Evidence map›Paper›PMID 39080449›Full record

ArticleScientific reports2024

Response of hypoxia to future climate change is sensitive to methodological assumptions.

Kyle E Hinson, Marjorie A M Friedrichs, Raymond G Najjar, Zihao Bian, Maria Herrmann, Pierre St-Laurent, Hanqin Tian

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Kyle E HinsonVirginia Institute of Marine Science, William & Mary, Gloucester Point, VA, 23062, USA. kyle.e.hinson@gmail.com.ORCID http://orcid.org/0000-0002-2737-2379
Marjorie A M FriedrichsVirginia Institute of Marine Science, William & Mary, Gloucester Point, VA, 23062, USA. marjy@vims.edu.ORCID https://orcid.org/0000-0003-2828-7595
Raymond G NajjarDepartment of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, PA, 16802, USA.ORCID https://orcid.org/0000-0002-2960-5965
Zihao BianSchool of Geography, Nanjing Normal University, Nanjing, China.ORCID https://orcid.org/0000-0003-2310-3662
Maria HerrmannDepartment of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, PA, 16802, USA.ORCID https://orcid.org/0000-0001-5382-5282
Pierre St-LaurentVirginia Institute of Marine Science, William & Mary, Gloucester Point, VA, 23062, USA.ORCID https://orcid.org/0000-0002-1700-9509
Hanqin TianSchiller Institute for Integrated Science and Society, Department of Earth and Environmental Sciences, Boston College, Chestnut Hill, MA, 02467, USA.ORCID https://orcid.org/0000-0002-1806-4091

Funding

United States Department of Commerce | NOAA | Center for Sponsored Coastal Ocean Research (NOAA Center for Sponsored Coastal Ocean Research) NA16NOS4780207
6 · The paper itself

Abstract

Climate-induced changes in hypoxia are among the most serious threats facing estuaries, which are among the most productive ecosystems on Earth. Future projections of estuarine hypoxia typically involve long-term multi-decadal continuous simulations or more computationally efficient time slice and delta methods that are restricted to short historical and future periods. We make a first comparison of these three methods by applying a linked terrestrial-estuarine model to the Chesapeake Bay, a large coastal-plain estuary in the eastern United States. Results show that the time slice approach accurately captures the behavior of the continuous approach, indicating a minimal impact of model memory. However, increases in mean annual hypoxic volume by the mid-twenty-first century simulated by the delta approach (+ 19%) are approximately twice as large as the time slice and continuous experiments (+ 9% and + 11%, respectively), indicating an important impact of changes in climate variability. Our findings suggest that system memory and projected changes in climate variability, as well as simulation length and natural variability of system hypoxia, should be considered when deciding to apply the more computationally efficient delta and time slice methods.

Identifiers

PMID39080449
PMCPMC11289374

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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.