Supplementary file 1_Soil microbial communities shift in response to cropping sequence div
by Newton Z. Lupwayi·Updated 18d ago
49.1 KB1files
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Description
Supplementary file 1 contains data from a 10-year field experiment evaluating the impact of integrating perennial forage seed crops into annual cropping sequences on soil microbial communities. The dataset, authored by Newton Z. Lupwayi, includes measurements of microbial biomass carbon, prokaryotic and fungal community composition and diversity, and the activities of enzymes involved in carbon, nitrogen, phosphorus, and sulfur cycling. The data was last updated on 2026-05-26.
Use Cases
Modeling soil microbial biomass carbon based on cropping sequence and nitrogen fertilization levels.
Analyzing shifts in prokaryotic and fungal community diversity in response to perennial crop integration.
Correlating soil enzyme activity for nutrient cycling with specific crop types like creeping red fescue.
Investigating the relationship between nitrogen fertilizer application and the abundance of copiotrophic vs. oligotrophic microbial phyla.
Strengths
Data originates from a 10-year field experiment, providing longitudinal insights.
Includes specific quantitative findings, such as a 17% greater soil microbial biomass carbon in diversified sequences.
Measures multiple microbial metrics, including biomass, diversity indices (e.g., Chao1), and four distinct enzyme activities.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
The 49.1 KB file size suggests a limited scope of data.
Provenance
Source
Newton Z. Lupwayi via figshare.
Collection Method
Data collected from a 10-year field experiment with eight cropping sequences under varying nitrogen fertilization.
Time Range
Experiment spanned 10 years; specific start year is not provided.
Freshness
Last updated 2026-05-26 06:02:11; freshness should be verified.
Geography
Canadian prairies.
Primary data file is in DOCX format, which may require conversion for analysis.