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

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10501 - Hydrology

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

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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Počet stran výsledku

6

Strana od-do

242-247

Název nakladatele

Mendelova univerzita v Brně

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

10. 11. 2021

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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