Parametric design of close-to-nature forest landscape spatial structure

Liu Zhe; Zheng Xi

doi:10.12171/j.1000-1522.20220010

Journal of Beijing Forestry University > 2023 > 45(6): 100-107. > DOI: 10.12171/j.1000-1522.20220010

Liu Zhe, Zheng Xi. Parametric design of close-to-nature forest landscape spatial structure[J]. Journal of Beijing Forestry University, 2023, 45(6): 100-107. DOI: 10.12171/j.1000-1522.20220010

Citation:

Liu Zhe, Zheng Xi. Parametric design of close-to-nature forest landscape spatial structure[J]. Journal of Beijing Forestry University, 2023, 45(6): 100-107. DOI: 10.12171/j.1000-1522.20220010

Citation:

Liu Zhe, Zheng Xi. Parametric design of close-to-nature forest landscape spatial structure[J]. Journal of Beijing Forestry University, 2023, 45(6): 100-107. DOI: 10.12171/j.1000-1522.20220010

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Parametric design of close-to-nature forest landscape spatial structure

Liu Zhe,
Zheng Xi^,

School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China

More Information

Received Date: January 03, 2022
Revised Date: May 31, 2022
Accepted Date: May 24, 2023
Available Online: May 25, 2023
Published Date: June 24, 2023

Graphical Abstract

Abstract

Abstract

Objective Existing methods for creating close-to-nature forest landscapes lack control over the spatial structure of communities at the design stage restricted the benefits of urban forest construction. We can use the community spatial structure generation mechanism based on neighbor interactions to establish a design algorithm, realizing parametric design of near-natural forest spatial structure.
Method We built a design competition index (DCI) based on the crown competition index as an optimization rule for the spatial structure of close-to-nature forest. We used this rule to develop a design algorithm that included two modules: pre-distribution of plant habitat suitability, and iterative optimization of spatial structure. We applied this algorithm to a site in the Qinglong Lake Park in Beijing, referencing the characteristics of natural forest communities in the hilly areas of Beijing to verify its feasibility.
Result In the application scenario, this algorithm can reduce the DCI among plants through the optimization rule, optimize the spatial structure, and generate a plant distribution plan conforming to the characteristics of close-to-nature forest landscapes according to preset tree species types, suitability and proportion.
Conclusion This algorithm can generate a design community conforming to the spatial structure characteristics of close-to-nature forest communities. It can serve as an auxiliary design method for generating the spatial structure of close-to-nature forest landscapes. However, it needs to be further optimized according to close-to-nature forest indicators, accumulate feature parameters of close-to-nature forest plant species, morphological features and suitability, and improve the simulation degree of this algorithm for close-to-nature forest communities.
- close-to-nature forest,
- parametric design,
- spatial structure,
- crown competition index

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References (21)

References

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Parametric design of close-to-nature forest landscape spatial structure