Journal article
Towards an eco-evolutionary understanding of endemism hotspots and refugia
Annals of botany, Vol.122(6), pp.927-934
2018
PMCID: PMC6266134
PMID: 30239590
Abstract
Background
Refugia are island-like habitats that are linked to long-term environmental stability and, as a result, high endemism. Conservation of refugia and endemism hotspots should be based on a deep ecological and evolutionary understanding of their functioning, which remains limited. Although functional traits can provide such insights, a corresponding, coherent framework is lacking.
Proposed Framework
Plant communities in refugia and endemism hotspots should, due to long-term environmental stability, display unique functional characteristics linked to distinct phylogenetic patterns. Therefore, such communities should be characterized by a functional signature that exhibits: (1) distinct values and combinations of traits, (2) higher functional diversity and (3) a prevalence of similar traits belonging to more distantly related lineages inside, compared to outside, of endemism hotspots and refugia. While the limited functional trait data available from refugia and endemism hotspots do not allow these predictions to be tested rigorously, three potential applications of the functional signature in biogeography and conservation planning are highlighted. Firstly, it allows the functional characteristics of endemism hotspots and refugia to be identified. Secondly, the strength of the functional signature can be compared among these entities, and with the surrounding landscape, to provide an estimate of the capacity of endemism hotspots and refugia to buffer environmental changes. Finally, the pattern of the functional signature can reveal ecological and evolutionary processes driving community assembly and functioning, which can assist in predicting the effect of environmental changes (e.g. climate, land-use) on communities in endemism hotspots and refugia.
Conclusion
The proposed functional signature concept allows the systematic integration of plant functional traits and phylogeny into the study of endemism hotspots and refugia, but more data on functional traits in these entities are urgently needed. Overcoming this limitation would facilitate rigorous testing of the proposed predictions for the functional signature, advancing the eco-evolutionary understanding of endemism hotspots and refugia.
Details
- Title
- Towards an eco-evolutionary understanding of endemism hotspots and refugia
- Authors/Creators
- Gunnar Keppel - University of GöttingenGianluigi Ottaviani - The University of Western AustraliaSusan Harrison - University of California, DavisGrant W. Wardell-Johnson - Curtin UniversityMatteo Marcantonio - University of California DavisLadislav Mucina - Univ Western Australia, Sch Biol Sci, 35 Stirling Highway, Perth, WA 6009, Australia
- Publication Details
- Annals of botany, Vol.122(6), pp.927-934
- Publisher
- Oxford Univ Press
- Number of pages
- 8
- Grant note
- ARC linkage project; Australian Research Council LP0990914 / Australian Research Council 1U01CK000516 / Pacific Southwest Regional Center of Excellence for Vector-Borne Diseases - U.S. Centers for Disease Control and Prevention 3-V4B3111 / NASA; National Aeronautics & Space Administration (NASA) SIRF UWA Safety-Net To-Up Endeavour Europe Award (Australian Government) UPAIS Iluka Chair in Vegetation Science and Biogeography at The University of Western Australia Alexander von Humboldt Fellowship; Alexander von Humboldt Foundation CIPRS (Curtin University) Ad-Hoc scholarship schemes (The University of Western Australia)
- Identifiers
- 991005580054207891
- Copyright
- © The Author(s) 2018
- Murdoch Affiliation
- Centre for Terrestrial Ecosystem Science and Sustainability
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 3 Agriculture, Environment & Ecology
- 3.40 Forestry
- 3.40.195 Biodiversity Conservation
- Web Of Science research areas
- Plant Sciences
- ESI research areas
- Plant & Animal Science