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Multielement stoichiometry in Quercus variabilis under natural phosphorus variation in subtropical China.

Zhou X, Sun X, Du B, Yin S, Liu C - Sci Rep (2015)

Bottom Line: The results showed that element ratios were more stable (except for C:P and Mn:P) than individual element concentrations.Of the individual elements, protein-related elements (e.g. N, S, and Fe) were correlated with leaf P while non-protein elements (e.g. C, K, and Ca) were not.The degree of homeostasis indicated that macroelements (N, P, and Ca) concentrations were more variable than microelements (Mn, Zn, and Al) under a varying element concentration in soils.

View Article: PubMed Central - PubMed

Affiliation: School of Agriculture and Biology and Research Center for Low-Carbon Agriculture, Shanghai Jiao Tong University, Dongchuan Rd. 800, Shanghai 200240, China.

ABSTRACT
Plant stoichiometry in relation to environmental factors has recently received increasing attention. However, regulations and variations of plant elements in different environments are not well understood. We investigated homeostasis and variation of macroelements (C, N, P, K, Ca, Mg, and S), essential microelements (Fe, Mn, and Zn) and non-essential elements (Al) in Quercus variabilis leaves at a range of natural P concentration from P-rich to P-deficient (typical subtropical conditions) soils. The results showed that element ratios were more stable (except for C:P and Mn:P) than individual element concentrations. Of the individual elements, protein-related elements (e.g. N, S, and Fe) were correlated with leaf P while non-protein elements (e.g. C, K, and Ca) were not. The degree of homeostasis indicated that macroelements (N, P, and Ca) concentrations were more variable than microelements (Mn, Zn, and Al) under a varying element concentration in soils. These results suggest that local P-rich geochemistry alters leaf element concentrations, but not element ratios, and that plants are capable of meeting their needs for elements in certain proportions to achieve optimal performance under varying elemental conditions.

No MeSH data available.


Related in: MedlinePlus

Relationships between element concentrations and their coefficients of variation (CV) in Q. variabilis leaves across the study area in Yunnan Province, southwestern China.The data of Mn circled are excluded from the analysis.
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f5: Relationships between element concentrations and their coefficients of variation (CV) in Q. variabilis leaves across the study area in Yunnan Province, southwestern China.The data of Mn circled are excluded from the analysis.

Mentions: The variation in element concentrations decreased with the increase of element concentrations for both site types (regression slope = −2.2 and p = 0.017 for P-rich sites and regression slope = −2.1 and p = 0.015 for P-deficient sites, Fig. 5). This trend (regression slope) was statistically similar between the two site types (ANCOVA, F = 0.008, p = 0.93) (Fig. 5).


Multielement stoichiometry in Quercus variabilis under natural phosphorus variation in subtropical China.

Zhou X, Sun X, Du B, Yin S, Liu C - Sci Rep (2015)

Relationships between element concentrations and their coefficients of variation (CV) in Q. variabilis leaves across the study area in Yunnan Province, southwestern China.The data of Mn circled are excluded from the analysis.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4296308&req=5

f5: Relationships between element concentrations and their coefficients of variation (CV) in Q. variabilis leaves across the study area in Yunnan Province, southwestern China.The data of Mn circled are excluded from the analysis.
Mentions: The variation in element concentrations decreased with the increase of element concentrations for both site types (regression slope = −2.2 and p = 0.017 for P-rich sites and regression slope = −2.1 and p = 0.015 for P-deficient sites, Fig. 5). This trend (regression slope) was statistically similar between the two site types (ANCOVA, F = 0.008, p = 0.93) (Fig. 5).

Bottom Line: The results showed that element ratios were more stable (except for C:P and Mn:P) than individual element concentrations.Of the individual elements, protein-related elements (e.g. N, S, and Fe) were correlated with leaf P while non-protein elements (e.g. C, K, and Ca) were not.The degree of homeostasis indicated that macroelements (N, P, and Ca) concentrations were more variable than microelements (Mn, Zn, and Al) under a varying element concentration in soils.

View Article: PubMed Central - PubMed

Affiliation: School of Agriculture and Biology and Research Center for Low-Carbon Agriculture, Shanghai Jiao Tong University, Dongchuan Rd. 800, Shanghai 200240, China.

ABSTRACT
Plant stoichiometry in relation to environmental factors has recently received increasing attention. However, regulations and variations of plant elements in different environments are not well understood. We investigated homeostasis and variation of macroelements (C, N, P, K, Ca, Mg, and S), essential microelements (Fe, Mn, and Zn) and non-essential elements (Al) in Quercus variabilis leaves at a range of natural P concentration from P-rich to P-deficient (typical subtropical conditions) soils. The results showed that element ratios were more stable (except for C:P and Mn:P) than individual element concentrations. Of the individual elements, protein-related elements (e.g. N, S, and Fe) were correlated with leaf P while non-protein elements (e.g. C, K, and Ca) were not. The degree of homeostasis indicated that macroelements (N, P, and Ca) concentrations were more variable than microelements (Mn, Zn, and Al) under a varying element concentration in soils. These results suggest that local P-rich geochemistry alters leaf element concentrations, but not element ratios, and that plants are capable of meeting their needs for elements in certain proportions to achieve optimal performance under varying elemental conditions.

No MeSH data available.


Related in: MedlinePlus