摘要
In this study, multitemporal landslide layers combined with landscape metrics, spatial analysis, and logistic regression were used to monitor spatiotemporal changes in forest restoration and identify key factors promoting natural restoration. The total area of landslides caused by Typhoon Morakot markedly decreased within the first 2 years, followed by a gradual decline. Ecological regeneration peaked in 2012 and then stabilized. Logistic regression indicated landscape indicators such as CONTIG (a patch metric), distance from the landslide boundary, AREA (a patch metric), elevation, and slope gradient as key factors influencing natural restoration. These findings highlight the importance of seed source availability in the natural restoration of landslide areas. Landslide areas with more dispersed landscapes, larger areas, lower elevations, and gentler slopes appear to be more conducive to natural restoration. The results may guide future forest management.
| 貢獻的翻譯標題 | Landscape Metrics and Spatial Statistics for Monitoring Natural Restoration After Landslides |
|---|---|
| 原文 | 繁體中文 |
| 頁(從 - 到) | 20-33 |
| 頁數 | 14 |
| 期刊 | Journal of Chinese Soil and Water Conservation |
| 卷 | 56 |
| 發行號 | 1 |
| DOIs | |
| 出版狀態 | 已發佈 - 2025 1月 |
Keywords
- landscape metric
- landslide
- logistic regression
- natural restoration
- spatial autocorrelation
ASJC Scopus subject areas
- 水科學與技術
- 岩土工程與工程地質
- 土壤科學
- 地表過程
指紋
深入研究「應用地景指標與空間統計方法於崩塌復育之研究」主題。共同形成了獨特的指紋。引用此
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