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Laboratory determination of potential interception of young deciduous trees during low-intense precipitation Cover

Laboratory determination of potential interception of young deciduous trees during low-intense precipitation

Open Access
|Jul 2014

Abstract

The research issue focuses on potential interception, which is the maximum amount of water that can be stored on plant surface. Tests under controlled conditions remain the best way to enhance knowledge on interception determinants in forest communities. Such tests can provide data for identification of mathematical models based on ecological criteria.

The study presented in this paper concerned tree interception under simulated rain in a range from 2 to 11 mm/h. To perform the experiment a set of sprinklers was designed and built. The study included two deciduous species: beech (Fagus sylvatica L.) and oak (Quercus robur L.).

Descriptive characteristic and nonlinear estimation were suggested for the obtained data. Interdependence of potential interception, the intensity of rain and the size of raindrops were described using exponential equation.

The intensity and drop size of simulated rainfall significantly influence the obtained values of potential interception. Data analysis shows a decrease of interception value with an increase of intensity of simulated rainfall for both analysed species. Every run of the experiment that differed in the intensity and size of raindrops reached an individual level of potential interception and time needed to realize it.

The formation of ability of plants to intercept water depends both on the dynamics and the time of spraying.

DOI: https://doi.org/10.2478/ffp-2014-0001 | Journal eISSN: 2199-5907 | Journal ISSN: 0071-6677
Language: English
Page range: 3 - 8
Submitted on: Nov 13, 2013
Accepted on: Jan 13, 2014
Published on: Jul 10, 2014
Published by: Forest Research Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2014 Anna Klamerus-Iwan, Maciej Sporysz, published by Forest Research Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.