Coca‐de‐la‐Iglesia M, Medina NG, Wen J, Valcárcel V. Evaluation of tropical-temperate transitions: An example of climatic characterization in the Asian Palmate group of Araliaceae.
AMERICAN JOURNAL OF BOTANY 2022;
109:1488-1507. [PMID:
36039662 PMCID:
PMC9826302 DOI:
10.1002/ajb2.16059]
[Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 08/12/2022] [Accepted: 08/12/2022] [Indexed: 06/15/2023]
Abstract
PREMISE
There has been a great increase in using climatic data in phylogenetic studies over the past decades. However, compiling the high-quality spatial data needed to perform accurate climatic reconstructions is time-consuming and can result in poor geographical coverage. Therefore, researchers often resort to qualitative approximations. Our aim was to evaluate the climatic characterization of the genera of the Asian Palmate Group (AsPG) of Araliaceae as an exemplar lineage of plants showing tropical-temperate transitions.
METHODS
We compiled a curated worldwide spatial database of the AsPG genera and created five raster layers representing bioclimatic regionalizations of the world. Then, we crossed the database with the layers to climatically characterize the AsPG genera.
RESULTS
We found large disagreement in the climatic characterization of genera among regionalizations and little support for the climatic nature of the tropical-temperate distribution of the AsPG. Both results are attributed to the complexity of delimiting tropical, subtropical, and temperate climates in the world and to the distribution of the study group in regions with transitional climatic conditions.
CONCLUSIONS
The complexity in the climatic classification of this example of the tropical-temperate transitions calls for a general climatic revision of other tropical-temperate lineages. In fact, we argue that, to properly evaluate tropical-temperate transitions across the tree of life, we cannot ignore the complexity of distribution ranges.
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