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A Protocol for Collecting and Constructing Soil Core Lysimeters
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Systems knowledge for sustainable soil and land management
Michael T Löbmann1, Linda Maring2, Gundula Prokop3
1Leibniz Centre for Agricultural Landscape Research (ZALF) e.V., Eberswalder Straße 84, 15374 Müncheberg, Germany.
The Science of the Total Environment
|February 1, 2022
Summary
Sustainable soil and land management is crucial for meeting global challenges. Research must integrate socio-economic factors and policy to overcome current bottlenecks in achieving sustainable land use.
Area of Science:
- Environmental Science
- Agricultural Science
- Soil Science
Background:
- Soils and land are critical for Sustainable Development Goals (SDGs) but face global degradation.
- Increasing societal demands on soil functions (climate mitigation, biodiversity, biomass) exacerbate degradation.
- A transition to sustainable soil and land management is urgently needed to address these challenges.
Purpose of the Study:
- To develop a systemic research framework for sustainable soil and land management.
- To support the implementation of the Horizon Europe Mission "A Soil Deal for Europe".
- To identify research priorities and knowledge gaps for effective land management.
Main Methods:
- Literature analysis of existing research on soil and land management.
- Engagement with soil and land scientists to gather expert input.
- Development of a framework linking societal challenges to knowledge types.
Main Results:
- A systemic research framework was developed, categorizing soil and land topics into six societal challenges and eight knowledge types.
- The framework emphasizes integrated research for developing and implementing sustainable soil and land management practices.
- Alignment of research with living labs and lighthouses is proposed for local innovation and education.
Conclusions:
- Socio-economic interrelations with soil health and policy represent the biggest bottleneck in transitioning to sustainable soil and land management.
- A systems approach is required, integrating experimentation, data analysis, assessment, and modeling.
- Research must support institutions, governance, and policy for effective implementation.
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