Trait-based representation of biological nitrification: model development, testing, and predicted community composition.
about
Trait-based approaches for understanding microbial biodiversity and ecosystem functioning.Biotic Interactions in Microbial Communities as Modulators of Biogeochemical Processes: Methanotrophy as a Model SystemLinking microbial community structure and microbial processes: an empirical and conceptual overviewBenthic ammonia oxidizers differ in community structure and biogeochemical potential across a riverine delta.Phylogenetic conservation of substrate use specialization in leaf litter bacteria.Microbes as Engines of Ecosystem Function: When Does Community Structure Enhance Predictions of Ecosystem Processes?Predicting the Responses of Soil Nitrite-Oxidizers to Multi-Factorial Global Change: A Trait-Based Approach.Engineering microbial consortia for controllable outputsThousands of microbial genomes shed light on interconnected biogeochemical processes in an aquifer system.Embracing the unknown: disentangling the complexities of the soil microbiome.Nutrient and Rainfall Additions Shift Phylogenetically Estimated Traits of Soil Microbial CommunitiesA genomic perspective on stoichiometric regulation of soil carbon cycling.Comparison of oxidation kinetics of nitrite-oxidizing bacteria: nitrite availability as a key factor in niche differentiationThe microbial nitrogen cycle.Regulation-Structured Dynamic Metabolic Model Provides a Potential Mechanism for Delayed Enzyme Response in Denitrification Process.Microbial community-level regulation explains soil carbon responses to long-term litter manipulations.Ocean biogeochemistry modeled with emergent trait-based genomics.Modeling of soil nitrification responses to temperature reveals thermodynamic differences between ammonia-oxidizing activity of archaea and bacteria.Model behavior of arbuscular mycorrhizal fungi: predicting soil carbon dynamics under climate change
P2860
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P2860
Trait-based representation of biological nitrification: model development, testing, and predicted community composition.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
2012年學術文章
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2012年學術文章
@zh-hant
name
Trait-based representation of ...... edicted community composition.
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Trait-based representation of ...... edicted community composition.
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type
label
Trait-based representation of ...... edicted community composition.
@ast
Trait-based representation of ...... edicted community composition.
@en
prefLabel
Trait-based representation of ...... edicted community composition.
@ast
Trait-based representation of ...... edicted community composition.
@en
P2860
P356
P1476
Trait-based representation of ...... edicted community composition.
@en
P2093
Nicholas J Bouskill
William J Riley
P2860
P356
10.3389/FMICB.2012.00364
P577
2012-10-18T00:00:00Z