Could the directly measured data of transpiration be replaced by model outputs?
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F20%3A43918121" target="_blank" >RIV/62156489:43210/20:43918121 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00020699:_____/20:N0000078
Výsledek na webu
<a href="https://doi.org/10.31577/congeo.2020.50.1.2" target="_blank" >https://doi.org/10.31577/congeo.2020.50.1.2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.31577/congeo.2020.50.1.2" target="_blank" >10.31577/congeo.2020.50.1.2</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Could the directly measured data of transpiration be replaced by model outputs?
Popis výsledku v původním jazyce
Successful upscaling of the direct measurement of evapotranspiration at individual plant level to canopy level with specific microclimatic conditions has recently received considerable attention of scientific community. And since the knowledge of transpiration is among important inputs of various experiments on solitary plant level the paper employs the reverse approach-the downscaling from the canopy to individual plant. The main task of the study is thus to compare Penman-Monteith method of computing potential evapotranspiration with directly measured values of transpiration of maize. Since the model deals with canopy level and the direct measurement is being carried out on level of individual plants, this comparison answers the question if the timeconsuming and demanding measurement of transpiration on plant level could be substitute by relative easily reachable model outputs. The results shown that evapotranspiration of maize computed by Penman-Monteith model cannot be successfully downscaled back to the solitary plant level. The correlation coefficient between these two data series for three individual phenological stages vary from 0.5831 to 0.7803 (α = 0.01) while for whole growing period regardless phenological stage is 0.6925 (α = 0.01). The directly measured data of transpiration cannot by simply replaced by modelled data, but their application after conversion using regression equations is possible with certain level of inaccuracy.
Název v anglickém jazyce
Could the directly measured data of transpiration be replaced by model outputs?
Popis výsledku anglicky
Successful upscaling of the direct measurement of evapotranspiration at individual plant level to canopy level with specific microclimatic conditions has recently received considerable attention of scientific community. And since the knowledge of transpiration is among important inputs of various experiments on solitary plant level the paper employs the reverse approach-the downscaling from the canopy to individual plant. The main task of the study is thus to compare Penman-Monteith method of computing potential evapotranspiration with directly measured values of transpiration of maize. Since the model deals with canopy level and the direct measurement is being carried out on level of individual plants, this comparison answers the question if the timeconsuming and demanding measurement of transpiration on plant level could be substitute by relative easily reachable model outputs. The results shown that evapotranspiration of maize computed by Penman-Monteith model cannot be successfully downscaled back to the solitary plant level. The correlation coefficient between these two data series for three individual phenological stages vary from 0.5831 to 0.7803 (α = 0.01) while for whole growing period regardless phenological stage is 0.6925 (α = 0.01). The directly measured data of transpiration cannot by simply replaced by modelled data, but their application after conversion using regression equations is possible with certain level of inaccuracy.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
40106 - Agronomy, plant breeding and plant protection; (Agricultural biotechnology to be 4.4)
Návaznosti výsledku
Projekt
<a href="/cs/project/QK1720285" target="_blank" >QK1720285: Metody korekce vláhových potřeb plodin zohledňující scénáře změn klimatu území ČR pro optimalizaci managementu závlah.</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Contributions to Geophysics and Geodesy
ISSN
1335-2806
e-ISSN
—
Svazek periodika
50
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
SK - Slovenská republika
Počet stran výsledku
15
Strana od-do
33-47
Kód UT WoS článku
000572163700002
EID výsledku v databázi Scopus
2-s2.0-85088393051