Abstract
A bottleneck in restoring self-sustaining beds of the European oyster (Ostrea edulis) is the successful development and settlement of larvae to bottom habitats. These processes are largely governed by temperature but a mechanistic understanding of larval performance across ecologically relevant temperatures is lacking. We reared larvae at low (20–21 °C) and high (20–24 °C) fluctuating temperatures and applied short-term exposures of larvae to temperatures between 16 and 33 °C to assess vital rates and thermal coping ranges. Larval thermal preference was between 25 and 30 °C for both rearing treatments which corresponded with optimum temperatures for oxygen consumption rates and locomotion. Larvae had 5.5-fold higher settling success, however, when reared at the high compared to the low fluctuating temperatures. Higher mean and periods of increased temperature, as projected in a future climate, may therefore enhance recruitment success of O. edulis in northern European habitats.
Original language | English |
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Article number | 115750 |
Number of pages | 12 |
Journal | Marine Pollution Bulletin |
Volume | 198 |
DOIs | |
Publication status | Published - Jan 2024 |
Bibliographical note
Publisher Copyright:© 2023 The Authors
Funding
This research is a contribution to the European Union's Horizon 2020 research and innovation programme under Grant Agreement No. 869300 (Climate Change and Future Marine Ecosystem Services and Biodiversity-FutureMARES) . This study was also supported by the project De Rijke Noordzee, stichting De Noordzee, stichting Ark Nature Development and the regional subsidy grant by Zeeland in Stroomversnelling. We thank Eveline Garritsen-van Arnhem for support in the laboratory.
Funders | Funder number |
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European Union's Horizon 2020 Research and Innovation Programme | 869300 |
Project De Rijke Noordzee | |
Stichting de Noordzee | |
Stichting Ark Nature Development | |
Zeeland in Stroomversnelling |
Keywords
- Ecosystem restoration
- Flat oyster
- Heat waves
- Ontogeny
- Respiration
- Thermal performance curve