Analysis of small forest catchments evapotranspiration determined by precipitation/runoff measurements, remote sensing model DisALEXI and water balance model SoilClim

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F21%3A43921844" target="_blank" >RIV/62156489:43210/21:43921844 - isvavai.cz</a>

Result on the web

<a href="https://mendelnet.cz/media/mnet_2021_full.pdf" target="_blank" >https://mendelnet.cz/media/mnet_2021_full.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Analysis of small forest catchments evapotranspiration determined by precipitation/runoff measurements, remote sensing model DisALEXI and water balance model SoilClim

Original language description

The below-average precipitation combined with above-average temperature during the period 2015-2019 showed high susceptibility of the Czech landscape to drought stress. This particular drought caused significant economics losses in the forestry, agcicultural and water management sectors. Because the climate models predict recurrence of drought period with increasing intensity and frequency, accurate knowledge of individual ecosystems evapotranspiration is needed to develop suitable adaptation to climate change. This contribution detects the evapotranspiration determined by precipitation/runoff measurements, diagnostic remote sensing model DisALEXI and semi-empirical model SoilClim in small forest (mostly Norway spruce) catchments areas (GEOMON network). Based on altitudinal gradient analysis (470-942 m), two of the three applied methods (DisALEXI and SoilClim models) confirm the previously accepted hypothesis, that at low elevation the evapotranspiration is limited by precipitation while at higher altitudes by available energy. Moreover, these two models identify the break point where evapotranspiration reaches maximum values and the altitude where evapotranspiration begins to be limited by a lack of available energy (DisALEXI at 758 m, SoilClim at 685 m). However, the DisALEXI model as the only one that best captures the relationship between evapotranspiration, precipitation and altitude. This analysis can by useful for detection suitable conditions for sustainable spruce forest management.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10501 - Hydrology

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

MendelNet 2021: Proceedings of International PhD Students Conference

ISBN

978-80-7509-821-4

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

242-247

Publisher name

Mendelova univerzita v Brně

Place of publication

Brno

Event location

Brno

Event date

Nov 10, 2021

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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