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Plant traits and associated ecological data from Afromontane grasslands of Maloti-Drakensberg, South Africa
Department of Biological Sciences, University of Bergen, Bergen, Norway; Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway.
Department of Biological Sciences, University of Bergen, Bergen, Norway; Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway.
Department of Botany, University of British Columbia, Vancouver, Canada; Biodiversity Research Centre, University of British Columbia, Vancouver, Canada.
Afromontane Research Unit & Department of Geography, University of the Free State: Qwaqwa Campus, Phuthaditjhaba, South Africa.
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2025 (English)In: Scientific Data, E-ISSN 2052-4463, Vol. 12, no 1, article id 1778Article in journal (Refereed) Published
Abstract [en]

The Afromontane region harbors ancient grasslands with high levels of endemism, now under threat from land-use change, biological invasions and encroachment, and climate warming. As part of an international Plant Functional Traits Course we collected comprehensive trait data in five sites along an elevation gradient from 2,000-2,800 m a.s.l. and in a climate warming experiment at 3,064 m a.s.l. in the Maloti-Drakensberg, South Africa. We sampled 24,405 aboveground and 94 root trait measurements from 171 vascular plant taxa paired with 11 other datasets reflecting vegetation and structure, leaf and ecosystem carbon and water fluxes, leaf hyperspectral reflectance, and microclimatic and environmental data. Our data provide the first recorded trait data for 47 vascular plant species and more than double the trait data coverage from the Maloti-Drakensberg (106% increase). This study offers insights into plant and ecosystem functioning, provides a baseline for assessing impacts of environmental change, builds local competence, and aligns with similar data from China, Svalbard, Peru, and Norway.

Place, publisher, year, edition, pages
Springer Nature, 2025. Vol. 12, no 1, article id 1778
National Category
Climate Science Ecology
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URN: urn:nbn:se:umu:diva-246783DOI: 10.1038/s41597-025-06045-xISI: 001613382700001PubMedID: 41224796Scopus ID: 2-s2.0-105021781091OAI: oai:DiVA.org:umu-246783DiVA, id: diva2:2016896
Available from: 2025-11-26 Created: 2025-11-26 Last updated: 2025-11-26Bibliographically approved

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