應用地景指標與空間統計方法於崩塌復育之研究

Translated title of the contribution: Landscape Metrics and Spatial Statistics for Monitoring Natural Restoration After Landslides
  • Uen Hao Wang
  • , Han Ching Hsieh
  • , Pei Jung Wang
  • , Shyue Cherng Liaw*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Translated title of the contributionLandscape Metrics and Spatial Statistics for Monitoring Natural Restoration After Landslides
Original languageChinese (Traditional)
Pages (from-to)20-33
Number of pages14
JournalJournal of Chinese Soil and Water Conservation
Volume56
Issue number1
DOIs
Publication statusPublished - 2025 Jan

ASJC Scopus subject areas

  • Water Science and Technology
  • Geotechnical Engineering and Engineering Geology
  • Soil Science
  • Earth-Surface Processes

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