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Specific leaf area differentiates exotic from native species of the same family in the tropical botanical garden collection

Invasive species risk management in botanical gardens is essential, particularly for the botanical garden that contains exotic plant species collection and is located next to native and or protected ecosystems. Previous studies stated that leaf traits (specific leaf area, SLA) effectively distinguis...

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Bibliographic Details
Main Authors: Junaedi, Decky Indrawan, Azzahro, Fathimah
Format: Conference Proceeding
Language:English
Subjects:
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Summary:Invasive species risk management in botanical gardens is essential, particularly for the botanical garden that contains exotic plant species collection and is located next to native and or protected ecosystems. Previous studies stated that leaf traits (specific leaf area, SLA) effectively distinguished non-naturalized from naturalized botanical gardens exotic collections that “escaped” to adjacent native natural ecosystems but excluded the phylogenetic factors in the studies. This study examined whether SLA of exotic plant collections in the tropical botanical garden is different from SLA of native species from the same family. We used a case study in Cibodas Botanical Garden (CBG) collections utilizing sampling data from two families: Malvaceae and Lamiaceae of CBG collections. We found no significant differences in SLA value between exotic and native species from both studied families: Malvaceae and Lamiaceae. However, there is a tendency for the SLA value of exotic species tend to be larger than the native species from the same family. Logistic regression analysis detects significant differentiation between SLA of exotic and native CBG collections of Malvaceae family. This study showed that SLA is a consistent parameter that can be utilized to distinguish native from exotic plant species as well as differentiate naturalized from non-naturalized CBG collections to adjacent native ecosystems. In general, SLA is a feasible proxy for invasive species risk assessment because the data collection procedure is relatively simple and easy to be implemented.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0183066