2020 journal article

Bayesian mechanistic modeling characterizes Gulf of Mexico hypoxia: 1968-2016 and future scenarios

ECOLOGICAL APPLICATIONS, 30(2).

author keywords: Bayesian inference; climate change; dead hypoxic zones; eutrophication; Gulf of Mexico; hindcasts and projections; process-based modeling; riverine nitrogen; uncertainty quantification
MeSH headings : Bayes Theorem; Ecosystem; Environmental Monitoring; Gulf of Mexico; Humans; Hypoxia; Oxygen
TL;DR: New geostatistical estimates of hypoxia derived from nearly 150 monitoring cruises and a process-based model are used to improve characterization of controlling mechanisms, historic trends, and future responses of Hypoxia while rigorously quantifying uncertainty in a Bayesian framework. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: December 16, 2019

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