DOI: 10.5061/dryad.k6djh9wk1
title: Data for: Warming enhances the effects of acidification on aquatic biota: a global meta-analysis

description: Global elevated atmospheric CO2 concentration-induced acidification poses
 a great threat to aquatic organisms worldwide. However, a comprehensive
 understanding of the response variability to acidification is still
 lacking, especially in the context of concurrent global warming.
 Addressing the response patterns of aquatic biota to acidification in the
 context of warming can facilitate the identification and prediction of
 probable consequences of global climate change. Acidification had
 a significant positive effect on primary producers and decomposers, yet a
 significant negative effect on consumers. We found that invertebrates were
 the most negatively affected of all organisms, and the marine ecosystems
 are suffering more severity of acidification than freshwater ecosystems.
 We further found that the response magnitude showed a significant dose
 effect, indicating that reducing greenhouse gas emissions would minimize
 the impact of acidification. In addition, we found that higher
 temperatures enhanced the sensitivity of primary producers to
 acidification, suggesting that global climate warming may interact with
 acidification in a synergistic way.
description: We performed a meta-analysis by synthesizing 221 studies
 containing 3669 observations to summarize the effects of
 CO<sub>2</sub> on multiple aquatic biota, including primary
 producers, consumers, and decomposers. And we further examined the effects
 of different ecosystems, experimental venue, CO<sub>2</sub>
 concentration, and ambient experimental temperature on the response
 magnitude. There were 2818 responses for primary
 producers (2696 for phytoplankton, 117 for macrophytes, and 5 for
 periphytic algae), 616 responses for consumers (357 for zooplankton, 137
 for invertebrates, and 122 for fish), and 235 responses for decomposers
 (bacteria).
description: # Data for: Warming enhances the effects of acidification on aquatic
 biota: a global meta-analysis Dataset DOI:
 [10.5061/dryad.k6djh9wk1](10.5061/dryad.k6djh9wk1) ### Files and variables
 All variables and units are included in the file named
 "Readme.csv". The missing values in the CSV file are due to the
 fact that the original source did not provide the relevant information,
 and thus, the data could not be collected. #### File:
 Meta\_Biota\_Acidification\_dryad\_data.csv The dataset comprises a total
 of 3,669 data entries derived from 221 pieces of literature collected. It
 primarily encompasses primary producers, consumers, and decomposers of
 aquatic ecosystems, and includes a total of seven aquatic taxa:
 phytoplankton, macrophytes, periphytic algae, zooplankton, invertebrates,
 fish, and bacteria. #### File: Map\_Sample.csv The dataset encompasses the
 latitudes and longitudes of experimental sites, along with the aquatic
 biota measured at each site, sourced from 221 collected literatures. It
 includes seven aquatic biota groups: phytoplankton, macrophytes,
 periphytic algae, zooplankton, invertebrates, fish, and bacteria. In the
 dataset, a value of 1 indicates that the experimental subject at the site
 is the corresponding biota group, while a value of 0 indicates that the
 experimental subject at the site is not the corresponding biota group.
 #### File: Acidification\_Code.R According to the instructions set forth
 in the provided code, the article’s outcomes can be replicated using the
 indicated version of the R software and the requisite package. ##
 Code/software R software (version 4.4.3) and the ‘metafor’ support package
 were used for statistical analysis of the data. ### Version changes
 **21-May-2025:** A 'Year' column, indicating article publication
 years, was added to the
 "Meta_Biota_Acidification_dryad_data.csv" file to facilitate
 subsequent publication bias analysis in R. The ”Map_Sample.csv“ file,
 containing the geographical coordinates of all experimental sites and
 their corresponding biota, was added. In the ”Acidification_Code.R“ file,
 annotations were added, including the installation paths for the orchaRd
 and metagear R packages.