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TATIONpRÆSEN
2 July 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
Evaluating and managing risks posed by pesticides
Environmental and other factors
Hans Løkke
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
Outline
›Experiences from the Sahel region› PRéLISS› Mango IPM
›The DPSIR model› Drivers› Pressures› States› Impacts› Responses (management)
›Information strategies›Conclusions
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
Experiences from the Sahel region- PRéLISS›Work performed within the PRéLISS project on susstainable grasshopper regulation in Niger, Burkina Faso, Mali and Senegal
›Most pesticides are used in national arial spraying programmes conducted by Plant Directorates
›The extent of local ground based spraying is smallProgramme Régional de Lutte intégrée contre
les Sauteriaux au Sahel
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TATIONpRÆSEN
2 July 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
PRéLISS.org
Implementation of a decision support system for the control of the Senegalese grasshopper:IPM – pesticides yes/no - or - metarhizium
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
Oedaleus senegalensis
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
Migration
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
PRéLISS II› Implementation of a decision support system on the control of the Senegalese grasshopper at the Regional Centre AGRHYMET in Niger and the Plant Protection Institutes in Niger, Senegal, Burkina Faso and Mali
› Systematise the grasshopper data sampling programmes that are already carried out by the Plant Protection Institutes - the input data required by the model
› Implement a rapid electronic system to transfer sampling data and output from the decision support system
› Education and capacity building of personnel at AGRHYMET and the Plant Protection Institutes
› Dissemination of knowledge on grasshopper ecology and grasshopper control achieved during PRéLISS I and PRéLISS II
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
Modelisation
› There are three models in the decision support system:› 1. SahelEco – a complicated
ecosystem model (without GIS)
› 2. A more simple model based on the model of Launois, 1979
› 3. A strong spatial model, resolution 1 km2. Input data from satellite images
The three models have almost the same user interface
User interface
GISGrasshopper data
Model 1
Model 2
Model 3
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
Sampling of grasshopper data
Aim:› to have input data for the models of the decision support system
› to have data for validation purposes
› modify the sampling programs at the Plant Protection Institutes to provide the data required by the decision support system
Egg pod sampling
Sweep netting
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
Weaver ants as biocontrol agents in fruit trees
›Have been used in citrus in Southeast Asia for centuries
›IPM with weaver ants in mango in Australia
›A native species in Africa
›Prey on almost all insects
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
The main problem is fruit flies
›Causes enourmous losses all over tropical Africa
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
Initial results
›Very promising results from Benin – 90% reduction in pupae from mangos from ant trees
›Weaker but positive results from pilot experiments in Senegal
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
Learnings from Sahel
› Local spraying of cotton is a major problem – young people/children
used for spraying
› Pesticide containers are used for drinking water and food storage
› Need for better local organisation: Knowledge transfer from
extension services to non-educated farmers is difficult
› Limiting factors: Water, fertilisers, quality seeds, quality pesticides
› Extension services need resources (vehicles, fuel)
› Need for control of pesticide quality, and for bringing illegal
products and banned pesticides to light
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
Which international risk assessment tools are available from Europe?›New EU pesticides legislation – comprehensive regulation dealing with almost all topics from production to licensing of pesticides
›Not covering cocktail effects, combinations of pesticides and other stressors
›The principle of Integrated Pest Management is laid down, i.e. the promotion of non-chemical pest control methods such as crop rotation, to be used wherever possible as alternatives to pesticides
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
›Aerial crop spraying will in general be banned
›Special protection of the aquatic environment and drinking water ("buffer zones" or "safeguard zones“)
›Minimum use of pesticides in parks, public gardens, sports and recreation grounds, school grounds and playgrounds and in the close vicinity of healthcare facilities.
›Training of pesticide users and salespeople, on handling and storage
›Awareness-raising and inspection of pesticides application equipment.
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
US risk assessment tools
United States of America: EPA ›Regulates the use of pesticides under the authority of two federal statutes: › the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) › the Federal Food, Drug, and Cosmetic Act (FFDCA)
›– comprehensive regulations dealing with almost all topics from production to licensing of pesticides
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
DPSIR model
• Driving forces • Pressures • States • Impacts • Responses
European Environment Agency (EEA)
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
DPSIR model
›As a first step, data and information on all the different elements in the DPSIR chain is collected. Then possible connections between these different aspects are postulated. Through the use of the DPSIR modelling framework, it is possible to gauge the effectiveness of responses put into place
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
Drivers• Social and economic factors
•Growth and size of human population•Technological change•Economic growth•Political and social institutions•Culture•Knowledge and information exchange
• Agricultural area by crops (cereal, oil crops, forage, woodlands)
• Agricultural intensity • Area and use of grasslands • Irrigation of agricultural land • Climate change (temperature, humidity)
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
Pressures
• Pesticide use • Total agricultural land • Harvesting pressure• Livestock • Use of fertilisers • Introduced species and genomes
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
States
• Soil fertility • Special habitat remaining • Ecosystem quality• Number of wild species • Number of keystone species• Erosion
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
Impact
›Worker exposure›Toxic waste/obsolete pesticides›Home and personal use›Drinking water and food›Environmental impact
› husbandry› wildlife› biodiversity› ……
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
Impacts on ecosystems and biodiversity›Reduced abundancy of birds and mammal species›Impact on pollinators›Reduced soil biodiversity›Impact on plant species composition and abundance
›Loss of specialised, threatened plant species, mosses and epilithic lichens
›Loss of natural enemies of pests›Loss of molluscs, crustacean species and fishes›Fragmentation of landscape
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
Responses
›Ban of most toxic pesticides ›Warning systems and decision support systems›Crop-rotation regime determines the levels of diseases, weeds and pests
›Information strategies for presenting know-how and guidance on plant protection and risks to the environment
›Alternative methods of controlling and preventing pests
›Training in organisation and sharing of knowledge
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
Information strategies
Human health risks (direct contact, food residue intake, risks to livestock)
Safe pesticide storage and application Handling of pesticides in connection with the filling and cleaning of sprays
Environmental risks Soil and water pollution Indoor applications
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
Advanced information strategies
›Appraisal of the relationships between yield losses, time of spraying and residual concentrations in foodstuffs
›Preventive strategies through crop choice and technical factors, including the influence of fertilisation level on pests
›Population dynamics of pests in different cultivation systems/farms
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
Alternative methods of controlling and preventing pests›Resistent varieties›Biological control/pest control›Mechanical weed control›Measures to avoid seed-born diseases ›GMO crops
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
Warning systems and decision support systems
›For predicting situations in which significant attacks could develop, which should averted by spraying;
›Decision support systems, which incorporate prevention and chemical control for special crops
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
Main conclusions
Prerequisites for success of management:
›Organisation skill›Sharing of knowledge
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UNEP - PesticidesHans Løkke
2 July, 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
Conclusions on information strategy
›Elucidate methods that are considered to show special potential on a local scale
›Ensure political and economic support to the methods
›Introduce preventive and non-chemical methods of control
›Substitute with less toxic compounds›Implement information strategy and document efficiency by monitoring
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TATIONpRÆSEN
2 July 2009
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTEAARHUS UNIVERSITY
Thank you for your attention
Thanks to the PRéLISS team (preliss.org)