Title
Evolutionary heritage shapes tree distributions along an Amazon-to-Andes elevation gradient
Date Issued
2021
Access level
open access
Resource Type
journal article
Author(s)
Griffiths A.R.
Silman M.R.
Feeley K.J.
García Cabrera K.
Meir P.
Dexter K.G.
Publisher(s)
Blackwell Publishing Ltd
Abstract
Understanding how evolutionary constraints shape the elevational distributions of tree lineages provides valuable insight into the future of tropical montane forests under global change. With narrow elevational ranges, high taxonomic turnover, frequent habitat specialization, and exceptional levels of endemism, tropical montane forests and trees are predicted to be highly sensitive to environmental change. Using plot census data from a gradient traversing > 3,000 m in elevation on the Amazonian flank of the Peruvian Andes, we employ phylogenetic approaches to assess the influence of evolutionary heritage on distribution trends of trees at the genus-level. We find that closely related lineages tend to occur at similar mean elevations, with sister genera pairs occurring a mean 254 m in elevation closer to each other than the mean elevational difference between non-sister genera pairs. We also demonstrate phylogenetic clustering both above and below 1,750 m a.s.l, corresponding roughly to the cloud-base ecotone. Belying these general trends, some lineages occur across many different elevations. However, these highly plastic lineages are not phylogenetically clustered. Overall, our findings suggest that tropical montane forests are home to unique tree lineage diversity, constrained by their evolutionary heritage and vulnerable to substantial losses under environmental changes, such as rising temperatures or an upward shift of the cloud-base.
Start page
38
End page
50
Volume
53
Issue
1
Language
English
OCDE Knowledge area
Ciencias de las plantas, Botánica
Forestal
Subjects
Scopus EID
2-s2.0-85092087543
Source
Biotropica
ISSN of the container
00063606
Sponsor(s)
This paper is a product of the Andes Biodiversity and Ecosystem Research Group, with plot inventory work supported by National Science Foundation Long‐Term Research in Environmental Biology (LTREB) program grant #1754647, the Gordon and Betty Moore Foundation, and RAINFOR. The plot inventory would not have been possible without the efforts of many collaborators and student assistants, while we thank SERFOR, SERNANP, and personnel of Manu National Park for logistical assistance and permission to work in the protected area and buffer zone. We thank Ricardo Segovia for compilation of many GenBank sequences and helpful advice. . We thank Mariana García Criado for a Spanish translation of the abstract. ARG is supported by a NERC‐E3DTP studentship (grant number: NERC NE/L002558/1). PM is supported by NERC (NE/G018278/1) and ARC (DP170104091). KJF is supported by the US National Science Foundation (NSF DEB LTREB 1754664). In addition we thank two anonymous reviewers for their suggestions and reflections.
Sources of information:
Directorio de Producción Científica
Scopus