ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025
Stacking Interventions Enhances Carbon Removals and Profitability of Livestock Production Systems.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Quantifying Greenhouse Gas Emissions and Carbon Footprint of Sheep Production Using the IPCC Tier 2 Approach.Animals : an open access journal from MDPI · 2026Article
- Stacking Interventions Enhances Carbon Removals and Profitability of Livestock Production Systems.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
While previous studies have primarily examined the impacts of singular interventions on GHG emissions reduction and carbon dioxide removals (CDR), few studies explore complementarities and antagonisms when multiple interventions are simultaneously operationalized. Here, the aim is to examine how stacking of two pathways for mitigation-CDR, via soil organic carbon (SOC) accrual and GHG emissions avoidance via antimethanogenic feed additives-impacts net GHG emissions associated with sheep production. A nonlinear programing approach is invoked to elicit optimal combinations of grazing management and antimethanogenic feed additives to maximize farm profit and/or minimize net GHG emissions. It is shown that stacking multiple interventions realizes that greater abatement and profit do any singular intervention. Adoption of 3-NOP feed supplement with 15- and 30-paddock high stocking rate systems is the most prospective stacked intervention for concurrent profit maximization and emissions minimization. It is contended that (1) increasing payments for farming of carbon and ecosystems services relative to that of wool and meat will stimulate participation in carbon markets, (2) economics of participation in carbon markets tend to be more favorable for larger farms than smaller farms due to economies of scale and (3) adoption of optimal grazing management and antimethanogenic feed additives can realize more profit from sheep production and carbon farming than enterprises that only derive income from sheep production.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.