4.7 Article

Does soil phosphomonoesterase activity reflect phosphorus pools estimated by Hedley phosphorus fractionation?

期刊

GEODERMA
卷 401, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.geoderma.2021.115279

关键词

Phosphatase; Sequential fractionation; Organic phosphorus; Structural equation modeling; Product inhibition; Substrate induction

资金

  1. Department of Crop Sciences at the University of Illinois at Urbana-Champaign
  2. Richard H. and Elizabeth C. Hageman Endowed Graduate Research Fellowship

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The study examines the relationships between P fractions and PME activity in different ecosystems, shedding light on the cycling characteristics of phosphorus in soil and providing insights into how soil P cycling determines P availability.
Understanding soil phosphorus (P) availability can benefit from characterizing P pools and processes governing P distribution among such pools. Hedley P fractionation has been widely used to characterize P pools, whereas soil phosphomonoesterase (PME) activity assays have been used to assess potential rates of organic P (P-o) mineralization to available inorganic P (P-i). We evaluated 1) the extent to which P fractions are consistent with the theorized P pools and 2) relationships of PME activity with P fractions using observations compiled across diverse (agm)ecosystems. We hypothesized that P fractions are differentiated based on the form (i.e. organic and inorganic) and availability of P pools they estimate. Given that P-i is product and P-o is substrate for PME, we further hypothesized that PME activity associates negatively with P-i fractions representing available P pool and positively with P-o fractions. Factor analysis grouped measured P fractions into three pools: non-occluded P-i, soil organic P, and secondary P-i. These groupings generally supported the differentiation of P fractions by form (P-i vs P-o) and availability of P pools they are commonly used to estimate but were also sensitive to the degree of soil weathering. Structural equation modeling supported biochemical mechanisms of product inhibition and substrate induction of PME activity and also identified an influence of weathering degree on relationships of specific measured P fractions with PME activity. This work demonstrates that evaluating PME activity in conjunction with P fractions can be a useful framework to better understand soil P cycling. Incorporating additional variables-such as P-o fractionated physically or enzymatically, and phosphodiesterase activity-into the current statistical framework may further improve understanding of how soil P cycling determines P availability.

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