Maarten J. van Strien

Last Name

van Strien

First Name

Maarten J.

ORCID

0000-0002-4311-0926

Organisational unit

03823 - Grêt-Regamey, Adrienne / Grêt-Regamey, Adrienne

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Publications 1 - 10 of 61

Resilience in social-ecological systems: identifying stable and unstable equilibria with agent-based models
van Strien, Maarten J.; Huber, Sibyl H.; Anderies, John M.; et al. (2019)
Ecology and Society
To determine the resilience of complex social-ecological systems (SESs) it is necessary to have a thorough understanding of the system behavior under changing political, economic, and environmental conditions (i.e., external system stressors). Such behavior can be predicted if one knows the stable and unstable equilibrium states in a system and how these equilibria react to changes in the system stressors. The state of the system rapidly or gradually changes either toward (i.e., stable equilibrium) or away from (i.e., unstable equilibrium) an equilibrium. However, the equilibrium states in a SES are often unknown and difficult to identify in real systems. In contrast, agent-based SES models can potentially be used to determine equilibria states, but are rarely used for this purpose. We developed a generic approach to identify stable and unstable equilibria states with agent-based SES models. We used an agent-based SES model to simulate land-use change in an alpine mountain region in the Canton of Valais, Switzerland. By iteratively running this model for different input settings, we were able to identify equilibria in intensive and extensive agriculture. We also assessed the sensitivity of these equilibria to changes in external system stressors. With support-vector machine classifications, we created bifurcation diagrams in which the stable and unstable equilibria as a function of the values of a system stressor were depicted. The external stressors had a strong influence on the equilibrium states. We also found that a minimum amount of direct payments was necessary for agricultural extensification to take place. Our approach does not only provide valuable insights into the resilience of our case-study region to changing conditions, but can also be applied to other (agent-based) SES models to present important model results in a condensed and understandable format.
Assessing the influence of the amount of reachable habitat on genetic structure using landscape and genetic graphs
Savary, Paul; Foltête, Jean-Christophe; van Strien, Maarten J.; et al. (2022)
Heredity
Genetic structure, i.e. intra-population genetic diversity and inter-population genetic differentiation, is influenced by the amount and spatial configuration of habitat. Measuring the amount of reachable habitat (ARH) makes it possible to describe habitat patterns by considering intra-patch and inter-patch connectivity, dispersal capacities and matrix resistance. Complementary ARH metrics computed under various resistance scenarios are expected to reflect both drift and gene flow influence on genetic structure. Using an empirical genetic dataset concerning the large marsh grasshopper (Stethophyma grossum), we tested whether ARH metrics are good predictors of genetic structure. We further investigated (i) how the components of the ARH influence genetic structure and (ii) which resistance scenario best explains these relationships. We computed local genetic diversity and genetic differentiation indices in genetic graphs, and ARH metrics in the unified and flexible framework offered by landscape graphs, and we tested the relationships between these variables. ARH metrics were relevant predictors of the two components of genetic structure, providing an advantage over commonly used habitat metrics. Although allelic richness was significantly explained by three complementary ARH metrics in the best PLS regression model, private allelic richness and MIW indices were essentially related with the ARH measured outside the focal patch. Considering several matrix resistance scenarios was also key for explaining the different genetic responses. We thus call for further use of ARH metrics in landscape genetics to explain the influence of habitat patterns on the different components of genetic structure.
Short versus long-term urban planning using multi-objective optimization
Schwaab, Jonas; Deb, Kalyanmoy; Goodman, Erik; et al. (2017)
Proceedings of the Genetic and Evolutionary Computation Conference Companion on, GECCO '17
Combining urban scaling and polycentricity to explain socio-economic status of urban regions
Khiali Miab, Amin; van Strien, Maarten J.; Axhausen, Kay W.; et al. (2019)
PLoS ONE
The fast pace of urbanisation may benefit or be detrimental to the socio-economic status of urban areas. Understanding how the configuration of urban areas influences the socio-economic status of their inhabitants is of crucial importance for urban planning. In theory, urban scaling laws and polycentric development are two well-known concepts developed to increase our understanding of urbanisation and its socio-economic effects. In practice, however, they fall short to explain the socio-economic status of urban regions. The urban scaling concept is constructed from a theoretical perspective, but functional relationships between urban centres are not taken into account in scaling models. In contrast, the concept of polycentricity is developed from a practical perspective and incorporates the socio-economic effect of relationships between urban centres in the process of urban development. However, polycentricity lacks a theoretical foundation, which would explain the socio-economic status of urban regions. In this study, we assess whether combining both concepts improves the ability to explain personal incomes in metropolitan areas in Switzerland. We first delineated metropolitan areas by implementing a modularity maximisation algorithm on the settlement network. Nodes in this network are Swiss municipalities and links are inter-municipal commuter flows. We found a strong relationship between the hierarchical organisation of functional connections within metropolitan areas and the socio-economic status of these areas. Both concepts were complementary and combining them proved to enhance the ability to explain socio-economic status. The combined model is a theoretical progress, which complements the traditional approaches and increases our understanding of cities and urbanisation processes.
Coupling habitat and human networks: effects of settlement and road configuration on habitat connectivity
van Strien, Maarten J.; Grêt-Regamey, Adrienne (2015)
Complex Networks in Ecology II: Zaragoza, June 1, 2015. Book of abstracts
Well-connected living spaces for both animals and humans: unravelling complex interactions in coupled habitat and settlement networks
van Strien, Maarten J.; Khiali Miab, Amin; Ortiz Rodríguez, Damian O.; et al. (2017)
Vektorisierung Historischer Karten
Räth, Yves M.; van Strien, Maarten J. (2023)
Wege und Geschichte = Les chemins et l'histoire = Strade e storia ~ Verkehrswege und Kartografie
Historische Karten helfen bei der Analyse der Siedlungs- und Strassenentwicklung. Das EMPHASES-Projekt der ETH Zürich vektorisiert hierfür bis zu 150 Jahre alte Karten in Kombination mit Reisegeschwindigkeiten ermöglichen sie die Erstellung von Siedlungsnetzen und zeigen so auf, wie sich die Vernetzung im Mitelland verändert hat.
Anticipating Urban Land Use Change in Polycentric Regions
Räth, Yves M.; Miotti, Marco; van Strien, Maarten J.; et al. (2025)
Spatio-temporal networks for wetland biodiversity conservation
Harisena, Nivedita Varma; van Strien, Maarten J.; Grêt-Regamey, Adrienne (2022)
Book of Abstracts of the World Biodiversity Forum 2022
Assessing spatio-temporal landscape accessibility for multi-species assemblages
Harisena, Nivedita Varma; Grêt-Regamey, Adrienne; van Strien, Maarten J. (2024)

Publications 1 - 10 of 61

Maarten J. van Strien

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