# Source: light response data
**Category:** biology_health
**README generated:** 2025-10-05 19:56:35Z

## Source URL(s)
- https://webdav.tuebingen.mpg.de/cause-effect/

## Citation(s)
- Mooij, J. M., Peters, J., Janzing, D., Zscheischler, J., & Schölkopf, B. (2016). Distinguishing cause from effect using observational data: methods and benchmarks. Journal of Machine Learning Research, 17(32), 1-102.
- Moffat A.M. (2012): Assessing competing semi-empirical equations:
Light response curve (Chapter 7). In: /A new methodology to interpret
high resolution measurements of net carbon fluxes between terrestrial
ecosystems and the atmosphere/. pp. 68-80. Doctoral thesis, Friedrich
Schiller University, Jena.

## Variables (X → Y)
- ppfd(PPFD,PPFDdif,PPFDdir) → NEP

## Causal reasoning

Light intensity (PPFD) causally influences net ecosystem productivity (NEP) by determining the rate of photosynthetic carbon uptake relative to respiratory carbon release.

## Notes:

Present in the Tübingen dataset.