The Experts below are selected from a list of 182919 Experts worldwide ranked by ideXlab platform
Limei Zhang - One of the best experts on this subject based on the ideXlab platform.
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microbial community and functional structure significantly varied among distinct types of paddy Soils but responded differently along gradients of Soil Depth layers
Frontiers in Microbiology, 2017Co-Authors: Ren Bai, Juntao Wang, Ye Deng, Kai Feng, Limei ZhangAbstract:Paddy rice fields occupy broad agricultural area in China and cover diverse Soil types. Microbial community in paddy Soils is of great interest since many microorganisms are involved in Soil functional processes. In the present study, Illumina Mi-Seq sequencing and functional gene array (GeoChip 4.2) techniques were combined to investigate Soil microbial communities and functional gene patterns across the three Soil types including an Inceptisol (Binhai), an Oxisol (Leizhou), and an Ultisol (Taoyuan) along four profile Depths (up to 70 cm in Depth) in mesocosm incubation columns. Detrended correspondence analysis revealed that distinctly differentiation in microbial community existed among Soil types and profile Depths, while the manifest variance in functional structure was only observed among Soil types and two rice growth stages, but not across profile Depths. Along the profile Depth within each Soil type, Acidobacteria, Chloroflexi, and Firmicutes increased whereas Cyanobacteria, β-proteobacteria, and Verrucomicrobia declined, suggesting their specific ecophysiological properties. Compared to bacterial community, the archaeal community showed a more contrasting pattern with the predominant groups within phyla Euryarchaeota, Thaumarchaeota, and Crenarchaeota largely varying among Soil types and Depths. Phylogenetic molecular ecological network (pMEN) analysis further indicated that the pattern of bacterial and archaeal communities interactions changed with Soil Depth and the highest modularity of microbial community occurred in top Soils, implying a relatively higher system resistance to environmental change compared to communities in deeper Soil layers. Meanwhile, microbial communities had higher connectivity in deeper Soils in comparison with upper Soils, suggesting less microbial interaction in surface Soils. Structure equation models were developed and the models indicated that pH was the most representative characteristics of Soil type and identified as the key driver in shaping both bacterial and archaeal community structure, but did not directly affect microbial functional structure. The distinctive pattern of microbial taxonomic and functional composition along Soil profiles implied functional redundancy within these paddy Soils.
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microbial community and functional structure significantly varied among distinct types of paddy Soils but responded differently along gradients of Soil Depth layers
Frontiers in Microbiology, 2017Co-Authors: Ren Bai, Juntao Wang, Ye Deng, Kai Feng, Limei ZhangAbstract:Paddy rice fields occupy broad agricultural area in China and cover diverse Soil types. Microbial community in paddy Soils is of great interest since many microorganisms are involved in Soil functional processes. In the present study, Illumina Mi-Seq sequencing and functional gene array (GeoChip 4.2) techniques were combined to investigate Soil microbial communities and functional gene patterns across the three Soil types including an InceptiSoil (Binhai, BH), an Oxisol (Leizhou, LZ) and an Ultisol (Taoyuan, TY) along four profile Depths (up to 70 cm in Depth) in mesocosm incubation columns. Detrended correspondence analysis (DCA) revealed that distinctly differentiation in microbial community existed among Soil types and profile Depths, while the manifest variance in functional structure was only observed among Soil types and two rice growth stages, but not across profile Depths. Along the profile Depth within each Soil type, Acidobacteria, Chloroflexi and Firmicutes increased whereas Cyanobacteria, s-proteobacteria and Verrucomicrobia declined, suggesting their specific ecophysiological properties. Compared to bacterial community, the archaeal community showed a more contrasting pattern with the predominant groups within phyla Euryachaeota, Tharmarchaeota and Crenarchaeota largely varying among Soil types and Depth. Phylogenetic molecular ecological network (pMEN) analysis further indicated that the pattern of bacterial and archaeal community interactions changed with Soil Depth and the highest modularity of microbial community occurred in top Soils, implying a relatively higher system resistance to changes compared to communities in deeper Soil layers. Meanwhile, microbial communities had higher connectivity in deeper Soils in comparison with upper Soils, suggesting less microbial interaction in surface Soils. Structure equation models (SEM) were developed and the models indicated that pH was the most representative characteristics of Soil type and identified as the key driver in shaping both bacterial and archaeal community structure, but did not directly affect microbial functional structure. The distinctive pattern of microbial taxonomic and functional composition along Soil profiles implied functional redundancy within these paddy Soils.
Ren Bai - One of the best experts on this subject based on the ideXlab platform.
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microbial community and functional structure significantly varied among distinct types of paddy Soils but responded differently along gradients of Soil Depth layers
Frontiers in Microbiology, 2017Co-Authors: Ren Bai, Juntao Wang, Ye Deng, Kai Feng, Limei ZhangAbstract:Paddy rice fields occupy broad agricultural area in China and cover diverse Soil types. Microbial community in paddy Soils is of great interest since many microorganisms are involved in Soil functional processes. In the present study, Illumina Mi-Seq sequencing and functional gene array (GeoChip 4.2) techniques were combined to investigate Soil microbial communities and functional gene patterns across the three Soil types including an Inceptisol (Binhai), an Oxisol (Leizhou), and an Ultisol (Taoyuan) along four profile Depths (up to 70 cm in Depth) in mesocosm incubation columns. Detrended correspondence analysis revealed that distinctly differentiation in microbial community existed among Soil types and profile Depths, while the manifest variance in functional structure was only observed among Soil types and two rice growth stages, but not across profile Depths. Along the profile Depth within each Soil type, Acidobacteria, Chloroflexi, and Firmicutes increased whereas Cyanobacteria, β-proteobacteria, and Verrucomicrobia declined, suggesting their specific ecophysiological properties. Compared to bacterial community, the archaeal community showed a more contrasting pattern with the predominant groups within phyla Euryarchaeota, Thaumarchaeota, and Crenarchaeota largely varying among Soil types and Depths. Phylogenetic molecular ecological network (pMEN) analysis further indicated that the pattern of bacterial and archaeal communities interactions changed with Soil Depth and the highest modularity of microbial community occurred in top Soils, implying a relatively higher system resistance to environmental change compared to communities in deeper Soil layers. Meanwhile, microbial communities had higher connectivity in deeper Soils in comparison with upper Soils, suggesting less microbial interaction in surface Soils. Structure equation models were developed and the models indicated that pH was the most representative characteristics of Soil type and identified as the key driver in shaping both bacterial and archaeal community structure, but did not directly affect microbial functional structure. The distinctive pattern of microbial taxonomic and functional composition along Soil profiles implied functional redundancy within these paddy Soils.
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microbial community and functional structure significantly varied among distinct types of paddy Soils but responded differently along gradients of Soil Depth layers
Frontiers in Microbiology, 2017Co-Authors: Ren Bai, Juntao Wang, Ye Deng, Kai Feng, Limei ZhangAbstract:Paddy rice fields occupy broad agricultural area in China and cover diverse Soil types. Microbial community in paddy Soils is of great interest since many microorganisms are involved in Soil functional processes. In the present study, Illumina Mi-Seq sequencing and functional gene array (GeoChip 4.2) techniques were combined to investigate Soil microbial communities and functional gene patterns across the three Soil types including an InceptiSoil (Binhai, BH), an Oxisol (Leizhou, LZ) and an Ultisol (Taoyuan, TY) along four profile Depths (up to 70 cm in Depth) in mesocosm incubation columns. Detrended correspondence analysis (DCA) revealed that distinctly differentiation in microbial community existed among Soil types and profile Depths, while the manifest variance in functional structure was only observed among Soil types and two rice growth stages, but not across profile Depths. Along the profile Depth within each Soil type, Acidobacteria, Chloroflexi and Firmicutes increased whereas Cyanobacteria, s-proteobacteria and Verrucomicrobia declined, suggesting their specific ecophysiological properties. Compared to bacterial community, the archaeal community showed a more contrasting pattern with the predominant groups within phyla Euryachaeota, Tharmarchaeota and Crenarchaeota largely varying among Soil types and Depth. Phylogenetic molecular ecological network (pMEN) analysis further indicated that the pattern of bacterial and archaeal community interactions changed with Soil Depth and the highest modularity of microbial community occurred in top Soils, implying a relatively higher system resistance to changes compared to communities in deeper Soil layers. Meanwhile, microbial communities had higher connectivity in deeper Soils in comparison with upper Soils, suggesting less microbial interaction in surface Soils. Structure equation models (SEM) were developed and the models indicated that pH was the most representative characteristics of Soil type and identified as the key driver in shaping both bacterial and archaeal community structure, but did not directly affect microbial functional structure. The distinctive pattern of microbial taxonomic and functional composition along Soil profiles implied functional redundancy within these paddy Soils.
Wei Wang - One of the best experts on this subject based on the ideXlab platform.
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the effect of Soil Depth on temperature sensitivity of extracellular enzyme activity decreased with elevation evidence from mountain grassland belts
Science of The Total Environment, 2021Co-Authors: Yiping Zuo, Xiaodong Yao, Hui Zeng, Hongjin Zhang, Xinyue Chen, Wei WangAbstract:Abstract Temperature sensitivity of Soil extracellular enzyme activity (EEA), indicated by the temperature coefficient Q10, is used to predict the effect of temperature on Soil carbon (C), nitrogen (N), and phosphorus (P) cycling. At present, we lack understanding of elevation and Soil Depth variations in Q10 of EEA. Here, we measured the Q10 of three enzymes participating in C- (β-1,4-glucosidase, BG), N- (leucine aminopeptidase, LAP), and P- (acid phosphatase, AP) cycling along a vertical grassland belt of China. Soils from five Depths (0–10, 10–20, 20–40, 40–60, and 60–100 cm) were sampled from three elevations (low,
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effects of Soil Depth and plant Soil interaction on microbial community in temperate grasslands of northern china
Science of The Total Environment, 2018Co-Authors: Xiaodong Yao, Naili Zhang, Hui Zeng, Wei WangAbstract:Abstract Although the patterns and drivers of Soil microbial community composition are well studied, little is known about the effects of plant–Soil interactions and Soil Depth on Soil microbial distribution at a regional scale. We examined 195 Soil samples from 13 sites along a climatic transect in the temperate grasslands of northern China to measure the composition of and factors influencing Soil microbial communities within a 1-m Soil profile. Soil microbial community composition was measured using phospholipid fatty acids (PLFA) analysis. Fungi predominated in topSoil (0–10 cm) and bacteria and actinomycetes in deep Soils (40–100 cm), independent of steppe types. This variation was explained by contemporary environmental factors (including above- and below-ground plant biomass, Soil physicochemical and climatic factors) >58% in the 0–40 cm of Soil Depth, but
Jeffrey J Mcdonnell - One of the best experts on this subject based on the ideXlab platform.
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connectivity at the hillslope scale identifying interactions between storm size bedrock permeability slope angle and Soil Depth
Journal of Hydrology, 2009Co-Authors: Luisa Hopp, Jeffrey J McdonnellAbstract:The links between Soil water movement at the plot scale and runoff generation at the hillslope scale are highly non-linear and still not well understood. As such, a framework for the general characterization of hillslopes is still lacking. Here we present a number of virtual experiments with a 3D physically-based finite element model to systematically investigate the interactions between some of the dominant controls on subsurface stormflow generation. We used the well-studied Panola experimental hillslope to test our base case simulation and used the surface and subsurface topography and the stormflow data of this site as a framework for a subsequent series of virtual experiments. The parameterization of the Soil and bedrock properties was based on field measurements of Soil moisture and saturated hydraulic conductivity. After calibration and testing against multiple evaluation criteria including distributed trench flow data and internal tensiometric response, we varied slope angle, Soil Depth, storm size and bedrock permeability across multiple ranges to establish a set of response surfaces for several hillslope flow metrics. We found that connectivity of subsurface saturation was a unifying descriptor of hillslope behavior across the many combinations of slope type. While much of the interplay between our four hillslope variables was intuitive, several interactions in variable combinations were found. Our analysis indicated that, e.g. interactions between slope angle, Soil Depth and storm size that caused unexpected behavior of hydrograph peak times were the result of the interplay between subsurface topography and the overlying Soil mantle with its spatially varying Soil Depth distribution. Those interactions led to new understanding of process controls on connectivity .
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on the interrelations between topography Soil Depth Soil moisture transpiration rates and species distribution at the hillslope scale
Advances in Water Resources, 2006Co-Authors: H Trompvan J Meerveld, Jeffrey J McdonnellAbstract:Relations between the spatial patterns of Soil moisture, Soil Depth, and transpiration and their influence on the hillslope water balance are not well understood. When determining a water balance for a hillslope, small scale variations in Soil Depth are often ignored. In this study we found that these variations in Soil Depth can lead to distinct patterns in transpiration rates across a hillslope. We measured Soil moisture content at 0.05 and 0.10 m Depth intervals between the Soil surface and the Soil–bedrock boundary on 64 locations across the trenched hillslope in the Panola Mountain Research Watershed, Georgia, USA. We related these Soil moisture data to transpiration rates measured in 14 trees across the hillslope using 28 constant heat sapflow sensors. Results showed a lack of spatial structure in Soil moisture across the hillslope and with Depth when the hillslope was in either the wet or the dry state. However, during the short transition period between the wet and dry state, Soil moisture did become spatially organized with Depth and across the hillslope. Variations in Soil Depth and thus total Soil water stored in the Soil profile at the end of the wet season caused differences in Soil moisture content and transpiration rates between upslope and midslope sections at the end of the summer. In the upslope section, which has shallower Soils, transpiration became limited by Soil moisture while in the midslope section with deeper Soils, transpiration was not limited by Soil moisture. These spatial differences in Soil Depth, total water available at the end of the wet season and Soil moisture content during the summer appear responsible for the observed spatial differences in basal area and species distribution between the upslope and midslope sections of the hillslope.
Jeanluc Maeght - One of the best experts on this subject based on the ideXlab platform.
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burkholderia pseudomallei in a lowland rice paddy seasonal changes and influence of Soil Depth and physico chemical properties
Scientific Reports, 2017Co-Authors: L Manivanh, Jeanluc Maeght, Alain Pierret, Sayaphet Rattanavong, O Kounnavongsa, Yves Buisson, Ivo Elliott, K Xayyathip, Joy SilisoukAbstract:Melioidosis, a severe infection with the environmental bacterium Burkholderia pseudomallei, is being recognised increasingly frequently. What determines its uneven distribution within endemic areas is poorly understood. We cultured Soil from a rice field in Laos for B. pseudomallei at different Depths on 4 occasions over a 13-month period. We also measured physical and chemical parameters in order to identify associated characteristics. Overall, 195 of 653 samples (29.7%) yielded B. pseudomallei. A higher prevalence of B. pseudomallei was found at Soil Depths greater than the 30 cm currently recommended for B. pseudomallei environmental sampling. B. pseudomallei was associated with a high Soil water content and low total nitrogen, carbon and organic matter content. Our results suggested that a sampling grid of 25 five metre square quadrats (i.e. 25 × 25 m) should be sufficient to detect B. pseudomallei at a given location if samples are taken at a Soil Depth of at least 60 cm. However, culture of B. pseudomallei in environmental samples is difficult and liable to variation. Future studies should both rely on molecular approaches and address the micro-heterogeneity of Soil when investigating physico-chemical associations with the presence of B. pseudomallei.
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seasonal patterns of fine root production and turnover in a mature rubber tree hevea brasiliensis mull arg stand differentiation with Soil Depth and implications for Soil carbon stocks
Frontiers in Plant Science, 2015Co-Authors: Jeanluc Maeght, Santimaitree Gonkhamdee, Corentin Clement, Supat Isarangkool Na Ayutthaya, Alexia Stokes, Alain PierretAbstract:Fine root dynamics is a main driver of Soil carbon stocks, particularly in tropical forests, yet major uncertainties still surround estimates of fine root production and turnover. This lack of knowledge is largely due to the fact that studying root dynamics in situ, particularly deep in the Soil, remains highly challenging. We explored the interactions between fine root dynamics, Soil Depth and rainfall in mature rubber trees (Hevea brasiliensis Mull. Arg.) exposed to sub-optimal edaphic and climatic conditions. A root observation access well was installed in northern Thailand to monitor root dynamics along a 4.5 m deep Soil profile. Image-based measurements of root elongation and lifespan of individual roots were carried out at monthly intervals over 3 years. Soil Depth was found to have a significant effect on root turnover. Surprisingly, root turnover increased with Soil Depth and root half-life was 16, 6 - 8 and only 4 months at 0.5, 1.0, 2.5 and 3.0 m deep, respectively (with the exception of roots at 4.5 m which had a half-life similar to that found between Depths of 1.0 and 2.5 m). Within the first two meters of the Soil profile, the highest rates of root emergence occurred about three months after the onset of the rainy season, while deeper in the Soil, root emergence was not linked to the rainfall pattern. Root emergence was limited during leaf flushing (between March and May), particularly within the first two meters of the profile. Between Soil Depths of 0.5 and 2.0 m, root mortality appeared independent of variations in root emergence, but below 2.0 m, peaks in root emergence and death were synchronized. Shallow parts of the root were more responsive to rainfall than their deeper counterparts. Increased root emergence in deep Soil towards the onset of the dry season could correspond to a drought acclimation mechanism, with the relative importance of deep water capture increasing once rainfall ceased. The considerable Soil Depth regularly explored by fine roots, even though significantly less than in surface layers in terms of root length density and biomass, will impact strongly the evaluation of Soil carbon stocks
