Evidence map›Paper›PMID 39912567›Full record

ArticleThe British journal of social psychology2025

Sowing seeds for the future: Future time perspective and climate adaptation among farmers.

C Dale Shaffer-Morrison, Naseem H Dillman-Hasso, Robyn S Wilson

Abstract read
In one paragraph

Article in The British journal of social psychology, 2025. 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

3 authors.

C Dale Shaffer-MorrisonDepartment of Psychology, University of Essex, Essex, UK.ORCID https://orcid.org/0000-0002-2467-9244
Naseem H Dillman-HassoSchool of Environment and Natural Resources, The Ohio State University, Columbus, Ohio, USA.ORCID https://orcid.org/0000-0002-8284-4383
Robyn S WilsonSchool of Environment and Natural Resources, The Ohio State University, Columbus, Ohio, USA.ORCID https://orcid.org/0000-0002-0092-9632

Funding

National Institute of Food and AgricultureNational Science Foundation
6 · The paper itself

Abstract

A future time perspective is critical to domains where outcomes of choices are delayed and potentially catastrophic: such as with agriculture where management decisions today are critical to the viability of multiple outcomes in the future. Farmers are on the front lines of climate change where shifts in rainfall and temperature threaten the viability of crop production. This reality is compounded for some farmers who lack the resources needed to adapt. Prior work has shown that farmers with strong injunctive norms towards conservation, and sufficient resources, are more likely to implement adaptation practices, but little research has explored the role of future time perspectives relative to these factors. We test whether future time perspective may lead US Midwestern farmers to develop injunctive norms towards conservation, and in turn, implement adaptation practices. We find support for this mechanism through both a correlational analysis (Study 1), and a manipulation of the salience of future impacts through a vignette experiment (Study 2). In addition, we see that some socioeconomic resources constrain adaptation. These results are relevant to regions where greater adaptation practices are needed to protect against climate impacts on operations that produce row crops like corn, soy and wheat.

Indexed as

AgricultureClimate ChangeFarmersAdultFemaleHumansMaleMidwestern United StatesTime Factorsclimate adaptationconservationist normsfuture time perspectives

Identifiers

PMID39912567
PMCPMC11800754

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.