High-frequency video analysis extends beyond the capabilities of valvometry in acute behavioral disturbance detection in bivalves

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F22%3A92149" target="_blank" >RIV/60460709:41210/22:92149 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S1470160X22001273" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1470160X22001273</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ecolind.2022.108656" target="_blank" >10.1016/j.ecolind.2022.108656</a>

Jazyk výsledku

angličtina

Název v původním jazyce

High-frequency video analysis extends beyond the capabilities of valvometry in acute behavioral disturbance detection in bivalves

Popis výsledku v původním jazyce

Bivalve filtering behavior has been extensively used as a sensitive in vivo indicator of water environment changes. However, greater use of this technique is hindered by the usually complex, invasive, and laborious technical approaches needed to obtain high resolution data on the movement of bivalve shells. Here, we introduce and test a high-frequency (5 frames per second) video analysis method for studying the potential for acute behavioral disturbance detection in bivalves. The method was tested by monitoring the behavioral response of the freshwater mussel (Anodonta anatina) to a reference toxicant, and the results were compared to data obtained through traditional valvometric evaluation using magnetic Hall sensors. Both methods showed high levels of sensitivity and specificity with no sig-nificant differences between the methods. Additionally, both methods performed equally well according to most binary classification metrics, such as accuracy, positive predictive value, negative predictive value

Název v anglickém jazyce

High-frequency video analysis extends beyond the capabilities of valvometry in acute behavioral disturbance detection in bivalves

Popis výsledku anglicky

Bivalve filtering behavior has been extensively used as a sensitive in vivo indicator of water environment changes. However, greater use of this technique is hindered by the usually complex, invasive, and laborious technical approaches needed to obtain high resolution data on the movement of bivalve shells. Here, we introduce and test a high-frequency (5 frames per second) video analysis method for studying the potential for acute behavioral disturbance detection in bivalves. The method was tested by monitoring the behavioral response of the freshwater mussel (Anodonta anatina) to a reference toxicant, and the results were compared to data obtained through traditional valvometric evaluation using magnetic Hall sensors. Both methods showed high levels of sensitivity and specificity with no sig-nificant differences between the methods. Additionally, both methods performed equally well according to most binary classification metrics, such as accuracy, positive predictive value, negative predictive value

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40103 - Fishery

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

ECOLOGICAL INDICATORS

ISSN

1470-160X

e-ISSN

1872-7034

Svazek periodika

136

Číslo periodika v rámci svazku

March 2022

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

7

Strana od-do

0-0

Kód UT WoS článku

000761401200005

EID výsledku v databázi Scopus

2-s2.0-85124386715