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...

Full description

Bibliographic Details
Main Authors: Paula, José Ricardo, Baptista, Miguel, Carvalho, Francisco, Repolho, Tiago, Bshary, Redouan, Rosa, Rui
Format: Dataset
Language:English
Published: PANGAEA - Data Publisher for Earth & Environmental Science 2019
Subjects:
pH
Online Access:https://dx.doi.org/10.1594/pangaea.914654
https://doi.pangaea.de/10.1594/PANGAEA.914654
id ftdatacite:10.1594/pangaea.914654
record_format openpolar
spelling 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