A near-global dataset of dissolved organic carbon concentrations and yields in forested headwater streams

The lateral transport of dissolved organic carbon (DOC) from terrestrial uplands to aquatic ecosystems, particularly headwater streams, plays a critical role in linking terrestrial and aquatic carbon cycles, but its spatial distribution and magnitude at the global scale remain highly uncertain. Here, we compiled 20,403 field-based DOC concentration measurements and modeled them against catchment properties to generate monthly predictions across over 90,000 forested catchments (30°S-70°N). These models explain between 64% and 90% of the total variability in DOC concentrations (R<sup>2</sup> values from predictions versus withheld observations), revealing previously unrecognized hotspots of terrestrial-aquatic carbon transfer. By coupling these predictions with a physically-based hydrological routing scheme (HydroBASINS database), we provide the first catchment-resolved estimates of DOC yields. This dataset represents a valuable resource for the carbon-cycle community, supporting the validation of terrestrial biosphere models and cross-checking of datasets.

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Publication Details

Journal
Scientific Data
Published
2026-01-06
DOI
https://doi.org/10.1038/s41597-025-06522-3
Primary Topic
Marine and coastal ecosystems
Type
article
Field-Weighted Citation Impact
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article

A near-global dataset of dissolved organic carbon concentrations and yields in forested headwater streams

Haiping Tang, Ruiying Chang, Dong Liu
Scientific Data
Marine and coastal ecosystems
article

A near-global dataset of dissolved organic carbon concentrations and yields in forested headwater streams

Haiping Tang, Ruiying Chang, Dong Liu
article en

Abstract

The lateral transport of dissolved organic carbon (DOC) from terrestrial uplands to aquatic ecosystems, particularly headwater streams, plays a critical role in linking terrestrial and aquatic carbon cycles, but its spatial distribution and magnitude at the global scale remain highly uncertain. Here, we compiled 20,403 field-based DOC concentration measurements and modeled them against catchment properties to generate monthly predictions across over 90,000 forested catchments (30°S-70°N). These models explain between 64% and 90% of the total variability in DOC concentrations (R<sup>2</sup> values from predictions versus withheld observations), revealing previously unrecognized hotspots of terrestrial-aquatic carbon transfer. By coupling these predictions with a physically-based hydrological routing scheme (HydroBASINS database), we provide the first catchment-resolved estimates of DOC yields. This dataset represents a valuable resource for the carbon-cycle community, supporting the validation of terrestrial biosphere models and cross-checking of datasets.

Scientific DataVol. 13(1)
Chinese Academy of Sciences (CN), Chinese Academy of Surveying and Mapping (CN), Institute of Mountain Hazards and Environment (CN), Institute of Geographic Sciences and Natural Resources Research (CN)
Life in Land
Openalex Percentile: Top 97%
Marine and coastal ecosystems
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