Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Spatio-temporal variation of throughfall in a hyrcanian plain forest stand in Northern Iran

Saleh Yousefi, Seyed Hamidreza Sadeghi, Somayeh Mirzaee, Martine van der Ploeg, Saskia Keesstra, Artemi Cerdà

Journal of Hydrology and Hydromechanics · 2017

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Summary

This study systematically documented precipitation partitioning in a Hyrcanian plain forest in northern Iran using a grid-based throughfall collector network over 12 months. Mean cumulative throughfall was 623±31 mm, with throughfall representing 56±14% of rainfall during leaf-on periods and 77±10% during leaf-off periods, demonstrating substantial seasonal variation linked to canopy phenology. The findings provide hydrological data relevant to forest watershed management and ecosystem services in northern Iranian forests.

UK applicability

While the specific forest composition (Quercus castaneifolia, Carpinus betulus, Populus caspica, Parrotia persica) is not typical of UK woodlands, the methodological framework and insights into seasonal canopy interception patterns may inform understanding of throughfall dynamics in UK deciduous forests, particularly regarding how winter leaf loss alters rainfall partitioning.

Key measures

Cumulative throughfall (mm); throughfall as percentage of rainfall (TFPR %); canopy cover (%) during leaf-on and leaf-off periods; correlation between gross precipitation and throughfall (R²); seasonal variation in TFPR

Outcomes reported

The study quantified spatio-temporal variation in throughfall and its relationship to canopy cover across seasons in a Hyrcanian mixed forest, measuring cumulative throughfall, canopy interception rates, and seasonal differences in rainfall partitioning.

Theme
Farming systems, soils & land use
Subject
Climate & greenhouse gas mitigation
Study type
Research
Study design
Field trial
Source type
Peer-reviewed study
Status
Published
Geography
Iran
System type
Agroforestry
DOI
10.1515/johh-2017-0034
Catalogue ID
BFmor3g5wd-i9vnla

Topic tags

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