Livestock Exposure to Heat Stress Driven by ENSO Events

Weihang Liu's dataset quantifies the impact of the El Niño/Southern Oscillation (ENSO) on local livestock heat exposure and global synchrony. The data likely contains metrics linking ENSO-driven climate risk with risk perception and adaptation capacity across countries. It was last updated on June 1, 2026, and is shared under a CC-BY-4.0 license.

Use Cases

• Analyzing the correlation between ENSO phases and livestock heat exposure risk based on the described empirical model.
• Mapping global synchrony of heat stress exposure within low-income country groups as mentioned in the description.
• Assessing disparities between ENSO-driven exposure, climate concern, and adaptive capacity across nations.
• Evaluating feed-supply and trade-based buffering capacity in low-income countries facing high exposure.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• Focuses on a specific climate driver (ENSO) and its teleconnections to livestock systems.
• Explicitly addresses inequalities in exposure, perception, and adaptation capacity.

Limitations

• Dataset size is only 57.8 KB, indicating a very limited scope.
• Row count and column-level documentation are unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Likely derived from empirical modeling of climate and livestock data, as described.

Freshness

Last updated 2026-06-01 09:44:58; freshness should be verified.

Geography

Global, with a focus on low-income countries.