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Article: Elevation and moths in a central eastern Queensland rainforest

TitleElevation and moths in a central eastern Queensland rainforest
Authors
KeywordsDiversity
Elevation
Moth
Rainforest
Stratification
Issue Date2016
Citation
Austral Ecology, 2016, v. 41, n. 2, p. 133-144 How to Cite?
Abstract© 2016 Ecological Society of Australia. Elevational gradients are powerful natural experiments for the investigation of ecological responses to changing climates. Automated modified Pennsylvania light traps were used to sample macro-moth assemblages for three consecutive nights at each of 24 sites ranging from 200m asl to 1200m asl within continuous tropical rainforest at Eungella, Queensland, Australia (21°S, 148°E). A total of 13861 individual moths representing approximately 713 morphospecies and 10045 individuals belonging to approximately 607 morphospecies where sampled during November 2013 and March 2014 respectively. Moth assemblages exhibited a strong elevational signal during both sampling seasons; we grouped these into lowland and upland assemblages. The dispersal pattern of moth assemblages across the landscape reflected the stratification of vegetation communities across elevation and correlated with shifts in eco-physical variables, most notably temperature and substrate organic matter. Regional historical biogeographical events likely contributed to the observed patterns. The analysis presented here ident ifies a set of statistically defined elevationally restricted moths which may be of use as part of a multi-taxon predictor set for monitoring future ecosystem level changes associated with elevation and, by implication, with climate.
Persistent Identifierhttp://hdl.handle.net/10722/251109
ISSN
2023 Impact Factor: 1.6
2023 SCImago Journal Rankings: 0.587
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorOdell, Erica H.-
dc.contributor.authorAshton, Louise A.-
dc.contributor.authorKitching, Roger L.-
dc.date.accessioned2018-02-01T01:54:36Z-
dc.date.available2018-02-01T01:54:36Z-
dc.date.issued2016-
dc.identifier.citationAustral Ecology, 2016, v. 41, n. 2, p. 133-144-
dc.identifier.issn1442-9985-
dc.identifier.urihttp://hdl.handle.net/10722/251109-
dc.description.abstract© 2016 Ecological Society of Australia. Elevational gradients are powerful natural experiments for the investigation of ecological responses to changing climates. Automated modified Pennsylvania light traps were used to sample macro-moth assemblages for three consecutive nights at each of 24 sites ranging from 200m asl to 1200m asl within continuous tropical rainforest at Eungella, Queensland, Australia (21°S, 148°E). A total of 13861 individual moths representing approximately 713 morphospecies and 10045 individuals belonging to approximately 607 morphospecies where sampled during November 2013 and March 2014 respectively. Moth assemblages exhibited a strong elevational signal during both sampling seasons; we grouped these into lowland and upland assemblages. The dispersal pattern of moth assemblages across the landscape reflected the stratification of vegetation communities across elevation and correlated with shifts in eco-physical variables, most notably temperature and substrate organic matter. Regional historical biogeographical events likely contributed to the observed patterns. The analysis presented here ident ifies a set of statistically defined elevationally restricted moths which may be of use as part of a multi-taxon predictor set for monitoring future ecosystem level changes associated with elevation and, by implication, with climate.-
dc.languageeng-
dc.relation.ispartofAustral Ecology-
dc.subjectDiversity-
dc.subjectElevation-
dc.subjectMoth-
dc.subjectRainforest-
dc.subjectStratification-
dc.titleElevation and moths in a central eastern Queensland rainforest-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/aec.12272-
dc.identifier.scopuseid_2-s2.0-84931863679-
dc.identifier.volume41-
dc.identifier.issue2-
dc.identifier.spage133-
dc.identifier.epage144-
dc.identifier.eissn1442-9993-
dc.identifier.isiWOS:000374301600003-
dc.identifier.issnl1442-9985-

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