Title
Covariance of Sun and Shade Leaf Traits Along a Tropical Forest Elevation Gradient
Date Issued
31 January 2020
Access level
open access
Resource Type
journal article
Author(s)
Martin R.E.
Asner G.P.
Bentley L.P.
Shenkin A.
Huaypar K.Q.
Pillco M.M.
Ccori Álvarez F.D.
Enquist B.J.
Diaz S.
Malhi Y.
Publisher(s)
Frontiers Media S.A.
Abstract
Foliar trait adaptation to sun and shade has been extensively studied in the context of photosynthetic performance of plants, focusing on nitrogen allocation, light capture and use via chlorophyll pigments and leaf morphology; however, less is known about the potential sun-shade dichotomy of other functionally important foliar traits. In this study, we measured 19 traits in paired sun and shade leaves along a 3,500-m elevation gradient in southern Peru to test whether the traits differ with canopy position, and to assess if relative differences vary with species composition and/or environmental filters. We found significant sun-shade differences in leaf mass per area (LMA), photosynthetic pigments (Chl ab and Car), and δ13C. Sun-shade offsets among these traits remained constant with elevation, soil substrates, and species compositional changes. However, other foliar traits related to structure and chemical defense, and those defining general metabolic processes, did not differ with canopy position. Our results suggest that whole-canopy function is captured in many traits of sun leaves; however, photosynthesis-related traits must be scaled based on canopy light extinction. These findings show that top-of-canopy measurements of foliar chemistry from spectral remote sensing approaches map directly to whole-canopy foliar traits including shaded leaves that cannot be directly observed from above.
Volume
10
Language
English
OCDE Knowledge area
Geografía física Biología (teórica, matemática, térmica, criobiología, ritmo biológico), Biología evolutiva
Scopus EID
2-s2.0-85079637246
Source
Frontiers in Plant Science
ISSN of the container
1664462X
Sponsor(s)
The field campaign was funded by grants to YM 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) under the European Union's Seventh Framework Programme (FP7/2007-2013). GA and the This work is a product of the Global Ecosystems Monitoring (GEM) network (gem.tropicalforests.ox.ac.uk), the Andes Biodiversity and Ecosystems Research Group ABERG (andesresearch.org), the Amazon Forest Inventory Network RAINFOR (www.rainfor.org), and the Spectranomics Project (https://gao.asu.edu/spectranomics-protocols) research consortia. We thank the Servicio Nacional de ?reas 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 and sample analysis and storage.
Sources of information: Directorio de Producción Científica Scopus