Mapping Potential Population-Level Pesticide Exposures in Ecuador Using a Modular and Scalable Geospatial Strategy.

agrochemicals ecosystem environmental pollution pesticides population health spatial analysis

Journal

GeoHealth
ISSN: 2471-1403
Titre abrégé: Geohealth
Pays: United States
ID NLM: 101706476

Informations de publication

Date de publication:
Jul 2023
Historique:
received: 22 12 2022
revised: 03 04 2023
accepted: 18 05 2023
medline: 10 7 2023
pubmed: 10 7 2023
entrez: 10 7 2023
Statut: epublish

Résumé

Human populations and ecosystems are extensively exposed to pesticides. Most nations lack the capacity to control pesticide contamination and have limited availability of pesticide use information. Ecuador is a country with intense pesticide use with high exposure risks to humans and the environment, although relative or combined risks are not well understood. Here, we analyzed the distribution of application rates in Ecuador and identified regions of concern because of high potential exposure. We used a geospatial analysis to identify grid cells (∼8 km × 8 km) where the highest pesticide application rates and density of human populations overlap. Furthermore, we identified other regions of concern based on the number of amphibian species as an indicator of ecosystem integrity and the location of natural protected areas. We found that 28% of Ecuador's population dwelled in areas with high pesticide application rate. We identified an area of ∼512 km

Identifiants

pubmed: 37426690
doi: 10.1029/2022GH000775
pii: GH2445
pmc: PMC10326482
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e2022GH000775

Informations de copyright

© 2023 The Authors. GeoHealth published by Wiley Periodicals LLC on behalf of American Geophysical Union.

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest relevant to this study.

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Auteurs

Federico Andrade-Rivas (F)

School of Population and Public Health The University of British Columbia Vancouver BC Canada.
Instituto de Salud y Ambiente Universidad El Bosque Bogotá Colombia.

Naman Paul (N)

School of Population and Public Health The University of British Columbia Vancouver BC Canada.
Environmental Health Services British Columbia Centre for Disease Control (BCCDC) Vancouver BC Canada.

Jerry Spiegel (J)

School of Population and Public Health The University of British Columbia Vancouver BC Canada.

Sarah B Henderson (SB)

School of Population and Public Health The University of British Columbia Vancouver BC Canada.
Environmental Health Services British Columbia Centre for Disease Control (BCCDC) Vancouver BC Canada.

Lael Parrott (L)

Department of Biology The University of British Columbia Kelowna BC Canada.
Department of Earth, Environmental and Geographic Sciences The University of British Columbia Kelowna BC Canada.
Okanagan Institute for Biodiversity, Resilience, and Ecosystem Services The University of British Columbia Kelowna BC Canada.

Jorge Andrés Delgado-Ron (JA)

School of Population and Public Health The University of British Columbia Vancouver BC Canada.
Faculty of Health Sciences Simon Fraser University Vancouver BC Canada.

Alejandra Echeverri (A)

Centre for Conservation Biology Stanford University Stanford CA USA.
The Natural Capital Project Stanford University Stanford CA USA.

Matilda van den Bosch (M)

School of Population and Public Health The University of British Columbia Vancouver BC Canada.
ISGlobal Parc de Recerca Biomèdica de Barcelona Barcelona Spain.
Universitat Pompeu Fabra Barcelona Spain.
Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP) Madrid Spain.
Department of Forest and Conservation Sciences The University of British Columbia Vancouver BC Canada.

Classifications MeSH