Evidence map›Paper›PMID 38968200›Full record

ArticlePloS one2024

The effect of environmental variations on the production of the principal agricultural products in Colombia.

Carlos Felipe Cortés-Cataño, Yennifer Foronda-Tobón, Jairo Armando Paez-Ricardo, Jairo Enrique Parra-Herrera, Mario Julian Cañon-Ayala

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Carlos Felipe Cortés-CatañoSchool of Information and Communication Technologies, Politécnico Grancolombiano University, Bogotá, Colombia.
Yennifer Foronda-TobónSchool of Optimization, Infrastructure and Automation, Politécnico Grancolombiano University, Bogotá, Colombia.
Jairo Armando Paez-RicardoSchool of Optimization, Infrastructure and Automation, Politécnico Grancolombiano University, Bogotá, Colombia.
Jairo Enrique Parra-HerreraSchool of Optimization, Infrastructure and Automation, Politécnico Grancolombiano University, Bogotá, Colombia.
Mario Julian Cañon-AyalaSchool of Optimization, Infrastructure and Automation, Politécnico Grancolombiano University, Bogotá, Colombia.ORCID 0000-0002-0181-3156

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The agricultural sector of Colombia supports the national economy and food security due to the rich lands for cultivation. Although Colombia has a vast hydrological basin, climate change can impact agricultural productivity, generating economic and social adverse effects. For this, we evaluated the impact of some environmental variables on the production of the most sold crops using production, climatic, and hydrological data of the 1121 municipalities from 2007 to 2020. We modeled the production of coffee, rice, palm oil, sugarcane, and corn, adopting a Bayesian spatio-temporal model that involved a set of environmental variables: average temperature, minimum temperature, maximum temperature, evapotranspiration, precipitation, runoff, soil moisture, vapor pressure, radiation, and wind speed. We found that increases in the average temperatures can affect coffee (-0.2% per °C), rice (-3.76% per °C), and sugarcane (-0.19% per °C) production, meanwhile, these increases can boost palm oil (+2.55% per °C) and corn (+1.28% per °C) production in Colombia. This statement implies that the agricultural sector needs to substitute land use, promoting the production of palm oil and corn. Although our results did not find a significant effect of hydrological variables in any crop, suggesting that the abundance of water in Colombia might balance the impact of these variables. The increases in vapor pressure impact all the crops negatively (between -11.2% to -0.43% per kPa), except rice, evidencing that dry air conditions affect agricultural production. Colombia must manage the production location of the traditional products and implement agro-industrial technologies to avoid the climate change impact on crops.

Indexed as

AgricultureClimate ChangeCrops, AgriculturalBayes TheoremColombiaEnvironmentTemperature

Identifiers

PMID38968200
PMCPMC11226103

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.