Global basin-scale mapping of pH and alkalinity in inland waters

The acidity and buffering capacity of inland waters are essential for biogeochemical processes and impose significant constraints on the distribution of freshwater species. Although many measurements exist worldwide, the data distribution is biased toward more-studied regions, and a global assessment of gradients and their spatial distribution is lacking. In the PHALK dataset, we compile alkalinity and pH values for continental surface waters worldwide, collating chemical data from 18 source databases and 55 scientific publications. A quality-control filter yielded high-quality alkalinity and pH datasets, including 50,916 and 107,896 sites, respectively. Based on the collated dataset and a random forest model, pH and alkalinity in surface waters were modeled worldwide at the basin scale (HydroBASINS v1 sub-basin level 12: 1,034,083 drainage basins) using 23 variables describing basin geological and hydrological characteristics. Each extrapolated value is accompanied by two uncertainty indicators: environmental differentiation, based on the similarity of the basin's environmental conditions to those of basins with measured data, and upscaling confidence, based on the variation in the random forest's internal bootstrap.

Authors

Institutions

Publication Details

Journal
Scientific Data
Published
2026-03-14
DOI
https://doi.org/10.1038/s41597-026-07028-2
Primary Topic
Marine and coastal ecosystems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Global basin-scale mapping of pH and alkalinity in inland waters

Meritxell Batalla, J. Martinez-Artero, Jordi Catalan
Scientific Data
Marine and coastal ecosystems
article

Global basin-scale mapping of pH and alkalinity in inland waters

Meritxell Batalla, J. Martinez-Artero, Jordi Catalan
article en

Abstract

The acidity and buffering capacity of inland waters are essential for biogeochemical processes and impose significant constraints on the distribution of freshwater species. Although many measurements exist worldwide, the data distribution is biased toward more-studied regions, and a global assessment of gradients and their spatial distribution is lacking. In the PHALK dataset, we compile alkalinity and pH values for continental surface waters worldwide, collating chemical data from 18 source databases and 55 scientific publications. A quality-control filter yielded high-quality alkalinity and pH datasets, including 50,916 and 107,896 sites, respectively. Based on the collated dataset and a random forest model, pH and alkalinity in surface waters were modeled worldwide at the basin scale (HydroBASINS v1 sub-basin level 12: 1,034,083 drainage basins) using 23 variables describing basin geological and hydrological characteristics. Each extrapolated value is accompanied by two uncertainty indicators: environmental differentiation, based on the similarity of the basin's environmental conditions to those of basins with measured data, and upscaling confidence, based on the variation in the random forest's internal bootstrap.

Scientific Data
Consejo Superior de Investigaciones Científicas (ES), Centre for Research on Ecology and Forestry Applications (ES), National Research Council (LK)
Agencia Estatal de Investigación
Life below water
Openalex Percentile: Top 23%
Marine and coastal ecosystems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.