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應用地景指標與空間統計方法於崩塌復育之研究

  • Uen Hao Wang
  • , Han Ching Hsieh
  • , Pei Jung Wang
  • , Shyue Cherng Liaw*
  • *此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

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
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

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