ArticleNPJ science of food2025
Greenhouse gas emissions reduction potential by increasing aquatic food consumption in China.
Article in NPJ science of food, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Aquatic food production plays a crucial role in ensuring global food security, improving the quality of life, and reducing greenhouse gas (GHG) emissions. In this study, we have comprehensively evaluated the GHG emissions associated with China's fisheries, considering both production and consumption. Scenario analysis was used to compare the potential of GHG emissions reduction under two conditions: maintaining current protein intake levels, and increasing the consumption of aquatic foods to align with global average. Our findings reveal that in 2020, the total GHG emissions from aquatic foods in China reached approximately 64.51 million tonnes CO
Identifiers
What OpenQuestion holds
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.