Environmental heterogeneity dynamics drive plant diversity on oceanic islands
| Autor: | Holger Kreft, Patrick Weigelt, Martha Paola Barajas-Barbosa, Gunnar Keppel, Michael K. Borregaard |
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| Přispěvatelé: | Barajas-Barbosa, Martha Paola, Weigelt, Patrick, Borregaard, Michael Krabbe, Keppel, Gunnar, Kreft, Holger |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
010504 meteorology & atmospheric sciences 010603 evolutionary biology 01 natural sciences 14. Life underwater SPECIATION Ecology Evolution Behavior and Systematics SCALE 0105 earth and related environmental sciences Plant diversity GLOBAL PATTERNS Ecology LANDSCAPE SPECIES RICHNESS oceanic islands INCIDENT RADIATION 15. Life on land environmental heterogeneity plant diversity EVOLUTION insular endemism general dynamic model MODEL EQUILIBRIUM 13. Climate action BIODIVERSITY island ontogeny Geology |
| Zdroj: | Barajas-Barbosa, M P, Weigelt, P, Borregaard, M K, Keppel, G & Kreft, H 2020, ' Environmental heterogeneity dynamics drive plant diversity on oceanic islands ', Journal of Biogeography, vol. 47, no. 10, pp. 2248-2260 . https://doi.org/10.1111/jbi.13925 |
| Popis: | Aim: The General Dynamic Model (GDM) links island biogeographical processes to island geological history. A key premise of the GDM implies that environmental factors shaping the ecology and evolution of biota on oceanic islands follow a hump-shaped trend over the island's life span and drive dynamics in carrying capacity, species diversity and endemism. An important component of the GDM is environmental heterogeneity (EH), but its effects on insular diversity remain poorly understood. Here, we first quantified EH, tested whether EH follows the expected hump-shaped trend along island ontogeny and evaluated how EH relates to plant diversity. Location: 135 oceanic islands of volcanic origin. Taxon: Vascular plants. Methods: We calculated 20 EH metrics focusing on topographic and climatic components of EH, and compared whole-island metrics (e.g. range) and moving-window metrics (e.g. roughness). Using linear mixed-effects models, we evaluated the trends of EH with island age and the EH–plant diversity relationship expected based on the GDM. Results: Our analysis revealed some EH components to be collinear, for example, elevation and temperature heterogeneity but also that EH metrics capture different aspects of EH, for example, climatic gradients versus climatic complexity. EH generally followed a hump-shaped trend with island age, peaking early during island ontogeny. Among the EH components, climatic heterogeneity had the strongest effect on plant species richness and elevational heterogeneity on endemism. Lastly, including EH metrics in GDMs (traditionally, only island age and area were included) improved their predictive power. Main conclusions: The EH metrics compared here captured various attributes of the environment that influence insular plant diversity. In line with the GDM, our results strongly support a hump-shaped relationship between EH and island age, suggesting that islands become highly heterogeneous early in their ontogeny. Finally, the contribution of EH to GDM-based models of species richness and endemism suggests that EH is a main driver of the diversity of oceanic island biotas. Refereed/Peer-reviewed |
| Databáze: | OpenAIRE |
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