Future Agriculture – Livestock, crops and land use
This multidisciplinary research platform at the Swedish University of Agricultural Sciences focuses on sustainable natural resource use, emphasizing agriculture's environmental impact, climate change adaptation, and societal values.
(Generated with the help of GPT-4)
Quick Facts | |
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Report location: | source |
Language: | English |
Publisher: |
Swedish University Of Agricultural Sciences: Future Agriculture |
Authors: | Cecilia Waldenström, Erik Steen Jensen, Ingrid Öborn, Jan Bengtsson, Lotta Rydhmer, Ulf Magnusson, Katarina Vrede, Katarina Vrede, Ingrid Öborn, Lotta Rydhmer, Jan Bengtsson Et Al. |
Geographic focus: | Global |
Methods
The research method involved scenario development, workshops, thematic working groups, post-doctoral research projects, and stakeholder engagement to identify key research issues and develop a strategic program for agricultural research.
(Generated with the help of GPT-4)
Key Insights
Future Agriculture – Livestock, Crops and Land Use is a multidisciplinary research platform at the Swedish University of Agricultural Sciences (SLU). It aims to strengthen agricultural research and foster dialogue between academia and society. The platform focuses on networking, supporting young researchers, scenario development, identifying research priorities, and synthesizing complex issues. It involves thematic working groups, post-doctoral projects, and engagement with policymakers and funding agencies. The research addresses challenges such as reducing agriculture's environmental impact, adapting to climate change, managing risks, responding to societal values, and resolving conflicting goals of agriculture and land use.
(Generated with the help of GPT-4)
Additional Viewpoints
Categories: English publication language | Global geographic scope | agriculture adaptation | climate change | environmental impact | food | land use conflicts | policy contributions | research priorities | risk management | rural development | scenario development | societal values