Search Evaluation Publications

Total results: 12.

This factsheet focuses on the assessment of RDP impacts on soil organic carbon content and erosion in the Czech Republic.

The aim of the research was to compare fauna of ground beetles and rove beetles in differently managed agricultural fields; to clarify differences in the number of species and individuals in conventional and organic farming systems, focusing attention on species with significant indicative role. The main task of this study was to get statistically valid evidence for effect of farming system on species composition of ground beetles and rove beetles.

The study analyses the changes of soil agrochemical properties during the time between 2009 and 2016 (period I - 123 936 ha, period II - 86 440 ha) and indicators of soil agrochemical properties in four beneficiaries of support measure groups in the period 2014-2016.

The Glastir Monitoring and Evaluation Programme (GMEP) provides a robust, comprehensive programme to establish a baseline against which future assessments of Glastir can be made. GMEP has used methods from past surveys so results can be evaluated within a longer-term perspective and national trends also reported. The use of models and farmer surveys provides early indicators of the likely direction, magnitude and timing of future outcomes and are presented here. The results indicate variable changes in farmer behaviour and modest benefits to those natural resources for which models are available. Opportunities to improve these outcomes include simplification of the woodland scheme, better targeting of other scheme offerings, and consistent support through time across all schemes to allow for lags in ecological responses.

This report looks to:

• assess the impact of Environmental Stewardship (ES) on landscape character and quality in selected areas to be agreed with Natural England at the inception of the contract;

• allow potential comparative research into landscape change over time on holdings where agri-environment agreements cease;

• further develop the survey work undertaken during 2014 to provide a comprehensive baseline to underpin the future monitoring of the landscape outcomes of both ES and CS schemes. This will involve utilising field monitoring techniques developed by ‘BD5303 (Annex 2) and further refined during 2014 in a rapid field survey approach; to propose any further refinements to the rapid assessment methodology where these are identified including provision of recommendations for improvements to future field work undertaken in terms of logistics, potential for co-ordination with other survey teams, recording and reporting mechanisms;

• analyse the field survey results and compare findings with those of the 2014 survey, BD5303 and the NCA threshold results of the LM0429 project (LM0429)

The approach used in this work is to use computer models of pollutant emissions from agricultural land and the effect of changes in land management to provide a complementary intermediate between result and impact indicators by forecasting the potential long-term impact of GLAS management interventions in advance of long-term environmental monitoring for impact detection. Computer models are used to quantify the proportion of the baseline total pollutant load that is managed by farms in scheme, that part which is potentially controllable by the selected management interventions, and the likely reduction in load on the assumption of best practice.

The purpose of this study is to establish an integrated methodology for evaluating the impact of incentive schemes on climate change adaptation for biodiversity at a national, landscape and farm scale. This will consider; how the schemes are operated, how action is targeted, where options are located and whether option prescriptions suit. At the finer farm scale, the contribution of AE schemes to ecosystem based adaptation will also be evaluated.

The study evaluates the spatial distribution of different types of management under AE agreements nationally against a range of spatial datasets relevant to climate resilience and vulnerability, to understand whether existing agri-environment management options are ‘broadly in the right place’ for different adaptation priorities. The study then extends this approach to develop and test a methodology for identifying and evaluating adaptation at the farm level.

The study will result in a methodology that will be incorporated into future AE scheme monitoring and a national baseline dataset to compare future change.

The evaluation aims to obtaining an economic assessment of the activities and development opportunities for small and medium sized farms in Latvia, including direct payments and RDP contributions. It provides the analyis of the support conditions in the RDP measures and proposals for the development of these farms.

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