The Impact of Mycorrhizosphere Bacterial Communities on Soil Biofunctioning in Tropical and Mediterranean Forest Ecosystems

Duponnois, Robin; Baudoin, Ezékiel; Thioulouse, Jean; Hafidi, Mohamed; Galiana, Antoine; Lebrun, Michel; Prin, Yves

doi:10.1007/978-3-642-27515-9_5

Cited by 3 publications

(2 citation statements)

References 71 publications

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“…This is attributable to smaller size class trees (with lower relative respiratory costs) constituting a greater proportion of the total stand biomass on higher nutrient status soils. One factor relating to soil nutrient availability but not included in the current version is an implicit consideration of the respiratory costs of plant nutrient uptake (Lambers et al, 2008) either directly, or through other processes such as organic acid exudation (Jones et al, 2009) or the symbiotic associations (Duponnois et al, 2012). One would expect these costs to be proportionally higher for a stand of low nutrient status, especially with regard to P .…”

Section: Scientific Outcomesmentioning

confidence: 99%

Analysing Amazonian forest productivity using a new individual and trait-based model (TFS v.1)

Fyllas¹,

Gloor²,

Mercado³

et al. 2014

Preprint

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Repeated long-term censuses have revealed largescale spatial patterns in Amazon basin forest structure and dynamism, with some forests in the west of the basin having up to a twice as high rate of aboveground biomass production and tree recruitment as forests in the east. Possible causes for this variation could be the climatic and edaphic gradients across the basin and/or the spatial distribution of tree species composition. To help understand causes of this variation a new individual-based model of tropical forest growth, designed to take full advantage of the forest census data available from the Amazonian Forest Inventory Network (RAIN-FOR), has been developed. The model allows for withinstand variations in tree size distribution and key functional traits and between-stand differences in climate and soil physical and chemical properties. It runs at the stand level with four functional traits -leaf dry mass per area (M a ), leaf nitrogen (N L ) and phosphorus (P L ) content and wood density (D W ) varying from tree to tree -in a way that replicates the observed continua found within each stand. We first applied the model to validate canopy-level water fluxes at three eddy covariance flux measurement sites. For all three sites the canopy-level water fluxes were adequately simulated. We then applied the model at seven plots, where intensive measurements of carbon allocation are available. Treeby-tree multi-annual growth rates generally agreed well with observations for small trees, but with deviations identified for larger trees. At the stand level, simulations at 40 plots were used to explore the influence of climate and soil nutrient availability on the gross ( G ) and net ( N ) primary production rates as well as the carbon use efficiency (C U ). Simulated G , N and C U were not associated with temperature. On the other hand, all three measures of stand level Published by Copernicus Publications on behalf of the European Geosciences Union.Geosci. Model Dev., 7, 1251-1269, 2014 www.geosci-model-dev.net/7/1251/2014/

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Section: Scientific Outcomesmentioning

confidence: 99%

Analysing Amazonian forest productivity using a new individual and trait-based model (TFS v.1)

Fyllas¹,

Gloor²,

Mercado³

et al. 2014

Preprint

View full text Add to dashboard Cite

show abstract

Section: Scientific Outcomesmentioning

confidence: 99%

Analysing Amazonian forest productivity using a new individual and trait-based model (TFS v.1)

et al. 2014

View full text Add to dashboard Cite

Abstract. Repeated long-term censuses have revealed large-scale spatial patterns in Amazon basin forest structure and dynamism, with some forests in the west of the basin having up to a twice as high rate of aboveground biomass production and tree recruitment as forests in the east. Possible causes for this variation could be the climatic and edaphic gradients across the basin and/or the spatial distribution of tree species composition. To help understand causes of this variation a new individual-based model of tropical forest growth, designed to take full advantage of the forest census data available from the Amazonian Forest Inventory Network (RAINFOR), has been developed. The model allows for within-stand variations in tree size distribution and key functional traits and between-stand differences in climate and soil physical and chemical properties. It runs at the stand level with four functional traits – leaf dry mass per area (Ma), leaf nitrogen (NL) and phosphorus (PL) content and wood density (DW) varying from tree to tree – in a way that replicates the observed continua found within each stand. We first applied the model to validate canopy-level water fluxes at three eddy covariance flux measurement sites. For all three sites the canopy-level water fluxes were adequately simulated. We then applied the model at seven plots, where intensive measurements of carbon allocation are available. Tree-by-tree multi-annual growth rates generally agreed well with observations for small trees, but with deviations identified for larger trees. At the stand level, simulations at 40 plots were used to explore the influence of climate and soil nutrient availability on the gross (ΠG) and net (ΠN) primary production rates as well as the carbon use efficiency (CU). Simulated ΠG, ΠN and CU were not associated with temperature. On the other hand, all three measures of stand level productivity were positively related to both mean annual precipitation and soil nutrient status. Sensitivity studies showed a clear importance of an accurate parameterisation of within- and between-stand trait variability on the fidelity of model predictions. For example, when functional tree diversity was not included in the model (i.e. with just a single plant functional type with mean basin-wide trait values) the predictive ability of the model was reduced. This was also the case when basin-wide (as opposed to site-specific) trait distributions were applied within each stand. We conclude that models of tropical forest carbon, energy and water cycling should strive to accurately represent observed variations in functionally important traits across the range of relevant scales.

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Soil Microflora – An Extensive Research

Imadi

Babar

Hasan

et al. 2016

Soil Science: Agricultural and Environmental Prospectives

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The Impact of Mycorrhizosphere Bacterial Communities on Soil Biofunctioning in Tropical and Mediterranean Forest Ecosystems

Cited by 3 publications

References 71 publications

Analysing Amazonian forest productivity using a new individual and trait-based model (TFS v.1)

Analysing Amazonian forest productivity using a new individual and trait-based model (TFS v.1)

Analysing Amazonian forest productivity using a new individual and trait-based model (TFS v.1)

Soil Microflora – An Extensive Research

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