Mesquite Pod Metabolite Diversity Linked to Environmental Metrics from Zacatecas

Alfredo Esparza-Orozco's dataset contains tree-level records for 48 Neltuma (mesquite) trees sampled across Zacatecas, Mexico. It integrates geographic coordinates, elevation, and remote-sensing vegetation metrics with morphological pod traits and secondary-metabolite diversity counts. The data supports a 2025 study published in Ecologies.

Use Cases

• Modeling secondary metabolite diversity based on remote-sensing vegetation indices like SAVI and Rao's Q.
• Correlating pod morphological traits (weight and size) with environmental and geographic variables.
• Analyzing the distribution of 17 distinct secondary-metabolite classes across different geographic regions.
• Studying the influence of environmental heterogeneity on plant chemical diversity in semiarid ecosystems.

Strengths

• Integrates field-collected morphological and chemical data with satellite-derived remote-sensing metrics.
• Includes a presence/absence matrix for 17 distinct secondary-metabolite classes.
• Provides precise geographic coordinates and elevation for 48 sampled trees.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (10.4 KB), indicating a limited scope focused on a specific study.

Provenance

Source

Alfredo Esparza-Orozco

Collection Method

Field sampling of 48 mesquite trees combined with analysis of Landsat 8 imagery for remote-sensing metrics.

Freshness

Last updated 2026-05-11 17:10:55; freshness should be verified.

Geography

Southern, central, and northern regions of Zacatecas, Mexico.