Review and Improvements of Existing Delimitations of Rural Areas in Europe

This report aims to improve current delimitations of rural areas in Europe as a support to statistical descriptions by introducing the criteria of peripherality/remoteness and ¿natural(non-artificial) area¿ in the Organisation for Economic Co-operation and Development (OECD) typology. In 1994, the OECD developed an easy concept to identify rural and urban areas based on the population density of a geographical unit. This scheme proved to be highly sensitive to the size of the geographical area and the classification of the thresholds. Over the years, endeavours have been made to review and improve the OECD approach and also alternative methodologies have been proposed. The current methods based solely on population distributions, do not allow for detailed and quantified geographical analysis and do not reflect two main characters differentiating rural from urban areas: the ¿natural¿ (non-artificial) surface and the accessibility/remoteness. In this study, a new rural typology has been developed by integrating the peripherality index and the land cover indicator in the OECD methodology. The analyses were carried out at Local Administrative Unit (LAU) 2 and NUTS3 level for 3 Member States (Belgium, France and Poland). The resulting rural typology classes for LAU2 are ¿rural-peripheral¿, ¿rural-accessible¿, ¿urban-open-space¿ and ¿urban-closed space¿. The typology at regional level (NUTS3) does not provide an accurate picture of the rurality. The methodology applied is flexible and the thresholds of accessibility or land cover implemented can easily be modified to fit-for-purpose. Simple queries were applied with standard procedures using Pan-European homogeneous datasets so as to allow to upscale for assessment at European level.JRC.H.5-Rural, water and ecosystem resource

Community Targeting for Poverty Reduction in Burkina Faso.

The paper develops a method for targeting anti-poverty programs and public projects on poor communities in rural and urban areas. The method is based on the application of an extensive data-set from a large number of sources and the integration of the entire data-set in a Geographical Information System. This data-set includes data from the population census, household-level data from a variety of surveys, community-level data on the local road infrastructure, public facilities, water points, etc., and department-level data on the agro-climatic conditions. An econometric model that estimates the impact of household-, community-, and department-level variables on households’ consumption has been used to identify the key explanatory variables that determine the standard of living in rural and urban areas. This model was applied to predict poverty indicators for 3871 rural and urban communities across the country and to provide a mapping of the spatial distribution of poverty in Burkina Faso. Simulation analysis was subsequently conducted to assess the effectiveness of village-level targeting based on these predictions of the poverty indicators. The results show that village-level targeting based on these predictions provides an improvement over regional targeting by reducing the leakage of the targeted program and the percentage of the population that remains undercovered

Validation and Improvement of High Nature Value Farmland Identification - National Approach in the Walloon Region in Belgium and in the Czech Republic

The concept of High Nature Value (HNV) farmland has been evolving over the last fifteen years in Europe. In the European Union this has been closely linked to the aim of integrating environmental concerns in the Common Agricultural Policy. The idea that nature values, environmental qualities, even cultural heritage are linked to or dependent on farming, also underlies and supports the concept of a multifunctional 'European model of farming which provides benefits beyond food production. The objective of this study is to better identify and characterise HNV farmland at national level (the Walloon Region in Belgium) with a Farm System Approach based on FSS statistical data and specific national surveys, taking into account the whole farm with the total agricultural area and its characteristics. The methodology is built on two different approaches: the natural zones approach and the farm system approach. The natural zones approach uses spatial data to define agricultural zones with a verified high biodiversity interest, based on a reference biodiversity layer for the Walloon Region (WR) called the principal ecological structure (SEP). The farm system approach analyses the farm structure and farming practices on the basis of data available in the WR agricultural database. In the first step relevant variables have been selected to calculate the HNV indicators for the farm system approach at NUTS 5 level: 1) crop diversity and grassland presence, 2) extensive practices, and 3) landscape elements. In the second step the three indicators were combined to calculate the HNV score. In the third step the areas delimited through the farm system approach were overlaid with a map resulting form the natural zones approach. In the last step HNV farmland was analysed with regard to prevailing trends in farming practices and production types with the aim of identification of farming systems which might be associated with HNV farmland occurrence in the WR in Belgium. The analysis of spatial distribution of HNV farmland delimited in the study shows that 91% of the HNV farm system zone identified in the study is located in Ardenne, Fagne and Fammenne. The dominant farming system types are grazing livestock system specialised in milk or meat production, depending on the region. The average livestock density is less than 2.0 LU/ha. Over 60% of UAA is used as permanent grassland. The strength of the Farm System Approach methodology is the possibility of producing a map at the NUTS 5 level with an accurate description of the farm systems. The methodology can be improved by crosschecking the results with regional experts and getting feedback on the thresholds and the weighting of the indicators. The weaknesses of the Farm System Approach methodology are mainly due to the way agricultural practices are modelled. The lack of comprehensive and reliable data on landscape elements and grassland management hampers further validation of HNV farmland identification results. A development of additional relevant surveys is therefore recommended. An attempt at assessing the applicability of the FSA for HNV farmland identification was undertaken for the Czech Republic. Statistical data on farming practices are still incomplete and insufficient to build the methodology similar to the Walloon Region FSA. Conversely, biodiversity and habitat data are abundant and of high quality and currently are the best datasets for HNV farmland identification in the Czech Republic.JRC.H.5-Rural, water and ecosystem resource

Delimitations of Rural Areas in Europe Using Criteria of Population Density, Remoteness and Land Cover

This report aims to improve current delimitations of rural areas in Europe as a support to statistical descriptions by introducing the criteria of peripherality/remoteness and ¿natural (non-artificial) area¿ in the Organisation for Economic Co-operation and Development (OECD) typology. In 1994, the OECD developed an easy concept to identify rural and urban areas based on the population density of a geographical unit. This scheme proved to be highly sensitive to the size of the geographical area and the classification of the thresholds. Over the years, endeavours have been made to review and improve the OECD approach and also alternative methodologies have been proposed. The current methods based solely on population distributions, do not allow for detailed and quantified geographical analysis and do not reflect two main characters differentiating rural from urban areas: the ¿natural¿ (non-artificial) surface and the accessibility/remoteness. In this study, a new rural typology has been developed by integrating the peripherality index and the land cover indicator in the OECD methodology. The analyses were carried out at Local Administrative Unit (LAU 2) level for EU-27and then aggregated at NUTS3 and NUTS2.The methodology applied is flexible and the thresholds of accessibility or land cover implemented can easily be modified to fit-for-purpose.JRC.H.5-Rural, water and ecosystem resource

Forest Focus Monitoring Database System - Technical Report 2006 Level II Data

Forest Focus (Regulation (EC) No 2152/2003) is a Community scheme for harmonized, broadbased, comprehensive and long-term monitoring of European forest ecosystems. Under this scheme the monitoring of air pollution effects on forests is carried out by participating countries on the basis of the systematic network of observation points (Level I) and of the network of observation plots for intensive and continuous monitoring (Level II). According to Article 15(1) of the Forest Focus Regulation Member States shall annually, through the designated authorities and agencies, forward to the Commission geo-referenced data gathered under the scheme, together with a report on them by means of computer telecommunications and/or electronic technology. For managing the data JRC has implemented a Forest Focus Monitoring Database System. This Technical Report presents the results obtained from all processing stages (data reception, validation checks ¿ compliance, conformity, uniformity) for submitted data referring to the monitoring year 2006. This report presents the results at the end of the processing phase after data have been re-submitted in 2007 and 2008. It presents in addition a brief comment on the data status for each NFC, for the reporting year, with respect to the parameter assessed and including analyses of spatial variability of data and temporal trends of parameters.JRC.H.7-Land management and natural hazard

Forest Focus Monitoring Database System - Technical Report 2001 Level II Data

Forest Focus (Regulation (EC) No 2152/2003 ) is a Community scheme for harmonised, broad-based, comprehensive and long-term monitoring of European forest ecosystems. It concentrates in particular on protecting forests against air pollution and fire. To supplement the monitoring system, Forest Focus stipulates the development of new instruments relating to soil monitoring, carbon sequestration, biodiversity, climate change and protective functions of forests. Under this scheme the monitoring of air pollution effects on forests is carried out by participating countries on the basis of the systematic network of observation points (Level I) and of the network of observation plots for intensive and continuous monitoring (Level II). The monitoring activity continues from the network and plots established and implemented under Council Regulation (EEC) No 3528/86 .and Regulations (EEC) No 1696/87 and (EC) No 1091/94 . The monitoring programme of air pollution effects is linked to International Cooperative Programme on Assessment and Monitoring of Air Pollution Effects on Forest (ICP Forests). ICP Forests reports to the working Group on Effects of the Convention of the Long-Range Trans-boundary Air Pollution (CLRTAP) of the United Nations Economic Commission for Europe (UN-ECE). Forest Focus Article 15(1) stipulates that the Member States shall annually, through the designated authorities and agencies, forward to the Commission geo-referenced data gathered under the scheme, together with a report on them by means of computer telecommunications and/or electronic technology. For managing the data DG JRC has implemented a Forest Focus Monitoring Database System. The system was developed and realized under contract by a Consortium, coordinated by I-MAGE Consult with Nouvelles Solutions Informatiques s.a. (NSI) as consortium partner and the Bundesforschungsanstalt für Forst- und Holzwirtschaft (BFH) as sub-contractor. The designated authorities and agencies submitted annually to DG Joint Research Centre of the European Commission their observations made on the network of observation plots for intensive and continuous monitoring (Level II). Data are submitted via a Web-Module specifically designed for the task as part of the Forest Focus Monitoring Database System.JRC.DDG.H.7-Land management and natural hazard

Forest Focus Monitoring Database System - Technical Report 2005 Level II Data

Forest Focus (Regulation (EC) No 2152/2003) is a Community scheme for harmonized, broad-based, comprehensive and long-term monitoring of European forest ecosystems. Under this scheme the monitoring of air pollution effects on forests is carried out by participating countries on the basis of the systematic network of observation points (Level I) and of the network of observation plots for intensive and continuous monitoring (Level II). According to Article 15(1) of the Forest Focus Regulation Member States shall annually, through the designated authorities and agencies, forward to the Commission geo-referenced data gathered under the scheme, together with a report on them by means of computer telecommunications and/or electronic technology. For managing the data JRC has implemented a Forest Focus Monitoring Database System. This Technical Report presents the results obtained from all processing stages (data reception, validation checks ¿ compliance, conformity, uniformity) for submitted data referring to the monitoring year 2005. This report presents the results at the end of the processing phase after data have been re-submitted in 2007. It presents in addition a brief comment on the data status for each NFC, for the reporting year, with respect to the parameter assessed and including analyses of spatial variability of data and temporal trends of parameters.JRC.DDG.H.7-Land management and natural hazard

Forest Focus Monitoring Database System - Executive Summary Report 2006 Level II Data

Forest Focus (Regulation (EC) No 2152/2003) is a Community scheme for harmonized, broad-based, comprehensive and long-term monitoring of European forest ecosystems. Under this scheme the monitoring of air pollution effects on forests is carried out by participating countries on the basis of the systematic network of observation points (Level I) and of the network of observation plots for intensive and continuous monitoring (Level II). According to Article 15(1) of the Forest Focus Regulation Member States shall annually, through the designated authorities and agencies, forward to the Commission geo-referenced data gathered under the scheme, together with a report on them by means of computer telecommunications and/or electronic technology. For managing the data JRC has implemented a Forest Focus Monitoring Database System. This Executive Report presents the results obtained from all processing stages (data reception, validation checks ¿ compliance, conformity, uniformity) for submitted data referring to the monitoring year 2006. This report presents the results at the end of the processing phase after data have been re-submitted in 2007 and 2008. It presents in addition a brief comment on the data status for each NFC, for the reporting year, with respect to the parameter assessed and including analyses of spatial variability of data and temporal trends of parameters.JRC.H.7-Land management and natural hazard

Forest Focus Monitoring Database System - Executive Summary Report 2005 Level II Data

Forest Focus (Regulation (EC) No 2152/2003) is a Community scheme for harmonized, broad-based, comprehensive and long-term monitoring of European forest ecosystems. Under this scheme the monitoring of air pollution effects on forests is carried out by participating countries on the basis of the systematic network of observation points (Level I) and of the network of observation plots for intensive and continuous monitoring (Level II). According to Article 15(1) of the Forest Focus Regulation Member States shall annually, through the designated authorities and agencies, forward to the Commission geo-referenced data gathered under the scheme, together with a report on them by means of computer telecommunications and/or electronic technology. For managing the data JRC has implemented a Forest Focus Monitoring Database System. This Executive Report presents the results obtained from all processing stages (data reception, validation checks ¿ compliance, conformity, uniformity) for submitted data referring to the monitoring year 2005. This report presents the results at the end of the processing phase after data have been re-submitted in 2006 and 2007. It presents in addition a brief comment on the data status for each NFC, for the reporting year, with respect to the parameter assessed and including analyses of spatial variability of data and temporal trends of parameters.JRC.H.7-Land management and natural hazard

Forest Focus Monitoring Database System - Executive Summary Report 2003 Level II Data

This Executive Report presents the results obtained from all processing stages (data reception, validation checks ¿ compliance, conformity, uniformity) for submitted data referring to the monitoring year 2003. This report presents the results at the end of the processing phase after data have been re-submitted in 2007. It presents in addition a brief comment on the data status for each NFC, for the reporting year, with respect to the parameter assessed and including analyses of spatial variability of data and temporal trends of parameters.JRC.H.7-Land management and natural hazard