Multilevel modelling framework for LMTs
Summary
This research paper proposes a multilevel modelling framework for assessing land-based mitigation technologies (LMTs), arguing that technical estimates must be integrated with stakeholder knowledge to account for feasibility, equity, and social-environmental interactions.
Key insights
- Land-based mitigation technologies and practices (LMTs) are critical for climate policy scenarios aiming to limit global warming to below 2 °C and ideally 1.5 °C by reducing carbon dioxide emissions and increasing carbon dioxide removals.
- Assessments of LMT mitigation potential must extend beyond maximum technical estimates to incorporate social equity, environmental constraints, barriers to large-scale deployment, and competing land uses.
- The authors propose an analytical framework that combines numerical modelling with stakeholder engagement through integrated transdisciplinary analyses to enable the equitable coproduction of knowledge and a better understanding of the social and environmental processes affecting LMT governance and implementation.
Cite the original document
- APA
- Stockholm Environment Institute (2026). Multilevel modelling framework for LMTs. https://www.sei.org/publications/multilevel-modelling-framework-for-lmts/
- Chicago
- Stockholm Environment Institute. Multilevel modelling framework for LMTs. 2026. https://www.sei.org/publications/multilevel-modelling-framework-for-lmts/.
- Wikipedia
- {{cite report |author=Stockholm Environment Institute |title=Multilevel modelling framework for LMTs |date=8 April 2026 |url=https://www.sei.org/publications/multilevel-modelling-framework-for-lmts/ |access-date=17 August 2026 |via=Climate Insights Directory}}
- BibTeX
- @techreport{stockholmenvironmentinstitute2026multilevel, author = {{Stockholm Environment Institute}}, title = {{Multilevel modelling framework for LMTs}}, institution = {Stockholm Environment Institute}, year = {2026}, month = apr, url = {https://www.sei.org/publications/multilevel-modelling-framework-for-lmts/}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }
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