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Anthropocene rockfalls travel farther than prehistoric predecessors

Human modification of natural landscapes has influenced surface processes in many settings on Earth. Quantitative data comparing the distribution and behavior of geologic phenomena before and after human arrival are sparse but urgently required to evaluate possible anthropogenic influences on geolog...

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Detalles Bibliográficos
Autores principales: Borella, Josh Walter, Quigley, Mark, Vick, Louise
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5026419/
https://www.ncbi.nlm.nih.gov/pubmed/27652344
http://dx.doi.org/10.1126/sciadv.1600969
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author Borella, Josh Walter
Quigley, Mark
Vick, Louise
author_facet Borella, Josh Walter
Quigley, Mark
Vick, Louise
author_sort Borella, Josh Walter
collection PubMed
description Human modification of natural landscapes has influenced surface processes in many settings on Earth. Quantitative data comparing the distribution and behavior of geologic phenomena before and after human arrival are sparse but urgently required to evaluate possible anthropogenic influences on geologic hazards. We conduct field and imagery-based mapping, statistical analysis, and numerical modeling of rockfall boulders triggered by the fatal 2011 Christchurch earthquakes (n = 285) and newly identified prehistoric (Holocene and Pleistocene) boulders (n = 1049). Prehistoric and modern boulders are lithologically equivalent, derived from the same source cliff, and yield consistent power-law frequency-volume distributions. However, a significant population of modern boulders (n = 26) traveled farther downslope (>150 m) than their most-traveled prehistoric counterparts, causing extensive damage to residential dwellings at the foot of the hillslope. Replication of prehistoric boulder distributions using three-dimensional rigid-body numerical models that incorporate lidar-derived digital topography and realistic boulder trajectories and volumes requires the application of a drag coefficient, attributed to moderate to dense slope vegetation, to account for their spatial distribution. Incorporating a spatially variable native forest into the models successfully predicts prehistoric rockfall distributions. Radiocarbon dating provides evidence for 17th to early 20th century deforestation at the study site during Polynesian and European colonization and after emplacement of prehistoric rockfall. Anthropocene deforestation enabled modern rockfalls to exceed the limits of their prehistoric predecessors, highlighting a shift in the geologic expression of rockfalls due to anthropogenic activity. Reforestation of hillslopes by mature native vegetation could help reduce future rockfall hazard.
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spelling pubmed-50264192016-09-20 Anthropocene rockfalls travel farther than prehistoric predecessors Borella, Josh Walter Quigley, Mark Vick, Louise Sci Adv Research Articles Human modification of natural landscapes has influenced surface processes in many settings on Earth. Quantitative data comparing the distribution and behavior of geologic phenomena before and after human arrival are sparse but urgently required to evaluate possible anthropogenic influences on geologic hazards. We conduct field and imagery-based mapping, statistical analysis, and numerical modeling of rockfall boulders triggered by the fatal 2011 Christchurch earthquakes (n = 285) and newly identified prehistoric (Holocene and Pleistocene) boulders (n = 1049). Prehistoric and modern boulders are lithologically equivalent, derived from the same source cliff, and yield consistent power-law frequency-volume distributions. However, a significant population of modern boulders (n = 26) traveled farther downslope (>150 m) than their most-traveled prehistoric counterparts, causing extensive damage to residential dwellings at the foot of the hillslope. Replication of prehistoric boulder distributions using three-dimensional rigid-body numerical models that incorporate lidar-derived digital topography and realistic boulder trajectories and volumes requires the application of a drag coefficient, attributed to moderate to dense slope vegetation, to account for their spatial distribution. Incorporating a spatially variable native forest into the models successfully predicts prehistoric rockfall distributions. Radiocarbon dating provides evidence for 17th to early 20th century deforestation at the study site during Polynesian and European colonization and after emplacement of prehistoric rockfall. Anthropocene deforestation enabled modern rockfalls to exceed the limits of their prehistoric predecessors, highlighting a shift in the geologic expression of rockfalls due to anthropogenic activity. Reforestation of hillslopes by mature native vegetation could help reduce future rockfall hazard. American Association for the Advancement of Science 2016-09-16 /pmc/articles/PMC5026419/ /pubmed/27652344 http://dx.doi.org/10.1126/sciadv.1600969 Text en Copyright © 2016, The Authors http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Research Articles
Borella, Josh Walter
Quigley, Mark
Vick, Louise
Anthropocene rockfalls travel farther than prehistoric predecessors
title Anthropocene rockfalls travel farther than prehistoric predecessors
title_full Anthropocene rockfalls travel farther than prehistoric predecessors
title_fullStr Anthropocene rockfalls travel farther than prehistoric predecessors
title_full_unstemmed Anthropocene rockfalls travel farther than prehistoric predecessors
title_short Anthropocene rockfalls travel farther than prehistoric predecessors
title_sort anthropocene rockfalls travel farther than prehistoric predecessors
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5026419/
https://www.ncbi.nlm.nih.gov/pubmed/27652344
http://dx.doi.org/10.1126/sciadv.1600969
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