Environmental modelling helps predict the impacts of agricultural practices on climate, land, and ecosystems. Studies use data-driven models to simulate scenarios, guide decision-making, and evaluate sustainability strategies.
Within the Real Food Research Hub, this category compiles peer-reviewed research and respected analyses on environmental modelling and data in agriculture.
Livestock production plays a significant role in climate change discussions, contributing both challenges...
Global agricultural land use and human food supply
Agricultural land use shapes food availability, biodiversity, and climate. Studies examine...
Agroecology and regenerative agriculture
Agroecology and regenerative agriculture aim to restore ecosystems while producing food...
Application in LMIC smallholder communities
In low- and middle-income countries, smallholder pig and poultry farming provide vital nutrition and livelihoods...
Environmental modelling and data
Environmental modelling helps predict the impacts of agricultural practices on climate, land, and ecosystems...
Case studies provide real-world evidence of how agricultural systems affect the environment. Research highlights examples across regions and farming systems, illustrating both challenges and successful practices.
The Real Food Research Hub provides access to peer-reviewed case studies and credible sources documenting environmental impacts and solutions in agriculture.
Keywords: case studies, agriculture, environment, sustainability, food systems.
Life cycle analysis (LCA) assesses environmental impacts across the entire lifespan of food production, from inputs to final consumption. Research applies LCA to farming systems, products, and diets to identify efficiencies and trade-offs.
This category of the Real Food Research Hub presents peer-reviewed studies and authoritative resources on the use of LCA in agriculture and food systems.
Keywords: life cycle analysis, LCA, environment, food systems, sustainability.
