The influence of litter quality on the relationship between vegetation and below-ground compartments: a Procrustean approach

Lisboa, Francy Junio Gonçalves; Chaer, Guilherme Montandon; Jesus, Ederson da Conceição; Faria, Sérgio Miana de; Gonçalves, Fernando Silvano; Santos, Felipe Martini; Castilho, Alexandre; Berbara, Ricardo Luís Louro

doi:10.1007/s11104-012-1491-1

Cited by 6 publications

(11 citation statements)

References 41 publications

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“…This suggests that the areas contained in this group require more time for the recovery of chemical attributes in the deeper layers, and were therefore more similar to the sugarcane area (CN). Soil tilling can interfere directly with the physical, chemical and microbiological processes of this complex (GODOY et al, 2013;STEFANOSKI et al, 2016), reducing the maintenance of microbiota and affecting the uptake of nutrients by plants (LISBOA et al, 2013;CHEN et al, 2014).…”

Section: Results End Discussionmentioning

confidence: 99%

Chemical and Microbiological Attributes Under Different Soil Cover

Novak

Carvalho

Santiago

et al. 2017

CERNE

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ABSTRACT:A challenge for the environmental recovery of degraded areas is the search for soil data. In this process, the microbiological parameters and soil chemicals are potential indicators of soil quality. This study aimed to evaluate soil quality based on microbiological and chemical soil attributes in different areas involving environmental recovery, sugarcane cultivation and remnants of native vegetation located in a rural private property farm in State of Mato Grosso do Sul, Brazil, in Hapludox Eutrophic soil. The microbiological (microbial biomass carbon, basal respiration, microbial quotient and metabolic quotient) and chemical parameters (organic matter, carbon, pH, cationic exchange capacity, sum of bases, potassium, phosphorus, magnesium, calcium, saturation base and potential acidity) were assessed. Data were assessed by variance and multivariate analysis (Principal Component Analysis and cluster analysis). Overall, the results showed highest alteration in the chemical and microbiological characteristics of the soil in sugarcane cultivation area in comparison with other areas. Considering the studied recovery areas, REC1, REC5 and REC7 show chemical and microbiological conditions with most similarity to native vegetation. Despite the short period of the resilience enhancement of environmental recovery areas, the development of vegetation cover and establishment of the microbial community were determined to be important factors for improving soil quality and environmental recovery in several of the areas studied. ATRIBUTOS QUÍMICOS E MICROBIOLÓGICOS SOB DIFERENTES COBERTURAS DE SOLORESUMO: Um desafio para a recuperação ambiental de áreas degradadas é a busca de dados de solo. Neste processo, os parâmetros microbiológicos e química do solo são potenciais indicadores de qualidade do solo. Este estudo objetivou avaliar a qualidade do solo com base em atributos microbiológicos e químicos do solo em diferentes áreas, em recuperação ambiental, cultivo de cana e remanescentes de vegetação nativa, localizada em uma fazenda de propriedade privada rural no estado de Mato Grosso do Sul, Brasil, em solo Háplico Eutrófico. Os parâmetros microbiológicos (carbono da biomassa microbiana, respiração basal, quociente microbiano e quociente metabólico) e químicos (matéria orgânica, carbono, pH, capacidade de troca de cátions, soma de bases, potássio, fósforo, magnésio, cálcio, saturação por bases e acidez potencial) foram acessados. Dados foram avaliados por meio de análises de variância e multivariada (análise de agrupamentos e Análise de Componentes Principais). Em geral, os resultados mostraram maior alteração das características químicas e microbiológicas do solo na área de cultivo de cana em comparação com outras áreas. Considerando as áreas em recuperação estudadas, REC1, REC5 e REC7 mostram condições químicas e microbiológicas com maior semelhança com a vegetação nativa. Apesar do curto período do realce de resiliência das áreas de recuperação ambiental, o desenvolvimento da cobertura vegetal e o estabelecimento ...

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Section: Results End Discussionmentioning

confidence: 99%

Chemical and Microbiological Attributes Under Different Soil Cover

Novak

Carvalho

Santiago

et al. 2017

CERNE

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“…To ensure equal dimensionality of data matrices, Procrustes analyses were applied on the first six principal component (PC) axes of Hellinger‐transformed matrices containing plant and fungal abundances, which captured > 50% of the community variation, following the approach of Lisboa et al . (). In the partial analysis, each axis was used as the response variable in a multiple regression model containing all soil variables as explanatory variables.…”

Section: Methodsmentioning

confidence: 97%

“…In the second step, partial PROTEST (Peres-Neto & Jackson, 2001; using the functions PROCRUSTES and PROTEST from R package VEGAN) was performed to measure correlation between plant and AM fungal communities while controlling for the effect of variation in soil conditions. To ensure equal dimensionality of data matrices, Procrustes analyses were applied on the first six principal component (PC) axes of Hellinger-transformed matrices containing plant and fungal abundances, which captured > 50% of the community variation, following the approach of Lisboa et al (2013). In the partial analysis, each axis was used as the response variable in a multiple regression model containing all soil variables as explanatory variables.…”

Section: Statistical Analysesmentioning

confidence: 99%

The role of plant mycorrhizal type and status in modulating the relationship between plant and arbuscular mycorrhizal fungal communities

et al. 2018

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Interactions between communities of plants and arbuscular mycorrhizal (AM) fungi shape fundamental ecosystem properties. Experimental evidence suggests that compositional changes in plant and AM fungal communities should be correlated, but empirical data from natural ecosystems are scarce. We investigated the dynamics of covariation between plant and AM fungal communities during three stages of grassland succession, and the biotic and abiotic factors shaping these dynamics. Plant communities were characterised using vegetation surveys. AM fungal communities were characterised by 454-sequencing of the small subunit rRNA gene and identification against the AM fungal reference database MaarjAM. AM fungal abundance was estimated using neutral-lipid fatty acids (NLFAs). Multivariate correlation analysis (Procrustes) revealed a significant relationship between plant and AM fungal community composition. The strength of plant-AM fungal correlation weakened during succession following cessation of grassland management, reflecting changes in the proportion of plants exhibiting different AM status. Plant-AM fungal correlation was strong when the abundance of obligate AM plants was high, and declined as the proportion of facultative AM plants increased. We conclude that the extent to which plants rely on AM symbiosis can determine how tightly communities of plants and AM fungi are interlinked, regulating community assembly of both symbiotic partners.

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“…However, these results suggest that plant communities and soil chemistry are acting differently on the soil microbial community structure [24], [40]. They also suggest that the effects of soil chemical properties on the microbial communities may be weakly mediated by above ground alterations [24]. This example shows the usefulness of Procrustes analysis to raise additional evidence in plant and soil ecology studies.…”

Section: The Use Of Pam In Ecological Ordinationmentioning

confidence: 88%

Much beyond Mantel: Bringing Procrustes Association Metric to the Plant and Soil Ecologist’s Toolbox

et al. 2014

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The correlation of multivariate data is a common task in investigations of soil biology and in ecology in general. Procrustes analysis and the Mantel test are two approaches that often meet this objective and are considered analogous in many situations especially when used as a statistical test to assess the statistical significance between multivariate data tables. Here we call the attention of ecologists to the advantages of a less familiar application of the Procrustean framework, namely the Procrustean association metric (a vector of Procrustean residuals). These residuals represent differences in fit between multivariate data tables regarding homologous observations (e.g., sampling sites) that can be used to estimate local levels of association (e.g., some groups of sites are more similar in their association between biotic and environmental features than other groups of sites). Given that in the Mantel framework, multivariate information is translated into a pairwise distance matrix, we lose the ability to contrast homologous data points across dimensions and data matrices after their fit. In this paper, we attempt to familiarize ecologists with the benefits of using these Procrustean residual differences to further gain insights about the processes underlying the association among multivariate data tables using real and hypothetical examples.

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The influence of litter quality on the relationship between vegetation and below-ground compartments: a Procrustean approach

Cited by 6 publications

References 41 publications

Chemical and Microbiological Attributes Under Different Soil Cover

Chemical and Microbiological Attributes Under Different Soil Cover

The role of plant mycorrhizal type and status in modulating the relationship between plant and arbuscular mycorrhizal fungal communities

Much beyond Mantel: Bringing Procrustes Association Metric to the Plant and Soil Ecologist’s Toolbox

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