Multilevel modelling framework for LMTs

The paper argues that the effectiveness of land-based mitigation technologies (LMTs) depends on more than technical estimates. It advocates for a multilevel modelling framework that combines numerical data with stakeholder knowledge to address environmental constraints, social equity, and competing land uses, ensuring that climate action is both realistic and just.

• Land-based mitigation technologies and practices (LMTs) are critical for climate scenarios aiming to limit global warming to below 2 °C or 1.5 °C through the reduction of carbon dioxide emissions and the enhancement of carbon dioxide removals.
• Technical estimates of mitigation potential are insufficient on their own; assessments must incorporate environmental constraints, social equity, competing land uses, and deployment barriers to be reliable.
• The authors propose a transdisciplinary analytical framework that merges numerical modelling with stakeholder engagement to facilitate the equitable coproduction of knowledge and a better understanding of the social and environmental processes affecting LMT governance.

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} }