Landscape Health Assessment of Suburban Forest Parks with Different Land Use Intensities and Grid Scales
Landscape health assessments are crucial for balancing conservation and use practices. However, studies considering different land use intensities and grid scales from a functional perspective are limited. This study aimed to develop a landscape classification and indicator system based on functional characteristics using Xiqiao Mountain National Forest Park and Yunyong National Forest Park as research objects. The entropy weight method was used to determine indicator weights, and grid analysis and spatial interpolation were used to analyze the spatial distribution, impact differences, and factors influencing landscape health. The effect of different grid scales on landscape health under varying land use intensities first weakened and then strengthened with increasing grid scales; the optimal grid scales for the two parks were 54 × 54 m and 66 × 66 m, respectively. The forest/non-forest area ratio decreased as the health level of the landscape increased. At the optimal grid scale, the threshold range of the forest/non-forest area ratio for achieving optimal landscape health was 4.46–5.81 and 0.79–0.87 in the two parks, respectively. The results indicate that improved landscape health in suburban forest parks requires the intensive development of construction land, enhanced forest management, and functional synergistic designs to promote coordinated functional development.
Authors
- Wanhui Qian
- Hao Luo (ORCID: https://orcid.org/0000-0002-5236-5744)
- Chi Zhang (ORCID: https://orcid.org/0000-0002-4238-6015)
- Lingyu Zhang (ORCID: https://orcid.org/0000-0002-4242-3314)
- Qing Zhao (ORCID: https://orcid.org/0000-0003-3744-1689)
- Xiaojun Wu (ORCID: https://orcid.org/0000-0002-1252-7526)
Institutions
- Guangdong Academy of Forestry (CN)
Publication Details
- Journal
- Land
- Published
- 2025-08-08
- DOI
- https://doi.org/10.3390/land14081611
- Primary Topic
- Land Use and Ecosystem Services
- Type
- article
- Field-Weighted Citation Impact
- 0.00