CIBUSmod 25.09: a spatially disaggregated biophysical agri-food systems model for studying national-level demand- and production-side intervention scenarios

Abstract. CIBUSmod 25.09 is an open-source, spatially disaggregated biophysical model designed to evaluate resource use and environmental impacts in agri-food systems on national and sub-national level under future scenarios involving changes in demand and agricultural production systems. It provides a flexible, modular framework that can integrate regionalised data on crop and livestock production systems at the spatial resolution and aggregation level available. In the model agricultural production is distributed regionally to meet an exogenous demand, while enforcing several constraints that ensure internally consistent scenarios that are biophysically and agronomically feasible. Using Sweden as a case study, the model's application is demonstrated by constructing and validating a baseline and conducting a scenario analysis. The results highlight CIBUSmod's ability to quantify trade-offs in land use, nutrient flows, and greenhouse gas emissions across different transition pathways. The model is designed to be accessible, utilising Python and Jupyter Notebooks with Excel-based input data management. It is publicly available under the GNU GPLv3 licence. By enhancing transparency and usability in food systems modelling, CIBUSmod serves as a valuable tool for researchers to explore sustainable agri-food systems transitions at national and sub-national scales.

Authors

Institutions

Publication Details

Journal
Geoscientific model development
Published
2025-11-14
DOI
https://doi.org/10.5194/gmd-18-8589-2025
Citations
1
Primary Topic
Agriculture Sustainability and Environmental Impact
Type
article
Field-Weighted Citation Impact
1.72

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CIBUSmod 25.09: a spatially disaggregated biophysical agri-food systems model for studying national-level demand- and production-side intervention scenarios

Niclas Ericsson, Rasmus Einarsson, Johan O. Karlsson, Oscar Lagnelöv et al.
1 citations
Geoscientific model development
Agriculture Sustainability and Environmental Impact
1.72
article

CIBUSmod 25.09: a spatially disaggregated biophysical agri-food systems model for studying national-level demand- and production-side intervention scenarios

Niclas Ericsson, Rasmus Einarsson, Johan O. Karlsson, Oscar Lagnelöv, Hanna Karlsson, Per-Anders Hansson
article en
1 citations

Abstract

Abstract. CIBUSmod 25.09 is an open-source, spatially disaggregated biophysical model designed to evaluate resource use and environmental impacts in agri-food systems on national and sub-national level under future scenarios involving changes in demand and agricultural production systems. It provides a flexible, modular framework that can integrate regionalised data on crop and livestock production systems at the spatial resolution and aggregation level available. In the model agricultural production is distributed regionally to meet an exogenous demand, while enforcing several constraints that ensure internally consistent scenarios that are biophysically and agronomically feasible. Using Sweden as a case study, the model's application is demonstrated by constructing and validating a baseline and conducting a scenario analysis. The results highlight CIBUSmod's ability to quantify trade-offs in land use, nutrient flows, and greenhouse gas emissions across different transition pathways. The model is designed to be accessible, utilising Python and Jupyter Notebooks with Excel-based input data management. It is publicly available under the GNU GPLv3 licence. By enhancing transparency and usability in food systems modelling, CIBUSmod serves as a valuable tool for researchers to explore sustainable agri-food systems transitions at national and sub-national scales.

Geoscientific model developmentVol. 18(22)
Swedish University of Agricultural Sciences (SE), Quantify Research (Sweden) (SE)
Stiftelsen för Miljöstrategisk Forskning, Svenska Forskningsrådet Formas, Vetenskapsrådet
Openalex Percentile: Top 12%
Agriculture Sustainability and Environmental Impact
1.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.