@Article{phyton.2018.87.144,
AUTHOR = {Xin ZM, MH Liu, Q Lu, CA Busso, YJ Zhu, Z Li, YR Huang, XL Li, FM Luo, F Bao, JQ Qian, YH Li*},
TITLE = {Responses of leaf δ13C and leaf traits to precipitation and temperature in arid ecosystem of northwestern China},
JOURNAL = {Phyton-International Journal of Experimental Botany},
VOLUME = {87},
YEAR = {2018},
NUMBER = {all},
PAGES = {144--155},
URL = {http://www.techscience.com/phyton/v87nall/33937},
ISSN = {1851-5657},
ABSTRACT = {Leaf δ13C is widely used to explain plant strategies
related to resource availability in different environments. However,
the coupled response of leaf δ13C to precipitation and temperature
as well as the relationship between leaf δ13C and leaf traits remain
unclear. The leaf δ13C and its relationship with leaf traits [leaf size
(LS), leaf length (LL), leaf width (LW), leaf length to width ratio
(L:W), specific leaf area (SLA) and mass-based leaf nitrogen concentration
(Nmass)] were investigated on the dominant shrub species
Nitraria tangutorum Bobr. in the arid region (Dengkou and Minqin)
of northwestern China under the simulated increasing precipitation
(PGS) and ambient temperature (TGS) in plant growing season
from 2008 to 2010. Our results showed that LS, LW, LL, SLA and
Nmass significantly increased with increasing PGS, but had decreasing
tendencies with increasing TGS. However, the majority of the
negative relationships between leaf traits and TGS were not obvious
in Minqin. At the two study sites, L:W increased simultaneously
with increasing PGS and TGS. There was a shift in the negative leaf
δ13C-PGS relationship across Minqin and Dengkou, which lead to
the lacking effects of precipitation on leaf δ13C across the two sites,
and higher leaf δ13C at lower precipitation in Minqin. Across Minqin
and Dengkou, PGS could only explain 14% of the variation in leaf
δ13C. The combination of PGS and TGS could explain 64% of the
variation in leaf δ13C. Leaf traits (LW and L:W) further improved
the estimation of leaf δ13C. The combinations of PGS, TGS, LW
and L:W could explain 84% of the variation in leaf δ13C. Our study
demonstrated the importance of leaf traits in exploring the responses
of leaf δ13C to global changes in arid ecosystems.},
DOI = {10.32604/phyton.2018.87.144}
}