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Rahim Aguejdad

Researcher at University of Strasbourg

Publications -  22
Citations -  687

Rahim Aguejdad is an academic researcher from University of Strasbourg. The author has contributed to research in topics: Urban climate & Urban planning. The author has an hindex of 10, co-authored 20 publications receiving 589 citations. Previous affiliations of Rahim Aguejdad include Geode & Institut national de la recherche agronomique.

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Small urban woodlands as biodiversity conservation hot-spot: a multi-taxon approach

TL;DR: In this paper, the importance of urban woodlands to serve as potential sites for biodiversity conservation was evaluated by analyzing bird, carabid beetle and small mammal community responses to urbanisation at different spatial scales.
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Adapting cities to climate change: A systemic modelling approach

TL;DR: In this article, the authors introduce a systemic modelling approach to the problem of how best to adapt cities is especially challenging as urban areas will evolve as the climate changes, and examine adaptation strategies for cities requires a strong interdisciplinary approach involving urban planners, architects, meteorologists, building engineers, economists, and social scientists.
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Urbanisation induces early flowering: evidence from Platanus acerifolia and Prunus cerasus.

TL;DR: The results show that there is both a climatic gradient and a developmental gradient corresponding to the type of urbanisation in the town of Rennes, France, and the developmental phases of preflowering and flowering are influenced to differing extents by climatic variables.
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Combining narratives and modelling approaches to simulate fine scale and long-term urban growth scenarios for climate adaptation

TL;DR: This study provides a structural framework in six steps that combines narratives and model-based approaches to explore urban climate impacts in the long term and at a fine scale and provides insights into key triggers to improve urban adaptation.
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Description and validation of a “non path-dependent” model for projecting contrasting urban growth futures

TL;DR: In this paper, the authors present a model (SLEUTH*) for projecting contrasting urban growth futures, which is derived from the SLEUTH model, which has been modified in order to incorporate an additional spatially explicit factor, and to be used in a fully controlled forecasting mode.