Other publications and projects which are relevant to the BIOGEA project.
CAP Greening Evaluations
The following references are the main evaluations of CAP greening which have been carried out so far and which are relevant to the BIOGEA policy analysis (WP 2).
European Commission (2016)
A review carried out at the end of the first year published in 2016 focused on issues such as the implementation of greening measures and whether they created a level-playing field, as well as their production potential. It also provided some limited detail on the effectiveness of the scheme.
European Commission (2017)
The Commission has assessed the implementation and effectiveness of the various greening measures in the first two years since the legislation came into force. A further evaluation is planned for the end of 2017.
Ecorys et al. (2016)
A study funded by the European Commission evaluating the greening measures and analysing their uptake across the EU.
Review examining the evidence for wider ecosystem services that benefit crop production provided by the EFAs.
Underwood, E., Tucker, G. (2016)
Overview produced by IEEP for BirdLife and EEB which summarises the evidence from the literature on the most popular EFA measures.
Pe'er, G. et al. (2016)
Oveview of the potential impact of greening measures using expert opinion of their ecological impacts.
EU policy analysis
EU policy overviews examining the coherence of a range of environmental policies which have been drawn upon for the BIOGEA policy analysis (WP 2)
Schleyer, C. et al. (2015)
Policy analysis of key regulatory frameworks in Europe, EU FP7 OpenNESS Project Deliverable 2.1
Policy analysis examining the coherence of the concept of ecosystem services in European environmental policy. The analytical framework has been drawn upon for the BIOGEA policy overview (WP 2, D2b)
Rouillard, J. et al. (2016)
Policy analysis examining how aquatic ecosystems are included in a range of EU environmental policies. The analytical framework has been drawn upon for the BIOGEA policy overview (WP 2, D2b)
Field work and biodiversity indicators
Field work methodologies and indicators relevant to the field work (WP 3)
Oppermann, R. (2015)
Describes the methodology and findings of the first year of the LISA project. The methodology in the BIOGEA case study areas builds upon this study.
Landscape variation and policy impacts
The following references come from projects in which the project team were involved which will be developed further in the BIOGEA modelling (WP 4).
Concepción, E., Dıáz, M. et al. (2012)
Interactive effects of landscape context constrain the effectiveness of local agri-environmental management download.pdf
The research examined how landscape complexity determined eﬀectiveness of local agri-environmental management in terms of eﬀects on species richness of birds, plants, spiders and bees in 232 extensive and intensive paired ﬁelds and used models to to investigate how and why eﬀects of local management intensity on species richness vary along wide gradients of landscape complexity. The methods used in this paper are developed in WP 4 of BIOGEA.
Concepción, E., Dıáz, M., Baquero, R. (2008)
Effects of landscape complexity on the ecological effectiveness of agri-environment schemes download.pdf
The paper presents a conceptual model for the relationship between landscape complexity and ecological effectiveness of AES based on (a) non-linear relationships between landscape complexity and abundance and diversity at ﬁeld scales and (b) four possible interactive scenarios between landscape- and ﬁeld scale effects on abundance and diversity. It evaluated whether and how effectiveness of AES interacted with landscape-scale effects of intensiﬁcation along a landscape complexity gradient. The methods used in this paper are developed in WP 4 of BIOGEA.
Tools for farmers
Examination of how advice provision to farmers can be improved relevant to the development of advisory tools (WP 6)
Tzilivakis, J. et al. (2015)
A prototype software tool is available to help farmers and farm advisers in the selection of Ecological Focus Area (EFA) elements. The aim is to deliver high environmental benefits and at the same time be realistic in terms of farm management. The software was developed in a study carried out by the University of Hertfordshire and coordinated by the JRC.