Soil bacterial functional diversity is associated with the decline of Eucalyptus gomphocephala

Cai, Yiting; Barber, P.A.; Dell, B.; O’Brien, P.A.; Williams, N.; Bowen, Barbara J.; Hardy, G.

doi:10.1016/j.foreco.2010.06.029

Cited by 39 publications

(32 citation statements)

References 39 publications

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“…4 In recent years, a number of declines in eucalypt dominated ecosystems have been documented. [5][6][7][8] Similar to the findings in other areas, Eucalyptus gomphocephala (tuart) declines in southwestern Australia have been linked to a range of causes, including soil bacterial communities, 9 pathogens, 6 and fire frequency and intensity.…”

Section: Introductionsupporting

confidence: 61%

Enhancing a eucalypt crown condition indicator driven by high spatial and spectral resolution remote sensing imagery

Evans

Lyons

Barber

et al. 2012

J. Appl. Remote Sens

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Abstract. Individual crown condition of Eucalyptus gomphocephala was assessed using two classification models to understand changes in forest health through space and time. Using high resolution (0.5 m) digital multispectral imagery, predictor variables were derived from textural and spectral variance of all pixels inside the crown area. The results estimate crown condition as a surrogate for tree health against the total crown health index. Crown condition is derived from combining ground-based crown assessment techniques of density, transparency, dieback, and the regrowth of foliage. This object-based approach summarizes the pixel data into mean crown indices assigned to crown objects which became the carrier of information. Models performed above expectations, with a significant weighted Cohen's kappa (κ > 0.60 and p < 0.001) using 70% of available data. Using in situ data for model development, crown condition was predicted forwards (2010) and backwards (2007) in time, capturing trends in crown condition and identifying decline in the healthiest between 2008 and 2010. The results confirm that combining spectral and textural information increased model sensitivity to small variations in crown condition. The methodology provides a cost-effective means for monitoring crown condition of this or other eucalypt species in native and plantation forests.

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Section: Introductionsupporting

confidence: 61%

Enhancing a eucalypt crown condition indicator driven by high spatial and spectral resolution remote sensing imagery

Evans

Lyons

Barber

et al. 2012

J. Appl. Remote Sens

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“…Dynamic analysis can reflect the growth trend of microbes in 10 days by using average well color development (AWCD) each day ( timing to analyze. However, its timing should be used has controversy, some studies showed the time of 72h or 96h is the more reasonable time since fungi will spread after 96h inoculation [21]. Jia el at [22] claimed that 144h or 168h is better, because the OD 590nm value is still in fluctuation before that time.…”

Section: Optimization Of Data Analysismentioning

confidence: 99%

Application and Optimization of Biolog EcoPlates in Functional Diversity Studies of Soil Microbial Communities

Poudel

2015

MATEC Web of Conferences

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“…Owing to their value for ecosystem functional assessment, soil microbial indices have been used for monitoring soil quality [12]. Some research has shown that the distribution of soil microorganisms is closely associated with soil environmental conditions, soil physicochemical factors, plant communities, and other factors that all change during ecosystem development [13][14]. Soil microbes possess cell membranes composed mainly of phospholipids [15].…”

Section: Introductionmentioning

confidence: 99%

Soil Microbial Community Composition in Four Nothotsuga longibracteata Forests in Southern China

Shihong

Zhang

Wang

et al. 2018

Pol. J. Environ. Stud.

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Soil microbial communities play a vital role in soil carbon and carbon sequestration in forest ecosystems. In this study, soils were sampled in Tianbaoyan National Nature Reserve in southeastern China from four Nothotsuga longibracteata forests, including a pure N. longibracteata forest (NF), N. longibracteata + hardwood mixed forest (NHF), N. longibracteata + Rhododendron simiarum mixed forest (NRF), and N. longibracteata + Phyllostachys pubescens mixed forest (NPF). Our objective was to precisely quantify soil physicochemical properties, microbial biomass, microbial communities, and to evaluate their interrelationships. We used biochemical measurements, a fumigation-extraction method, and phospholipid fatty acid (PLFA) analysis method to show that -except for pH and soil bulk density (SBD) -soil physicochemical properties differed markedly among the forest types. Microbial biomass carbon (MBC) and nitrogen (MBN) were highest in NHF soils, while the ratio of microbial biomass carbon to nitrogen (MBC:MBN) was highest in NRF and NPF soils. Moreover, the microbial communities of the four forest types exhibited distinct profiles: the highest total PLFA content and content of Grampositive bacteria (Gram(+)), Gram-negative bacteria(Gram(-)), and fungi were found in NRF. Additionally, NHF soil exhibited the highest actinomycetes content, while the highest protozoal content was found in NF soil. The analysis of individual PLFAs using principal component analysis (PCA) demonstrated a clear association of distinct soil PFLA characteristics for each forest type. In conclusion, the soil microbial community structure can be significantly influenced by changes in soil organic carbon (SOC) and MBN. Comparing soil microbial properties in different N. longibracteata forests can help us understand the influence of forest types on the structure of microbiota within a system.

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Soil bacterial functional diversity is associated with the decline of Eucalyptus gomphocephala

Cited by 39 publications

References 39 publications

Enhancing a eucalypt crown condition indicator driven by high spatial and spectral resolution remote sensing imagery

Enhancing a eucalypt crown condition indicator driven by high spatial and spectral resolution remote sensing imagery

Application and Optimization of Biolog EcoPlates in Functional Diversity Studies of Soil Microbial Communities

Soil Microbial Community Composition in Four Nothotsuga longibracteata Forests in Southern China

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