Evidence map›Paper›PMID 39928599›Full record

ArticlePloS one2025

The impact of climate variability on agricultural employment in Mexico from 1980-2017.

Karla Arlae Sánchez Guijosa, Guillermo Murray-Tortarolo, Mario Martínez Salgado

Abstract read
In one paragraph

Article in PloS one, 2025. 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Karla Arlae Sánchez GuijosaInstituto de Investigaciones en Ecosistemas y Sustentabilidad, Universidad Nacional Autónoma de México (UNAM), Morelia, Michoacán, Mexico.ORCID 0009-0009-8613-7174
Guillermo Murray-TortaroloInstituto de Investigaciones en Ecosistemas y Sustentabilidad, Universidad Nacional Autónoma de México (UNAM), Morelia, Michoacán, Mexico.
Mario Martínez SalgadoUnidad de Investigación sobre Representaciones Culturales y Sociales, Universidad Nacional Autónoma de México (UNAM), Morelia, Michoacán, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Employment in the agricultural sector is highly dependent on climate. Most agricultural jobs worldwide rely on predictable precipitation, in terms of both quantity and seasonality. Mexico is a largely agrarian country, with at least 20 million people directly reliant on food production for the livelihoods. However, research on the relationship between climate variability and agrarian employment is limited in the nation, complicating the development of effective adaptation strategies to drought and climate change. This study aims to address this gap, by analyzing the employment changes of farmers and livestock producers at a national level in the past five decades (1980 to 2017) and its relationship to long-term precipitation variability. We employed governmental datasets from national agrarian surveys and national precipitation, both at the annual scale and seasonally within each year. We found a negative relationship between agricultural employment and total annual precipitation. In particular, employment in the livestock sector showed a negative correlation with current-year precipitation (p = 0.06, cor = -0.33), while employment in rainfed agriculture was linked to the previous year's rainfall (p = 0.07, cor = -0.33). It is likely that this pattern was driven by the positive relationship of precipitation with planted cropland area (p<0.05, cor = 0.19) and agrarian income (p<0.05, cor = 0.18). We also found that as many as 10 million people left the agrarian employments each year during the dry season. Finally, as precipitation continues to pose a challenge, it may have contributed to people of ages 23 to 35 to leave in recent years, compared to 15 and 19 in the 1990s. These findings underscore the need for national policies to mitigate the impacts of dry years on livelihoods and to inform strategies for building resilience in the agricultural sector.

Indexed as

AgricultureClimate ChangeEmploymentAnimalsFarmersHumansLivestockMexicoRainSeasons

Identifiers

PMID39928599
PMCPMC11809791

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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.