Biased selection and incomplete characterization of feedstock materials in enhanced rock weathering experiments

Terrestrial Enhanced Rock Weathering (ERW) – the application of crushed rocks to soils to accelerate CO 2 removal – has emerged as a promising climate mitigation strategy to complement emission reduction efforts. One of the key factors controlling the efficacy of ERW is the composition of the utilized rock powder, ultimately constraining the achievable CO 2 removal potential and rate in a given environment. In this article, we highlight that experimental research on ERW is dominated by a narrow range of commercially available rock powders, arguably often selected more for convenience than for relevance. These materials are often poorly characterized, neglecting core methods and principles of petrography. In combination, these shortcomings are detrimental to our understanding of ERW's potential and our ability to guide its successful implementation. We call for a systematic and detailed evaluation of all potential feedstocks, going beyond readily available products. In doing so, we hope to better constrain experimental results and inform on ERW's overall CO 2 removal capacity. • Most enhanced weathering studies use a narrow range of poorly characterized rocks. • These shortcomings limit our ability to accurately assess enhanced weathering. • We call for the assessment of a wider range of rigorously characterized rock types.

Authors

Institutions

Publication Details

Journal
Applied Geochemistry
Published
2025-11-15
DOI
https://doi.org/10.1016/j.apgeochem.2025.106630
Citations
1
Primary Topic
CO2 Sequestration and Geologic Interactions
Type
article
Field-Weighted Citation Impact
0.80
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Biased selection and incomplete characterization of feedstock materials in enhanced rock weathering experiments

Xavier Dupla, Benjamin Möller
1 citations
Applied Geochemistry
CO2 Sequestration and Geologic Interactions
0.80
article

Biased selection and incomplete characterization of feedstock materials in enhanced rock weathering experiments

Xavier Dupla, Benjamin Möller
article en
1 citations

Abstract

Terrestrial Enhanced Rock Weathering (ERW) – the application of crushed rocks to soils to accelerate CO 2 removal – has emerged as a promising climate mitigation strategy to complement emission reduction efforts. One of the key factors controlling the efficacy of ERW is the composition of the utilized rock powder, ultimately constraining the achievable CO 2 removal potential and rate in a given environment. In this article, we highlight that experimental research on ERW is dominated by a narrow range of commercially available rock powders, arguably often selected more for convenience than for relevance. These materials are often poorly characterized, neglecting core methods and principles of petrography. In combination, these shortcomings are detrimental to our understanding of ERW's potential and our ability to guide its successful implementation. We call for a systematic and detailed evaluation of all potential feedstocks, going beyond readily available products. In doing so, we hope to better constrain experimental results and inform on ERW's overall CO 2 removal capacity. • Most enhanced weathering studies use a narrow range of poorly characterized rocks. • These shortcomings limit our ability to accurately assess enhanced weathering. • We call for the assessment of a wider range of rigorously characterized rock types.

Applied GeochemistryVol. 195
Planetary Science Institute (US), ETH Zurich (CH), Nano Carbon (Poland) (PL)
Openalex Percentile: Top 23%
CO2 Sequestration and Geologic Interactions
0.80
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.