Introduction Intensified agricultural production systems are a main driver of the ongoing biodiversity decline. However, reliably quantifying biodiversity change and its underlying drivers remains challenging. Data and indicators from existing land-use and biodiversity monitoring programs allow only limited scientifically robust conclusions. MonBioLa builds on the Thünen Institute’s experience in national- scale monitoring of biodiversity in agricultural landscapes. It further develops biodiversity indicators for habitat diversity. Methodologies We develop data-based solutions for comprehensive indicators of habitat diversity and integrate heterogeneous spatial data (national/regional agricultural statistics such as IACS data, Earth Observation, field data) for a spatially, temporally, and thematically consistent mapping and monitoring of agricultural land use and its changes. Based on the indicators, we examine relationships between habitat diversity and organismic diversity (e.g., farmland birds) at different spatial and temporal scales. Output We create different kinds of outputs: - We generate guidelines for data cleaning and homogenization of IACS data. - We generate datasets on agricultural land-use and management for specific biodiversity- supporting land-use types (e.g., fallows, grassland). - We generate a prototype farmland habitat quality indicator based on habitat diversity indicators. Impact We want to enable the evaluation of agricultural and environmental policy measures regarding their effect on biodiversity as a basis for formulating recommendations to decision-makers in light of national and EU-wide policies (e.g., the Green Deal or the Common Agricultural Policy (CAP)). What I can offer - Methodological expertise in integrating heterogeneous agricultural data and harmonizing IACS data. - Development of indicators for habitat diversity and farmland ecosystems. What I need - Collaboration on data interoperability and scaling approaches in indicator development. - Input from relevant stakeholders to ensure indicator relevance. - General expertise from other countries on monitoring biodiversity in agricultural landscapes.

Source: Annual AgData Use Case Summit 2026 booklet.