Back to Search Start Over

Plant functional traits and canopy structure control the relationship between photosynthetic CO 2 uptake and far-red sun-induced fluorescence in a Mediterranean grassland under different nutrient availability.

Authors :
Migliavacca M
Perez-Priego O
Rossini M
El-Madany TS
Moreno G
van der Tol C
Rascher U
Berninger A
Bessenbacher V
Burkart A
Carrara A
Fava F
Guan JH
Hammer TW
Henkel K
Juarez-Alcalde E
Julitta T
Kolle O
Martín MP
Musavi T
Pacheco-Labrador J
Pérez-Burgueño A
Wutzler T
Zaehle S
Reichstein M
Source :
The New phytologist [New Phytol] 2017 May; Vol. 214 (3), pp. 1078-1091. Date of Electronic Publication: 2017 Feb 09.
Publication Year :
2017

Abstract

Sun-induced fluorescence (SIF) in the far-red region provides a new noninvasive measurement approach that has the potential to quantify dynamic changes in light-use efficiency and gross primary production (GPP). However, the mechanistic link between GPP and SIF is not completely understood. We analyzed the structural and functional factors controlling the emission of SIF at 760 nm (F <subscript>760</subscript> ) in a Mediterranean grassland manipulated with nutrient addition of nitrogen (N), phosphorous (P) or nitrogen-phosphorous (NP). Using the soil-canopy observation of photosynthesis and energy (SCOPE) model, we investigated how nutrient-induced changes in canopy structure (i.e. changes in plant forms abundance that influence leaf inclination distribution function, LIDF) and functional traits (e.g. N content in dry mass of leaves, N%, Chlorophyll a+b concentration (Cab) and maximum carboxylation capacity (V <subscript>cmax</subscript> )) affected the observed linear relationship between F <subscript>760</subscript> and GPP. We conclude that the addition of nutrients imposed a change in the abundance of different plant forms and biochemistry of the canopy that controls F <subscript>760</subscript> . Changes in canopy structure mainly control the GPP-F <subscript>760</subscript> relationship, with a secondary effect of Cab and V <subscript>cmax</subscript> . In order to exploit F <subscript>760</subscript> data to model GPP at the global/regional scale, canopy structural variability, biodiversity and functional traits are important factors that have to be considered.<br /> (© 2017 The Authors. New Phytologist © 2017 New Phytologist Trust.)

Details

Language :
English
ISSN :
1469-8137
Volume :
214
Issue :
3
Database :
MEDLINE
Journal :
The New phytologist
Publication Type :
Academic Journal
Accession number :
28181244
Full Text :
https://doi.org/10.1111/nph.14437