Javascript must be enabled to continue!
Landslide mobilization rates in the Anthropocene: insights from a 60-year observation period in the North-Tanganyika-Kivu Rift region, Africa
View through CrossRef
<p>During the Anthropocene, the impact of humans on Earth surface processes has increased exponentially, often surpassing the importance of natural drivers. Also in mountainous areas, landslide mobilization rates are exacerbated by human disturbances of the landscape such as deforestation, road constructions, and mining processes. However, investigating these interactions remains difficult in many regions due to a lack of sufficiently long observation periods, preferably over a large area, so that the presence of extreme landslide events (triggered by rainfall or earthquakes) does not induce an observation bias. Here, we investigate landslide mobilization rates in the densely populated North Tanganyika-Kivu Rift Region (NTK Rift), a prominent landslide hotspot in Africa. We use ca. 2,400 panchromatic aerial photographs from 1958 in combination with recent satellite imagery to assess the long-term landslide mobilization rates over a large area of ca. 21,000 km<sup>2</sup>.</p><p>By estimating the volume of the deep-seated and shallow rapidly-moving landslides using empirical volume-area scaling relationships, we estimate that the average landslide mobilization rate in the NTK Rift is ca. 31 m<sup>3</sup> km<sup>-2</sup> year<sup>-1</sup> in actively incising, rejuvenating landscapes and ca. 12 m<sup>3</sup> km<sup>-2</sup> year<sup>-1</sup> in relict landscapes. The mobilization rates in the NTK Rift are dominated by the largest landslides. For instance, the 15 largest deep-seated landslides account for 50% of the total rate. Overall, we observe mobilization rates in the NTK Rift that are somewhat lower than what a global model predicts. These relatively low rates could be explained by four factors: (i) the absence of major landslide-triggering earthquakes during our 60-year observation period, (ii) the exclusion of earthflows from our analysis due to a lack of information on the depth and velocity of these instances, (iii) the relatively large size of our study area which reduces biases linked to extreme rainfall, (iv) the fact that the NTK Rift is a mountain range in an extension area, which differs from orogenic mountainous areas, where most landslide mobilization rates are reported; and (v) uncertainties on the global landslide mobilization rate model.</p><p>In rejuvenated landscapes, roughly 5% of the sediment mobilization by rapidly-moving landslides is linked to human activity, while in relict landscapes this figure rises to 18%, notably due to mining and road construction. The role of human activity is limited as compared to the recent occurrence of some large landslides, which seem linked to natural causes and dominate the overall mobilization rates. Moreover, the limited role of human activity must be balanced with the fact that the NTK Rift, although highly populated, remains relatively untouched by major road infrastructure constructions. While previous studies have found that deforestation has a large impact on the landside risk (i.e. the incidence of landslide fatalities), its impact on the observed mobilization rates appears to be much less important. The landslides associated with deforestation are commonly shallow debris avalanches with a limited size and rather high mobility.</p><p>Overall, our results significantly contribute to a better understanding of landslide mobilization and its controlling factors, especially by proving much-needed long-term observations for a currently under-researched type of environment.</p><div></div>
Title: Landslide mobilization rates in the Anthropocene: insights from a 60-year observation period in the North-Tanganyika-Kivu Rift region, Africa
Description:
<p>During the Anthropocene, the impact of humans on Earth surface processes has increased exponentially, often surpassing the importance of natural drivers.
Also in mountainous areas, landslide mobilization rates are exacerbated by human disturbances of the landscape such as deforestation, road constructions, and mining processes.
However, investigating these interactions remains difficult in many regions due to a lack of sufficiently long observation periods, preferably over a large area, so that the presence of extreme landslide events (triggered by rainfall or earthquakes) does not induce an observation bias.
Here, we investigate landslide mobilization rates in the densely populated North Tanganyika-Kivu Rift Region (NTK Rift), a prominent landslide hotspot in Africa.
We use ca.
2,400 panchromatic aerial photographs from 1958 in combination with recent satellite imagery to assess the long-term landslide mobilization rates over a large area of ca.
21,000 km<sup>2</sup>.
</p><p>By estimating the volume of the deep-seated and shallow rapidly-moving landslides using empirical volume-area scaling relationships, we estimate that the average landslide mobilization rate in the NTK Rift is ca.
31 m<sup>3</sup> km<sup>-2</sup> year<sup>-1</sup> in actively incising, rejuvenating landscapes and ca.
12 m<sup>3</sup> km<sup>-2</sup> year<sup>-1</sup> in relict landscapes.
The mobilization rates in the NTK Rift are dominated by the largest landslides.
For instance, the 15 largest deep-seated landslides account for 50% of the total rate.
Overall, we observe mobilization rates in the NTK Rift that are somewhat lower than what a global model predicts.
These relatively low rates could be explained by four factors: (i) the absence of major landslide-triggering earthquakes during our 60-year observation period, (ii) the exclusion of earthflows from our analysis due to a lack of information on the depth and velocity of these instances, (iii) the relatively large size of our study area which reduces biases linked to extreme rainfall, (iv) the fact that the NTK Rift is a mountain range in an extension area, which differs from orogenic mountainous areas, where most landslide mobilization rates are reported; and (v) uncertainties on the global landslide mobilization rate model.
</p><p>In rejuvenated landscapes, roughly 5% of the sediment mobilization by rapidly-moving landslides is linked to human activity, while in relict landscapes this figure rises to 18%, notably due to mining and road construction.
The role of human activity is limited as compared to the recent occurrence of some large landslides, which seem linked to natural causes and dominate the overall mobilization rates.
Moreover, the limited role of human activity must be balanced with the fact that the NTK Rift, although highly populated, remains relatively untouched by major road infrastructure constructions.
While previous studies have found that deforestation has a large impact on the landside risk (i.
e.
the incidence of landslide fatalities), its impact on the observed mobilization rates appears to be much less important.
The landslides associated with deforestation are commonly shallow debris avalanches with a limited size and rather high mobility.
</p><p>Overall, our results significantly contribute to a better understanding of landslide mobilization and its controlling factors, especially by proving much-needed long-term observations for a currently under-researched type of environment.
</p><div></div>.
Related Results
Back‐arc rifting in the Izu‐Bonin Island Arc: Structural evolution of Hachijo and Aoga Shima Rifts
Back‐arc rifting in the Izu‐Bonin Island Arc: Structural evolution of Hachijo and Aoga Shima Rifts
Abstract
Multi‐ and single‐channel seismic profiles are used to investigate the structural evolution of back‐arc rifting in the intra‐oceanic Izu‐Bonin Arc. Hachijo and Aoga ...
Velocity Modelling and Depth Conversion Uncertainty Mitigation in GS327 Oil Field, in Gulf of Suez Basin
Velocity Modelling and Depth Conversion Uncertainty Mitigation in GS327 Oil Field, in Gulf of Suez Basin
Abstract
The Gulf of Suez rift initiated in the Late Oligocene, probably propagating northwards, and intersecting a major east-west structural boundary of Late Eocen...
Landslide frequency in the Kivu Rift: impact of landscape evolution and deforestation
Landslide frequency in the Kivu Rift: impact of landscape evolution and deforestation
<p>Both landscape rejuvenation through tectonic uplift and human-induced deforestation are known to increase landslide (LS) activity. Yet, the interaction between def...
Controls on the size and mobility of deep-seated landslides in the North Tanganyika - Kivu Rift region, Africa
Controls on the size and mobility of deep-seated landslides in the North Tanganyika - Kivu Rift region, Africa
The size and mobility of landslides control their impact on both landscapes and communities. Despite their importance to understanding landslide mechanisms and associated hazards, ...
Landslide size matters: a new spatial predictive paradigm
Landslide size matters: a new spatial predictive paradigm
<p>The standard definition of landslide hazard requires the estimation of where, when (or how frequently) and how large a given landslide event may be. The geomorphol...
Meteorological drivers of seasonal motion at the Barry Arm Landslide, Prince William Sound, Alaska
Meteorological drivers of seasonal motion at the Barry Arm Landslide, Prince William Sound, Alaska
Global climate change creates geologic hazard cascades as the cryosphere experiences warming. The rapid retreat of Barry Glacier, a tidewater glacier in Prince William Sound, Alask...
Annual displacements, strain partitioning and pore pressure variation in the Triesenberg Earthflow
Annual displacements, strain partitioning and pore pressure variation in the Triesenberg Earthflow
<p>Large landslide complexes in flysch are among the largest landslides on earth. These landslides often feature a rotational landslide at the head, the weathering an...
Crustal softening at propagating rift tips, East Africa
Crustal softening at propagating rift tips, East Africa
We investigate the upper-crustal structure of the Rukwa-Tanganyika Rift Zone, East Africa, where earthquakes anomalously cluster at the northwestern tip of the Rukwa Rift, the east...

