Soil microbial biomass and functional diversity in shrub-encroached grasslands along a precipitation gradient

Mureva, Admore; Ward, David

doi:10.1016/j.pedobi.2017.06.006

Cited by 21 publications

(9 citation statements)

References 61 publications

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“…R. typhina roots extracts decrease the AWCD, diversity and evenness, and inhabit on soil microbial carbon utilization activity. AWCD reflects single carbon source utilization ability and metabolic activity of soil microbe, and the lower the value, the lower the metabolic activity of soil microorganism [31,32]. All six groups of substrate utilization are altered by root extracts, with carbohydrates, carboxylic acids and polymers decreasing and phenolic acid increasing in treated soils.…”

Section: Discussionmentioning

confidence: 99%

Invasive species allelopathy decreases plant growth and soil microbial activity

Peng

et al. 2021

PLoS ONE

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According to the ‘novel weapons hypothesis’, invasive success depends on harmful plant biochemicals, including allelopathic antimicrobial roots exudate that directly inhibit plant growth and soil microbial activity. However, the combination of direct and soil-mediated impacts of invasive plants via allelopathy remains poorly understood. Here, we addressed the allelopathic effects of an invasive plant species (Rhus typhina) on a cultivated plant (Tagetes erecta), soil properties and microbial communities. We grew T. erecta on soil samples at increasing concentrations of R. typhina root extracts and measured both plant growth and soil physiological profile with community-level physiological profiles (CLPP) using Biolog Eco-plates incubation. We found that R. typhina root extracts inhibit both plant growth and soil microbial activity. Plant height, Root length, soil organic carbon (SOC), total nitrogen (TN) and AWCD were significantly decreased with increasing root extract concentration, and plant above-ground biomass (AGB), below-ground biomass (BGB) and total biomass (TB) were significantly decreased at 10 mg·mL-1 of root extracts. In particular, root extracts significantly reduced the carbon source utilization of carbohydrates, carboxylic acids and polymers, but enhanced phenolic acid. Redundancy analysis shows that soil pH, TN, SOC and EC were the major driving factors of soil microbial activity. Our results indicate that strong allelopathic impact of root extracts on plant growth and soil microbial activity by mimicking roots exudate, providing novel insights into the role of plant–soil microbe interactions in mediating invasion success.

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Section: Discussionmentioning

confidence: 99%

Invasive species allelopathy decreases plant growth and soil microbial activity

Peng

et al. 2021

PLoS ONE

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“…The SSCB test has been reported to distinguish CO 2 respiration differences between various treatment effects in cropped and noncropped situations (Goupil and Nkongolo. 2014; Sadeghpour et al, 2016; Sciarappa et al, 2017; Mureva and Ward, 2017; Ward et al, 2017; Chahal and van Eerd, 2018; Norris et al, 2018). As a predictor of plant growth or crop yield, though, the SSCB test has not been reliable or consistent in the few published peer‐reviewed field studies that used this test (Castro Bustamante and Hartz, 2016; Ward et al, 2017; Chahal and van Eerd, 2018; Bamber et al, 2018; Norris et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

“…As an assessment of soil CO 2 respiration, the SSCB test has been evaluated in various crop and grassland systems (Goupil and Nkongolo, 2014; McDonald et al, 2014; Castro Bustamante and Hartz, 2016; Sadeghpour et al, 2016; Sciarappa et al, 2017; Mureva and Ward, 2017; Ward et al, 2017; Bamber et al, 2018; Chahal and van Eerd, 2018; Norris et al, 2018). The SSCB test is positively and significantly ( P < 0.05) correlated with SOM (McDonald et al, 2014; Castro Bustamante and Hartz, 2016; Sadeghpour et al, 2016; Rogers et al, 2018), soil total organic C and N (Haney et al, 2012; McDonald et al, 2014), soil N mineralization (Haney et al, 2008b; McDonald et al, 2014; Castro Bustamante and Hartz, 2016; Rogers et al, 2018), plant‐mineralizable N (Norris et al, 2018), soil water‐extractable organic C and N (Haney et al, 2012; Castro Bustamante and Hartz, 2016), soil P mineralization (Haney et al, 2008b), and chloroform fumigation extraction microbial biomass C (Chatterjee and Acharya, 2018).…”

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confidence: 99%

“…Across different locations in the Virginia Coastal Plain, SSCB–C concentrations were positively, but weakly, correlated to relative maize ( Zea mays L.) yields (Norris et al, 2018) and wheat grain yields in the 0‐kg N ha −1 fertilization treatment (Bamber et al, 2018). To date, there have been no peer‐reviewed reports of evaluating the SSCB test in turfgrass systems, but it has been evaluated in grassland soils in Ireland (McDonald et al, 2014) and in South African grasslands (Mureva and Ward, 2017; Ward et al, 2017).…”

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confidence: 99%

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Predicting Cool‐Season Turfgrass Response with Solvita Soil Tests, Part 2: CO₂–Burst Carbon Concentrations

et al. 2019

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Current turfgrass fertilizer recommendations do not account for plant‐available soil N mineralized from labile C fractions. The Solvita Soil CO2–Burst (SSCB) test can measure mineralizable C via soil CO2 respiration. This study was conducted across 3 yr (2014–2016) in Connecticut to determine: (i) if SSCB–C concentrations are correlated to responses from predominately Kentucky bluegrass (Poa pratensis L.) and tall fescue [Schedonorus arundinaceus (Schreb.) Dumort.] lawns, and (ii) the probability of turfgrass responses being equal to or greater than responses from common urea rates in relation to SSCB–C concentrations. Randomized complete block design field experiments were set out with 23 rates of organic fertilizer (0–2000 kg N ha−1 yr−1) and four different rates of urea (50, 100, 150, and 200 kg N ha−1 yr−1). Yearly spring soil samples were analyzed for SSCB–C concentrations and correlated with turfgrass responses. Growth and quality responded positively and linearly (P < 0.001) to SSCB–C concentrations, but variability was high and correlations were relatively weak. When spring soil SSCB–C concentrations were ≥91, 113, 166, and 211 mg kg−1, there was a ≥90% probability that overall combined responses across species and variables would be equal to or greater than responses obtained from urea rates of 50, 100, 150, and 200 kg N ha−1 yr−1, respectively. The SSCB test has promise for predicting the probability of soils supporting turfgrass whose performance equals or exceeds benchmark values. This would be helpful in guiding N fertilization, but high variability within the test may limit its predictive ability.

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“…Indeed, recent studies have investigated links between particular groups of organisms, and general relationships between diversity and processes have been found. However, studies either detail microbial diversity across general vegetation, land use or habitat classes (Chen et al, 2015;Flores-Rentería, Rincón, Valladares, & Yuste, 2016;Kaiser et al, 2016;Paula et al, 2014), correlate the general processes governed by microbes (such as soil respiration, microbial biomass or microbial enzyme activities) with detailed surveys of plant communities (Purahong et al, 2016;Strecker, González Macé, Scheu, & Eisenhauer, 2016) or infer microbial diversity indirectly from the physiological profiling of soil samples ("functional diversity"), rather than determining taxonomic diversity directly via genetic analysis (Araya, Bartelheimer, Valle, Crujeiras, & García-Baquero, 2017;Klimek, Chodak, Jaźwa, & Niklińska, 2016;Klimek et al, 2015;Markowicz, Woźniak, Borymski, Piotrowska-Seget, & Chmura, 2015;Mureva & Ward, 2017). The responses of microbial functional and taxonomic diversities to changes in plant productivity are not directly comparable (Zhang, Johnston, Barberán, Ren, & Lü, 2017) and likely reflect the operation of different processes.…”

Section: Introductionmentioning

confidence: 99%

Differential biodiversity responses between kingdoms (plants, fungi, bacteria and metazoa) along an Alpine succession gradient

et al. 2018

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Biological diversities of multiple kingdoms potentially respond in similar ways to environmental changes. However, studies either compare details of microbial diversity across general vegetation or land use classes or relate details of plant community diversity with the extent of microbially governed soil processes, via physiological profiling. Here, we test the hypothesis of shared responses of plant and rhizosphere bacterial, fungal and metazoan biodiversities (especially across-habitat β-diversity patterns) along a disturbance gradient encompassing grazed to abandoned Alpine pasture, on acid soil in the European Central Alps. Rhizosphere biological diversity was inferred from eDNA fractions specific to bacteria, fungi and metazoans from contrasting plant habitats indicative of different disturbance levels. We found that soil β-diversity patterns were weakly correlated with plant diversity measures and similarly ordinated along an evident edaphic (pH, C:N, assimilable P) and disturbance gradient but, contrary to our hypothesis, did not demonstrate the same diversity patterns. While plant communities were well separated along the disturbance gradient, correlating with fungal diversity, the majority of bacterial taxa were shared between disturbance levels (75% of bacteria were ubiquitous, cf. 29% plant species). Metazoa exhibited an intermediate response, with communities at the lowest levels of disturbance partially overlapping. Thus, plant and soil biological diversities were only loosely dependent and did not exhibit strictly linked environmental responses. This probably reflects the different spatial scales of organisms (and their habitats) and capacity to invest resources in persistent multicellular tissues, suggesting that vegetation responses to environmental change are unreliable indicators of below-ground biodiversity responses.

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Soil microbial biomass and functional diversity in shrub-encroached grasslands along a precipitation gradient

Cited by 21 publications

References 61 publications

Invasive species allelopathy decreases plant growth and soil microbial activity

Invasive species allelopathy decreases plant growth and soil microbial activity

Predicting Cool‐Season Turfgrass Response with Solvita Soil Tests, Part 2: CO₂–Burst Carbon Concentrations

Differential biodiversity responses between kingdoms (plants, fungi, bacteria and metazoa) along an Alpine succession gradient

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Soil microbial biomass and functional diversity in shrub-encroached grasslands along a precipitation gradient

Cited by 21 publications

References 61 publications

Invasive species allelopathy decreases plant growth and soil microbial activity

Invasive species allelopathy decreases plant growth and soil microbial activity

Predicting Cool‐Season Turfgrass Response with Solvita Soil Tests, Part 2: CO2–Burst Carbon Concentrations

Differential biodiversity responses between kingdoms (plants, fungi, bacteria and metazoa) along an Alpine succession gradient

Contact Info

Product

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About

Predicting Cool‐Season Turfgrass Response with Solvita Soil Tests, Part 2: CO₂–Burst Carbon Concentrations