Our research projects

Photo: Manuel Gutjahr

Project

Title
Advanced biodiversity monitoring for results-based and effective agricultural policy and transformation
Acronym
BioMonitor4Cap
Start
01.12.2022
End
30.11.2026
Coordinating Institute
Leibniz-Institut zur Analyse des Biodiversitätswandels
Partner
Bayer CropScience Deutschland GmbH
Stiftung Universität Hildesheim
Fraunhofer-Institut für Digitale Medientechnologie
ZOOLOGISCHES FORSCHUNGSMUSEUM ALEXANDER KOENIG
Landesamt für Umwelt Brandenburg - Geschäftsbereich des MLUK
UNIVERSIDAD CIENTIFICA DEL SUR SAC
BULGARIAN SOCIETY FOR THE PROTECTION OF BIRDS
Leibniz-Institut zur Analyse des Biodiversitätswandels

Project team ATB
Allocated to research program
Summary
Unsustainable agricultural practices are major drivers affecting habitat and species diversity in agricultural landscapes of the EU. However, peatland, grassland, and species associated with agriculture are of most concern. The ongoing negative impacts of unsustainable agricultural practices emphasize the need for a fully integrated approach between the EU 2030 Biodiversity and Farm to Fork Strategies. Supporting the ECs ambition of enhancing biodiversity of agricultural landscapes advanced systems are required to monitor biodiversity features and their changes over time and in space. Such biodiversity monitoring systems will support implementation of result-based policies in the European agricultural landscapes. The BioMonitor4CAP project will design advanced biodiversity monitoring systems mainly assessing diversity of targeted species and habitats to be tested, calibrated, and demonstrated in five European regions representing the major agro-ecological regions of the EU and one region in Peru representing one of the global biodiversity hot spots. The project will combine classical indicator systems that are part of the European monitoring framework (e.g. Farmland Bird Index) with various indicator systems mostly recently developed and applied in form of standalone systems: i) new indicator species (e.g. grasshopper), ii) genetic diversity (eDNA), iii) on-site sensors (e.g. wing beat frequency, acoustic sounds), iv) functional diversity (e.g. pollinators), and iv) various spatial measures. Supporting development and implementation of revised agricultural policies and ensuring rural development the project will involve among multiple stakeholder groups particularly farmers, conversationalists, and service provides as the value and/or marketability of public and/or private goods delivered through maintained and enhanced biodiversity and related monitoring systems are hardly understood.

Funding
Europäische Union (EU)
Funding agency
European Research Executive Agency
Grant agreement number
101081964
Funding framework
HorizonEurope Call Topic HORIZON-CL6-2022-BIODIV-01-06 - RIA

Cookies

We use cookies. Some are required to offer you the best possible content and functions while others help us to anonymously analyze access to our website. (Matomo) Privacy policy

Required required

Necessary cookies are absolutely essential for the proper functioning of the website. This category only includes cookies that ensure basic functionalities and security features of the website. These cookies do not store any personal information.

Cookie Duration Description
PHPSESSID Session Stores your current session with reference to PHP applications, ensuring that all features of the site can be displayed properly. The cookie is deleted when the browser is closed.
bakery 24 hours Stores your cookie preferences.
fe_typo_user Session Is used to identify a session ID when logging into the TYPO3 frontend.
__Secure-typo3nonce_xxx Session Security-related. For internal use by TYPO3.
Analytics

With cookies in this category, we learn from visitors' behavior on our website and can make relevant information even more accessible.

Cookie Duration Description
_pk_id.xxx 13 months Matomo - User ID (for anonymous statistical analysis of visitor traffic; determines which user is being tracked)
_pk_ses.xxx 30 minutes Matomo - Session ID (for anonymous statistical analysis of visitor traffic; determines which session is being tracked)