Structure of soil microbial communities in sugi plantations and seminatural broad-leaved forests with different land-use historyThis article is one of a selection of papers published in the Special Forum on Towards Sustainable Forestry — The Living Soil: Soil Biodiversity and Ecosystem Function.

2007 ◽  
Vol 37 (2) ◽  
pp. 236-246 ◽  
Author(s):  
Miho Matsushita ◽  
Satoshi Ito ◽  
Sadatoshi Meguro ◽  
Shinsaku Kawachi
Keyword(s):  
Land Use ◽  
Community Structure ◽  
Fatty Acid ◽  
Microbial Community ◽  
Microbial Community Structure ◽  
Phospholipid Fatty Acid ◽  
Chemical Characteristics ◽  
Land Use History ◽  
Soil Microbial Community Structure ◽  
Soil Microbial

Phospholipid fatty acid profiles were used to evaluate microbial community composition in different soil layers of sugi ( Cryptomeria japonica (L.f.) D. Don) plantations and seminatural secondary forests in southeastern Kyushu, Japan. These forests had previously been utilized as meadows or coppices. Principal components analysis and canonical correspondence analysis of the phospholipid fatty acid data demonstrated differences in microbial community structure between current vegetation (sugi plantations or seminatural forests) in the FH layer. In contrast, differences between the previous land-use types (meadows or coppices) were detected through variation in the soil microbial community structure in the upper part of the A layer (0–5 cm). However, in the deeper part of the A layer (5–10 cm), the influence of the previous land-use history on soil microbial community structure was weak and the influence of the current vegetation could be detected. In the 0–5 cm part of the A layer, the organic matter was correlated with the microbial community structure. However, it cannot be assumed that these soil chemical characteristics were the principal factors responsible for separation of the microbial communities based on previous land-use history because the difference in chemical characteristics between the sites was small.

scholarly journals Soil Microbial Community Structure and Target Organisms under Different Fumigation Treatments

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Sadikshya R. Dangi ◽  
James S. Gerik ◽  
Rebecca Tirado-Corbalá ◽  
Husein Ajwa
Keyword(s):  
Community Structure ◽  
Microbial Community ◽  
Microbial Community Structure ◽  
Methyl Bromide ◽  
Soil Microorganisms ◽  
Phospholipid Fatty Acid ◽  
Natural Soil ◽  
Soil Microbial Community Structure ◽  
Soil Microbial ◽  
Field Samples

Producers of several high-value crops in California rely heavily on soil fumigants to control key diseases, nematodes, and weeds. Fumigants with broad biocidal activity can affect both target and nontarget soil microorganisms. The ability of nontarget soil microorganisms to recover after fumigation treatment is critical because they play an important role in sustaining the health of agricultural and natural soil systems. Fumigation trial was conducted in Parlier, CA, and the study focuses on the effects of different rates of Telone C35 and also methyl bromide fumigation with polyethylene (PE) and totally impermeable film (TIF) tarps on target and nontarget soil microorganisms using field samples. Results indicated that the populations of target organisms, such asFusarium oxysporumandPythiumspp., were reduced at all rates of fumigants. Phospholipid fatty acid (PLFA) analysis indicated that all major nontarget soil microbial groups such as Gram positive bacteria, Gram negative bacteria, fungi, and arbuscular mycorrhizal fungi (AMF) were affected by methyl bromide (MeBr) fumigation treatment. In general, the effects of Telone C35 (299 L/ha) under PE tarp had the least impact on microbial community structure and better effect on controlling target microorganisms and, therefore, indicated the better option among fumigation treatments.

Soil Microbial Community Structure in Tree Peony (Paeonia suffruticosa) Garden Based on PLFA Analysis

2014 ◽  
Vol 675-677 ◽  
pp. 82-85
Author(s):  
Dong Xue ◽  
Xiang Dong Huang ◽  
Lian Xue
Keyword(s):  
Community Structure ◽  
Microbial Community ◽  
Microbial Community Structure ◽  
Soil Microbial Community ◽  
Phospholipid Fatty Acid ◽  
Shannon Index ◽  
Tree Peony ◽  
Soil Microbial Community Structure ◽  
Soil Microbial ◽  
Chronological Change

Understanding the chronological change in soil microbial community structure of tree peony garden ecosystem is important from ecological, environmental, and management perspectives. Soil samples were collected from three tree peony garden systems (5-, 12-, and 25-year-old tree peony gardens), and adjacent wasteland at Luoyang, Henan Province of China. Soil microbial community structure was analyzed by phospholipid fatty acid (PLFA) method. The bacterial and actinomycete PLFAs increased from the wasteland to 5-year-old tree peony garden and then decreased from the 5- to 25-year-old tree peony garden, and the fungal PLFA first increased and then decreased with the increasing planting years, with the greatest amount found in the 12-year-old tree peony garden. The conversion from the wasteland to tree peony garden resulted in a significant increase in Shannon index, Richness, and Evenness. However, with the succeeding development of tree peony garden ecosystems, Shannon index, Richness, and Evenness decreased from the 5- to 25-year-old tree peony garden.

scholarly journals Study on the Rhizosphere Soil Microbial Community Structure Associated with Five Land Use Types in Jinchuan Mining Area

2021 ◽  
Vol 237 ◽  
pp. 01010
Author(s):  
Tian-Peng Gao ◽  
Jing-Wen Fu ◽  
Ming-Bo Zuo ◽  
Yu-Bing Liu ◽  
Dang-Hui Xu ◽  
...  
Keyword(s):  
Land Use ◽  
Community Structure ◽  
Microbial Community ◽  
Microbial Community Structure ◽  
Soil Microbial Community ◽  
Mining Area ◽  
Soil Microbial Community Structure ◽  
Soil Microbial ◽  
Land Use Types ◽  
Tailing Dam

Five different land use types (desert, farmland, mining park, slag heap and tailing dam) were selected as variables around the Jinchuan Cu-Ni mining area in Jinchang, Gansu Province in the present study. The Atriplex canescens (Pursh) Nutt.’s rhizosphere bacterial abundance, diversity and community composition were examined taking advantage of High-throughput sequencing technology to discuss the effect of soil physicochemical properties on soil microbial community structure. The result indicated that the phylum Proteobacteria and Firmicutes was the most dominant taxon in desert, farmland and mining park, with a high abundance more than 30%. The phylum Proteobacteria was the most dominant taxon in slag heap and tailing dam, with a high abundance more than 40%. The tailing dam had the highest bacterial Chao indexes and the farmland had the highest bacterial Observed species indexes, Shannon indexes and Simpson indexes. Observed species indexes and Shannon indexes between the five sites were significantly different. The redundancy analysis and principal component analysis showed that the main environmental factors caused the different of rhizosphere bacterial community structure in five land use types were Mg, Ca, Cu, TN and moisture, followed by Ni, Cr, K, Pb, Zn content and pH. Hence, the result indicates that land use and soil environmental factors had significant impact on the diversity of soil microbial community structure.

scholarly journals Small-Scale Variability in the Soil Microbial Community Structure in a Semideveloped Farm in Zambia

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Toru Hamamoto ◽  
Meki Chirwa ◽  
Imasiku Nyambe ◽  
Yoshitaka Uchida
Keyword(s):  
Land Use ◽  
Community Structure ◽  
Microbial Community ◽  
Microbial Community Structure ◽  
Soil Microbial Community ◽  
Sub Saharan Africa ◽  
Small Scale ◽  
Soil Microbial Community Structure ◽  
Soil Microbial ◽  
Sub Saharan

The conversion of natural lands into agricultural lands can lead to changes in the soil microbial community structure which, in turn, can affect soil functions. However, few studies have examined the effect of land use changes on the soil microbial community structure in sub-Saharan Africa. Therefore, the aim of this research was to investigate the relationships among soil characteristics and microbial communities in natural and agricultural ecosystems in a semideveloped lowland farm in the central region of Zambia, within which small-scale wetlands had been partly developed as watermelon (Citrullus lanatus) and/or maize (Zea mays) farms. We sampled soils from four different land use types within this farm: “native forest,” “grassland,” “watermelon farm,” and “maize farm.” We found that the land use type had a significant effect on the soil bacterial community structure at the class level, with the class Bacilli having significantly higher relative abundances in the forest sites and Gammaproteobacteria having significantly higher relative abundances in the maize sites than in the other land use types. These findings indicate that these bacterial classes may be sensitive to changes in soil ecosystems, and so further studies are required to investigate microbial indicators for the sustainable development of wetlands in sub-Saharan Africa.

Variation in soil microbial communities across a boreal spruce forest landscape

2008 ◽  
Vol 38 (6) ◽  
pp. 1504-1516 ◽  
Author(s):  
Lisbet Holm Bach ◽  
Åsa Frostegård ◽  
Mikael Ohlson
Keyword(s):  
Community Structure ◽  
Microbial Community ◽  
Microbial Community Structure ◽  
Environmental Variables ◽  
Phospholipid Fatty Acid ◽  
Soil Microbial Communities ◽  
Forest Landscape ◽  
Spruce Forest ◽  
Soil Microbial Community Structure ◽  
Soil Microbial

We investigated soil microbial community structure by phospholipid fatty acid (PLFA) analysis in a mature boreal spruce forest landscape in southern Norway, with low diversity of vascular plants. We investigated the spatial variation in PLFAs and the importance of environmental variables in 10 plots (each 13 samples) in a study area of 1 km × 1 km. The scales investigated were 15 cm to 10 m within study plots and 100 m to 1 km between study plots. Soil microbial biomass varied 10-fold and we found a large variation in microbial community structure, even at distances of 15 cm. Samples aggregated into plots when PLFAs were subjected to a principal components analysis. Plot identity explained 36.3% of the variation in the PLFAs and geostatistical analysis showed that the microbial community structure displayed spatial dependence at within-plot distances. Environmental variables differed significantly between all plots but explained only minor parts of the variation in the overall PLFA pattern. The vegetation variables were, however, the best at explaining the PLFA pattern, and up to 60% of within-plot variation in individual plots, respectively, could be explained by vegetation variables, pH, and soil depth.

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