TY - JOUR
T1 - Tree size and climatic water deficit control root to shoot ratio in individual trees globally
AU - Ledo, Alicia
AU - Paul, Keryn I.
AU - Burslem, David F. R. P.
AU - Ewel, John J.
AU - Barton, Craig
AU - Battaglia, Michael
AU - Brooksbank, Kim
AU - Carter, Jennifer
AU - Eid, Tron Haakon
AU - England, Jacqueline R.
AU - Fitzgerald, Anthony
AU - Jonson, Justin
AU - Mencuccini, Maurizio
AU - Montagu, Kelvin D.
AU - Montero, Gregorio
AU - Mugasha, Wilson Ancelm
AU - Pinkard, Elizabeth
AU - Roxburgh, Stephen
AU - Ryan, Casey M.
AU - Ruiz-Peinado, Ricardo
AU - Sochacki, Stan
AU - Specht, Alison
AU - Wildy, Daniel
AU - Wirth, Christian
AU - Zerihun, Ayalsew
AU - Chave, Jérôme
PY - 2018
Y1 - 2018
N2 - Plants acquire carbon from the atmosphere and allocate it among different organs in response to environmental and developmental constraints (Hodge, 2004; Poorter et al., 2012). One classic example of differential allocation is the relative investment into aboveground vs belowground organs, captured by the root : shoot ratio (R : S; Cairns et al., 1997). Optimal partitioning theory suggests that plants allocate more resources to the organ that acquires the most limiting resource (Reynolds & Thornley, 1982; Johnson & Thornley, 1987). Accordingly, plants would allocate more carbon to roots if the limiting resources are belowground, that is water and nutrients, and would allocate more carbon aboveground when the limiting resource is light or CO2. This theory has been supported by recent research showing that the R : S of an individual plant is modulated by environmental factors (Poorter et al., 2012; Fatichi et al., 2014). However, understanding the mechanisms underpinning plant allocation and its response to environmental factors is an active field of research (Delpierre et al., 2016; Paul et al., 2016), and it is likely that plant size and species composition have an effect on R : S. Accounting for these sources of variation is an important challenge for modelling (Franklin et al., 2012).
AB - Plants acquire carbon from the atmosphere and allocate it among different organs in response to environmental and developmental constraints (Hodge, 2004; Poorter et al., 2012). One classic example of differential allocation is the relative investment into aboveground vs belowground organs, captured by the root : shoot ratio (R : S; Cairns et al., 1997). Optimal partitioning theory suggests that plants allocate more resources to the organ that acquires the most limiting resource (Reynolds & Thornley, 1982; Johnson & Thornley, 1987). Accordingly, plants would allocate more carbon to roots if the limiting resources are belowground, that is water and nutrients, and would allocate more carbon aboveground when the limiting resource is light or CO2. This theory has been supported by recent research showing that the R : S of an individual plant is modulated by environmental factors (Poorter et al., 2012; Fatichi et al., 2014). However, understanding the mechanisms underpinning plant allocation and its response to environmental factors is an active field of research (Delpierre et al., 2016; Paul et al., 2016), and it is likely that plant size and species composition have an effect on R : S. Accounting for these sources of variation is an important challenge for modelling (Franklin et al., 2012).
KW - carbon
KW - plant biomass
KW - trees
KW - water
UR - http://handle.westernsydney.edu.au:8081/1959.7/uws:46372
U2 - 10.1111/nph.14863
DO - 10.1111/nph.14863
M3 - Article
SN - 0028-646X
VL - 217
SP - 8
EP - 11
JO - New Phytologist
JF - New Phytologist
IS - 1
ER -