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dc.contributor.authorHill, J
dc.contributor.authorBlack, S
dc.contributor.authorAraujo-Murakami, A
dc.contributor.authorBoot, R
dc.contributor.authorBrienen, R
dc.contributor.authorFeldpausch, T
dc.contributor.authorLeigue, J
dc.contributor.authorMurakami, S
dc.contributor.authorMonteagudo, A
dc.contributor.authorPardo, G
dc.contributor.authorPeña-Claros, M
dc.contributor.authorPhillips, OL
dc.contributor.authorToledo, M
dc.contributor.authorVos, V
dc.contributor.authorZuidema, P
dc.contributor.authorMayle, FE
dc.date.accessioned2023-09-13T14:32:59Z
dc.date.issued2023-05-11
dc.date.updated2023-09-13T13:51:30Z
dc.description.abstractPhytolith analysis is a well-established archaeobotanical tool, having provided important insights into pre-Columbian crop cultivation and domestication across Amazonia through the Holocene. Yet, its use as a palaeoecological tool is in its infancy in Amazonia and its effectiveness for reconstructing pre-Columbian land-use beyond archaeological sites (i.e., ‘off-site’) has so far received little critical attention. This paper examines both new and previously published soil phytolith data from SW Amazonia to assess the robustness of this proxy for reconstructing pre-Columbian land-use. We conducted the study via off-site soil pits radiating 7.5 km beyond a geoglyph in Acre state, Brazil, and 50 km beyond a ring-ditch in northern Bolivia, spanning the expected gradients in historical land-use intensity. We found that the spatio-temporal patterns in palm phytolith data across our soil-pit transects support the hypothesis that pre-Columbian peoples enriched their forests with palms over several millennia, although phytoliths are limited in their ability to capture small-scale crop cultivation and deforestation. Despite these drawbacks, we conclude that off-site soil phytolith analysis can provide novel insights into pre-Columbian land use, provided it is effectively integrated with other land-use (e.g., charcoal) and archaeological data.en_GB
dc.description.sponsorshipNatural Environment Research Council (NERC)en_GB
dc.format.extent33-
dc.identifier.citationVol. 6, No. 2, article 33en_GB
dc.identifier.doihttps://doi.org/10.3390/quat6020033
dc.identifier.grantnumberNE/L002566/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/133985
dc.identifierORCID: 0000-0002-6631-7962 (Feldpausch, Ted)
dc.identifierScopusID: 55323559100 (Feldpausch, Ted)
dc.language.isoenen_GB
dc.publisherMDPIen_GB
dc.relation.urlhttps://www.neotomadb.org/en_GB
dc.rights© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).en_GB
dc.subjectphytolithsen_GB
dc.subjectAmazoniaen_GB
dc.subjectHoloceneen_GB
dc.subjectpre-Columbianen_GB
dc.subjectpalaeoecologyen_GB
dc.titleAn assessment of soil phytolith analysis as a palaeoecological tool for identifying pre-Columbian land use in Amazonian rainforestsen_GB
dc.typeArticleen_GB
dc.date.available2023-09-13T14:32:59Z
dc.identifier.issn2571-550X
dc.descriptionThis is the final version. Available from MDPI via the DOI in this record. en_GB
dc.descriptionData Availability Statement: Raw phytolith counts can be found in the Supplementary Materials section and have been uploaded to Neotoma. https://www.neotomadb.org/.en_GB
dc.identifier.journalQuaternaryen_GB
dc.relation.ispartofQuaternary, 6(2)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-04-27
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-05-11
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-09-13T14:30:54Z
refterms.versionFCDVoR
refterms.dateFOA2023-09-13T14:33:00Z
refterms.panelCen_GB
refterms.dateFirstOnline2023-05-11


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© 2023 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://
creativecommons.org/licenses/by/
4.0/).
Except where otherwise noted, this item's licence is described as © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).