GeoGOBLIN: A catchment-scale land balance model for assessment of climate mitigation pathways considering environmental trade-offs for multiple impact categories

GeoGOBLIN, a novel environmental impact and land balance assessment tool, builds upon the GOBLIN biophysical land use emissions model for Ireland, offering enhanced resolution and system-level detail. It combines remotely sensed data and national agricultural census data to model climate change, air...

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Veröffentlicht in:Environmental modelling & software : with environment data news 2024-09, Vol.180, p.106144, Article 106144
Hauptverfasser: Duffy, Colm, Henn, Daniel, Styles, David, Toth, Gregory G., Prudhomme, Remi, Iannetta, Pietro P.M., Byrne, Ken
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Sprache:eng
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Zusammenfassung:GeoGOBLIN, a novel environmental impact and land balance assessment tool, builds upon the GOBLIN biophysical land use emissions model for Ireland, offering enhanced resolution and system-level detail. It combines remotely sensed data and national agricultural census data to model climate change, air quality, and eutrophication emissions at the catchment level. Integration of the CBM-CFS3 forest carbon modelling framework (utilised in Ireland's National Inventory Report) increases alignment with national emissions reporting. GeoGOBLIN disaggregates emissions by life cycle assessment impact categories, making it a valuable tool for policymakers and researchers evaluating environmental and economic trade-offs associated with land-use scenarios. Illustrative scenarios demonstrate GeoGOBLIN's ability to assess the multifaceted impacts of alternative land uses, supporting informed decision-making for sustainable land use, food production, and a circular bioeconomy. •Land balance model for the assessment of environmental impacts from land use/cover change at the catchment level.•Spatially specific land cover and environmental impact assessment.•Assessment of multiple life cycle impact categories at the catchment level.•Rules based assessment for scenario result prioritization.
ISSN:1364-8152
DOI:10.1016/j.envsoft.2024.106144