Historical dynamics of landslide risk from population and forest-cover changes in the Kivu Rift
Arthur Depicker (),
Liesbet Jacobs,
Nicholus Mboga,
Benoȋt Smets,
Anton Van Rompaey,
Moritz Lennert,
Eléonore Wolff,
François Kervyn,
Caroline Michellier,
Olivier Dewitte () and
Gerard Govers
Additional contact information
Arthur Depicker: KU Leuven
Liesbet Jacobs: KU Leuven
Nicholus Mboga: Université Libre de Bruxelles
Benoȋt Smets: Royal Museum for Central Africa
Anton Van Rompaey: KU Leuven
Moritz Lennert: Université Libre de Bruxelles
Eléonore Wolff: Université Libre de Bruxelles
François Kervyn: Royal Museum for Central Africa
Caroline Michellier: Royal Museum for Central Africa
Olivier Dewitte: Royal Museum for Central Africa
Gerard Govers: KU Leuven
Nature Sustainability, 2021, vol. 4, issue 11, 965-974
Abstract:
Abstract Human activity influences both the occurrence and impact of landslides in mountainous environments. Population pressure and the associated land-use changes are assumed to exacerbate landslide risk, yet there is a lack of statistical evidence to support this claim, especially in the Global South where historical records are scarce. In this work, we explore the interactions between population, deforestation and landslide risk in the Kivu Rift in Africa. To do so, we develop a holistic landslide risk model that evaluates 58 years of population and forest-cover trends. We show that the current landslide risk in the eastern Democratic Republic of the Congo (DRC) is twice as high as in neighbouring Rwanda and Burundi. Congolese households, on average, populate more hazardous terrain, probably as a result of conflicts and economic pull factors such as mining. Moreover, the recent large-scale deforestation of primary rainforest in the DRC has considerably exacerbated the landslide risk. Our analysis demonstrates how the legacy of deforestation, conflicts and population dynamics is reflected in the landslide risk in the Kivu Rift.
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natsus:v:4:y:2021:i:11:d:10.1038_s41893-021-00757-9
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DOI: 10.1038/s41893-021-00757-9
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