Evidence map›Paper›PMID 37798559›Full record

ArticleNature food2023

Optimal climate intervention scenarios for crop production vary by nation.

Brendan Clark, Lili Xia, Alan Robock, Simone Tilmes, Jadwiga H Richter, Daniele Visioni, Sam S Rabin

Abstract read
PubMed Publisher
In one paragraph

Article in Nature food, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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.

Brendan ClarkDepartment of Environmental Sciences, Rutgers University, New Brunswick, NJ, USA. bjc204@envsci.rutgers.edu.ORCID 0000-0001-8181-6287
Lili XiaDepartment of Environmental Sciences, Rutgers University, New Brunswick, NJ, USA.
Alan RobockDepartment of Environmental Sciences, Rutgers University, New Brunswick, NJ, USA.ORCID 0000-0002-6319-5656
Simone TilmesAtmospheric Chemistry, Observations, and Modeling Laboratory, National Center for Atmospheric Research, Boulder, CO, USA.
Jadwiga H RichterClimate Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO, USA.
Daniele VisioniDepartment of Earth and Atmospheric Sciences, Cornell University, Ithaca, NY, USA.ORCID 0000-0002-7342-2189
Sam S RabinDepartment of Environmental Sciences, Rutgers University, New Brunswick, NJ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stratospheric aerosol intervention (SAI) is a proposed strategy to reduce the effects of anthropogenic climate change. There are many temperature targets that could be chosen for a SAI implementation, which would regionally modify climatically relevant variables such as surface temperature, precipitation, humidity, total solar radiation and diffuse radiation. In this work, we analyse impacts on national maize, rice, soybean and wheat production by looking at output from 11 different SAI scenarios carried out with a fully coupled Earth system model coupled to a crop model. Higher-latitude nations tend to produce the most calories under unabated climate change, while midlatitude nations maximize calories under moderate SAI implementation and equatorial nations produce the most calories from crops under high levels of SAI. Our results highlight the challenges in defining 'globally optimal' SAI strategies, even if such definitions are based on just one metric.

Indexed as

Crop ProductionCrops, AgriculturalClimate ChangeTemperatureZea mays

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.