Land Use Change Scenarios and Landslide Susceptibility Zonation: The Briga Catchment Test Area (Messina, Italy)

Reichenbach, Paola; Busca, Claudia; Mondini, Alessandro Cesare; Rossi, Mauro

doi:10.1007/978-3-319-09300-0_104

Cited by 9 publications

(7 citation statements)

References 5 publications

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“…Due to lack of data on landslide hazard or risk, we used a landslide susceptibility map. Landslide susceptibility analysis has already been used to study the influence of past and current land cover (Chitu et al 2015;Reichenbach et al 2015). Still, landslide data used for generating the susceptibility map could ignore landslides occurring in forests.…”

Section: Discussionmentioning

confidence: 99%

Future Forest Cover Change Scenarios with Implications for Landslide Risk: An Example from Buzau Subcarpathians, Romania

Malek

Boerboom

Glade

2015

Environmental Management

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This study focuses on future forest cover change in Buzau Subcarpathians, a landslide prone region in Romania. Past and current trends suggest that the area might expect a future increase in deforestation. We developed spatially explicit scenarios until 2040 to analyze the spatial pattern of future forest cover change and potential changes to landslide risk. First, we generated transition probability maps using the weights of evidence method, followed by a cellular automata allocation model. We performed expert interviews, to develop two future forest management scenarios. The Alternative scenario (ALT) was defined by 67% more deforestation than the Business as Usual scenario (BAU). We integrated the simulated scenarios with a landslide susceptibility map. In both scenarios, most of deforestation was projected in areas where landslides are less likely to occur. Still, 483 (ALT) and 276 (BAU) ha of deforestation were projected on areas with a high-landslide occurrence likelihood. Thus, deforestation could lead to a local-scale increase in landslide risk, in particular near or adjacent to forestry roads. The parallel process of near 10% forest expansion until 2040 was projected to occur mostly on areas with high-landslide susceptibility. On a regional scale, forest expansion could so result in improved slope stability. We modeled two additional scenarios with an implemented landslide risk policy, excluding high-risk zones. The reduction of deforestation on high-risk areas was achieved without a drastic decrease in the accessibility of the areas. Together with forest expansion, it could therefore be used as a risk reduction strategy.

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Section: Discussionmentioning

confidence: 99%

Future Forest Cover Change Scenarios with Implications for Landslide Risk: An Example from Buzau Subcarpathians, Romania

Malek

Boerboom

Glade

2015

Environmental Management

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“…To show LAND-SE functionalities and output types, we use as example the landslide susceptibility modelling and zonation originating from two articles published by Reichenbach et al (2014Reichenbach et al ( , 2015. In the area selected, as an example, we perform the following analysis, using different configurations:…”

Section: Land-se Applicationsmentioning

confidence: 99%

“…The elevation ranges from the sea level to about 500 m and the terrain gradient from 0 to 80 • . Landslides, including shallow soil slides and debris flows, deep-seated rotational and translational slides, and complex and compound failures (Varnes, 1984), are abundant, and caused primarily by rainfall Reichenbach et al, 2014Reichenbach et al, , 2015. On 1 October 2009, the Briga catchment and the surrounding areas were hit by an intense storm (Maugeri and Motta, 2011) that triggered more than 1000 shallow landslides, mainly shallow soil slides and debris flows (Varnes, 1984), caused 37 fatalities, numerous injured people and severe damages in the affected villages and along the transportation network.…”

Section: Description Of the Example Area And Available Datamentioning

confidence: 99%

“…2), and the distribution and types of preexisting landslides. In addition, two maps reporting the land use in different periods were prepared exploiting available aerial photographs and very high resolution (VHR) satellite imagery (Reichenbach et al, , 2015. The first map was derived from the analysis of the same black and white aerial photograph used to map pre-event landslides.…”

Section: Description Of the Example Area And Available Datamentioning

confidence: 99%

“…This example illustrates how LAND-SE can be utilized to evaluate the impact of different land use scenarios on landslide susceptibility zonation (Reichenbach et al, , 2015 comparing the distribution of stable/unstable slope units and the success rate curves. The current, the past, and possible future land use distributions were evaluated on landslide susceptibility classes.…”

Section: Landslide Susceptibility Scenarios Zonationmentioning

confidence: 99%

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LAND-SE: a software for statistically based landslide susceptibility zonation, version 1.0

Rossi

Reichenbach

2016

Geosci. Model Dev.

Self Cite

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Abstract. Landslide susceptibility (LS) assessment provides a relative estimate of landslide spatial occurrence based on local terrain conditions. A literature review revealed that LS evaluation has been performed in many study areas worldwide using different methods, model types, different partition of the territory (mapping units) and a large variety of geo-environmental data. Among the different methods, statistical models have been largely used to evaluate LS, but the minority of articles presents a complete and comprehensive LS assessment that includes model performance analysis, prediction skills evaluation, and estimation of the errors and uncertainty. The aim of this paper is to describe LAND-SE (LANDslide Susceptibility Evaluation) software that performs susceptibility modelling and zonation using statistical models, quantifies the model performances, and the associated uncertainty. The software is implemented in R, a free software environment for statistical computing and graphics. This provides users with the possibility to implement and improve the code with additional models, evaluation tools, or output types. The paper describes the software structure, explains input and output, and illustrates specific applications with maps and graphs. The LAND-SE script is delivered with a basic user guide and three example data sets.

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Comparative Exploration of Statistical Techniques for Landslide Identification and Zonation Mapping and Assessment: A Critical Review

Dey

Das

2022

Communications in Computer and Information Science

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Land Use Change Scenarios and Landslide Susceptibility Zonation: The Briga Catchment Test Area (Messina, Italy)

Cited by 9 publications

References 5 publications

Future Forest Cover Change Scenarios with Implications for Landslide Risk: An Example from Buzau Subcarpathians, Romania

Future Forest Cover Change Scenarios with Implications for Landslide Risk: An Example from Buzau Subcarpathians, Romania

LAND-SE: a software for statistically based landslide susceptibility zonation, version 1.0

Comparative Exploration of Statistical Techniques for Landslide Identification and Zonation Mapping and Assessment: A Critical Review

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