Forest landscape restoration for climate-adaptive estates in the Baakse Beek region, Gelderland

Forest landscape restoration for climate-adaptive estates in the Baakse Beek region, Gelderland

Wang, Yanjiao (TU Delft Architecture and the Built Environment)

Nijhuis, S. (mentor)
Ursem, W.N.J. (mentor)
Wilms Floet, W.W.L.M. (graduation committee)
van de Pas, R.R.J. (graduation committee)

Delft University of Technology

Architecture, Urbanism and Building Sciences | Landscape Architecture

2020-08-28

The research focuses on the estate zone of the Baakse Beek region which is facing environmental problems mainly caused by historical human intervention and climate change. Besides, in the Vorden cluster, as the land use changing caused by intense land reclamation and consolidation, the current agriculture productive landscape makes it not easy to perceive the rich historical layers.
The main research method of this study is research by design and the main goal is to explore the potential of forest landscape restoration to increase the resilience of the estate landscape in the face of climate change and to promote their cultural-historical values and identity. By restoring forest landscape, it provides a green infrastructure to the estate zone to gain more spatial experience, ecological benefits, as well as cultural value, so that vulnerable aquatic eco-environment and cultural identity can be promoted.
The research aims to design a climate-adaptive estate landscape as a green infrastructure that connects the estates, local history, ecology value and societal value through forest landscape restoration. This thesis primarily focuses on the territory of two estates, Het Medler and De Wiersse, where ecological restoration of the aquatic eco-system and cultural-historical landscape experience can be strengthened utilizing forest landscape restoration.

estate landscape
Baakse Beek
forest landscape restoration
climate change
culture heritage

http://resolver.tudelft.nl/uuid:7c5385ae-867d-41a0-8764-b7107c59a33b

52.100039, 6.393811

Student theses

master thesis

© 2020 Yanjiao Wang