Practice Abstract - Research and innovation

Livestock in Sustainable Wetland Farming in Donaumoos (Network: Germany | ARGE Donaumoos)

In the Swabien Donaumoos region, known for its extensive peatlands and wetlands, a sustainable farming revolution is underway. Livestock, particularly robust cattle breeds, play a pivotal role in this transformation.
Extensive grazing, allowing cattle to roam freely in these natural landscapes, is becoming a leading method to manage wetland ecosystems sustainably. It promotes biodiversity, enhances soil health, and curbs invasive plant species, all while sequestering carbon – a climate-friendly agricultural approach.
In Donaumoos, extensive grazing with robust cattle breeds is a cornerstone of maintaining protected natural areas. This practice supports unique flora and fauna while aiding climate mitigation.
Donaumoos stands out for opening approximately 100 hectares of protected natural areas for cattle grazing. This innovative strategy exemplifies the region's commitment to balancing agriculture and conservation. It addresses the dual challenges of food production and ecosystem preservation in the face of climate change.
A cooperative community of eight young farmers will try to gain a sustainable way of extensive farming. Their pasture-sharing approach fosters a sense of responsibility and collaboration, ensuring wetlands are stewarded for future generations. They harmonize agriculture with environmental and conservation goals, promoting wetland preservation.
Donaumoos demonstrates how livestock integration into wetland farming can merge agriculture and conservation effectively. Through extensive grazing, the region contributes to both climate protection and nature conservation. This example underscores the importance of preserving critical habitats.
Source Project
MIXED - Multi-actor and transdisciplinary development of efficient and resilient MIXED farming and agroforestry systems
Ongoing | 2020-2025
Main funding source
Horizon 2020 (EU Research and Innovation Programme)
Geographical location
Denmark
Project details