Extracellular enzyme stoichiometry reveals the carbon and phosphorus limitations of microbial metabolisms in the rhizosphere and bulk soils in alpine ecosystems

Cui, Yongxing; Bing, Haijian; Fang, Linchuan; Jiang, Mao; Shen, Guoting; Yu, Jialuo; Wang, Xia; Zhu, He; Wu, Yanhong; Zhang, Xingchang

doi:10.1007/s11104-019-04159-x

Cited by 149 publications

(91 citation statements)

References 48 publications

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“…Corresponding ecoenzymatic stoichiometry models typically incorporate multiple enzyme activities in the soil C, N, and P cycles (Table S1). As a result, this new methodology has been used to assess soil nutrient cycles and microbial metabolic functions within ecological systems (Tapia-Torres et al, 2015;Cui et al, 2019b) and to identify microbial response to environmental change (Cui et al, 2018(Cui et al, , 2019a. Up to now, five common ecoenzymatic stoichiometry models were proposed (Table 3), which are robust and concise means to characterize the metabolic characteristics of microorganisms in responding to various environmental changes.…”

Section: Ecoenzymatic Stoichiometry Modelsmentioning

confidence: 99%

Evaluation methods of heavy metal pollution in soils based on enzyme activities: A review

Cui

Wang

et al. 2021

Soil Ecol. Lett.

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Soil enzyme activities have been suggested as suitable indicators for the evaluation of metal contamination because they are susceptible to microbial changes caused by heavy metal stress and are strictly related to soil nutrient cycles. However, there is a growing lack of recognition and summary of the historic advancements that use soil enzymology as the proposal of evaluation methods. Here, we review the most common methods of heavy metal pollution evaluation based on enzyme activities, which include single enzyme index, combined enzyme index, enzyme-based functional diversity index, microbiological stress index, and ecoenzymatic stoichiometry models. This review critically examines the advantages and disadvantages of these methods based on their execution complexity, performance, and ecological implications and gets a glimpse of avenues to come to improved future evaluation systems. Indices based on a single enzyme are variable and have no consistent response to soil heavy metals, and the following three composite indices are characterized by the loss of many critical microbial processes, which thus not conducive to reflect the effects of heavy metals on soil ecosystems. Considering the dexterity of ecoenzymatic stoichiometry methods in reflecting changes in soil functions under heavy metal stress, we propose that microbial metabolic limitations quantified by ecoenzymatic stoichiometry models could be promising indicators for enhancing the reality and acceptance of results and further improving the potential for actual utility in environmental decision-making.

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Section: Ecoenzymatic Stoichiometry Modelsmentioning

confidence: 99%

Evaluation methods of heavy metal pollution in soils based on enzyme activities: A review

Cui

Wang

et al. 2021

Soil Ecol. Lett.

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“…Soil C accumulation is enhanced by low ST and acidic and anaerobic conditions, all of which inhibit the decomposition process (Banday et al, 2019;Devi and Sherpa, 2019). As an important driver of the microbial community and microbial C limitation (Walker et al, 2018), ST was significantly lower at high altitudes than at low altitudes (Cui et al, 2019). Increased soil C and MBC are known to positively correlate with high SM and low ST (Baldrian et al, 2010;Quan et al, 2019).…”

Section: Previous Analyses Bymentioning

confidence: 99%

Distribution of Soil Extracellular Enzymatic, Microbial, and Biological Functions in the C and N-Cycle Pathways Along a Forest Altitudinal Gradient

et al. 2021

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The diverse chemical, biological, and microbial properties of litter and organic matter (OM) in forest soil along an altitudinal gradient are potentially important for nutrient cycling. In the present study, we sought to evaluate soil chemical, biological, microbial, and enzymatic characteristics at four altitude levels (0, 500, 1,000, and 1,500 m) in northern Iran to characterize nutrient cycling in forest soils. The results showed that carbon (C) and nitrogen (N) turnover changed with altitude along with microbial properties and enzyme activity. At the lowest altitude with mixed forest and no beech trees, the higher content of N in litter and soil, higher pH and microbial biomass nitrogen (MBN), and the greater activities of aminopeptidases affected soil N cycling. At elevations above 1,000 m, where beech is the dominant tree species, the higher activities of cellobiohydrolase, arylsulfatase, β-xylosidase, β-galactosidase, endoglucanase, endoxylanase, and manganese peroxidase (MnP) coincided with higher basal respiration (BR), substrate-induced respiration (SIR), and microbial biomass carbon (MBC) and thus favored conditions for microbial entropy and C turnover. The low N content and high C/N ratio at 500-m altitude were associated with the lowest microbial and enzyme activities. Our results support the view that the plain forest with mixed trees (without beech) had higher litter quality and soil fertility, while forest dominated by beech trees had the potential to store higher C and can potentially better mitigate global warming.

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“…Increased research attention has been paid to spatial patterns of C, N and P distribution in mountainous forests, and immense variability of their altitudinal distribution has been recognized in various regions [1][2]. There are reports that soil C and N concentrations were higher at medium altitudes than that at low or high altitudes, and P concentrations increased significantly with the rising of altitude, suggesting an increase in N limitation to forests at higher elevations [3][4]. Other studies observed that soil C and N concentrations were relatively stable along the altitudinal gradients, but soil P concentration kept a decreasing trend with the increase in elevation, suggesting an increase in P limitation to forests at higher elevations [5].…”

Section: Introductionmentioning

confidence: 99%

Effects of slope aspect on altitudinal pattern of soil C:N:P stoichiometry in alpine forest of Tibet

Guo

He-ping

et al. 2021

E3S Web Conf.

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Knowledge of altitudinal patterns in soil C, N and P distribution is important for understanding biogeochemical processes in mountainous forests, yet the influence of slope aspects on soil stoichiometry has been largely neglected in previous studies. In this paper, a total number of 150 topsoil samples at four altitudes (3700, 3900, 4100, 4380 m a.s.l.) on sunny and shady slopes of Sygera mountains in the Southeastern Tibet were collected. Soil C, N and P contents, and pH, were measured. Soil temperature, moisture and richness of plant species were investigated at each sampling site. The results showed that: 1) in sunny slope, soil C, N and P concentrations increased with the increase in altitude, whereas soil C:N, C:P, and N:P decreased along the altitudinal gradient on s. Soil moisture was the main regulator of soil nutrition and stoichiometric ratios. 2) In shady slope, soil C and N contents had no significant difference along the altitudinal gradient except the higher values at low altitude, whereas soil P increased first and then decreased. Soil C:N increased with the increase in altitude, whereas C:P and N:P decreased first and then increased. Soil temperature and species richness were the main factors influencing soil nutrition and stoichiometric ratios. 3) Decoupling of soil C:N:P stoichiometry was observed in shady slope owing to changes in soil pH and temperature. 4) The rich contents of soil C and P were observed at two slopes along the altitudinal gradient, and high capacity of N supply existed at the topsoil in shady slope. These results suggested that slope aspect plays an important role in shaping the altitudinal pattern of soil C:N:P stoichiometry in mountainous forests.

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Extracellular enzyme stoichiometry reveals the carbon and phosphorus limitations of microbial metabolisms in the rhizosphere and bulk soils in alpine ecosystems

Cited by 149 publications

References 48 publications

Evaluation methods of heavy metal pollution in soils based on enzyme activities: A review

Evaluation methods of heavy metal pollution in soils based on enzyme activities: A review

Distribution of Soil Extracellular Enzymatic, Microbial, and Biological Functions in the C and N-Cycle Pathways Along a Forest Altitudinal Gradient

Effects of slope aspect on altitudinal pattern of soil C:N:P stoichiometry in alpine forest of Tibet

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