thermal conditions in beach microclimates |
spellingShingle |
Reconstructing past thermal conditions in beach microclimates Nicole Esteban |
title_short |
Reconstructing past thermal conditions in beach microclimates |
title_full |
Reconstructing past thermal conditions in beach microclimates |
title_fullStr |
Reconstructing past thermal conditions in beach microclimates |
title_full_unstemmed |
Reconstructing past thermal conditions in beach microclimates |
title_sort |
Reconstructing past thermal conditions in beach microclimates |
author_id_str_mv |
fb2e760b83b4580e7445092982f1f319 |
author_id_fullname_str_mv |
fb2e760b83b4580e7445092982f1f319_***_Nicole Esteban |
author |
Nicole Esteban |
author2 |
Jacques‐Olivier Laloë William J. Chivers Nicole Esteban Graeme C. Hays |
format |
Journal article |
container_title |
Global Change Biology |
container_volume |
27 |
container_issue |
24 |
container_start_page |
6592 |
publishDate |
2021 |
institution |
Swansea University |
issn |
1354-1013 1365-2486 |
doi_str_mv |
10.1111/gcb.15903 |
publisher |
Wiley |
college_str |
Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences |
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description |
Reconstruction of past conditions provides important information on how ecosystems have been impacted by climate change, but generally for microhabitats worldwide there are no long-term empirical measurements. In these cases, there has been protracted debate about how various large-scale environmental proxies can best be used to reconstruct local temperatures. Here we help resolve this debate by examining how well environmental proxies hindcast sand temperatures at nest depths for five sea turtle nesting sites across the world. We link instrumental air temperature and sea surface temperature records with empirical sand temperature observations in the Atlantic (Ascension Island and Cape Verde), the Indian Ocean (Chagos Archipelago), the Caribbean (St Eustatius) and the Pacific (French Polynesia). We found strong correlations between sea surface temperatures, air temperatures and sand temperatures at all our study sites. Furthermore, Granger causality testing shows variations in sea surface temperature and air temperature precede variations in sand temperatures. We found that different proxies (air or sea temperature or a combination of both) predicted mean monthly sand temperatures within <0.5°C of empirical observations. Reconstructions of sand temperatures over the last 170 years reveal a slight warming of temperatures (maximum 0.5°C per century). An analysis of 36 published datasets revealed that the gradient of the relationship between sand temperature and air temperature is relatively constant, suggesting long-term changes in sand temperature could be extended around the world to include nesting sites where there are no empirical measurements of sand temperature. Our approaches are likely to have utility for a range of microhabitats where there is an interest in long-term changes in temperature. |
published_date |
2021-12-01T04:14:46Z |
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1763753995662262272 |
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11.016235 |