Please use this identifier to cite or link to this item: http://hdl.handle.net/11667/188
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dc.contributorO'Sullivan, Kirsten S W-
dc.contributor.otherNERC - Natural Environment Research Councilen_GB
dc.coverage.spatialCentral Mountain Range, Taiwanen_GB
dc.creatorO'Sullivan, Kirsten S W-
dc.creatorJump, Alistair S-
dc.date.accessioned2022-01-24T14:58:46Z-
dc.date.created2019-11-
dc.identifier.urihttp://hdl.handle.net/11667/188-
dc.description.abstractThe dataset contains Pinus taiwanensis leaf trait measurements collected from samples across an elevation gradient in the Central Mountain Range of Taiwan. The following traits were measured; leaf length, thickness, area, number of stomatal rows, wet weight and dry weight. Site coordinates, elevation, terrain slope and aspect are also included. These data were used in the paper “High intraspecific trait variation results in a resource allocation spectrum of a subtropical pine across an elevational gradient”, which is currently in the final stages of processing with Journal of Biogeography. In the manuscript, we show that substantial intraspecific trait variation is possible for a single species across its elevational distribution, here likely driven by temperature differences and additional biotic and abiotic drivers across the elevational range. These results provide improved understanding of the extent of intraspecific variability, which is necessary for reliable quantifications and predictions of the impacts of environmental change, especially in understudied, hyper-diverse ecosystems such as tropical forests. This dataset was collected during PhD fieldwork by Kirsten O’Sullivan.en_GB
dc.description.tableofcontentsThe file “Pinus_taiwanensis_data_repository.xlsx” contains Pinus taiwanensis leaf trait measurements collected from samples across an elevation gradient in the Central Mountain Range of Taiwan and site characteristics (elevation, slope and aspect). The file also contains a Meta Data tab to provide a description of each variable.en_GB
dc.language.isoengen_GB
dc.publisherUniversity of Stirling. Faculty of Natural Sciencesen_GB
dc.relationO’Sullivan, KSW; Jump, AS (2022): Pinus taiwanensis leaf traits. University of Stirling. Faculty of Natural Sciences. Dataset. http://hdl.handle.net/11667/188en_GB
dc.relation.isreferencedbyO’Sullivan, K.S.W., Vilà-Cabrera, A., Chen, J., Greenwood, S., Chang, C. and Jump, A.S. (2022) High intraspecific trait variation results in a resource allocation spectrum of a subtropical pine across an elevational gradient. Journal of Biogeography, 49 (4), pp. 668-681. DOI: https://doi.org/10.1111/jbi.14336 Available from: http://hdl.handle.net/1893/34086en_GB
dc.subjectEnvironmental gradientsen_GB
dc.subjectplant functional traitsen_GB
dc.subject.classification::Ecology, biodiversity and systematicsen_GB
dc.subject.classification::Plant and crop science::Plant responses to environmenten_GB
dc.titlePinus taiwanensis leaf traitsen_GB
dc.typedataseten_GB
dc.rights.embargoreasonPlease could these data have an embargo period of 6 months. These data are being used for a paper which is in the final stages with a journal. This embargo would allow this paper to be accepted and published before they are made publicly available.en_GB
dc.rights.embargoterms2022-08-02en_GB
dc.rights.embargoliftdate2022-08-02-
dc.contributor.emailkirsten.osullivan@stir.ac.uken_GB
dc.identifier.projectidNE/L002590/1en_GB
dc.title.projectIAPETUS: Doctoral Training Programmeen_GB
dc.contributor.affiliationUniversity of Stirling (Biological and Environmental Sciences)en_GB
dc.rights.embargoenddate2022-08-01-
dc.date.publicationyear2022en_GB
dc.description.notesRights covered by the standard CC-BY 4.0 licence: https://creativecommons.org/licenses/by/4.0/en_GB
Appears in Collections:University of Stirling Research Data

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