Evergreen Needleleaf Forest Multi-Scale Photosynthesis Data

Zoe Pierrat and colleagues from the University of California, Los Angeles provide a multi-scale dataset from four evergreen needleleaf forest sites. It integrates needle-scale pigment and fluorescence data, tower-scale eddy-covariance and meteorological measurements, and remotely sensed solar-induced fluorescence and vegetation indices. The data support research on the seasonal timing and biological basis of photosynthesis across diverse forest ecosystems.

Use Cases

• Modeling seasonal photosynthesis dynamics based on needle-scale pigment and fluorescence measurements.
• Validating tower-scale eddy-covariance carbon flux estimates with remote sensing vegetation indices.
• Investigating the relationship between solar-induced fluorescence and photosynthetic yield across different forest biomes.
• Comparing boreal and temperate evergreen forest responses to environmental drivers using meteorological data.

Strengths

• Includes data from four distinct forest sites spanning a wide latitudinal and temperature gradient (mean annual temperature from 0.4°C to 21.1°C).
• Integrates measurements across multiple scales: needle-level, tower-level, and remote sensing.
• Dataset is associated with two peer-reviewed publications from 2024, providing scientific context.

Limitations

• Key metadata such as row count, file size, specific column names, and last update date are not provided on any platform.
• The description of MONI-PAM fluorescence data coverage differs between sources (DEJU only vs. DEJU and US-NR1 sites).
• Users are advised to contact data producers for usage limitations, suggesting potential undocumented complexities.

Provenance

Source

University of California, Los Angeles (Zoe Pierrat et al.)

Collection Method

Field measurements including eddy-covariance towers, MONI-PAM fluorometers, and remote sensing.

Geography

Four sites: Alaska, USA (DEJU); Saskatchewan, Canada (Ca-Obs); Colorado, USA (US-NR1); Florida, USA (OSBS).