Vegetation productivity influences bird vocal activity across tropical ecosystems: Implica

Acoustic detection records of bird species collected using Passive Acoustic Monitoring (PAM) across multiple sites in Nigeria, alongside corresponding environmental variables. The dataset was authored by Iniunam Iniunam and last updated on 2026-05-30. It is intended for assessing patterns of vocal activity and phenology.

Use Cases

• Modeling bird vocal activity patterns based on environmental variables mentioned in the description
• Assessing phenological shifts in tropical bird species based on acoustic detection records
• Evaluating the effectiveness of Passive Acoustic Monitoring (PAM) for biodiversity surveys in Nigeria
• Correlating vegetation productivity metrics with avian acoustic diversity

Strengths

• Data includes corresponding environmental variables for acoustic detections
• Covers multiple sites within Nigeria, providing geographic context
• Uses Passive Acoustic Monitoring (PAM), a standardized data collection method

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect geographic bias inherent to the Nigerian sampling sites

Provenance

Source

figshare

Collection Method

Passive Acoustic Monitoring (PAM)

Freshness

Last updated 2026-05-30 22:39:27; freshness should be verified

Geography

Multiple sites in Nigeria