Articles | Volume 15, issue 6
https://doi.org/10.5194/nhess-15-1311-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-15-1311-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Forest harvesting is associated with increased landslide activity during an extreme rainstorm on Vancouver Island, Canada
J. N. Goetz
CORRESPONDING AUTHOR
University of Waterloo, Department of Geography and Environmental Management, Waterloo, Ontario, Canada
Friedrich Schiller University, Department of Geography, Jena, Germany
R. H. Guthrie
SNC-Lavalin, Geohazards and Geomorphology, Calgary, Alberta, Canada
A. Brenning
University of Waterloo, Department of Geography and Environmental Management, Waterloo, Ontario, Canada
Friedrich Schiller University, Department of Geography, Jena, Germany
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Cited
38 citations as recorded by crossref.
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- The propagation of inventory-based positional errors into statistical landslide susceptibility models S. Steger et al. 10.5194/nhess-16-2729-2016
- The influence of forest cover on landslide occurrence explored with spatio-temporal information E. Schmaltz et al. 10.1016/j.geomorph.2017.04.024
- Optimizing and validating the Gravitational Process Path model for regional debris-flow runout modelling J. Goetz et al. 10.5194/nhess-21-2543-2021
- Towards the Use of Land Use Legacies in Landslide Modeling: Current Challenges and Future Perspectives in an Austrian Case Study R. Knevels et al. 10.3390/land10090954
- From spatio-temporal landslide susceptibility to landslide risk forecast T. Wang et al. 10.1016/j.gsf.2023.101765
- Landslide susceptibility prediction considering land use change and human activity: A case study under rapid urban expansion and afforestation in China H. Xiong et al. 10.1016/j.scitotenv.2023.161430
- Correlation does not imply geomorphic causation in data-driven landslide susceptibility modelling – Benefits of exploring landslide data collection effects S. Steger et al. 10.1016/j.scitotenv.2021.145935
- Completeness of landslide inventory and landslide susceptibility mapping using logistic regression method in Ceyhan Watershed (southern Turkey) S. Tekin 10.1007/s12517-021-07583-5
- Hazard assessment and mitigation of non-seismically fatal landslides in China F. Zhang et al. 10.1007/s11069-020-04491-x
- Natural disasters related to rainfall trends in Espírito Santo, southeastern Brazil M. de Oliveira Roza et al. 10.1007/s00704-023-04703-x
- Shallow landslides and vegetation at the catchment scale: A perspective C. Phillips et al. 10.1016/j.ecoleng.2021.106436
- Relation between land cover and landslide susceptibility in Val d'Aran, Pyrenees (Spain): Historical aspects, present situation and forward prediction H. Shu et al. 10.1016/j.scitotenv.2019.07.363
- Landslide characteristics and spatial distribution in the Rwenzori Mountains, Uganda L. Jacobs et al. 10.1016/j.jafrearsci.2016.05.013
- Reconstruction of a flash flood event through a multi-hazard approach: focus on the Rwenzori Mountains, Uganda L. Jacobs et al. 10.1007/s11069-016-2458-y
- Exploring the post-harvest ‘window of vulnerability’ to landslides in New Zealand steepland plantation forests C. Phillips et al. 10.1016/j.ecoleng.2024.107300
- National-scale data-driven rainfall induced landslide susceptibility mapping for China by accounting for incomplete landslide data Q. Lin et al. 10.1016/j.gsf.2021.101248
- Semiautomatic inventory and geomorphological characterization of mass movements using high-resolution images and open-source software in the Ribeira de Iguape Valley, Brazil J. Bonini et al. 10.1016/j.jsames.2022.104029
- Hydrological functioning of forested catchments, Central Himalayan Region, India N. Qazi 10.1186/s40663-020-00275-8
- Forest harvesting impacts on microclimate conditions and sediment transport activities in a humid periglacial environment F. Imaizumi et al. 10.5194/hess-23-155-2019
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- Soil disturbance and stream-adjacent disturbance from tethered logging in Oregon and Washington C. Chase et al. 10.1016/j.foreco.2019.117672
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- Post‐landslide soil and vegetation recovery in a dry, montane system is slow and patchy B. Buma & Ł. Pawlik 10.1002/ecs2.3346
- Impacts of future climate and land cover changes on landslide susceptibility: regional scale modelling in the Val d’Aran region (Pyrenees, Spain) M. Hürlimann et al. 10.1007/s10346-021-01775-6
- Data‐driven modelling of joint debris flow release susceptibility and connectivity S. Steger et al. 10.1002/esp.5421
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- Towards quantitative evidence of Eco-DRR in mountains: A concise review L. Dorren & C. Moos 10.1016/j.ecoleng.2021.106485
- Landslide Susceptibility Mapping Using Machine Learning: A Danish Case Study A. Ageenko et al. 10.3390/ijgi11060324
- A Holistic Analysis for Landslide Susceptibility Mapping Applying Geographic Object-Based Random Forest: A Comparison between Protected and Non-Protected Forests Z. Shirvani 10.3390/rs12030434
- Aquatic Biological Diversity Responses to Flood Disturbance and Forest Management in Small, Forested Watersheds R. Danehy et al. 10.3390/w13192793
- The performance of landslide susceptibility models critically depends on the quality of digital elevation models J. Brock et al. 10.1080/19475705.2020.1776403
- Landslide susceptibility near highways is increased by 1 order of magnitude in the Andes of southern Ecuador, Loja province A. Brenning et al. 10.5194/nhess-15-45-2015
- Landslide Damage from Extreme Rainstorm Geological Accumulation Layers within Plain River Basins J. Yang 10.2112/SI82-001.1
- Landslide susceptibility modeling in a landslide prone area in Mazandarn Province, north of Iran: a comparison between GLM, GAM, MARS, and M-AHP methods H. Pourghasemi & M. Rossi 10.1007/s00704-016-1919-2
- Geomorphic edge effects in response to abiotic and anthropogenic disturbances in forest ecosystems of the Gorce Mountains, Western Carpathians Ł. Pawlik et al. 10.1016/j.catena.2019.02.013
34 citations as recorded by crossref.
- Semiautomatic Inventory and Geomorphological Characterization of Mass Movements Using High-Resolution Images and Open Source Software in the Ribeira De Iguape Valley, Brazil J. Bonini et al. 10.2139/ssrn.4159904
- The propagation of inventory-based positional errors into statistical landslide susceptibility models S. Steger et al. 10.5194/nhess-16-2729-2016
- The influence of forest cover on landslide occurrence explored with spatio-temporal information E. Schmaltz et al. 10.1016/j.geomorph.2017.04.024
- Optimizing and validating the Gravitational Process Path model for regional debris-flow runout modelling J. Goetz et al. 10.5194/nhess-21-2543-2021
- Towards the Use of Land Use Legacies in Landslide Modeling: Current Challenges and Future Perspectives in an Austrian Case Study R. Knevels et al. 10.3390/land10090954
- From spatio-temporal landslide susceptibility to landslide risk forecast T. Wang et al. 10.1016/j.gsf.2023.101765
- Landslide susceptibility prediction considering land use change and human activity: A case study under rapid urban expansion and afforestation in China H. Xiong et al. 10.1016/j.scitotenv.2023.161430
- Correlation does not imply geomorphic causation in data-driven landslide susceptibility modelling – Benefits of exploring landslide data collection effects S. Steger et al. 10.1016/j.scitotenv.2021.145935
- Completeness of landslide inventory and landslide susceptibility mapping using logistic regression method in Ceyhan Watershed (southern Turkey) S. Tekin 10.1007/s12517-021-07583-5
- Hazard assessment and mitigation of non-seismically fatal landslides in China F. Zhang et al. 10.1007/s11069-020-04491-x
- Natural disasters related to rainfall trends in Espírito Santo, southeastern Brazil M. de Oliveira Roza et al. 10.1007/s00704-023-04703-x
- Shallow landslides and vegetation at the catchment scale: A perspective C. Phillips et al. 10.1016/j.ecoleng.2021.106436
- Relation between land cover and landslide susceptibility in Val d'Aran, Pyrenees (Spain): Historical aspects, present situation and forward prediction H. Shu et al. 10.1016/j.scitotenv.2019.07.363
- Landslide characteristics and spatial distribution in the Rwenzori Mountains, Uganda L. Jacobs et al. 10.1016/j.jafrearsci.2016.05.013
- Reconstruction of a flash flood event through a multi-hazard approach: focus on the Rwenzori Mountains, Uganda L. Jacobs et al. 10.1007/s11069-016-2458-y
- Exploring the post-harvest ‘window of vulnerability’ to landslides in New Zealand steepland plantation forests C. Phillips et al. 10.1016/j.ecoleng.2024.107300
- National-scale data-driven rainfall induced landslide susceptibility mapping for China by accounting for incomplete landslide data Q. Lin et al. 10.1016/j.gsf.2021.101248
- Semiautomatic inventory and geomorphological characterization of mass movements using high-resolution images and open-source software in the Ribeira de Iguape Valley, Brazil J. Bonini et al. 10.1016/j.jsames.2022.104029
- Hydrological functioning of forested catchments, Central Himalayan Region, India N. Qazi 10.1186/s40663-020-00275-8
- Forest harvesting impacts on microclimate conditions and sediment transport activities in a humid periglacial environment F. Imaizumi et al. 10.5194/hess-23-155-2019
- Future changes in precipitation-caused landslide frequency in British Columbia S. Sobie 10.1007/s10584-020-02788-1
- Testing for broad-scale relationships between freshwater habitat pressure indicators and Pacific salmon population trends S. Peacock et al. 10.1016/j.ecolind.2023.109935
- Soil disturbance and stream-adjacent disturbance from tethered logging in Oregon and Washington C. Chase et al. 10.1016/j.foreco.2019.117672
- Using Multiple Index Comprehensive Method to Assess Urban Rainstorm Disaster Risk in Jiangsu Province, China J. Chen et al. 10.1155/2020/8973025
- Post‐landslide soil and vegetation recovery in a dry, montane system is slow and patchy B. Buma & Ł. Pawlik 10.1002/ecs2.3346
- Impacts of future climate and land cover changes on landslide susceptibility: regional scale modelling in the Val d’Aran region (Pyrenees, Spain) M. Hürlimann et al. 10.1007/s10346-021-01775-6
- Data‐driven modelling of joint debris flow release susceptibility and connectivity S. Steger et al. 10.1002/esp.5421
- Forest ecosystem properties emerge from interactions of structure and disturbance J. Mitchell et al. 10.1002/fee.2589
- Eco-DRR practices and research: Visualization and analysis of global perspectives J. Joseph et al. 10.1016/j.ijdrr.2024.104271
- Towards quantitative evidence of Eco-DRR in mountains: A concise review L. Dorren & C. Moos 10.1016/j.ecoleng.2021.106485
- Landslide Susceptibility Mapping Using Machine Learning: A Danish Case Study A. Ageenko et al. 10.3390/ijgi11060324
- A Holistic Analysis for Landslide Susceptibility Mapping Applying Geographic Object-Based Random Forest: A Comparison between Protected and Non-Protected Forests Z. Shirvani 10.3390/rs12030434
- Aquatic Biological Diversity Responses to Flood Disturbance and Forest Management in Small, Forested Watersheds R. Danehy et al. 10.3390/w13192793
- The performance of landslide susceptibility models critically depends on the quality of digital elevation models J. Brock et al. 10.1080/19475705.2020.1776403
4 citations as recorded by crossref.
- Landslide susceptibility near highways is increased by 1 order of magnitude in the Andes of southern Ecuador, Loja province A. Brenning et al. 10.5194/nhess-15-45-2015
- Landslide Damage from Extreme Rainstorm Geological Accumulation Layers within Plain River Basins J. Yang 10.2112/SI82-001.1
- Landslide susceptibility modeling in a landslide prone area in Mazandarn Province, north of Iran: a comparison between GLM, GAM, MARS, and M-AHP methods H. Pourghasemi & M. Rossi 10.1007/s00704-016-1919-2
- Geomorphic edge effects in response to abiotic and anthropogenic disturbances in forest ecosystems of the Gorce Mountains, Western Carpathians Ł. Pawlik et al. 10.1016/j.catena.2019.02.013
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