Variation in soil C and microbial functions across tree canopy projection and open grassland microenvironments

Lai, Roberto; Lagomarsino, Alessandra; Ledda, Luigi; Roggero, Pier Paolo

doi:10.3906/tar-1303-82

Cited by 24 publications

(11 citation statements)

References 46 publications

(46 reference statements)

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“…Thus these results indicate that sample origin in iCLF is not able to discriminate from other land use types in terms of SOM, and also that the introduction of exotic tree species in the pasture has still not been able to generate contrasts in SOM within the iCLF. It corroborates results from Lai et al (2014) who found little organic carbon variation in response to introduction of tree species into pastures. In contrast to organic matter, our results showed that the land use types were separated in all of the PERMANOVA contexts (all samples, canopy, outside) by moisture content, bulk density, and exchangeable base cations (Ca 2þ þ, Mg 2þ , K þ ), which suggests that the main difference of land use are associated with changes in these soil variables (Drenovsky et al, 2004;Berthrong et al, 2009).…”

Section: Sample Origin Within the Iclf System Affects Microbial-basedsupporting

confidence: 89%

The match between microbial community structure and soil properties is modulated by land use types and sample origin within an integrated agroecosystem

Lisboa

Chaer

Fernandes

et al. 2014

Soil Biology and Biochemistry

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It is of global concern to adopt measures to mitigate land degradation caused by agricultural production systems. One of the strategies proposed is to replace degraded pastures with agrosilvopastoral systems which integrate three different land-use types: crop production, livestock pasture and forestry plantation (denoted iCLF). However, little is known about the differences between iCLF and other land use types in terms of soil microbial community structure. Distance matrices based on individual soil chemical properties and individual soil microbial variables were correlated by Procrustes analysis and these relationships yielded vectors of residuals depicting these correlations (matches). These vectors were used as univariate response variables in an ANOVA framework in order to investigate how the match sizes (the strength of correlation/covariance) between individual soil chemical properties and individual soil microbial variables vary across land use types (levels: iCLF; degradated pasture; improved pasture; and a native cerrado fragment) and also across sample origin within iCLF (levels: soil samples under more influence of the exotic tree forest stand; soil samples under influence of the pasture; samples within the transition between the forest stand and the pasture). We were able to obtain insights into the fact that the land use distinction can be driven by more than just individual soil chemical and microbial variables. The integration of crop, livestock and forestry promoted a dominance of fungi in this low fertility and low pH environment. P availability and the composite variable exchangeable base cations (Ca þ2 , Mg þ2 , K þ) were the soil properties whose strengths of correlation (match sizes) with individual microbial variables were the most affected by land use type and sampling origin within iCLF. While the strength of the correlation between soil microbial structure variables and P availability was typically land use type dependent, the response of the microbial structure to exchangeable base cations was mainly affected by the sample origin within iCLF. Finally our results point towards the conclusion that increases in the heterogeneity of vegetation within integrated crop, pasture and forestry systems are an important driver of microbial community response to environmental changes, and may be one means by which to increase the sustainability of tropical agroecosystems.

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Section: Sample Origin Within the Iclf System Affects Microbial-basedsupporting

confidence: 89%

The match between microbial community structure and soil properties is modulated by land use types and sample origin within an integrated agroecosystem

Lisboa

Chaer

Fernandes

et al. 2014

Soil Biology and Biochemistry

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“…The abundances of Acidobacteria, Betaproteobacteria, Deltaproteobacteria, Firmicutes, Gemmatimonadetes, Chloroflexi, Planctomycetes, Bacteroidetes and Verrucomicrobia differed significantly at this site and these taxa have been shown to respond to a range of environmental conditions and/or land use practices (Buckley et al, 2006;Wessen et al, 2010;Griffiths et al, 2011;Bagella et al, 2014;Lai et al, 2014). Although Crenarchaea are known to respond to various soil parameters, the difference in soil C:N ratio was thought to explain their increased abundance in grassland soil compared to woodland soil as crenarchaeal abundances are negatively correlated with soil C:N ratio (Barns et al, 1999;Kemnitz et al, 2007;Lehtovirta et al, 2009;Tripathi et al, 2013).…”

Section: Bacteriamentioning

confidence: 98%

Soil conditions and land use intensification effects on soil microbial communities across a range of European field sites

Thomson

Tisserant

Plassart

et al. 2015

Soil Biology and Biochemistry

144

103

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“…Under Mediterranean climatic conditions, it is possible to observe wide SR temporal variations due to the dynamics of both soil temperature (Soil T) and soil water content (SWC) (Rey et al., ). Consistently, from winter to early spring, soil T was observed to act as the main driver of SR, while during summer SWC mostly controls this process (Almagro, López, Querejeta, & Martínez‐Mena, ; de Dato, De Angelis, Sirca, & Beier, ; Lai, Lagomarsino, Ledda, & Roggero, ; Oyonarte, Rey, Raimundo, Miralles, & Escribano, ). Although in humid periods SR variability can be explained by an exponential relationship between Soil T and SR (Davidson, Belk, & Boone, ), under drought conditions SWC turns into the most important factor affecting SR dynamics (Almagro et al., ; Correia et al., ; Oyonarte et al., ).…”

Section: Introductionmentioning

confidence: 95%

Modelling pasture production and soil temperature, water and carbon fluxes in Mediterranean grassland systems with the Pasture Simulation model

Pulina

Lai

Salis

et al. 2017

Grass and Forage Science

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Grasslands play important roles in agricultural production and provide a range of ecosystem services. Modelling can be a valuable adjunct to experimental research in order to improve the knowledge and assess the impact of management practices in grassland systems. In this study, the PaSim model was assessed for its ability to simulate plant biomass production, soil temperature, water content, and total and heterotrophic soil respiration in Mediterranean grasslands. The study site was the extensively managed sheep grazing system at the Berchidda‐Monti Observatory (Sardinia, Italy), from which two data sets were derived for model calibration and validation respectively. A new model parameterization was derived for Mediterranean conditions from a set of eco‐physiological parameters. With the exception of heterotrophic respiration (Rh), for which modelling efficiency (EF) values were negative, the model outputs were in agreement with observations (e.g., EF ranging from ~0.2 for total soil respiration to ~0.7 for soil temperature). These results support the effectiveness of PaSim to simulate C cycle components in Mediterranean grasslands. The study also highlights the need of further model development to provide better representation of the seasonal dynamics of Mediterranean annual species‐rich grasslands and associated peculiar Rh features, for which the modelling is only implicitly being undertaken by the current PaSim release.

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Variation in soil C and microbial functions across tree canopy projection and open grassland microenvironments

Cited by 24 publications

References 46 publications

The match between microbial community structure and soil properties is modulated by land use types and sample origin within an integrated agroecosystem

The match between microbial community structure and soil properties is modulated by land use types and sample origin within an integrated agroecosystem

Soil conditions and land use intensification effects on soil microbial communities across a range of European field sites

Modelling pasture production and soil temperature, water and carbon fluxes in Mediterranean grassland systems with the Pasture Simulation model

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