Seawater carbonate chemistry and fish cognitive performance ...
Ocean acidification is one of the many consequences of climate change. Various studies suggest that marine organisms' behaviour will be impaired under high CO2. Here, we show that the cognitive performance of the cleaner wrasse, Labroides dimidiatus, has not suffered from the increase of CO2 fr...
Main Authors: | , , , , , |
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Format: | Dataset |
Language: | English |
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PANGAEA
2019
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Subjects: | |
Online Access: | https://dx.doi.org/10.1594/pangaea.914654 https://doi.pangaea.de/10.1594/PANGAEA.914654 |
_version_ | 1821673454026358784 |
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author | Paula, José Ricardo Baptista, Miguel Carvalho, Francisco Repolho, Tiago Bshary, Redouan Rosa, Rui |
author_facet | Paula, José Ricardo Baptista, Miguel Carvalho, Francisco Repolho, Tiago Bshary, Redouan Rosa, Rui |
author_sort | Paula, José Ricardo |
collection | DataCite |
description | Ocean acidification is one of the many consequences of climate change. Various studies suggest that marine organisms' behaviour will be impaired under high CO2. Here, we show that the cognitive performance of the cleaner wrasse, Labroides dimidiatus, has not suffered from the increase of CO2 from pre-industrial levels to today, and that the standing variation in CO2 tolerance offers potential for adaptation to at least 750 µatm. We acclimated cleaners over 30 days to five levels of pCO2, from pre-industrial to high future CO2 scenarios, before testing them in an ecologically relevant task—the ability to learn to prioritize an ephemeral food source over a permanent one. Fish learning abilities remained stable from pre-industrial to present-day pCO2. While performance was reduced under mid (750 µatm) and high CO2 (980 µatm) scenarios, under the former 36% of cleaners still solved the task. The presence of tolerant individuals reveals potential for adaptation, as long as selection pressure on cognitive ... : In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2019) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2020-04-02. ... |
format | Dataset |
genre | Ocean acidification |
genre_facet | Ocean acidification |
geographic | Indian |
geographic_facet | Indian |
id | ftdatacite:10.1594/pangaea.914654 |
institution | Open Polar |
language | English |
op_collection_id | ftdatacite |
op_doi | https://doi.org/10.1594/pangaea.91465410.1098/rsbl.2019.061810.6084/m9.figshare.9101993 |
op_relation | https://CRAN.R-project.org/package=seacarb https://dx.doi.org/10.1098/rsbl.2019.0618 https://dx.doi.org/10.6084/m9.figshare.9101993 https://CRAN.R-project.org/package=seacarb |
op_rights | Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
publishDate | 2019 |
publisher | PANGAEA |
record_format | openpolar |
spelling | ftdatacite:10.1594/pangaea.914654 2025-01-17T00:04:46+00:00 Seawater carbonate chemistry and fish cognitive performance ... Paula, José Ricardo Baptista, Miguel Carvalho, Francisco Repolho, Tiago Bshary, Redouan Rosa, Rui 2019 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.914654 https://doi.pangaea.de/10.1594/PANGAEA.914654 en eng PANGAEA https://CRAN.R-project.org/package=seacarb https://dx.doi.org/10.1098/rsbl.2019.0618 https://dx.doi.org/10.6084/m9.figshare.9101993 https://CRAN.R-project.org/package=seacarb Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Animalia Behaviour Bottles or small containers/Aquaria <20 L Chordata Coast and continental shelf Indian Ocean Laboratory experiment Labroides dimidiatus Nekton Pelagos Single species Tropical Type Species Registration number of species Uniform resource locator/link to reference Identification Partial pressure of carbon dioxide water at sea surface temperature wet air Category Number Salinity Temperature, water Temperature, water, standard deviation pH, total scale pH, standard deviation Alkalinity, total Alkalinity, total, standard deviation Carbon, inorganic, dissolved Carbon, inorganic, dissolved, standard deviation Partial pressure of carbon dioxide, standard deviation Aragonite saturation state Aragonite saturation state, standard deviation Carbonate system computation flag Carbon dioxide Carbon dioxide, standard deviation Fugacity of carbon dioxide water at sea surface temperature wet air Fugacity of carbon dioxide in seawater, standard deviation Bicarbonate ion Bicarbonate ion, standard deviation Carbonate ion Carbonate ion, standard deviation Calcite saturation state Calcite saturation state, standard deviation Calculated using CO2SYS Calculated using seacarb after Nisumaa et al. 2010 Calculated using seacarb after Orr et al. 2018 Ocean Acidification International Coordination Centre OA-ICC Dataset dataset 2019 ftdatacite https://doi.org/10.1594/pangaea.91465410.1098/rsbl.2019.061810.6084/m9.figshare.9101993 2024-12-02T15:51:10Z Ocean acidification is one of the many consequences of climate change. Various studies suggest that marine organisms' behaviour will be impaired under high CO2. Here, we show that the cognitive performance of the cleaner wrasse, Labroides dimidiatus, has not suffered from the increase of CO2 from pre-industrial levels to today, and that the standing variation in CO2 tolerance offers potential for adaptation to at least 750 µatm. We acclimated cleaners over 30 days to five levels of pCO2, from pre-industrial to high future CO2 scenarios, before testing them in an ecologically relevant task—the ability to learn to prioritize an ephemeral food source over a permanent one. Fish learning abilities remained stable from pre-industrial to present-day pCO2. While performance was reduced under mid (750 µatm) and high CO2 (980 µatm) scenarios, under the former 36% of cleaners still solved the task. The presence of tolerant individuals reveals potential for adaptation, as long as selection pressure on cognitive ... : In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2019) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2020-04-02. ... Dataset Ocean acidification DataCite Indian |
spellingShingle | Animalia Behaviour Bottles or small containers/Aquaria <20 L Chordata Coast and continental shelf Indian Ocean Laboratory experiment Labroides dimidiatus Nekton Pelagos Single species Tropical Type Species Registration number of species Uniform resource locator/link to reference Identification Partial pressure of carbon dioxide water at sea surface temperature wet air Category Number Salinity Temperature, water Temperature, water, standard deviation pH, total scale pH, standard deviation Alkalinity, total Alkalinity, total, standard deviation Carbon, inorganic, dissolved Carbon, inorganic, dissolved, standard deviation Partial pressure of carbon dioxide, standard deviation Aragonite saturation state Aragonite saturation state, standard deviation Carbonate system computation flag Carbon dioxide Carbon dioxide, standard deviation Fugacity of carbon dioxide water at sea surface temperature wet air Fugacity of carbon dioxide in seawater, standard deviation Bicarbonate ion Bicarbonate ion, standard deviation Carbonate ion Carbonate ion, standard deviation Calcite saturation state Calcite saturation state, standard deviation Calculated using CO2SYS Calculated using seacarb after Nisumaa et al. 2010 Calculated using seacarb after Orr et al. 2018 Ocean Acidification International Coordination Centre OA-ICC Paula, José Ricardo Baptista, Miguel Carvalho, Francisco Repolho, Tiago Bshary, Redouan Rosa, Rui Seawater carbonate chemistry and fish cognitive performance ... |
title | Seawater carbonate chemistry and fish cognitive performance ... |
title_full | Seawater carbonate chemistry and fish cognitive performance ... |
title_fullStr | Seawater carbonate chemistry and fish cognitive performance ... |
title_full_unstemmed | Seawater carbonate chemistry and fish cognitive performance ... |
title_short | Seawater carbonate chemistry and fish cognitive performance ... |
title_sort | seawater carbonate chemistry and fish cognitive performance ... |
topic | Animalia Behaviour Bottles or small containers/Aquaria <20 L Chordata Coast and continental shelf Indian Ocean Laboratory experiment Labroides dimidiatus Nekton Pelagos Single species Tropical Type Species Registration number of species Uniform resource locator/link to reference Identification Partial pressure of carbon dioxide water at sea surface temperature wet air Category Number Salinity Temperature, water Temperature, water, standard deviation pH, total scale pH, standard deviation Alkalinity, total Alkalinity, total, standard deviation Carbon, inorganic, dissolved Carbon, inorganic, dissolved, standard deviation Partial pressure of carbon dioxide, standard deviation Aragonite saturation state Aragonite saturation state, standard deviation Carbonate system computation flag Carbon dioxide Carbon dioxide, standard deviation Fugacity of carbon dioxide water at sea surface temperature wet air Fugacity of carbon dioxide in seawater, standard deviation Bicarbonate ion Bicarbonate ion, standard deviation Carbonate ion Carbonate ion, standard deviation Calcite saturation state Calcite saturation state, standard deviation Calculated using CO2SYS Calculated using seacarb after Nisumaa et al. 2010 Calculated using seacarb after Orr et al. 2018 Ocean Acidification International Coordination Centre OA-ICC |
topic_facet | Animalia Behaviour Bottles or small containers/Aquaria <20 L Chordata Coast and continental shelf Indian Ocean Laboratory experiment Labroides dimidiatus Nekton Pelagos Single species Tropical Type Species Registration number of species Uniform resource locator/link to reference Identification Partial pressure of carbon dioxide water at sea surface temperature wet air Category Number Salinity Temperature, water Temperature, water, standard deviation pH, total scale pH, standard deviation Alkalinity, total Alkalinity, total, standard deviation Carbon, inorganic, dissolved Carbon, inorganic, dissolved, standard deviation Partial pressure of carbon dioxide, standard deviation Aragonite saturation state Aragonite saturation state, standard deviation Carbonate system computation flag Carbon dioxide Carbon dioxide, standard deviation Fugacity of carbon dioxide water at sea surface temperature wet air Fugacity of carbon dioxide in seawater, standard deviation Bicarbonate ion Bicarbonate ion, standard deviation Carbonate ion Carbonate ion, standard deviation Calcite saturation state Calcite saturation state, standard deviation Calculated using CO2SYS Calculated using seacarb after Nisumaa et al. 2010 Calculated using seacarb after Orr et al. 2018 Ocean Acidification International Coordination Centre OA-ICC |
url | https://dx.doi.org/10.1594/pangaea.914654 https://doi.pangaea.de/10.1594/PANGAEA.914654 |