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Ecological stoichiometric characteristics of Carbon (C), Nitrogen (N) and Phosphorus (P) in leaf, root, stem, and soil in four wetland plants communities in Shengjin Lake, China

D. Dibar,Kun Zhang,Suqiang Yuan,Jinyu Zhang,Zhongze Zhou,Xiaoxing Ye

Published 2020 in bioRxiv

ABSTRACT

Ecological stoichiometric should be incorporated into management and nutrient impacted ecosystems dynamic to understand the status of ecosystems and ecological interaction. The present study focused on ecological stoichiometric characteristics of different macrophyte plants soil, leave, stem and root after the removal of seine fishing since 2000 from Shengjin Lake. For C, N and P analysis from leaves, stems, roots and soil to explore their stoichiometric ratio and deriving environmental forces here four dominant plant communities (Zizania caduciflora, Vallisineria natans, Trapa quadrispinosa and Carex schmidtii) were collected. C, N, P and C: N: P ratio in leafs, stems, roots and soil among the plant communities vary and the studied plant communities had significant effect on the measured variables. There was high C: N in C.schmidtii soil (7.08±1.504) but not vary significantly (P >0.05), and N: P ratio measured high in V. natans (13.7±4.05) and C: P in T.quadrispinosa soil (81.14±43.88) and showed significant variation (P<0.05) respectively. High leaf C: N and N: P ratio was measured in C. schmidtii and V. natans respectively. Nevertheless, high leaf C: P ratio was measured in Z.caduciflora. From the three studied organs leafs C: N, N: P ratio showed high values compared to root and stems. The correlation analysis result showed that, at 0-10cm depth ranges SOC correlated negatively with stem total phosphorus (STP), and RTN (P<0.05) but positively strongly with LTP and LTN (P<0.01) respectively. Soil total nitrogen at 0-10cm strongly positively correlated with LTP (P<0.01) and positively with RN: P and LTC (P<0.05). Soil basic properties such as SMC.BD and pH positively correlated with soil ecological stoichiometric characteristics. Redundancy analysis (RDA) result showed pH and available phosphorus were the potential determinant of soil stoichiometry.

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