Stoichiometry of Soil, Microorganisms, and Extracellular Enzymes of <i>Zanthoxylum planispinum</i> var. <i>dintanensis</i> Plantations for Different Allocations

Plantations with different allocation patterns significantly affect soil elements, microorganisms, extracellular enzymes, and their stoichiometric characteristics. Rather than studying them as a continuum, this study used four common allocations of plantations: <i>Zanthoxylum planispinum</i...

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Bibliographic Details
Main Authors: Yitong Li, Yanghua Yu, Yanping Song
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Agronomy
Subjects:
Online Access:https://www.mdpi.com/2073-4395/12/7/1709
Description
Summary:Plantations with different allocation patterns significantly affect soil elements, microorganisms, extracellular enzymes, and their stoichiometric characteristics. Rather than studying them as a continuum, this study used four common allocations of plantations: <i>Zanthoxylum planispinum</i> var. <i>dintanensis</i> (hereafter <i>Z. planispinum</i>) + <i>Prunus salicina</i>, <i>Z. planispinum</i> + <i>Sophora tonkinensis</i>, <i>Z. planispinum</i> + <i>Arachis hypogaea</i>, and <i>Z. planispinum</i> + <i>Lonicera japonica</i> plantations, as well as a single-stand <i>Z. planispinum</i> plantation as a control. Soil samples from depths of 0–10 and 10–20 cm at the five plantations were used to analyze the element stoichiometry, microorganisms and extracellular enzymes. (1) One-way analysis of variance (ANOVA) showed that the contents of soil organic carbon (C), nitrogen (N), phosphorus (P), and potassium (K) of <i>Z. planispinum</i> + <i>L. japonica</i> plantation were high, while those of calcium (Ca) and magnesium (Mg) were low compared to the <i>Z. planispinum</i> pure plantation; soil microbial and enzyme activities were also relatively high. Stoichiometric analysis showed that soil quality was good and nutrient contents were high compared to the other plantations, indicating that this was the optimal plantation. (2) Two-way ANOVA showed that stoichiometry was more influenced by plantation type than soil depth and their interaction, suggesting that plantation type significantly affected the ecosystem nutrient cycle; soil microbial biomass (MB) C:MBN:MBP was not sensitive to changes in planting, indicating that MBC:MBN:MBP was more stable than soil C:N:P, which can be used to diagnose ecosystem nutrient constraints. (3) Pearson’s correlation and standardized major axis analyses showed that there was no significant correlation between soil C:N:P and MBC:MBN:MBP ratios in this study; moreover, MBN:MBP had significant and extremely significant correlations with MBC:MBN and MBC:MBP. Fitting the internal stability model equation of soil nutrient elements and soil MBC, MBN, and MBP failed (<i>p</i> > 0.05), and the MBC, MBN, and MBP and their stoichiometric ratios showed an absolute steady state. This showed that, in karst areas with relative nutrient deficiency, soil microorganisms resisted environmental stress and showed a more stable stoichiometric ratio. Overall stoichiometric characteristics indicated that the <i>Z. planispinum</i> + <i>L. japonica</i> plantation performed best.
ISSN:2073-4395