Towards a multilevel modelling framework for coproducing feasible and equitable portfolios of land-based climate mitigation technologies

Abstract Land-based mitigation technologies and practices (LMTs) are central to climate policy scenarios that limit global warming to below 2 °C and ideally 1.5 °C by reducing carbon dioxide emissions and enhancing carbon dioxide removals from the atmosphere. Reliable estimates of their mitigation potential are essential for informing climate policies across spatial scales and governance levels. However, assessments must move beyond maximum technical potential to account for environmental constraints, social equity, competing land uses and barriers to large-scale deployment. We argue for an analytical framework that integrates numerical modelling with stakeholder engagement in integrated transdisciplinary analyses. This approach enables equitable coproduction of knowledge and supports a deeper understanding of the complex interactions between social and environmental processes that shape the implementation and governance of LMTs, thereby improving their realistic contribution to climate change mitigation and broader socioeconomic objectives.

Authors

Institutions

Publication Details

Journal
npj Climate Action
Published
2026-02-25
DOI
https://doi.org/10.1038/s44168-026-00353-7
Primary Topic
Sustainability and Climate Change Governance
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Towards a multilevel modelling framework for coproducing feasible and equitable portfolios of land-based climate mitigation technologies

Florian Wimmer, Eva Alexandri, Matthew J. Carlson, Eise Spijker et al.
npj Climate Action
Sustainability and Climate Change Governance
article

Towards a multilevel modelling framework for coproducing feasible and equitable portfolios of land-based climate mitigation technologies

Florian Wimmer, Eva Alexandri, Matthew J. Carlson, Eise Spijker, Francis X. Johnson, Étienne Tourigny, Janina Onigkeit, Jenny Lieu, Maria Xylia, Markus G. Donat, Rüdiger Schaldach, David Ismangil, Lokendra Karki, Moritz Laub
article en

Abstract

Abstract Land-based mitigation technologies and practices (LMTs) are central to climate policy scenarios that limit global warming to below 2 °C and ideally 1.5 °C by reducing carbon dioxide emissions and enhancing carbon dioxide removals from the atmosphere. Reliable estimates of their mitigation potential are essential for informing climate policies across spatial scales and governance levels. However, assessments must move beyond maximum technical potential to account for environmental constraints, social equity, competing land uses and barriers to large-scale deployment. We argue for an analytical framework that integrates numerical modelling with stakeholder engagement in integrated transdisciplinary analyses. This approach enables equitable coproduction of knowledge and supports a deeper understanding of the complex interactions between social and environmental processes that shape the implementation and governance of LMTs, thereby improving their realistic contribution to climate change mitigation and broader socioeconomic objectives.

npj Climate ActionVol. 5(1)
University of Kassel (DE), Institució Catalana de Recerca i Estudis Avançats (ES), Barcelona Supercomputing Center (ES), ETH Zurich (CH), UK Centre for Ecology & Hydrology (GB), Climate Centre (NL), Cambridge Econometrics (United Kingdom) (GB), Stockholm Environment Institute (SE), Integral Consulting (United States) (US), Universitat Politècnica de Catalunya (ES), Delft University of Technology (NL)
European Commission
Climate action
Openalex Percentile: Top 52%
Sustainability and Climate Change Governance
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.