meta-analysis
2 stories filed under meta-analysis on World Data Ocean. The newest of them: “Measuring Blue Bioeconomy rigor reveals critical data gaps and methodological divides” and “Water-Saving Irrigation: A Meta-Analysis of Greenhouse Gas Impacts Across China”. A pooled efficiency score of 0.74 across 30 global studies sounds promising, until you see the cracks. Irrigation choices are not neutral acts in the field; they are biogeochemical switches. A Global Hub for Ocean Intelligence 4 World Data Ocean is a centralized digital platform where researchers, scientists, and ocean enthusiasts converge to… The list below is every meta-analysis story on World Data Ocean, newest first.
Measuring Blue Bioeconomy rigor reveals critical data gaps and methodological divides
A pooled efficiency score of 0.74 across 30 global studies sounds promising, until you see the cracks. This meta-analysis reveals that methodological choices like DEA or SFA barely matter. What drives variation is sector taxonomy, accounting for 65.57% of heterogeneity. High-tech marine biotech and renewables lead; small-scale fisheries lag. We cannot measure what we do not integrate. Future assessments must embed natural-capital metrics. Our recent coverage of "Validated currents: AI data centres probe ocean energy potential" shows how technology is already pushing these boundaries.
Water-Saving Irrigation: A Meta-Analysis of Greenhouse Gas Impacts Across China
Irrigation choices are not neutral acts in the field; they are biogeochemical switches. Our meta-analysis of 76 studies across China confirms this, showing water-saving regimes trigger a distinct divergence: methane is suppressed, nitrous oxide is promoted, and carbon dioxide sees minor mitigation. Intermittent irrigation drives these effects most intensely. The real insight is that soil pH and regional hydroclimate, not just the technology, dictate the outcome. This coupling demands we move beyond one-size-fits-all policy.