Publication:
Human populations in the world's mountains: Spatio-temporal patterns and potential controls.

cris.virtual.author-orcid0000-0002-8787-2797
cris.virtualsource.author-orcidd248b4b8-da5d-4293-b966-63b25a0a2951
cris.virtualsource.author-orcidb3831c64-be8c-4659-bb7b-c9fb3b4c185f
cris.virtualsource.author-orcid5dff1979-c817-4838-9254-a1026e8391dc
cris.virtualsource.author-orcid42381a2f-bc08-4726-a20f-4beb29ce2dda
datacite.rightsopen.access
dc.contributor.authorThornton, James Matthew
dc.contributor.authorSnethlage, Mark Alexander
dc.contributor.authorSayre, Roger
dc.contributor.authorUrbach, Davnah Ruth
dc.contributor.authorViviroli, Daniel
dc.contributor.authorEhrlich, Daniele
dc.contributor.authorMuccione, Veruska
dc.contributor.authorWester, Philippus
dc.contributor.authorInsarov, Gregory
dc.contributor.authorAdler, Carolina
dc.date.accessioned2024-10-11T16:54:42Z
dc.date.available2024-10-11T16:54:42Z
dc.date.issued2022
dc.description.abstractChanging climate and human demographics in the world's mountains will have increasingly profound environmental and societal consequences across all elevations. Quantifying current human populations in and near mountains is crucial to ensure that any interventions in these complex social-ecological systems are appropriately resourced, and that valuable ecosystems are effectively protected. However, comprehensive and reproducible analyses on this subject are lacking. Here, we develop and implement an open workflow to quantify the sensitivity of mountain population estimates over recent decades, both globally and for several sets of relevant reporting regions, to alternative input dataset combinations. Relationships between mean population density and several potential environmental covariates are also explored across elevational bands within individual mountain regions (i.e. "sub-mountain range scale"). Globally, mountain population estimates vary greatly-from 0.344 billion (<5% of the corresponding global total) to 2.289 billion (>31%) in 2015. A more detailed analysis using one of the population datasets (GHS-POP) revealed that in ∼35% of mountain sub-regions, population increased at least twofold over the 40-year period 1975-2015. The urban proportion of the total mountain population in 2015 ranged from 6% to 39%, depending on the combination of population and urban extent datasets used. At sub-mountain range scale, population density was found to be more strongly associated with climatic than with topographic and protected-area variables, and these relationships appear to have strengthened slightly over time. Such insights may contribute to improved predictions of future mountain population distributions under scenarios of future climatic and demographic change. Overall, our work emphasizes that irrespective of data choices, substantial human populations are likely to be directly affected by-and themselves affect-mountainous environmental and ecological change. It thereby further underlines the urgency with which the multitudinous challenges concerning the interactions between mountain climate and human societies under change must be tackled.
dc.description.sponsorshipCentre for Development and Environment (CDE)
dc.description.sponsorshipInstitut für Pflanzenwissenschaften (IPS)
dc.identifier.doi10.48350/171484
dc.identifier.pmid35857800
dc.identifier.publisherDOI10.1371/journal.pone.0271466
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/86297
dc.language.isoen
dc.publisherPublic Library of Science
dc.relation.ispartofPLoS ONE
dc.relation.issn1932-6203
dc.relation.organizationDCD5A442C301E17DE0405C82790C4DE2
dc.relation.organizationDCD5A442C3D8E17DE0405C82790C4DE2
dc.relation.organizationDCD5A442C579E17DE0405C82790C4DE2
dc.subject.ddc500 - Science::580 - Plants (Botany)
dc.subject.ddc500 - Science::570 - Life sciences; biology
dc.titleHuman populations in the world's mountains: Spatio-temporal patterns and potential controls.
dc.typearticle
dspace.entity.typePublication
dspace.file.typetext
oaire.citation.issue7
oaire.citation.startPagee0271466
oaire.citation.volume17
oairecerif.author.affiliationCentre for Development and Environment (CDE)
oairecerif.author.affiliationInstitut für Pflanzenwissenschaften (IPS)
oairecerif.author.affiliationInstitut für Pflanzenwissenschaften (IPS)
oairecerif.author.affiliationCentre for Development and Environment (CDE)
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.date.licenseChanged2022-07-25 05:45:34
unibe.description.ispublishedpub
unibe.eprints.legacyId171484
unibe.journal.abbrevTitlePLOS ONE
unibe.refereedtrue
unibe.subtype.articlejournal

Files

Original bundle
Now showing 1 - 1 of 1
Name:
journal.pone.0271466.pdf
Size:
3.06 MB
Format:
Adobe Portable Document Format
File Type:
text
License:
https://creativecommons.org/publicdomain/zero/1.0/deed.en
Content:
published

Collections