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Miriam von Thenen - Publications

  • 2024
    • Bonnevie, I. M., M. v. Thenen and H. S. Hansen (2024). Editorial: Spatial planning for sustainable use of marine ecosystem services and resources. Front. Mar. Sci. 11: 1361827, doi: 10.3389/fmars.2024.1361827 –open access–
    • Schernewski, G., M. Jekat, F. Kösters, T. Neumann, S. Steffen, M von Thenen (2024). Ecosystem Services Supporting Environmental Impact Assessments (EIAs): Assessments of Navigation Waterways Deepening Based on Data, Experts, and a 3D Ecosystem Model. Land 13: 1653, https://doi.org/10.3390/land13101653
    • Schernewski, G., T. Neumann, M. Bučas, M. von Thenen (2024). Ecosystem Services of the Baltic Sea—State and Changes during the Last 150 Years. Environments 11/9: 200, https://doi.org/10.3390/environments11090200
  • 2023
    • Armoškaitė, A., J. Aigars, I. Andersone, I. M. Bonnevie, H. S. Hansen, S. Strāķe, M. v. Thenen and L. Schrøder (2023). Setting the scene for a multi-map toolset supporting maritime spatial planning by mapping relative cumulative impacts on ecosystem service supply. Front. Mar. Sci. 10: 1213119, doi: 10.3389/fmars.2023.1213119 –open access–
    • Schernewski, G., A. Konrad, J. Roskothen and M. von Thenen (2023). Coastal adaptation to climate change and sea level rise: Ecosystem service assessments in spatial and sectoral planning. Appl. Sci.-Basel 13: 2623, doi: 10.3390/app13042623 –open access–
    • Thenen, M. v., N. Effelsberg, L. Weber and G. Schernewski (2023). Perspectives and scenarios for coastal fisheries in a social-ecological context: An ecosystem service assessment approach in the German Baltic Sea. Sustainability 15: 15732, doi: 10.3390/su152215732 –open access–
  • 2022
    • Haseler, M., M. v. Thenen, E. Robbe, G. Escobar Sáchez, L. Ben Abdallah, G. Hassan and G. Schernewski (2022). Marine litter monitoring on North African beaches of the Mediterranean Sea. In: 16th International Conference Littoral22 Book of Abstracts. Ed. by J. C. Ferreira, M. Ferreira, C. Jóia Santos and C. Macedo Duarte. Caparica,  Portugal: NOVA School of Science and Technology | FCT NOVA: 53-54, 978-972- 99923-6-0
    • Haseler, M., M. v. Thenen, E. Robbe, G. Escobar Sáchez, L. Ben Abdallah, G. Hassan and G. Schernewski (2022). Marine litter monitoring on North African beaches of the Mediterranean Sea. In: 16th International Conference Littoral22 Book of Abstracts. Ed. by J. C. Ferreira, M. Ferreira, C. Jóia Santos and C. Macedo Duarte. Caparica,  Portugal: NOVA School of Science and Technology | FCT NOVA: 53-54, 978-972- 99923-6-0 –open access–
    • Thoya, P., M. A. Owuor, M. v. Thenen and J. O. Omukoto (2022). Variations in community perceptions of ecosystem services within the Tana River estuary, Kenya: Implications for ocean governance. WIO J. Mar. Sci., 1/2022 Special Issue - Ocean and coastal governance in the Western Indian Ocean 47-57 –open access–
  • 2021
    • Armoškaitė, A., I. Bārda, I. Andersone, I. M. Bonnevie, A. Ikauniece, J. Kotta, A. Kõivupuu, L. Lees, I. Psuty, S. Strāķe, S. Sprukta, L. Szymanek, M. von Thenen, L. Schrøder and H. S. Hansen (2021). Considerations of use-use interactions between macroalgae cultivation and other maritime sectors: An eastern Baltic MSP case study. Sustainability 13: 13888, doi: 10.3390/su132413888 –open access–
    • Frederiksen, P., A. Morf, M. von Thenen, A. Armoskaite, H. Luhtala, K. S. Schiele, S. Strake and H. S. Hansen (2021). Proposing an ecosystem services-based framework to assess sustainability impacts of maritime spatial plans (MSP-SA). Ocean Coastal Manage. 208: 105577, doi: 10.1016/j.ocecoaman.2021.105577
    • Thenen, M. v., A. Armoškaitė, V. Cordero-Penín, S. García-Morales, J. B. Gottschalk, D. Gutierrez, M. Ripken, P. Thoya and K. S. Schiele (2021). The future of marine spatial planning - perspectives from early career researchers. Sustainability 13: 13879, doi: 10.3390/su132413879 –open access–
    • Thenen, M. v., H. S. Hansen and K. S. Schiele (2021). A generalised marine planning framework for site selection based on ecosystem services. Mar. Policy 124: 104326, doi: 10.1016/j.marpol.2020.104326
  • 2020
    • Maar, M., J. Larsen, M. v. Thenen and K. Dahl (2020). Site selection of mussel mitigation cultures in relation to efficient nutrient compensation of fish farming. Aquac. Environ. Interact. 12: 339-358, doi: 10.3354/aei00361 –open access–
    • Thenen, M. v., H. S. Hansen and K. S. Schiele (2020). SPACEA: A custom-made gis toolbox for basic Marine Spatial Planning analyses. In: Computational Science and Its Applications – ICCSA 2020. Ed. by O. Gervasi, B. Murgante, S. Misra, C. Garau, I. Blečić, D. Taniar, B. O. Apduhan, A. M. A. C. Rocha, E. Tarantino, C. M. Torre and Y. Karaca. Cham: Springer International Publishing (Lecture Notes in Computer Science): 394-404, 978-3-030-58811-3, doi: 10.1007/978-3-030-58811-3_28
    • Thenen, M. v., M. Maar, H. S. Hansen, R. Friedland and K. S. Schiele (2020). Applying a combined geospatial and farm scale model to identify suitable locations for mussel farming. Mar. Poll. Bull. 156: 111254, doi: 10.1016/j.marpolbul.2020.111254
    • Thenen, M. v., P. Frederiksen, H. S. Hansen and K. S. Schiele (2020). A structured indicator pool to operationalize expert-based ecosystem service assessments for marine spatial planning. Ocean Coastal Manage. 187: 105071, doi: 10.1016/j.ocecoaman.2019.105071 –open access–
  • 2019
    • Holzhüter, W.; Schiele, K; von Thenen, M.; Maack, L.; Luhtala, H.; Viška, M.; Strāķe, S.: Database including spatial data on ecosystem services and (anthropogenic) pressures. BONUS BASMATI Deliverable 3.2, June 2019, www.bonusbasmati.eu
    • Schiele, K., Holzhüter, W., von Thenen, M., Luhtala, H., Strāķe, S., Viška, M., Pakalniete, K., Koski, C., Morf, A.: Requirements for data to be used in marine spatial planning. BONUS BASMATI Deliverable 3.1, August 2018, www.bonusbasmati.eu
  • 2018
    • Kuusemäe, K., M. von Thenen, T. Lange, E. K. Rasmussen, M. Pothoff, A. I. Sousa and M. R. Flindt (2018). Agent Based Modelling (ABM) of eelgrass (Zostera marina) seedbank dynamics in a shallow Danish estuary. Ecol. Model. 371: 60-75, doi: 10.1016/j.ecolmodel.2018.01.001