Analysing landscape multi-functionality by integrated modelling

Journal Article (2024)
Author(s)

Borjana Bogatinoska (Open University of the Netherlands)

Angelique Lansu (Open University of the Netherlands)

Jean Hugé (Open University of the Netherlands)

M.H. Ali (IHE Delft Institute for Water Education, TU Delft - Water Resources)

Stefan C. Dekker (Universiteit Utrecht, Open University of the Netherlands)

Jetse Stoorvogel (Open University of the Netherlands)

Research Group
Water Resources
DOI related publication
https://doi.org/10.1016/j.envsoft.2024.106116
More Info
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Publication Year
2024
Language
English
Research Group
Water Resources
Volume number
179
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Abstract

This study addresses the challenging task of analysing multifunctional landscapes through an innovative integrated modelling approach. Acknowledging the limitations of disciplinary models in assessing diverse landscape functions, we present a conceptual framework for their integration. Demonstrating the feasibility and effectiveness of this approach in a Netherlands case study, we assess alternative land use changes for drought and carbon sequestration. Results underscore the framework's efficacy in elucidating the intricate relationship between carbon and water across multiple model runs and iterations. Notably, the alternative land use scenario reveals an average increase in soil moisture during dry periods and an increase in soil organic carbon content across four model runs. This softly coupled approach offers valuable insights into environmental modelling, facilitating navigation of complex integration challenges for researchers and practitioners. Furthermore, it enhances modelling transparency by elucidating variable representation and processes, providing a foundation for informed decisions in sustainable landscape management.