Literature DB >> 20652402

A novel method for assessing risks to pollinators from plant protection products using honeybees as a model species.

Stefania Barmaz1, Simon G Potts, Marco Vighi.   

Abstract

Pollination is one of the most important ecosystem services in agroecosystems and supports food production. Pollinators are potentially at risk being exposed to pesticides and the main route of exposure is direct contact, in some cases ingestion, of contaminated materials such as pollen, nectar, flowers and foliage. To date there are no suitable methods for predicting pesticide exposure for pollinators, therefore official procedures to assess pesticide risk are based on a Hazard Quotient. Here we develop a procedure to assess exposure and risk for pollinators based on the foraging behaviour of honeybees (Apis mellifera) and using this species as indicator representative of pollinating insects. The method was applied in 13 European field sites with different climatic, landscape and land use characteristics. The level of risk during the crop growing season was evaluated as a function of the active ingredients used and application regime. Risk levels were primarily determined by the agronomic practices employed (i.e. crop type, pest control method, pesticide use), and there was a clear temporal partitioning of risks through time. Generally the risk was higher in sites cultivated with permanent crops, such as vineyard and olive, than in annual crops, such as cereals and oil seed rape. The greatest level of risk is generally found at the beginning of the growing season for annual crops and later in June-July for permanent crops.

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Year:  2010        PMID: 20652402     DOI: 10.1007/s10646-010-0521-0

Source DB:  PubMed          Journal:  Ecotoxicology        ISSN: 0963-9292            Impact factor:   2.823


  18 in total

1.  Application and validation of approaches for the predictive hazard assessment of realistic pesticide mixtures.

Authors:  Marion Junghans; Thomas Backhaus; Michael Faust; Martin Scholze; L H Grimme
Journal:  Aquat Toxicol       Date:  2005-11-28       Impact factor: 4.964

2.  Buzziness as usual? Questioning the global pollination crisis.

Authors:  Jaboury Ghazoul
Journal:  Trends Ecol Evol       Date:  2005-07       Impact factor: 17.712

3.  Using biological traits to predict species sensitivity to toxic substances.

Authors:  Donald J Baird; Paul J Van den Brink
Journal:  Ecotoxicol Environ Saf       Date:  2006-09-22       Impact factor: 6.291

4.  Predicting pesticide environmental risk in intensive agricultural areas. II: Screening level risk assessment of complex mixtures in surface waters.

Authors:  Roberto Verro; Antonio Finizio; Stefan Otto; Marco Vighi
Journal:  Environ Sci Technol       Date:  2009-01-15       Impact factor: 9.028

5.  Establishment of a cross-European field site network in the ALARM project for assessing large-scale changes in biodiversity.

Authors:  V C Hammen; J C Biesmeijer; R Bommarco; E Budrys; T R Christensen; S Fronzek; R Grabaum; P Jaksic; S Klotz; P Kramarz; G Kröel-Dulay; I Kühn; M Mirtl; M Moora; T Petanidou; J Pino; S G Potts; A Rortais; C H Schulze; I Steffan-Dewenter; J Stout; H Szentgyörgyi; M Vighi; A Vujic; C Westphal; T Wolf; G Zavala; M Zobel; J Settele; W E Kunin
Journal:  Environ Monit Assess       Date:  2009-04-14       Impact factor: 2.513

Review 6.  Ecological vulnerability in risk assessment--a review and perspectives.

Authors:  H J De Lange; S Sala; M Vighi; J H Faber
Journal:  Sci Total Environ       Date:  2009-12-09       Impact factor: 7.963

Review 7.  Prediction of agrochemical residue data on fruit using an informatic system (PARDIS model).

Authors:  Maura Calliera; Matteo Balderacchi; Ettore Capri; Marco Trevisan
Journal:  Pest Manag Sci       Date:  2008-10       Impact factor: 4.845

8.  Joint algal toxicity of 16 dissimilarly acting chemicals is predictable by the concept of independent action.

Authors:  M Faust; R Altenburger; T Backhaus; H Blanck; W Boedeker; P Gramatica; V Hamer; M Scholze; M Vighi; L H Grimme
Journal:  Aquat Toxicol       Date:  2003-03-17       Impact factor: 4.964

9.  Risk assessment to honey bees: a scheme developed in France for non-sprayed systemic compounds.

Authors:  Anne Alix; Christine Vergnet
Journal:  Pest Manag Sci       Date:  2007-11       Impact factor: 4.845

Review 10.  A meta-analysis of bees' responses to anthropogenic disturbance.

Authors:  Rachael Winfree; Ramiro Aguilar; Diego P Vázquez; Gretchen LeBuhn; Marcelo A Aizen
Journal:  Ecology       Date:  2009-08       Impact factor: 5.499

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  2 in total

1.  Exposure of pollinators to plant protection products.

Authors:  Stefania Barmaz; Claudia Vaj; Alessio Ippolito; Marco Vighi
Journal:  Ecotoxicology       Date:  2012-07-03       Impact factor: 2.823

2.  Widespread occurrence of chemical residues in beehive matrices from apiaries located in different landscapes of Western France.

Authors:  Olivier Lambert; Mélanie Piroux; Sophie Puyo; Chantal Thorin; Monique L'Hostis; Laure Wiest; Audrey Buleté; Frédéric Delbac; Hervé Pouliquen
Journal:  PLoS One       Date:  2013-06-17       Impact factor: 3.240

  2 in total

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