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...
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ftdatacite:10.1594/pangaea.914654 2023-05-15T17:50:41+02:00 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 - Data Publisher for Earth & Environmental Science 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 CC-BY 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 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.914654 https://doi.org/10.1098/rsbl.2019.0618 https://doi.org/10.6084/m9.figshare.9101993 2022-02-08T12:42:49Z 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 performance is strong. However, the apparent absence of high CO2 tolerant fish, and potentially synergistic effects between various climate change stressors, renders the probability of further adaptation unlikely. : 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 Metadata Store (German National Library of Science and Technology) Indian |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
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 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 |
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 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 |
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 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 |
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 performance is strong. However, the apparent absence of high CO2 tolerant fish, and potentially synergistic effects between various climate change stressors, renders the probability of further adaptation unlikely. : 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 |
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 |
title |
Seawater carbonate chemistry and fish cognitive performance |
title_short |
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_sort |
seawater carbonate chemistry and fish cognitive performance |
publisher |
PANGAEA - Data Publisher for Earth & Environmental Science |
publishDate |
2019 |
url |
https://dx.doi.org/10.1594/pangaea.914654 https://doi.pangaea.de/10.1594/PANGAEA.914654 |
geographic |
Indian |
geographic_facet |
Indian |
genre |
Ocean acidification |
genre_facet |
Ocean acidification |
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 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1594/pangaea.914654 https://doi.org/10.1098/rsbl.2019.0618 https://doi.org/10.6084/m9.figshare.9101993 |
_version_ |
1766157556551516160 |