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dc.contributor.authorSilva de Miranda, P
dc.contributor.authorOliveira Filho, A
dc.contributor.authorPennington, T
dc.contributor.authorNeves, D
dc.contributor.authorBaker, T
dc.contributor.authorDexter, KG
dc.date.accessioned2018-11-30T15:31:11Z
dc.date.issued2018-08-24
dc.description.abstractAim To define and map the main biomes of lowland tropical South America (LTSA) using data from tree species inventories and to test the ability of climatic and edaphic variables to distinguish amongst them. Location Lowland Tropical South America (LTSA), including Argentina, Bolivia, Brazil, Ecuador, Paraguay, Peru and Uruguay. Time period Present. Major taxa studied Trees. Methods We compiled a database of 4,103 geo‐referenced tree species inventories distributed across LTSA. We used a priori vegetation classifications and cluster analyses of floristic composition to assign sites to biomes. We mapped these biomes geographically and assessed climatic overlaps amongst them. We implemented classification tree approaches to quantify how well climatic and edaphic data can assign inventories to biomes. Results Our analyses distinguish savanna and seasonally dry tropical forest (SDTF) as distinct biomes, with the Chaco woodlands potentially representing a third dry biome in LTSA. Amongst the wet forests, we find that the Amazon and Atlantic Forests might represent different biomes, because they are distinct in both climate and species composition. Our results show substantial environmental overlap amongst biomes, with error rates for classifying sites into biomes of 19–21 and 16–18% using only climatic data and with the inclusion of edaphic data, respectively. Main conclusions Tree species composition can be used to determine biome identity at continental scales. We find high biome heterogeneity at small spatial scales, probably attributable to variation in edaphic conditions and disturbance history. This points to the challenges of using climatic and/or interpolation‐based edaphic data or coarse‐resolution, remotely sensed imagery to map tropical biomes. From this perspective, we suggest that using floristic information in biome delimitation will allow for greater synergy between conservation efforts centred on species diversity and management efforts centred on ecosystem function.en_GB
dc.identifier.citationVol. 27, pp. 899 - 912en_GB
dc.identifier.doi10.1111/geb.12749
dc.identifier.urihttp://hdl.handle.net/10871/34947
dc.language.isoenen_GB
dc.publisherWileyen_GB
dc.rights.embargoreasonUnder embargo until 24 August 2019 in compliance with publisher policy
dc.rights© 2018 John Wiley & Sons Ltden_GB
dc.subjectAmazon Foresten_GB
dc.subjectAtlantic Foresten_GB
dc.subjectCerradoen_GB
dc.subjectChacoen_GB
dc.subjectcluster analysisen_GB
dc.subjectNeoTropTreeen_GB
dc.subjectSavannaen_GB
dc.subjectDry Tropical Foresten_GB
dc.titleUsing tree species inventories to map biomes and assess their climatic overlaps in lowland tropical South Americaen_GB
dc.typeArticleen_GB
dc.date.available2018-11-30T15:31:11Z
dc.identifier.issn1466-822X
dc.descriptionThis is the author accepted manuscript. The final version is available from Wiley via the DOI in this recorden_GB
dc.identifier.journalGlobal Ecology and Biogeographyen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2018-03-10
rioxxterms.funderCoordenação de Aperfeiçoamento de Pessoal de Nível Superior, Brazil (CAPES)
rioxxterms.funderConselho Nacional de Desenvolvimento Científico e Tecnológico, Brazil
rioxxterms.funderNational Environment Research Council
rioxxterms.funderNational Science Foundation – USA
rioxxterms.funderLeverhulme Trust
rioxxterms.identifier.project99999.013197/2013‐04
rioxxterms.identifier.project301644/88‐8
rioxxterms.identifier.projectNE/I028122/1
rioxxterms.identifier.projectNSF/DEB‐155665
rioxxterms.versionAMen_GB
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2018-11-30T15:28:25Z
refterms.versionFCDAM
refterms.dateFOA2019-08-23T23:00:00Z


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