Spatial variability of soil microbial functioning in a tropical rainforest of French Guiana using nested sampling

Fromin, Nathalie; Saby, Nicolas P.A.; Lensi, R.; Brunet, Didier; Porte, Benjamin; Domenach, Anne-Marie; Roggy, Jean-Christophe

doi:10.1016/j.geoderma.2012.12.009

Cited by 10 publications

(6 citation statements)

References 71 publications

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“…Interspecific spatial variation in leaf litter C:N ratios has been shown to drive variability in soil C:N ratios in tropical forests (Uriarte et al 2015), as well as C mineralization and inorganic N availability beneath individual canopies (Keller et al 2013). In French Guiana, Fromin et al (2013) found that denitrification enzyme activity varied most strongly at small (1 m) spatial scales along with soil C and N, interpreted as reflecting localized differences in litter input chemistry. Soil microbial communities are also structured by tree species identity, with Barber an et al (2015) observing spatial correlations between plant and microbial community composition independent of abiotic conditions at scales of 2-20 m in a Panamanian tropical rainforest.…”

Section: Introductionmentioning

confidence: 97%

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Remotely sensed canopy nitrogen correlates with nitrous oxide emissions in a lowland tropical rainforest

Soper

Sullivan

Nasto

et al. 2018

Ecology

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Tropical forests exhibit significant heterogeneity in plant functional and chemical traits that may contribute to spatial patterns of key soil biogeochemical processes, such as carbon storage and greenhouse gas emissions. Although tropical forests are the largest ecosystem source of nitrous oxide (N O), drivers of spatial patterns within forests are poorly resolved. Here, we show that local variation in canopy foliar N, mapped by remote-sensing image spectroscopy, correlates with patterns of soil N O emission from a lowland tropical rainforest. We identified ten 0.25 ha plots (assemblages of 40-70 individual trees) in which average remotely-sensed canopy N fell above or below the regional mean. The plots were located on a single minimally-dissected terrace (<1 km ) where soil type, vegetation structure and climatic conditions were relatively constant. We measured N O fluxes monthly for 1 yr and found that high canopy N species assemblages had on average three-fold higher total mean N O fluxes than nearby lower canopy N areas. These differences are consistent with strong differences in litter stoichiometry, nitrification rates and soil nitrate concentrations. Canopy N status was also associated with microbial community characteristics: lower canopy N plots had two-fold greater soil fungal to bacterial ratios and a significantly lower abundance of ammonia-oxidizing archaea, although genes associated with denitrification (nirS, nirK, nosZ) showed no relationship with N O flux. Overall, landscape emissions from this ecosystem are at the lowest end of the spectrum reported for tropical forests, consist with multiple metrics indicating that these highly productive forests retain N tightly and have low plant-available losses. These data point to connections between canopy and soil processes that have largely been overlooked as a driver of denitrification. Defining relationships between remotely-sensed plant traits and soil processes offers the chance to map these processes at large scales, potentially increasing our ability to predict N O emissions in heterogeneous landscapes.

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Section: Introductionmentioning

confidence: 97%

“…In French Guiana, Fromin et al. () found that denitrification enzyme activity varied most strongly at small (1 m) spatial scales along with soil C and N, interpreted as reflecting localized differences in litter input chemistry. Soil microbial communities are also structured by tree species identity, with Barberán et al.…”

Section: Introductionmentioning

confidence: 99%

Remotely sensed canopy nitrogen correlates with nitrous oxide emissions in a lowland tropical rainforest

Soper

Sullivan

Nasto

et al. 2018

Ecology

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“…Many studies have discussed the drivers of soil heterogeneity, biological characteristics and microbial community distribution in spatial variability of enzyme activity (Franklin & Mills, 2009;Fromin et al, 2013;Kivlin & Hawkes, 2020;Kuzyakov & Blagodatskaya, 2015;Shi et al, 2021). Soil is a largely heterogeneous and complex system that creates complex and diverse habitats for micro-organisms (Fierer, 2017;Kuzyakov & Blagodatskaya, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…Soil is a largely heterogeneous and complex system that creates complex and diverse habitats for micro-organisms (Fierer, 2017;Kuzyakov & Blagodatskaya, 2015). Soil heterogeneity is considered the basis for the emergence and maintenance of microbial diversity (Nunan et al, 2020), because it is induced by the arrangement of organic matter, water and gas, which creates the heterogeneity of microbial community distribution and activity (Franklin & Mills, 2009;Fromin et al, 2013). This has not been fully incorporated into our understanding of microbial functioning (Nunan et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Grazing and nitrogen addition restructure the spatial heterogeneity of soil microbial community structure and enzymatic activities

Chen

Vilonen

et al. 2021

Functional Ecology

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“…[ 5 – 7 ]). The influence of environmental properties may also be a function of scale [ 8 ], and may change over time as ambient conditions, particularly soil water content, change (e.g. [ 9 – 10 ]).…”

Section: Introductionmentioning

confidence: 99%

Differences in soil biological activity by terrain types at the sub-field scale in central Iowa US

et al. 2017

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Soil microbial communities are structured by biogeochemical processes that occur at many different spatial scales, which makes soil sampling difficult. Because soil microbial communities are important in nutrient cycling and soil fertility, it is important to understand how microbial communities function within the heterogeneous soil landscape. In this study, a self-organizing map was used to determine whether landscape data can be used to characterize the distribution of microbial biomass and activity in order to provide an improved understanding of soil microbial community function. Points within a row crop field in south-central Iowa were clustered via a self-organizing map using six landscape properties into three separate landscape clusters. Twelve sampling locations per cluster were chosen for a total of 36 locations. After the soil samples were collected, the samples were then analysed for various metabolic indicators, such as nitrogen and carbon mineralization, extractable organic carbon, microbial biomass, etc. It was found that sampling locations located in the potholes and toe slope positions had significantly greater microbial biomass nitrogen and carbon, total carbon, total nitrogen and extractable organic carbon than the other two landscape position clusters, while locations located on the upslope did not differ significantly from the other landscape clusters. However, factors such as nitrate, ammonia, and nitrogen and carbon mineralization did not differ significantly across the landscape. Overall, this research demonstrates the effectiveness of a terrain-based clustering method for guiding soil sampling of microbial communities.

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Spatial variability of soil microbial functioning in a tropical rainforest of French Guiana using nested sampling

Cited by 10 publications

References 71 publications

Remotely sensed canopy nitrogen correlates with nitrous oxide emissions in a lowland tropical rainforest

Remotely sensed canopy nitrogen correlates with nitrous oxide emissions in a lowland tropical rainforest

Grazing and nitrogen addition restructure the spatial heterogeneity of soil microbial community structure and enzymatic activities

Differences in soil biological activity by terrain types at the sub-field scale in central Iowa US

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