Publikationen
Zeige Ergebnisse 1 - 7 von 7
2024
Anderson, C. C., Uhr, J. S., & Schmidt, S. (2024). Visitor motivations and design feature use for thermal comfort on hot days in Bochum City Park, Germany. Urban Forestry and Urban Greening, 102, Artikel 128564. https://doi.org/10.1016/j.ufug.2024.128564
2023
Brenner, J., Schmidt, S., & Albert, C. (2023). Localizing and prioritizing roof greening opportunities for urban heat island mitigation: insights from the city of Krefeld, Germany. Landscape ecology, 38(7), 1697-1712. https://doi.org/10.1007/s10980-023-01644-8
2022
Schmidt, S., Guerrero, P., & Albert, C. (2022). Advancing Sustainable Development Goals with localised nature-based solutions: Opportunity spaces in the Lahn river landscape, Germany. Journal of Environmental Management, 309, Artikel 114696. https://doi.org/10.1016/j.jenvman.2022.114696
Von Albert, C., Schröter, B., Brillinger, M., Henz, J., Guerrero, P., Gottwald, S., Haase, D., Herrmann, S., Mehl, D., Nicolas, C., Ott, E., Schmidt, S., & Sommerhäuser, M. (2022). Naturbasierte Lösungen in Flusslandschaften planen und entwickeln: Zehn Thesen. Naturschutz und Landschaftsplanung, 54(3), 12-19. https://doi.org/10.1399/NuL.2022.03.01
2021
Albert, C., Brillinger, M., Guerrero, P., Gottwald, S., Henze, J., Schmidt, S., Ott, E., & Schröter, B. (2021). Planning nature-based solutions: Principles, steps, and insights. AMBIO, 50(8), 1446-1461. https://doi.org/10.1007/s13280-020-01365-1
Röing, S., Gottwald, S., Hermes, J., Schmidt, S., & Albert, C. (2021). Spatially assessing unpleasant places with hard- and soft-GIS methods: A river landscape application. Ecosystems and People, 17(1), 358-369. https://doi.org/10.1080/26395916.2021.1944912
2019
Förster, J., Schmidt, S., Bartkowski, B., Lienhoop, N., Albert, C., & Wittmer, H. (2019). Incorporating environmental costs of ecosystem service loss in political decision making: A synthesis of monetary values for Germany. PLoS ONE, 14(2), Artikel e0211419. https://doi.org/10.1371/JOURNAL.PONE.0211419, https://doi.org/10.15488/4529
