Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR025233 |
Deforestation Effects on Rainfall-Induced Shallow Landslides: Remote Sensing and Physically-Based Modelling | |
Lehmann, Peter; von Ruette, Jonas; Or, Dani | |
2019-11-29 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
文章类型 | Article;Early Access |
语种 | 英语 |
国家 | Switzerland |
英文摘要 | Deforestation of steep slopes may temporarily reduce evapotranspiration and lessen root reinforcement thus potentially enhancing landslide susceptibility. Quantifying the effects of deforestation and associated perturbations on landslide characteristics remains a challenge, especially for predictions in remote areas with limited information. We applied the STEP-TRAMM model that uses publicly available climatic and landscape information to assess effects of forest alteration on hydro-mechanical processes. The model considers two types of forest alterations: (i) removal of root reinforcement following permanent forest conversion, and (ii) time dependent root decay and regrowth following clear-cut timber harvesting. The model was applied to four study areas in different climatic regions (New Zealand, Oregon, Sumatra and Cambodia). We compared model predictions of landslide metrics with satellite-imaging of landslides following deforestation. Although we observe a higher propensity and larger landslides in deforested areas, effects were sensitive to deforestation practices and patterns. The largest increase in landslide area was associated with large and interconnected deforested tracts within a few years after deforestation as determined by competition between root decay and forest regrowth. For patchy small-scale forest conversion, the landslide areas were smaller but could occur many years after deforestation (> 10 years). The modeling framework offers ability to evaluate forest alteration scenarios through their potential impact on landslide hazard in specific regions of the landscape. |
英文关键词 | Landslide Remote Sensing Modeling Rainfall |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000499316000001 |
WOS关键词 | ROOT REINFORCEMENT ; FOREST MANAGEMENT ; DEBRIS FLOWS ; FREQUENCY ; STRENGTH ; COHESION ; ISLAND |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/223939 |
专题 | 资源环境科学 |
作者单位 | ETH, Soil & Terr Environm Phys, Zurich, Switzerland |
推荐引用方式 GB/T 7714 | Lehmann, Peter,von Ruette, Jonas,Or, Dani. Deforestation Effects on Rainfall-Induced Shallow Landslides: Remote Sensing and Physically-Based Modelling[J]. WATER RESOURCES RESEARCH,2019. |
APA | Lehmann, Peter,von Ruette, Jonas,&Or, Dani.(2019).Deforestation Effects on Rainfall-Induced Shallow Landslides: Remote Sensing and Physically-Based Modelling.WATER RESOURCES RESEARCH. |
MLA | Lehmann, Peter,et al."Deforestation Effects on Rainfall-Induced Shallow Landslides: Remote Sensing and Physically-Based Modelling".WATER RESOURCES RESEARCH (2019). |
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