Niklas Möhring, CEBC-CNRS, France
Karin Ingold, University Bern
Ashley Larsen, UC Santa Barbara, United States of America
Robert Finger, ETH Zürich, Switzerland
The reduction of environmental and health risks from pesticide use is a central challenge for agriculture. Sustainable pest management should maintain crop yields for a growing global population, while reducing adverse effects of current strategies. A number of countries have introduced National Action Plans “to reduce environmental and health risks from pesticide use”. Despite substantial efforts, pesticide policies have failed to reach reduction goals. Research on effective and efficient pesticide policies for a sustainable pest management is therefore needed.
In this session we will present cutting-edge research on pesticide risk reduction for effective and efficient pesticide policies.
This session aims to bring together ongoing research on policies to reduce pesticide risks, taking an interdisciplinary approach, which integrates theories, concepts and methods from agricultural economics, policy research, agronomy and ecology. Farmers’ behaviour shall play an important role in this session for the understanding of pesticide use decisions and the design of policies. Finally, the session aims to show how effective and efficient pesticide policies can be designed. For example, shedding light on policy perspectives beyond the level of individual farms and accounting for the diversity of actors’ land use and management decisions at the landscape level.
Birgit Müller, Helmholtz Centre for Environmental Research - UFZ, Germany
Bartosz Bartkowski, Helmholtz Centre for Environmental Research - UFZ, Germany
Robert Huber, ETH Zürich, Switzerland
To foster transformation towards sustainable and resilient agriculture in Europe and beyond and to put the right incentives for farmers it is important to understand factors driving farmers’ behaviour. Effective policy interventions should take into account farmers’ heterogeneous decision-making. In this context, empirical research emerged that tries to classify farmers’ decision-making into typologies or archetypes. The idea is to find patterns of decision-making that simplify the representation of famers’ behaviour in scientific analyses.
The spatial focus of this conference – the landscape scale - evokes the question, how and to what extent individual characteristics of farmers can be aggregated to a type or a group that exhibit a different behaviour than another type/group for landscape scale analysis.
For this session we invite contributions to bring together knowledge from different disciplines, e.g. earth system sciences, rural sociology, human geography, modelling and economics related to the concept of farmer typologies. We encourage submissions that provide insights from different data sources (e.g., surveys, census, big data) and research approaches (e.g., machine learning, meta-analysis, modelling). The discussions are aimed to offer new perspectives on how to consider the heterogeneity in farmers’ decision-making for the analysis of landscape scale policy options that contribute to a more sustainable and resilient agriculture in different regions in the world.
Bettina Matzdorf, Leibniz Centre for Agricultural Landscape Research (ZALF), Germany
Katrin Prager, University of Aberdeen, United Kingdom
Francis Turkelboom, INBO, Belgium
A diverse and resilient agricultural landscape requires a variety of environmental friendly land uses. An important approach to promote appropriate land use is the use of financial incentive instruments such as agri-environmental measures. These are designed to influence the behaviour of farmers and other land users in a targeted manner. Currently, separate contracts with individual farmers predominate.. Active management of entire landscapes is thus often not effectively possible, although this is essential for many environmental goals. New approaches and innovative contract design are therefore needed to achieve the necessary effects at landscape scale. However, collaborative agri-environmental schemes to improve spatial coordination and targeting of agri-environmental measures need to be carefully designed to motivate farmers.
In this session we would like to present research results that investigate new forms of contract design supporting cooperative approaches, perhaps combined with result-oriented approaches. The focus will be on empirical results on the institutional setting for promoting cooperation at the landscape level and the impact of different contracts design features on the behaviour of actors. In this session, the research results will be discussed by practitioners, policy makers and researchers against the background of their relevance for the concrete design of financial incentive instruments.
Marijn van der Velde, European Commission – Joint Research Centre
Maria Luisa Paracchini, European Commission – Joint Research Centre
Raphael d’Andrimont, European Commission – Joint Research Centre
Philippe Loudjani, European Commission – Joint Research Centre
A twin digital and ecological transition is needed to achieve global sustainability ambitions. Transformations are needed in the way we produce food, preserve biodiversity and landscapes, and address climate change. Agricultural and environmental policies play a key role in preserving and restoring diversified agricultural landscapes and biodiversity while achieving climate neutrality by 2050.
The session focuses on the use of new imaging technologies, data capturing methods, and analytics (e.g. artificial intelligence) for policy design and implementation. In-situ and remote sensing based approaches underpinned by e.g. Galileo and Copernicus provide new mechanisms to foster sustainable land management (e.g. ensuring good agricultural practices) but also provide new tools to track progress towards targets by monitoring indicators for ecosystems, landscape organization, and biodiversity, combining insights from smartphones, farm sensors, street level cameras, and satellite sensors. These developments are feeding in policy development around the world, including the Common Agricultural Policy of the European Union.
Examples include the use of deep learning to extract information from pictures on land related aspects (land cover and use, landscape elements, phenology), ways how biodiversity monitoring (plants, insects) can be improved by citizen science apps, and how such in-situ data can inform Earth Observation at different scales for better managing e.g. green infrastructure. We warmly invite presentations and posters illustrating such digital and policy relevant applications from around the world.