As climate change intensifies and the biodiversity crisis continues to deepen, forest ecosystems are facing unprecedented degradation pressure. As a core method of ecological restoration, forest stand replanting has a profound impact on the stability of global ecosystems and the protection of biodiversity. Traditional forest stand replanting work mainly focuses on the restoration of forest area, but often ignores the maintenance of forest ecosystem stability and the protection of biodiversity. In addition, scientific exploration is also extremely limited in the study of forest replanting sites. In view of this, this paper proposes a stand replanting method based on Delaunay triangulation algorithm and uniformity theory. This method uses the Delaunay triangulation algorithm to divide the forest stand into a Delaunay triangular network. In the Delaunay triangular network, only part or all of the acute triangles are replanted. Then which acute triangles are replanted? According to the requirements of the area of the acute triangles in the Delaunay triangular network and the density of stand replanting, the acute triangles that need to be replanted are determined, and the incenter of the acute triangle that needs to be replanted is used as the replanting point for replanting. After completing the first replanting of the Delaunay triangular net, if the density of replanting density of the forest stand is met, the replanting will be completed. Otherwise, the Delaunay triangulation algorithm is used again to divide the forest stand after the last replantation into a new Delaunay triangulation network, and the above replantation operation is performed again until the density requirement of forest stand replantation is met, and the forest stand replantation is completed. Regarding the replanting method of this forest stand, we conducted a case verification and used the uniformity theory to determine the forest stand pattern type after replanting. The forest stand pattern using the incenter of the acute triangle in the Delaunay triangular network as the replanting point, the proportion of random pattern types was significantly higher than that of traditional replanting methods such as the circumcenter and the barycenter. It fully proves that this forest stand replanting method can not only achieve ecological restoration, but also accurately determine the replanting points of forest trees. This in turn significantly improves the stability of the forest ecosystem and ensures the sustainability of biodiversity.
| [1] |
Duyckaerts C, Godefroy G. Voronoi tessellation to study the numerical density and the spatial distribution of neurones. J Chem Neuroanat, 2000, 20(1): 83-92
|
| [2] |
Guo LL, Pan P, Ouyang XZ, et al.. Short-term effects of thinning and replanting on growth and carbon density of Pinus massoniana low-efficiency stands. J Southwest for Univ (Nat Sci), 2019, 39(3): 48-54
|
| [3] |
Hui GY. Application research on spatial structure parameters of forest stand based on adjacent wood relationships. J Beijing for Univ, 2013, 35(4): 1-7
|
| [4] |
Li Y, Liu JM, Dong XB, et al.. Causes and improvement methods of low-quality forest in the Greater Khingan Range forest area. J Northeast for Univ, 2012
|
| [5] |
Liu S, Wu SC, Wang H, et al.. Research on Spatial Models and Distribution Patterns of Forests Based on Voronoi Diagrams. J Acta Ecologica Sinica, 2014, 34(6): 1436-1443
|
| [6] |
Luo CW (2014) Uniformity theory. Science Press, Beijing, pp 1−20, 110−115
|
| [7] |
North M, Chen JQ, Oakley B, Song B, Rudnicki M, Gray A, Innes J. Forest stand structure and pattern of old-growth western hemlock/Douglas-fir and mixed-conifer forests. For Sci, 2004, 50(3): 299-311
|
| [8] |
Pommerening A. Approaches to quantifying forest structures. Forestry, 2002, 75(3): 305-324
|
| [9] |
Shi YQ, Lang CL, Qian HF. Research on the distance diversity of forest ecosystems based on the uniformity theory. J for Res, 2025, 36(1): 98
|
| [10] |
Shi YQ, Gao XL, Lang CL, Luo CW. A method for determining the spatial pattern of forest trees based on the uniformity theory. J for Res, 2024, 35(1): 121
|
| [11] |
United Nations Environment Programme (2024) stopping deforestation to help tackle the climate crisis
|
| [12] |
Wang HF. The effect of stand density on the growth of 30-year-old Chinese fir plantations. J Subtrop Agric Res, 2012, 8(3): 156-159
|
| [13] |
Yu YT, Wang XJ, Liu Li, et al (2019) Structural analysis of spruce forests under different selective cutting intensities based on Voronoi diagrams. J Northwest A&F University (Nat Sci Edn) 47(9)
|
| [14] |
Zhao CY, Li JP (2017) Position and spatial configuration of artificial pure stand replanting for Chinese fir based on Voronoi graph and Delaunay triangulation. J Central South Univ For Technol 37(2). https://doi.org/10.14067/j.cnki.1673-923x.2017.02.001
|
| [15] |
Zhao CY, Li JP, Yuan XH, et al.. Analysis of forest spatial patterns using Tyson polygons and Deloni triangular networks. J Survey Map Sci, 2014, 39(10): 76-80
|
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