Literature DB >> 32227303

Quality dependence of litter decomposition and its carbon, nitrogen and phosphorus release under simulated acid rain treatments.

Hui Wei1,2,3, Rui Ma1, Jiaen Zhang4,5,6, Leyi Zhou1, Ziqiang Liu1, Zhenyi Fan1, Jiayue Yang1, Xiaoran Shan1, Huimin Xiang1,2,3.   

Abstract

Litter decomposition is of utmost importance to elemental cycling in terrestrial ecosystems, with litter quality being frequently considered to predominantly control litter decomposition. However, how acid rain (AR) would affect litter decomposition and its elements release remains inconclusive, although AR has widely occurred in Europe, North America, and East Asia. This study was conducted to observe leaf litter decomposition and release of carbon (C), nitrogen (N), and phosphorus (P) of three crops (maize, rice, and soybean) under simulated AR treatments. Results showed that the accumulated mass loss during decomposition was significantly different among species, supporting the view of litter quality predominantly controlling decomposition. Specifically, quality dependence of litter decomposition was observed in the late stage of decomposition, while mass loss of litters was comparable in the first month among species. With decomposition, the litter C/N ratio significantly increased for the three species while the C/P and N/P ratios significantly decreased or tended to decrease, suggesting that litter N was released preferentially over C and P. However, AR treatments did not significantly affect litter decomposition and its elements release in our investigation period. Moreover, litter P content appeared to strongly affect the release of C, N, and P during litter decomposition, and such P dependence could to some extent be alleviated by AR treatments. Our results suggest that AR may change the quality dependence of litter decomposition and further studies are needed to illustrate its potential mechanisms.

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Keywords:  Acid deposition; Agroecosystem; Atmospheric deposition; Nutrient release; Residue decay

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Year:  2020        PMID: 32227303     DOI: 10.1007/s11356-020-08423-x

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  2 in total

1.  Higher Sensitivity of Microbial Network Than Community Structure under Acid Rain.

Authors:  Ziqiang Liu; Hui Wei; Jiaen Zhang; Muhammad Saleem; Yanan He; Jiawen Zhong; Rui Ma
Journal:  Microorganisms       Date:  2021-01-06

2.  Effects of simulated acid rain on rhizosphere microorganisms of invasive Alternanthera philoxeroides and native Alternanthera sessilis.

Authors:  Mengying He; Zexun Hua; Hanying Chen; Yao Liu; Yue Li; Zhen Zhang
Journal:  Front Microbiol       Date:  2022-09-09       Impact factor: 6.064

  2 in total

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