Role of land use and land cover in residential exposures to agricultural pesticide models.

Exposure of the general population to pesticides, especially in agricultural areas, is a major public health concern. This review analyses the role of Land Use and Land Cover (LULC) in Residential Exposure to Agricultural Pesticides (REAP) and how it is measured and modelled. Some epidemiological st...

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Publicado en:International Journal of Environmental Health Research Vol. 32; no. 2; pp. 355 - 377
Autores principales: Vannier, Clémence, Chevrier, Cécile, Hubert-Moy, Laurence
Formato: research systematic review tables/charts Journal Article
Publicado: Taylor & Francis Ltd Feb 2022
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Feb 2022
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      pub: Taylor & Francis Ltd
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        10.1080/09603123.2020.1759029
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        atl: Role of land use and land cover in residential exposures to agricultural pesticide models.
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          Vannier, Clémence
          Chevrier, Cécile
          Hubert-Moy, Laurence
        affil: Univ Rennes, CNRS, LETG - UMR 6554, Rennes, France
      sug:
        subj:
          Agriculture
          Pesticides Adverse Effects
          Occupational Exposure Risk Factors
          Environmental Exposure Risk Factors
          Neighborhood Characteristics
          Human
          Scoping Review
          Public Health
          Geographic Factors
          Geographic Information Systems
      ab: Exposure of the general population to pesticides, especially in agricultural areas, is a major public health concern. This review analyses the role of Land Use and Land Cover (LULC) in Residential Exposure to Agricultural Pesticides (REAP) and how it is measured and modelled. Some epidemiological studies have shown that basic LULC variables, such as distance to a crop and field size, are relevant for explaining REAP. However, the potential of LULC mitigation elements, such as vegetation barriers, grassy strips and buffer zones, to mitigate REAP has been poorly studied. The availability of recent low-cost and high-quality geospatial data enables REAP models to include alternative and more precise LULC variables. This review also highlights the need for (i) generic environmental sampling protocols, (ii) exposure and spraying datasets and (iii) assessment of the mitigation capacity of LULC to improve REAP modelling significantly.
      pubtype: Academic Journal
      doctype:
        research
        systematic review
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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