Estimating environmental preferences of freshwater pelagic fish using hydroacoustics and satellite remote sensing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F19%3A00517213" target="_blank" >RIV/60077344:_____/19:00517213 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.mdpi.com/2073-4441/11/11/2226" target="_blank" >https://www.mdpi.com/2073-4441/11/11/2226</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/w11112226" target="_blank" >10.3390/w11112226</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Estimating environmental preferences of freshwater pelagic fish using hydroacoustics and satellite remote sensing

Popis výsledku v původním jazyce

In this study, a remote sensing-based method of mapping and predicting fish spatial distribution in inland waters is developed. A combination of Earth Observation data, in-situ measurements, and hydroacoustics is used to relate fish biomass distribution and water-quality parameters along the longitudinal transect of the Rímov Reservoir (Czech Republic) using statistical and machine learning techniques. Parameter variations and biomass distribution are estimated and validated, and apparent trends are explored and discussed, together with potential limitations and weaknesses. Water-quality parameters exhibit longitudinal gradients along the reservoir, while calculations reveal a distinct fish assemblage pattern observed as a patchy overall biomass distribution. Although the proposed methodology has a great potential for sustainable water management, careful planning is needed to ensure the simultaneous acquisition of remote sensing and in-situ data to maximize calibration accuracy.

Název v anglickém jazyce

Estimating environmental preferences of freshwater pelagic fish using hydroacoustics and satellite remote sensing

Popis výsledku anglicky

In this study, a remote sensing-based method of mapping and predicting fish spatial distribution in inland waters is developed. A combination of Earth Observation data, in-situ measurements, and hydroacoustics is used to relate fish biomass distribution and water-quality parameters along the longitudinal transect of the Rímov Reservoir (Czech Republic) using statistical and machine learning techniques. Parameter variations and biomass distribution are estimated and validated, and apparent trends are explored and discussed, together with potential limitations and weaknesses. Water-quality parameters exhibit longitudinal gradients along the reservoir, while calculations reveal a distinct fish assemblage pattern observed as a patchy overall biomass distribution. Although the proposed methodology has a great potential for sustainable water management, careful planning is needed to ensure the simultaneous acquisition of remote sensing and in-situ data to maximize calibration accuracy.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10617 - Marine biology, freshwater biology, limnology

Projekt

<a href="/cs/project/EF16_025%2F0007417" target="_blank" >EF16_025/0007417: Biomanipulace jako nástroj zlepšení kvality vody nádrží</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

Water

ISSN

2073-4441

e-ISSN

—

Svazek periodika

11

Číslo periodika v rámci svazku

11

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

17

Strana od-do

2226

Kód UT WoS článku

000502264500028

EID výsledku v databázi Scopus

2-s2.0-85075552916