Evidence map›Paper›PMID 32307681›Full record

ArticleEnvironmental science and pollution research international2020

Assessment of intensive agriculture on water quality in the Culiacan River basin, Sinaloa, Mexico.

Kimberly Mendivil-Garcia, Leonel Ernesto Amabilis-Sosa, Abraham Efraim Rodríguez-Mata, Jesús Gabriel Rangel-Peraza, Victor Gonzalez-Huitron, Cinthia Isabel Guadalupe Cedillo-Herrera

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Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Kimberly Mendivil-GarciaTecnológico Nacional de México/I.T. Culiacán, División de estudios de Posgrado e Investigación, Av. Juan de Dios Batiz, No. 310, Culiacán, México.
Leonel Ernesto Amabilis-SosaCONACYT- Tecnológico Nacional de México/I.T. Culiacán, Av. Juan de Dios Batiz, No. 310, Culiacán, México. leoamabilis@yahoo.com.mx.
Abraham Efraim Rodríguez-MataCONACYT- Tecnológico Nacional de México/I.T. Culiacán, Av. Juan de Dios Batiz, No. 310, Culiacán, México.
Jesús Gabriel Rangel-PerazaTecnológico Nacional de México/I.T. Culiacán, División de estudios de Posgrado e Investigación, Av. Juan de Dios Batiz, No. 310, Culiacán, México.
Victor Gonzalez-HuitronCONACYT- Tecnológico Nacional de México/I.T. Culiacán, Av. Juan de Dios Batiz, No. 310, Culiacán, México.
Cinthia Isabel Guadalupe Cedillo-HerreraTecnológico Nacional de México/I.T. Culiacán, División de estudios de Posgrado e Investigación, Av. Juan de Dios Batiz, No. 310, Culiacán, México.

Funding

Cátedras CONACyT 2014 Ref. 2572CONACyT Problemas Nacionales 2017-5020
6 · The paper itself

Abstract

The percentage of agricultural land cover effect on water quality in Culiacan River basin is studied in this research. The basin contains only intensive cropland as primary economic activity with 60% of the total area. Mathematical relationships between percentages of cropland and total phosphorus (TP) and total nitrogen (TN) concentrations were established. Sampling sites in middle and lower basin and water quality information during 2013-2018 were considered, and percentages of cropland were obtained by geospatial methods including variable area buffers. During rainy season, coefficients of determination were less than 0.2, although quantified nutrient concentration was higher, related to point sources of pollution in the basin. During dry season, coefficients of determination were higher than 0.76 and 0.90 for TN and TP, respectively, with an exponential mathematical trend. Results suggest that intensive agriculture practices generate accelerated loss of soil consolidation, which is transported to water bodies. These soils are in continuous contact with fertilizers and pesticides, mostly organophosphates which have been transported by runoff and underground flows. Using the information generated will help to establish environmental management plans, and to improve environmental diagnosis and effect in countries where there is not enough historical cartographic information and/or water quality data.

Indexed as

Water QualityAgricultureEnvironmental MonitoringMexicoNitrogenPhosphorusRiversWater Pollutants, ChemicalNitrogenPhosphorusWater Pollutants, ChemicalCroplandEutrophicationLand useWater qualityWatershed

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Registered trials

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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.