Tree Survival Analysis Across Ontogenetic Stages

Spatiotemporal demographic data examines the stage-dependent effects of biotic neighborhoods, functional traits, and abiotic environments on tree survival. The dataset, created by Xian Lu, was last updated in April 2026. It supports analysis of survival across four distinct life-history stages.

Use Cases

• Model tree survival probability across four life-history stages using GLMMs on demographic data.
• Analyze the effect of conspecific negative density dependence on survival rates for different species.
• Examine how heterospecific trait dissimilarity influences survival outcomes in a forest community.
• Assess the interaction between functional traits and environmental conditions on survival across ontogenetic stages.
• Quantify the relative importance of biotic neighborhoods versus abiotic environments for survival at each stage.

Strengths

• Data spans four distinct life-history stages, enabling stage-specific analysis.
• Analysis incorporates multiple joint drivers: biotic neighborhoods, functional traits, and abiotic environments.
• The dataset is openly available under a CC-BY-4.0 license.

Limitations

• The dataset is relatively small at 3.5 MB, suggesting limited row or feature count.
• Specific column names, row counts, and geographic details are unknown.
• The analysis is focused on a single temperate forest, limiting generalizability.

Provenance

Source

figshare

Collection Method

Spatiotemporal demographic data analyzed using Generalized Linear Mixed Models (GLMMs).

Freshness

Updated in April 2026.

Geography

A temperate forest.