Consumers mediate the effects of experimental ocean acidification and warming on primary producers


Autoria(s): Alsterberg, Christian; Eklöf, Johan S; Gamfeldt, Lars; Havenhand, Jon N; Sundbäck, Kristina; Yang, Yan
Cobertura

LATITUDE: 58.250000 * LONGITUDE: 11.450000 * DATE/TIME START: 2010-07-20T00:00:00 * DATE/TIME END: 2010-08-24T00:00:00

Data(s)

19/03/2013

Resumo

It is well known that ocean acidification can have profound impacts on marine organisms. However, we know little about the direct and indirect effects of ocean acidification and also how these effects interact with other features of environmental change such as warming and declining consumer pressure. In this study, we tested whether the presence of consumers (invertebrate mesograzers) influenced the interactive effects of ocean acidification and warming on benthic microalgae in a seagrass community mesocosm experiment. Net effects of acidification and warming on benthic microalgal biomass and production, as assessed by analysis of variance, were relatively weak regardless of grazer presence. However, partitioning these net effects into direct and indirect effects using structural equation modeling revealed several strong relationships. In the absence of grazers, benthic microalgae were negatively and indirectly affected by sediment-associated microalgal grazers and macroalgal shading, but directly and positively affected by acidification and warming. Combining indirect and direct effects yielded no or weak net effects. In the presence of grazers, almost all direct and indirect climate effects were nonsignificant. Our analyses highlight that (i) indirect effects of climate change may be at least as strong as direct effects, (ii) grazers are crucial in mediating these effects, and (iii) effects of ocean acidification may be apparent only through indirect effects and in combination with other variables (e.g., warming). These findings highlight the importance of experimental designs and statistical analyses that allow us to separate and quantify the direct and indirect effects of multiple climate variables on natural communities.

Formato

text/tab-separated-values, 1520 data points

Identificador

https://doi.pangaea.de/10.1594/PANGAEA.830714

doi:10.1594/PANGAEA.830714

Idioma(s)

en

Publicador

PANGAEA

Relação

Lavigne, Héloise; Gattuso, Jean-Pierre (2011): seacarb: seawater carbonate chemistry with R. R package version 2.4. https://cran.r-project.org/package=seacarb

Direitos

CC-BY: Creative Commons Attribution 3.0 Unported

Access constraints: unrestricted

Fonte

Supplement to: Alsterberg, Christian; Eklöf, Johan S; Gamfeldt, Lars; Havenhand, Jon N; Sundbäck, Kristina (2013): Consumers mediate the effects of experimental ocean acidification and warming on primary producers. Proceedings of the National Academy of Sciences, 110(21), 8603-8608, doi:10.1073/pnas.1303797110

Palavras-Chave #algae; Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Aragonite saturation state, standard deviation; Bicarbonate ion; Bicarbonate ion, standard deviation; Biomass, dry mass; BRcommunity; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard deviation; Chlorophyll a, areal concentration; community modeling; Dry mass; EXP; Experiment; field; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Kristineberg; mesocosms; modeling; morphology; multiple factors; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; phanerogams; primary production; Primary production of carbon; protists; Salinity; Salinity, standard deviation; sediment; temperature; Temperature, water; Temperature, water, standard deviation; Treatment
Tipo

Dataset