Recommendations on survey implementation

Slides:



Advertisements
Similar presentations
ISPM 6: Guidelines for Surveillance
Advertisements

Existing EU Regulations concerning pesticide statistics and Latvia experience in pesticide statistics Guna Karlsone, CSB of Latvia.
1 WORLD TOURISM ORGANIZATION (UNWTO) MEASURING TOURISM EXPENDITURE: A UNWTO PROPOSAL SESRIC-UNWTO WORKSHOP ON TOURISM STATISTICS AND THE ELABORATION OF.
1 Sampling for EHES Principles and Guidelines Johan Heldal & Susie Cooper Statistics Norway.
State Plant Protection Service 26 September 2007 ISTAMBUL 2005 Transition Facility Programme PESTICIDES USE SURVEY IN LITHUANIA Danguolė Krepštulienė,
Fulfilment of requirements of the Regulation No 1185/2009 regarding agricultural and non agricultural use of pesticides in Latvia Guna Karlsone, CSB of.
Copyright 2010, The World Bank Group. All Rights Reserved. Core and Supplementary Agricultural Topics Section B 1.
NOMIRACLE, ISPRA 8-9 June Emission estimates for pesticides due to agricultural praxis Steen Gyldenkærne and Peter B. Sørensen National Environmental.
Conservation Agriculture in Vietnam Presented by Duong Ngoc Thi, Institute of Policy and Strategy for Agriculture and Rural Development.
United Nations Regional Workshop on the 2010 World Programme on Population and Housing Censuses: Census Evaluation and Post Enumeration Surveys Bangkok,
Scot Exec Course Nov/Dec 04 Survey design overview Gillian Raab Professor of Applied Statistics Napier University.
SEED PADDY PRODUCTION PROGRAME OF SRI LANKA. Why paddy seed is important Plant healthy and vigorous depend on seed quality. Directly influence to the.
Integrated Pest Management. Learning Objectives 1.Define IPM (Integrated or Insect Pest Management). 2.Describe why IPM is important. 3.Describe what.
ICON-Institute Public Sector1 The project “Pesticide indicators” and the use of PPP’s in the context of the new Regulation on PPPs Riga, July 2007.
Transition Facility Multi-Beneficiary Statistical Co-operation Programme 2005 Lot 2: Pesticide Indicators Survey on Pesticide Use on Wheat Crops.
13-Jul-07 Pesticide Usage Surveys Examples of calculations: doses – area treated.
ICON-Institute Public Sector1 Important aspects of data processing and presenting format Vilnius, 5-6 September 2007 Transition Facility Statistical Cooperation.
Istanbul 13-14th September, 2007 Marios A.Adamides Plant Health Inspection Service Dep. Of Agriculture Min. of Agriculture Cyprus Workshop on Pesticide.
Pesticide use survey in Lithuania 2007 PESTICIDES USE SURVEY IN LITHUANIA SURVEY CROP – WINTER WHEAT Danguolė Krepštulienė, Statistics Lithuania Darius.
1Your reference The Menu of Indicators and the Core Set from the South African Point of View Moses Mnyaka 13/08/2009.
Statistical Office of the Slovak Republic 1 Pesticide Indicators Pesticide Indicators Transition Facility Multi-Beneficiary Statistical Cooperation Programme.
2nd Joint Workshop on Pesticide Indicators Pesticide Usage Survey on Wheat in Hungary Zsuzsanna Szabó Hungarian Central Statistical Office September.
June 2009 Regulation on pesticide statistics Pierre NADIN ESTAT E1- Farms, agro-environment and rural development
PRIME MINISTRY REPUBLIC OF TURKEY TURKISH STATISTICAL INSTITUTE Agriculture and Environmental Statistics Department Agricultural Statistics Group 1 IMPLEMENTATION.
General features regarding Agricultural Census/ farm structure surveys in EU Presentation in a training workshop September 2011 “Preparing for Agricultural.
Lecture 5.  It is done to ensure the questions asked would generate the data that would answer the research questions n research objectives  The respondents.
AC 1.2 present the survey methodology and sampling frame used
Typical farms and hybrid approaches
Importance of statistics data for regional cooperation
EU draft Community Guide to Good Hygiene Practice for the use of animal feed in primary production « Workshop on feed safety, marketing and use of feed.
Community level data Technical session 15 Regional Roundtable on
Monitoring and Evaluation Systems for NARS Organisations in Papua New Guinea Day 3. Session 9. Periodic data collection methods.
The treatment of uncertainty in the results
Allocation of costs in complex cropping and mixed farming systems
Rudi Seljak, Aleš Krajnc
Sampling And Sampling Methods.
SAMPLING (Zikmund, Chapter 12.
Post Enumeration Survey Census
Market Research Unit 3 P3.
Business and Management Research
LIVESTOCK PRODUCTION AND PRODUCTIVITY
Multi-Beneficiary Statistical Co-operation Programme 2005
Introduction on Institutional Setting Istanbul, September 2007
Survey phases, survey errors and quality control system
Survey phases, survey errors and quality control system
Expert visit Bratislava, – Part 2
Workshop on Area Sampling Frame Key features of area sampling frame
State Plant Health and Seed Inspection Service
PESTICIDE USAGE SURVEY IN TURKEY
Crop Production and Principles
FINAL REPORT PLAN PILOT PROJECT: Transition Facility Multi-Beneficiary
The main results of the Pesticides Survey
Business and Management Research
Pesticide Usage Surveys
Albania 2021 Population and Housing Census - Plans
QUALITY MEASURES IN 2013 POPULATION AND HOUSING CENSUS
Session 4 – From pilot to regular surveys: the costs aspects Introduction: cost impact of possible design strategies Malta, January 2008 Transition.
The change of data sources in the Spanish SILC
Workshop on Pesticide Indicators
Lot 2: Agricultural and Environmental Statistics
2005 Transition Facility Programme
GUIDELINES FOR THE COLLECTION OF PESTICIDE USAGE STATISTICS A summary
5.3 Pesticides data for 2011 and the future
Sampling and estimation
Parallel Session: BR maintenance Quality in maintenance of a BR:
AEI where DG AGRI is in the lead
1st Joint Workshop Pesticides Statistics
Agricultural Methods and Pest Management
ICON-Institute Public Sector
STEPS Site Report.
Presentation transcript:

Recommendations on survey implementation Joint workshop on Pesticides Statistics Vilnius 2-3 April 2007 Recommendations on survey implementation Andrea Fais fais@inea.it

Index of the presentation General objectives The specific objectives in the BCs The surveys approach The data requirements The sample definition The questionnaire definition Discussion

Project Objectives

Institutional Arrangements

Objectives The consolidation of the administrative networks put in place in Bulgaria and Romania in 2005 for the organisation of pilot surveys on usage of plant protection products The creation of this network for Croatia and Turkey as well as the improvement of the methodology adopted

Objectives The BCs are divided in two groups Romania and Bulgaria have already developed a pilot project on plant protection products responding to the EU harmonisation process, and the main objectives are the consolidation of the administrative networks and the improvement of the methodology adopted for the pilot surveys For Croatia and Turkey, the main objective is the creation of such an administrative network. The BCs institutions involved in this project are the National Statistical Offices and the National Institutes for Plant Protection.

Objectives the contractor will assist the BCs with : the collection and definition of specific guidelines for the application of Eurostat data collection manual in each BC, with particular attention to the sampling and stratification design implementation and practical real cases of pesticides usage data collection Training and supervision of pilot projects during workshops and expert missions An helpdesk with the experts to support BCs upon request, and a FAQ (Frequently Asked Question) open space on CIRCA

Objectives For Croatia and Turkey the aims will also be: to clarify the distribution of responsibilities concerning pesticides usage statistics, and to identify the needs for improvement; to support the definition of an administrative structure; to design the sampling plan, according to the availability of a farm register list or register; the development of pilot surveys on the use of plant protection products on wheat, potatoes and 3 other crops to be selected from field vegetables, crops under glass and bush fruit.

Objectives For Bulgaria and Romania definition of the stratification and sample design, and the sample unit identification; definition of the statistical errors analysis and the expected precision of the final results will be also taken into account; possible links with other statistical surveys and data set, such as FADN sample and LPIS-Farm Register system, in order to define a farm sample parcel identification system Definition of error analysis, representativeness level, the quality and quantity of data

Pesticide Indicators

Surveys Approach - Methods of collection Methods of collection already in use within the European Union, requiring differing levels of input and organisation: resources and requirements: 1. Personal visits to a representative sample of farmers and growers to collect information on what they have used (Information is collected on the pesticides applied to specific crops over the previous growing season or year from a statistically derived, representative sample of farmers and growers)

Surveys Approach - Methods of collection 2. Telephone interviews with a representative sample of farmers and growers (reduce the cost of survey: similar in structure to personal interviews, but avoiding the time and cost of travel) Postal surveys of a representative sample of farmers and growers; Compulsory returns of pesticide use from all farmers and growers; Alternatives to surveys of usage - collation of sales statistics Farmers more conscientious or carrying out “good farming practice, or in confidence relationship with the national statistics institutions/enumerators

Surveys Approach Personal visits to a representative sample of farms good accuracy, but with trained personnel: the surveyor can go through all the potential uses, ensuring that the grower does not omit or forget anything important (many growers consider pesticides only insecticides) it allows all the relevant crops to be surveyed on a single farm without over-complicating the survey well-structured form farmers forewarned of the visit to assemble information

Surveys Approach Telephone interviews Not over-complicated, not attempting to cover all the cropping per farm and call (covering only the largest field of each crop) An informative letter, giving some indication of the structure the interview should precede calls Trained personnel using a structured questionnaire The differences in results between personal visits and telephone interviews statistically of different importance, on the basis of the training/skill level of the interviews (information required not over complex), and the socio-economic/cultural/confidence with surveyors/Institutions level of the rural population in each country

Crops to be surveyed all agricultural and horticultural sectors should be surveyed, it is more often in the minor sectors or uses where problems may occur, but it’s too expensive for some countries crops should be selected on the basis of the majority of pesticide use within each country: those grown most plus and those receiving the most treatments, by area treated, weight applied and rate of application also the level of risk (environmental and food safety) per pesticide and crop should be taken into account

Frequency of surveys surveys should ideally be undertaken annually, but it is currently unrealistic to expect annual surveys of all crops in all countries if annual surveys are not possible, important crops should be surveyed at least biennially; an annual programme should be followed for those crops where usage is most important where surveys are not undertaken annually: differences in weather patterns between years may have a greater effect on usage until a sequence of surveys have been undertaken it would be unwise to explain changes between two surveys as the result of any simple factor

Data requirements (1) There are a minimum number of parameters that need to be collected in order to make any survey effective: the crop and its area grown (national estimates of usage): a record of crop with pesticide applications (winter or spring/summer crop); developmental stages of a crop (avoid “double counting”: e.g. multiple cropping);

Data requirements (2) the product and rate of application or amount used and the area treated: establish the active substance(s), and also their formulation. Different formulations of the same pesticide may have different impacts; growers may only know the product name, rarely the active substance(s) care must be taken with prefixes and suffixes to product names, which often indicate very different constituents with small changes in name Seed treatments information from the merchant or supplier

Data requirements (3) rate of application or amount used (litres or kilograms of product per he): the rate of application is crucial to estimating the total amount of pesticide used the total amount used and the area treated to derive the rate of application when the grower is unsure of the rate: recording the actual amount used and the area treated for later calculation of rate. Acceptable: to record the grower’s known level of application, e.g. “½ or ¾ label recommended rate” (calculation of a rate from a knowledge of the pesticide’s own label recommendations)

Data requirements (4) area treated: per each pesticide application: this may not necessarily be the same as the area of crop grown (part-field treatments for specific localised weed or pest problem; preventing application within a certain distance of a watercourse, hedge etc,) biological control methods: include preparations of fungal, viral and bacterial agents, and natural predators and parasites. Area of crop “treated” for each introduction (number of treatments), should be collected as if they were pesticide applications •timing (date of application): perhaps the least essential, but surely useful to many aspects of analysis. It will allow the quantify the number of sprays and to separate sprays applied on separate occasions from those applied together

Sample Selection Knowledge of the true population (Census or farm structure survey) Regional differences in climate, pest and disease pressure, farming intensity and general farm practice: significant regional differences in pesticide use even on the same crop. Thus, sampling should initially be stratified by region (FADN) soil types vary regionally which may particularly influence pesticide use country divided into areas of similar agro-environmental characteristics

Sample Selection The sampling unit may be: a farm (and all its crops, or the largest field of each crop); the size influence the degree of pesticide use, samples stratified by farm size group within region larger farms (trained personnel): reduced rates when pest pressure is low, aware of newer products or methods of pest control Farm size group on the basis of Type of farming and ESU a single crop on a farm (entire area of crop); farms should be selected at random within any regional stratification for each crop to be surveyed a field of a particular crop: a random sample of fields should be selected, within any regional stratification a field: the fields should be selected at random, within any regional stratification

Survey period The survey period should all pesticide applications on the basis of the crop grown (survey year is always considered to be the year in which the harvest was taken) In the winter crops pre-drilling treatments and post-harvest treatments to control weeds: not to omit both or include both For short-term (horticulture), the optimum period may be influenced by the seasonality of other crops within the same survey Perennial crops: a period commencing after the end of harvest in one year through to the end of harvest in the following year.

Other information Variety N° of treatments Target species, pest or weed(s), disease or range of diseases Crop rotation Sowing date & harvest date

Recommendations Trained and skilled surveyors body Plant Protection Institutes involvement Questionnaire as simple as possible Confidence and continuous relationship with the farmers sampled Links with FADN and IACS-LPIS data banks Do not assume: sales = usages