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Journal ArticleDOI

Abiotic drivers and plant traits explain landscape-scale patterns in soil microbial communities

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TLDR
It is found that variation in soil microbial communities was explained by abiotic factors like climate, pH and soil properties, and more bacterial-dominated microbial communities were associated with exploitative plant traits versus fungal-dominated communities with resource-conservative traits, showing that plant functional traits and soil microbial Communities are closely related at the landscape scale.
Abstract
The controls on aboveground community composition and diversity have been extensively studied, but our understanding of the drivers of belowground microbial communities is relatively lacking, despite their importance for ecosystem functioning. In this study, we fitted statistical models to explain landscape-scale variation in soil microbial community composition using data from 180 sites covering a broad range of grassland types, soil and climatic conditions in England. We found that variation in soil microbial communities was explained by abiotic factors like climate, pH and soil properties. Biotic factors, namely community-weighted means (CWM) of plant functional traits, also explained variation in soil microbial communities. In particular, more bacterial-dominated microbial communities were associated with exploitative plant traits versus fungal-dominated communities with resource-conservative traits, showing that plant functional traits and soil microbial communities are closely related at the landscape scale.

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Citations
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Journal ArticleDOI

The world‐wide ‘fast–slow’ plant economics spectrum: a traits manifesto

TL;DR: A single ‘fast–slow’ plant economics spectrum that integrates across leaves, stems and roots is a key feature of the plant universe and helps to explain individual ecological strategies, community assembly processes and the functioning of ecosystems.
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TRY plant trait database : Enhanced coverage and open access

Jens Kattge, +754 more
TL;DR: The extent of the trait data compiled in TRY is evaluated and emerging patterns of data coverage and representativeness are analyzed to conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements.
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Going underground: root traits as drivers of ecosystem processes

TL;DR: Emerging evidence that illustrates how root traits impact ecosystem processes is synthesised, and a pathway to unravel the complex roles of root traits in driving ecosystem processes and their response to global change is proposed.
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The mycorrhizal-associated nutrient economy: a new framework for predicting carbon-nutrient couplings in temperate forests.

TL;DR: A framework for considering how tree species and their mycorrhizal associates differentially couple carbon and nutrient cycles in temperate forests is proposed and how these dynamics can be used to develop better representations of plant-soil feedbacks and nutrient constraints on productivity in ecosystem and earth system models is described.
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Soil enzyme activities, microbial communities, and carbon and nitrogen availability in organic agroecosystems across an intensively-managed agricultural landscape

TL;DR: In this paper, an on-farm approach was used to investigate microbial communities and soil carbon (C) and nitrogen availability on 13 organically-managed fields growing Roma-type tomatoes, but differing in nutrient management, across an intensively-managed agricultural landscape in the Central Valley of California.
References
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Mixed-Effects Models in S and S-PLUS

TL;DR: Linear Mixed-Effects and Nonlinear Mixed-effects (NLME) models have been studied in the literature as mentioned in this paper, where the structure of grouped data has been used for fitting LME models.
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The worldwide leaf economics spectrum

TL;DR: Reliable quantification of the leaf economics spectrum and its interaction with climate will prove valuable for modelling nutrient fluxes and vegetation boundaries under changing land-use and climate.
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The diversity and biogeography of soil bacterial communities

TL;DR: Bacterial diversity was highest in neutral soils and lower in acidic soils, with soils from the Peruvian Amazon the most acidic and least diverse in this study.
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Ecological linkages between aboveground and belowground biota.

TL;DR: This work shows how aboveground and belowground components are closely interlinked at the community level, reinforced by a greater degree of specificity between plants and soil organisms than has been previously supposed.
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The unseen majority: Soil microbes as drivers of plant diversity and productivity in terrestrial ecosystems

TL;DR: Overall, this review shows that soil microbes must be considered as important drivers of plant diversity and productivity in terrestrial ecosystems.
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