• Je něco špatně v tomto záznamu ?

Negative feedback concept in tagging: Ghost tags imperil the long-term monitoring of fishes

M. Šmejkal, D. Bartoň, V. Děd, AT. Souza, P. Blabolil, L. Vejřík, Z. Sajdlová, M. Říha, J. Kubečka,

. 2020 ; 15 (3) : e0229350. [pub] 20200302

Jazyk angličtina Země Spojené státy americké

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/bmc20023116

Wildlife monitoring using passive telemetry has become a robust method for investigating animal migration. With increased use, this method progressively pollutes the environment with technological waste represented by so called ghost tags (PIT tags ending in the environment due to reproductive expulsions, shedding or animal mortality). However, their presence in the environment may lead to failed detections of living individuals. We used tagging data from studies of the asp Leuciscus aspius and the bleak Alburnus alburnus collected from 2014 to 2018 and located ghost tag positions on the monitored spawning site using portable backpack reader for their detection. We modelled virtual river-wide flat-bed antennas (widths 0.2, 0.4, 0.6 and 0.8 m) representing monitoring effort and estimated the probability of the presence of ghost tags within the antenna field. Of 3724 PIT tags used in the study, we detected on the spawning ground 173 ghost tags originating from long-term monitoring. The ghost tags accumulated in the environment in time, suggesting insufficient degradation rate or shift downstream from the research site. Number of ghost tags present on the spawning ground led to high probability of disabled readings of tagged fish passing through the antenna electro-magnetic field. We demonstrate how accumulated ghost tags may cause detection failures for focal species and incomplete data acquisition. We infer that intensive long-term monitoring using PIT tag technology may encumber future data acquisition or entail additional costs for clean-up.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc20023116
003      
CZ-PrNML
005      
20201214125317.0
007      
ta
008      
201125s2020 xxu f 000 0|eng||
009      
AR
024    7_
$a 10.1371/journal.pone.0229350 $2 doi
035    __
$a (PubMed)32119687
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxu
100    1_
$a Šmejkal, Marek $u Biology Centre of the Czech Academy of Sciences, Institute of Hydrobiology, České Budějovice, Czech Republic.
245    10
$a Negative feedback concept in tagging: Ghost tags imperil the long-term monitoring of fishes / $c M. Šmejkal, D. Bartoň, V. Děd, AT. Souza, P. Blabolil, L. Vejřík, Z. Sajdlová, M. Říha, J. Kubečka,
520    9_
$a Wildlife monitoring using passive telemetry has become a robust method for investigating animal migration. With increased use, this method progressively pollutes the environment with technological waste represented by so called ghost tags (PIT tags ending in the environment due to reproductive expulsions, shedding or animal mortality). However, their presence in the environment may lead to failed detections of living individuals. We used tagging data from studies of the asp Leuciscus aspius and the bleak Alburnus alburnus collected from 2014 to 2018 and located ghost tag positions on the monitored spawning site using portable backpack reader for their detection. We modelled virtual river-wide flat-bed antennas (widths 0.2, 0.4, 0.6 and 0.8 m) representing monitoring effort and estimated the probability of the presence of ghost tags within the antenna field. Of 3724 PIT tags used in the study, we detected on the spawning ground 173 ghost tags originating from long-term monitoring. The ghost tags accumulated in the environment in time, suggesting insufficient degradation rate or shift downstream from the research site. Number of ghost tags present on the spawning ground led to high probability of disabled readings of tagged fish passing through the antenna electro-magnetic field. We demonstrate how accumulated ghost tags may cause detection failures for focal species and incomplete data acquisition. We infer that intensive long-term monitoring using PIT tag technology may encumber future data acquisition or entail additional costs for clean-up.
650    _2
$a migrace zvířat $x fyziologie $7 D025041
650    _2
$a zvířata $7 D000818
650    _2
$a máloostní $x fyziologie $7 D003531
650    _2
$a zpětná vazba $7 D005246
650    _2
$a teoretické modely $7 D008962
650    _2
$a technologie dálkového snímání $x přístrojové vybavení $7 D058998
650    _2
$a roční období $7 D012621
655    _2
$a časopisecké články $7 D016428
655    _2
$a práce podpořená grantem $7 D013485
700    1_
$a Bartoň, Daniel $u Biology Centre of the Czech Academy of Sciences, Institute of Hydrobiology, České Budějovice, Czech Republic.
700    1_
$a Děd, Vilém $u Biology Centre of the Czech Academy of Sciences, Institute of Hydrobiology, České Budějovice, Czech Republic.
700    1_
$a Souza, Allan T $u Biology Centre of the Czech Academy of Sciences, Institute of Hydrobiology, České Budějovice, Czech Republic.
700    1_
$a Blabolil, Petr $u Biology Centre of the Czech Academy of Sciences, Institute of Hydrobiology, České Budějovice, Czech Republic.
700    1_
$a Vejřík, Lukáš $u Biology Centre of the Czech Academy of Sciences, Institute of Hydrobiology, České Budějovice, Czech Republic.
700    1_
$a Sajdlová, Zuzana $u Biology Centre of the Czech Academy of Sciences, Institute of Hydrobiology, České Budějovice, Czech Republic.
700    1_
$a Říha, Milan $u Biology Centre of the Czech Academy of Sciences, Institute of Hydrobiology, České Budějovice, Czech Republic.
700    1_
$a Kubečka, Jan $u Biology Centre of the Czech Academy of Sciences, Institute of Hydrobiology, České Budějovice, Czech Republic.
773    0_
$w MED00180950 $t PloS one $x 1932-6203 $g Roč. 15, č. 3 (2020), s. e0229350
856    41
$u https://pubmed.ncbi.nlm.nih.gov/32119687 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20201125 $b ABA008
991    __
$a 20201214125316 $b ABA008
999    __
$a ok $b bmc $g 1595435 $s 1113792
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2020 $b 15 $c 3 $d e0229350 $e 20200302 $i 1932-6203 $m PLoS One $n PLoS One $x MED00180950
LZP    __
$a Pubmed-20201125

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...