Articles | Volume 17, issue 5
https://doi.org/10.5194/esd-17-1551-2026
https://doi.org/10.5194/esd-17-1551-2026
Research article
 | 
20 Oct 2026
Research article |  | 20 Oct 2026

Benchmarking conditioners in Liang–Kleeman Information Flow: application to land–atmosphere interactions in humid forests

Fareeha Siddique, Daniel Fiifi Tawia Hagan, Guojie Wang, David Docquier, and Stéphane Vannitsem

Viewed

Total article views: 2,012 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,397 498 117 2,012 238 118 205
  • HTML: 1,397
  • PDF: 498
  • XML: 117
  • Total: 2,012
  • Supplement: 238
  • BibTeX: 118
  • EndNote: 205
Views and downloads (calculated since 26 Jan 2026)
Cumulative views and downloads (calculated since 26 Jan 2026)

Viewed (geographical distribution)

Total article views: 2,012 (including HTML, PDF, and XML) Thereof 1,949 with geography defined and 63 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 20 Oct 2026
Download
Short summary
Understanding causality in Earth-system processes is challenging because multiple drivers act simultaneously and can distort causal estimates. We develop a diagnostic framework using controlled experiments and real land–atmosphere data to identify when external drivers affect how one variable influences another (via Liang–Kleeman Information Flow). This influence depends on system stress, guiding when multivariate conditioning is necessary.
Share
Altmetrics
Final-revised paper
Preprint