Open Access
ARTICLE
Responses of leaf δ13C and leaf traits to precipitation and temperature in arid ecosystem of northwestern China
Xin ZM1,2, MH Liu2, Q Lu1,3, CA Busso5, YJ Zhu1,3, Z Li2, YR Huang2, XL Li2, FM Luo2, F Bao1, JQ Qian4*, YH Li1,3*
1 Institute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China.
2 Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou County, Inner Mongolia 015200, China.
3 Kumtag Desert Ecosystem Research Station, State Forestry Administration, Dunhuang, Gansu 736200, China.
4 College of Forestry, Henan Agricultural University, Zhengzhou 450002, China.
5 Departamento de Agronomía-CERZOS (Centro de Recursos Naturales Renovables de la Zona Semiárida: CONICET), Universidad Nacional del Sur, San Andrés 800, 8000
Bahía Blanca, Buenos Aires, Argentina.
Address correspondence to: Yonghua Li & Jianqiang Qian, NO. 10 Huaishuju Road, Haidian District, Beijing 100091, China, e-mail: ;
Phyton-International Journal of Experimental Botany 2018, 87(all), 144-155. https://doi.org/10.32604/phyton.2018.87.144
Abstract
Leaf δ
13C is widely used to explain plant strategies
related to resource availability in different environments. However,
the coupled response of leaf δ
13C to precipitation and temperature
as well as the relationship between leaf δ
13C and leaf traits remain
unclear. The leaf δ
13C 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
(N
mass)] 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
δ
13C-PGS relationship across Minqin and Dengkou, which lead to
the lacking effects of precipitation on leaf δ
13C across the two sites,
and higher leaf δ
13C at lower precipitation in Minqin. Across Minqin
and Dengkou, PGS could only explain 14% of the variation in leaf
δ
13C. The combination of PGS and TGS could explain 64% of the
variation in leaf δ
13C. Leaf traits (LW and L:W) further improved
the estimation of leaf δ
13C. The combinations of PGS, TGS, LW
and L:W could explain 84% of the variation in leaf δ
13C. Our study
demonstrated the importance of leaf traits in exploring the responses
of leaf δ
13C to global changes in arid ecosystems.
Keywords
Cite This Article
ZM, X., Liu, M., Lu, Q., Busso, C., Zhu, Y. et al. (2018). Responses of leaf δ
13C and leaf traits to precipitation and temperature in arid ecosystem of northwestern China.
Phyton-International Journal of Experimental Botany, 87(all), 144–155. https://doi.org/10.32604/phyton.2018.87.144
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