Climate-adaptive Planting Design in arid area: A Systematic Framework for Green Infrastructure Design in the Karun River

Document Type : Research Paper

Authors

1 Department of environmental sciences and Engineering, Malayer University, Malayer, Iran

2 Environmental Design Dept. University of Tehran

3 university of tehran

10.29252/aridbiom.2025.21741.2016

Abstract

Abstract
The present study provides a systematic framework for resilient landscape design against climate change, focusing on the selection of suitable plant species. In this framework, a set of ecological, social, and economic criteria have been selected considering the environmental and socio-economic conditions, and then using the hierarchical analysis method and TOPSIS method, the combination of adaptive planting to improve biodiversity and water resources management has been obtained. Furthermore, for the practical use of this framework, the border of the Karun River in Ahwaz was chosen as a case study. The results show the effectiveness of the combined approach in selecting plant species that can be resilient to the adverse effects of climate change in addition to fulfilling social and economic goals. According to the obtained results, in general, the category of ecological indicators related to the phenomenon of drought and extreme heat had the highest weight compared to other climatic phenomena in the study area, with a rate of 0.661. Moreover, the sub-indices of resistance to dehydration in the phenomenon of drought and extreme heat (0.24), the flexibility of branches and leaves in the phenomenon of storm and dust (0.648), and resistance to waterlogging in the phenomenon of flood (0.354) had the greatest impact on the selection of plant species. Therefore, according to the TOPSIS index, Ziziphus spina-christi, Capparis spinosa, Potamogeton nodosus, and Aeluropus littoralis received the highest score and rank 1, whereas Morus nigra, Bougainvillea glabra, Potamogeton nodosus, and Reseda alba received the lowest score. The proposed framework of this research provides a systematic and flexible approach for environmental engineers, landscape designers, and environmental planners to make more informed decisions in the face of climate change uncertainties.

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