Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/26406
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dc.contributor.authorClark, Katherine Een_UK
dc.contributor.authorWest, A Joshuaen_UK
dc.contributor.authorHilton, Robert Gen_UK
dc.contributor.authorAsner, Gregory Pen_UK
dc.contributor.authorQuesada, Carlos Aen_UK
dc.contributor.authorSilman, Milesen_UK
dc.contributor.authorSaatchi, Sassan Sen_UK
dc.contributor.authorFarfan-Rios, Williamen_UK
dc.contributor.authorMartin, Roberta Een_UK
dc.contributor.authorHorwath, Aline Ben_UK
dc.contributor.authorHalladay, Kateen_UK
dc.contributor.authorNew, Marken_UK
dc.contributor.authorMalhi, Yadvinderen_UK
dc.date.accessioned2017-12-23T23:11:53Z-
dc.date.available2017-12-23T23:11:53Z-
dc.date.issued2016-01-20en_UK
dc.identifier.urihttp://hdl.handle.net/1893/26406-
dc.description.abstractIn this study, we assess the geomorphic role of a rare, large-magnitude landslide-triggering event and consider its effect on mountain forest ecosystems and the erosion of organic carbon in an Andean river catchment. Proximal triggers such as large rain storms are known to cause large numbers of landslides, but the relative effects of such low-frequency, high-magnitude events are not well known in the context of more regular, smaller events. We develop a 25-year duration, annual-resolution landslide inventory by mapping landslide occurrence in the Kosñipata Valley, Peru, from 1988 to 2012 using Landsat, QuickBird, and WorldView satellite images. Catchment-wide landslide rates were high, averaging 0.076 % yr−1 by area. As a result, landslides on average completely turn over hillslopes every ∼ 1320 years, although our data suggest that landslide occurrence varies spatially and temporally, such that turnover times are likely to be non-uniform. In total, landslides stripped 26 ± 4 tC km−2 yr−1 of organic carbon from soil (80 %) and vegetation (20 %) during the study period. A single rain storm in March 2010 accounted for 27 % of all landslide area observed during the 25-year study and accounted for 26 % of the landslide-associated organic carbon flux. An approximately linear magnitude–frequency relationship for annual landslide areas suggests that large storms contribute an equivalent landslide failure area to the sum of lower-frequency landslide events occurring over the same period. However, the spatial distribution of landslides associated with the 2010 storm is distinct. On the basis of precipitation statistics and landscape morphology, we hypothesise that focusing of storm-triggered landslide erosion at lower elevations in the Kosñipata catchment may be characteristic of longer-term patterns. These patterns may have implications for the source and composition of sediments and organic material supplied to river systems of the Amazon Basin, and, through focusing of regular ecological disturbance, for the species composition of forested ecosystems in the region.en_UK
dc.language.isoenen_UK
dc.publisherCopernicus Publicationsen_UK
dc.relationClark KE, West AJ, Hilton RG, Asner GP, Quesada CA, Silman M, Saatchi SS, Farfan-Rios W, Martin RE, Horwath AB, Halladay K, New M & Malhi Y (2016) Storm-triggered landslides in the Peruvian Andes and implications for topography, carbon cycles, and biodiversity. Earth Surface Dynamics, 4 (1), pp. 47-70. https://doi.org/10.5194/esurf-4-47-2016en_UK
dc.rights© Author(s) 2016. This work is distributed under the Creative Commons Attribution 3.0 License.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.titleStorm-triggered landslides in the Peruvian Andes and implications for topography, carbon cycles, and biodiversityen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.5194/esurf-4-47-2016en_UK
dc.citation.jtitleEarth Surface Dynamicsen_UK
dc.citation.issn2196-632Xen_UK
dc.citation.issn2196-6311en_UK
dc.citation.volume4en_UK
dc.citation.issue1en_UK
dc.citation.spage47en_UK
dc.citation.epage70en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.citation.date20/01/2016en_UK
dc.contributor.affiliationUniversity of Oxforden_UK
dc.contributor.affiliationUniversity of Southern Californiaen_UK
dc.contributor.affiliationDurham Universityen_UK
dc.contributor.affiliationCarnegie Institution for Scienceen_UK
dc.contributor.affiliationUniversity of Leedsen_UK
dc.contributor.affiliationWake Forest Universityen_UK
dc.contributor.affiliationCalifornia Institute of Technologyen_UK
dc.contributor.affiliationWake Forest Universityen_UK
dc.contributor.affiliationCarnegie Institution for Scienceen_UK
dc.contributor.affiliationUniversity of Oxforden_UK
dc.contributor.affiliationUniversity of Oxforden_UK
dc.contributor.affiliationUniversity of Oxforden_UK
dc.identifier.isiWOS:000378205500004en_UK
dc.identifier.scopusid2-s2.0-84971457458en_UK
dc.identifier.wtid508051en_UK
dc.date.accepted2015-12-22en_UK
dcterms.dateAccepted2015-12-22en_UK
dc.date.filedepositdate2017-12-20en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorClark, Katherine E|en_UK
local.rioxx.authorWest, A Joshua|en_UK
local.rioxx.authorHilton, Robert G|en_UK
local.rioxx.authorAsner, Gregory P|en_UK
local.rioxx.authorQuesada, Carlos A|en_UK
local.rioxx.authorSilman, Miles|en_UK
local.rioxx.authorSaatchi, Sassan S|en_UK
local.rioxx.authorFarfan-Rios, William|en_UK
local.rioxx.authorMartin, Roberta E|en_UK
local.rioxx.authorHorwath, Aline B|en_UK
local.rioxx.authorHalladay, Kate|en_UK
local.rioxx.authorNew, Mark|en_UK
local.rioxx.authorMalhi, Yadvinder|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2017-12-20en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2017-12-20|en_UK
local.rioxx.filenameesurf-4-47-2016.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2196-6311en_UK
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