Title
Variation in leaf wettability traits along a tropical montane elevation gradient
Date Issued
01 May 2017
Access level
open access
Resource Type
journal article
Author(s)
Goldsmith G.R.
Bentley L.P.
Shenkin A.
Blonder B.
Martin R.E.
Castro-Ccossco R.
Chambi-Porroa P.
Diaz S.
Enquist B.J.
Asner G.P.
Malhi Y.
Publisher(s)
Blackwell Publishing Ltd
Abstract
Leaf wetting is often considered to have negative effects on plant function, such that wet environments may select for leaves with certain leaf surface, morphological, and architectural traits that reduce leaf wettability. However, there is growing recognition that leaf wetting can have positive effects. We measured variation in two traits, leaf drip tips and leaf water repellency, in a series of nine tropical forest communities occurring along a 3300-m elevation gradient in southern Peru. To extend this climatic gradient, we also assembled published leaf water repellency values from 17 additional sites. We then tested hypotheses for how these traits should vary as a function of climate. Contrary to expectations, we found that the proportion of species with drip tips did not increase with increasing precipitation. Instead, drip tips increased with increasing temperature. Moreover, leaf water repellency was very low in our sites and the global analysis indicated high repellency only in sites with low precipitation and temperatures. Our findings suggest that drip tips and repellency may not solely reflect the negative effects of wetting on plant function. Understanding the drivers of leaf wettability traits can provide insight into the effects of leaf wetting on plant, community, and ecosystem function.
Start page
989
End page
1001
Volume
214
Issue
3
Language
English
OCDE Knowledge area
Ecología Ciencias del medio ambiente
Scopus EID
2-s2.0-84979523442
PubMed ID
Source
New Phytologist
ISSN of the container
0028646X
Sponsor(s)
This work is a product of the Global Ecosystems Monitoring (GEM) network (http://gem.tropicalforests.ox.ac.uk), the Andes Biodiversity and Ecosystems Research Group ABERG (http://andesresearch.org), the Amazon Forest Inventory Network RAINFOR (http://www.rainfor.org), and the Carnegie Spectranomics Project (http://spectranomics.carnegiescience.edu) research consortia. We thank the Servicio Nacional de Áreas Naturales Protegidas por el Estado (SERNANP) and personnel of Manu and Tambopata National Parks for logistical assistance and permission to work in the protected areas. We also thank the Explorers’ Inn and the Pontifical Catholic University of Peru, as well as ACCA for use of the Tambopata and Wayqecha Research Stations, respectively. We are indebted to Professor Eric Cosio (Pontifical Catholic University of Peru) for assistance with research permissions. We thank the entire CHAMBASA team for assistance in the field and L. Sloat for assistance with analysing photographs. G. Neuner and B. Aryal provided access to data. P. Lopes, B. Rosado, K. Dexter, I. Matos and anonymous reviewers provided constructive comments that greatly improved the manuscript. The field campaign was funded by grants to Y.M. from the UK Natural Environment Research Council (Grant NE/J023418/1), with additional support from European Research Council advanced investigator grants GEM-TRAITS (321131) and T-FORCES (291585) and a John D. and Catherine T. MacArthur Foundation Grant to G.P.A. Y.M. was also supported by the Jackson Foundation. G.P.A. and the Carnegie team were supported by the endowment of the Carnegie Institution for Science and a grant from the National Science Foundation (DEB-1146206). G.R.G. was supported by funding from the European Community's Seventh Framework Program (FP7/2007–2013) under grant agreement number 290605 (COFUND: PSI-FELLOW).
Sources of information: Directorio de Producción Científica Scopus