Hydrological regime in the Alpine forests explained through tree ages, fog precipitation, rainfall and canopy interception

This manuscript presents a comprehensive analysis of the eco-hydrology of an Alpine mountain forest. The data series contains monitoring aspects to find effects of the role of fog during mixed rain-fog situations and particularly in an old-grown forest with presence of lichens. This research is a contribution to eco-physiology of forests and their role in regional climate change. The water balance was evaluated of the 2 systems: old forest and young forest. Diverse environmental components were directly measured and calculated to evaluate the effects of fog in old and young forests. The parameters of evapotranspiration were applied separately using time scales and eddy covariance.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-18
DOI
https://doi.org/10.5281/zenodo.15691354
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
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article

Hydrological regime in the Alpine forests explained through tree ages, fog precipitation, rainfall and canopy interception

Zenodo (CERN European Organization for Nuclear Research)
Remote Sensing in Agriculture
article

Hydrological regime in the Alpine forests explained through tree ages, fog precipitation, rainfall and canopy interception

article en

Abstract

This manuscript presents a comprehensive analysis of the eco-hydrology of an Alpine mountain forest. The data series contains monitoring aspects to find effects of the role of fog during mixed rain-fog situations and particularly in an old-grown forest with presence of lichens. This research is a contribution to eco-physiology of forests and their role in regional climate change. The water balance was evaluated of the 2 systems: old forest and young forest. Diverse environmental components were directly measured and calculated to evaluate the effects of fog in old and young forests. The parameters of evapotranspiration were applied separately using time scales and eddy covariance.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 53%
Remote Sensing in Agriculture
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