High-resolution spectroscopy can be used to measure leaf chemical and structural traits. Such leaf traits are often highly correlated to other traits, such as photosynthesis, through the leaf economics spectrum. We measured VNIR (visible-near infrared) leaf reflectance (400-1,075nm) of sunlit and shaded leaves in similar to 150 dominant species across ten, 1ha plots along a 3,300m elevation gradient in Peru (on 4,284 individual leaves). We used partial least squares (PLS) regression to compare leaf reflectance to chemical traits, such as nitrogen and phosphorus, structural traits, including leaf mass per area (LMA), branch wood density and leaf venation, and higher-level traits such as leaf photosynthetic capacity, leaf water repellency, and woody growth rates. Empirical models using leaf reflectance predicted leaf N and LMA (r(2)>30% and %RMSE<30%), weakly predicted leaf venation, photosynthesis, and branch density (r(2) between 10 and 35% and %RMSE between 10% and 65%), and did not predict leaf water repellency or woody growth rates (r(2)<5%). Prediction of higher-level traits such as photosynthesis and branch density is likely due to these traits correlations with LMA, a trait readily predicted with leaf spectroscopy.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/626445 |
| Date | 11 1900 |
| Creators | Doughty, Christopher E., Santos-Andrade, P. E., Goldsmith, G. R., Blonder, B., Shenkin, A., Bentley, L. P., Chavana-Bryant, C., Huaraca-Huasco, W., Díaz, S., Salinas, N., Enquist, B. J., Martin, R., Asner, G. P., Malhi, Y. |
| Contributors | Univ Arizona, Dept Ecol & Evolutionary Biol, SICCS; Northern Arizona University; Flagstaff AZ USA, Departamento de Ecologia; Universidad Nacional San Antonio Abad del Cusco; Cusco Perú, Ecosystem Fluxes Group, Laboratory for Atmospheric Chemistry; Paul Scherrer Institute; Villigen Switzerland, Environmental Change Institute, School of Geography and the Environment; University of Oxford; Oxford UK, Environmental Change Institute, School of Geography and the Environment; University of Oxford; Oxford UK, Department of Biology; Sonoma State University; Rohnert Park CA USA, Environmental Change Institute, School of Geography and the Environment; University of Oxford; Oxford UK, Departamento de Ecologia; Universidad Nacional San Antonio Abad del Cusco; Cusco Perú, Instituto Multidisciplinario de Biología Vegetal (IMBIV); CONICET and Universidad Nacional de Córdoba; Córdoba Argentina, Departamento de Ecologia; Universidad Nacional San Antonio Abad del Cusco; Cusco Perú, Department of Ecology and Evolutionary Biology; University of Arizona; Tucson AZ USA, Department of Global Ecology; Carnegie Institution for Science; Stanford CA USA, Department of Global Ecology; Carnegie Institution for Science; Stanford CA USA, Environmental Change Institute, School of Geography and the Environment; University of Oxford; Oxford UK |
| Publisher | AMER GEOPHYSICAL UNION |
| Source Sets | University of Arizona |
| Language | English |
| Detected Language | English |
| Type | Article |
| Rights | ©2017. American Geophysical Union. All Rights Reserved. |
| Relation | http://doi.wiley.com/10.1002/2017JG003883 |
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