Bioinspired adaptive landscape design: Environmental responsiveness strategy based on biomimetic principles—Driven molecular and cellular biomechanics

  • Zhiwei Zhang School of Architecture and Design, Chongqing College of Humanities, Science & Technology, Chongqing 401524, China
  • Xiaoxiao Wang School of Architecture and Civil Engineering, Chongqing Metropolitan College of Science and Technology, Chongqing 402167, China
Keywords: biomimetic; landscape design; integrated elephant herding inspired swarm optimization (IEHSO); cellular and molecular biology; environmental responsiveness
Article ID: 485

Abstract

In an era of ecological degradation and urban growth, the significance of delving into the cellular and molecular biology realm becomes evident for bioinspired adaptive landscape design. At the cellular and molecular level, organisms possess intricate mechanisms that govern their responses and adaptations. This study, within the context of landscape architecture, explores how these microscopic biological processes can inspire macroscopic design strategies. This study investigates the use of biomimetic principles in landscape architecture, incorporating bioinspired adaptive techniques such as Integrated Elephant Herding Inspired Swarm Optimization (IEHSO) to optimize design solutions that draw inspiration from natural systems to create resilient and sustainable environments. The efficiency in resource utilization and biodiversity enhancement in nature can be attributed to the precise regulation of molecular pathways and cellular functions. By investigating dynamic interactions in ecosystems, design techniques that mimic nature’s adaptive strategies, such as self-organization, resource efficiency, and biodiversity enhancement, can be uncovered. Concepts like fractal geometry, modular design, and the golden ratio, which are prevalent in natural forms, may have its origin in the growth patterns regulated by cellular and molecular cues. Bioinspired approaches lead to novel solutions for solving concerns such as climate change, habitat loss, and urban heat islands using case studies of contemporary landscape projects, which have been demonstrated. The proposed method is implemented using Python software. The IEHSO model demonstrates precision (91.3%), F1-score (93.85%), recall (93.8%), and accuracy (95.1%) significantly enhancing sustainable environments. The findings show that adaptable landscapes have the potential to reflect the complexity of natural systems while also actively contributing to environmental sustainability. This study aims to highlight the essential role of cellular and molecular biology in creating landscapes that are not only aesthetically pleasing but also ecologically sustainable and robust, thereby advancing the field by bridging the gap between microscopic biological phenomena and macroscopic landscape design.

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Published
2025-01-03
How to Cite
Zhang, Z., & Wang, X. (2025). Bioinspired adaptive landscape design: Environmental responsiveness strategy based on biomimetic principles—Driven molecular and cellular biomechanics. Molecular & Cellular Biomechanics, 22(1), 485. https://doi.org/10.62617/mcb485
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Article