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dc.contributor.authorSchulz, Christopher
dc.contributor.authorBrañas, Manuel Martín
dc.contributor.authorNúñez Pérez, Cecilia
dc.contributor.authorDel Águila Villacorta, Margarita
dc.contributor.authorLaurie, Nina
dc.contributor.authorLawson, Ian T.
dc.contributor.authorRoucoux, Katherine H.
dc.date.accessioned2019-05-07T10:30:01Z
dc.date.available2019-05-07T10:30:01Z
dc.date.issued2019-04-30
dc.identifier.citationSchulz , C , Brañas , M M , Núñez Pérez , C , Del Águila Villacorta , M , Laurie , N , Lawson , I T & Roucoux , K H 2019 , ' Peatland and wetland ecosystems in Peruvian Amazonia : indigenous classifications and perspectives ' , Ecology and Society , vol. 24 , no. 2 , 12 . https://doi.org/10.5751/ES-10886-240212en
dc.identifier.issn1708-3087
dc.identifier.otherPURE: 258519441
dc.identifier.otherPURE UUID: 9498255b-dd65-4529-b25f-6d6f7fdaea5e
dc.identifier.otherScopus: 85065757759
dc.identifier.otherORCID: /0000-0003-0081-1404/work/64361332
dc.identifier.urihttp://hdl.handle.net/10023/17653
dc.descriptionAuthors gratefully acknowledge funding from the Scottish Funding Council, the Natural Environment Research Council (NE/R000751/1), and the University of St Andrews.en
dc.description.abstractMany indigenous people hold detailed ecological knowledge about their environment and have developed complex classifications of ecosystem types in their own languages. These classification systems may be based on characteristics including the availability of key resources, salient plant species, and cultural factors, among others. Indigenous environmental knowledge has been of interest to (ethno-)ecologists, geographers, anthropologists, and other scientists looking to learn from indigenous people, especially in newly emerging research topics. We identified and interpreted an ecosystem classification system of the Urarina, a small indigenous nation based in the Chambira River basin, a peatland-rich area of Peruvian Amazonia. Our findings, based on semistructured interviews, participatory mapping exercises, and site visits, indicate that the Urarina distinguish between ecosystems according to vegetation physiognomy, certain (palm) tree species, hydrology, and soil appearance, and that their use of natural resources varies between different ecosystems. Two Urarina ecosystems, jiiri and alaka, are almost certainly associated with the presence of peat soils and are of special cultural significance. The Urarina ecosystem classification system thus offers insights and inspiration for ecologists studying peatlands and other wetlands in the Peruvian Amazon who, thus far, have mostly focused on floristic and structural analyses only. Not least, our research highlights the importance of the peatlands for local people, beyond their role for the global climate system as a substantial carbon store.
dc.format.extent16
dc.language.isoeng
dc.relation.ispartofEcology and Societyen
dc.rightsCopyright © 2019 by the author(s). Published here under license by The Resilience Alliance. This article is under a Creative Commons Attribution-NonCommercial 4.0 International License. You may share and adapt the work for noncommercial purposes provided the original author and source are credited, you indicate whether any changes were made, and you include a link to the license.en
dc.subjectAmazonen
dc.subjectEcosystem classificationen
dc.subjectIndigenous knowledgeen
dc.subjectPeruen
dc.subjectTropical peatlanden
dc.subjectUrarinaen
dc.subjectG Geography (General)en
dc.subjectGN Anthropologyen
dc.subjectNDASen
dc.subject.lccG1en
dc.subject.lccGNen
dc.titlePeatland and wetland ecosystems in Peruvian Amazonia : indigenous classifications and perspectivesen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.Centre for Research into Equality, Diversity & Inclusionen
dc.contributor.institutionUniversity of St Andrews.School of Geography & Sustainable Developmenten
dc.contributor.institutionUniversity of St Andrews.Bell-Edwards Geographic Data Instituteen
dc.identifier.doihttps://doi.org/10.5751/ES-10886-240212
dc.description.statusPeer revieweden


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