Genetic Diversity and Distribution of Picea Asperata Under Climate Scenarios

Qinyuan Chen's dataset, last updated in May 2026, contains genetic and environmental data for Picea asperata (a coniferous tree). The data includes transcriptome sequencing from 54 individuals across 11 populations, combined with environmental variables for species distribution modeling. It was used to assess population structure, genetic diversity, and predict habitat shifts under future climate scenarios.

Use Cases

• Modeling species habitat suitability based on environmental variables like December wind speed and precipitation.
• Analyzing population genetic structure and gene flow based on transcriptome sequencing data.
• Identifying candidate genes involved in stress responses through functional annotation and GO enrichment.
• Projecting future habitat shifts for conservation planning using MaxEnt models under SSP climate scenarios.

Strengths

• Includes genetic data from 54 individual trees across 11 distinct natural populations.
• Integrates environmental variables with genomic data for redundancy analysis (RDA) and latent factor mixed models (LFMM).
• Provides species distribution projections for multiple future climate scenarios (SSP1-2.6 and SSP5-8.5).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a 1.9 MB DOCX document, which may not be a standard format for structured data analysis.

Provenance

Source

Qinyuan Chen, via figshare.

Collection Method

Transcriptome sequencing of natural populations combined with environmental variable collection and species distribution modeling.

Freshness

Last updated 2026-05-28 05:30:13; freshness should be verified.

Geography

Alpine and subalpine regions of Southwest China.