• Je něco špatně v tomto záznamu ?

Fine-scale movement patterns and habitat selection of little owls (Athene noctua) from two declining populations

M. Mayer, M. Šálek, AD. Fox, F. Juhl Lindhøj, LB. Jacobsen, P. Sunde

. 2021 ; 16 (9) : e0256608. [pub] 20210927

Jazyk angličtina Země Spojené státy americké

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/bmc22003671

Advances in bio-logging technology for wildlife monitoring have expanded our ability to study space use and behavior of many animal species at increasingly detailed scales. However, such data can be challenging to analyze due to autocorrelation of GPS positions. As a case study, we investigated spatiotemporal movements and habitat selection in the little owl (Athene noctua), a bird species that is declining in central Europe and verges on extinction in Denmark. We equipped 6 Danish food-supplemented little owls and 6 non-supplemented owls in the Czech Republic with high-resolution GPS loggers that recorded one position per minute. Nightly space use, measured as 95% kernel density estimates, of Danish male owls were on average 62 ha (± 64 SD, larger than any found in previous studies) compared to 2 ha (± 1) in females, and to 3 ± 1 ha (males) versus 3 ± 5 ha (females) in the Czech Republic. Foraging Danish male owls moved on average 4-fold further from their nest and at almost double the distance per hour than Czech males. To create availability data for the habitat selection analysis, we accounted for high spatiotemporal autocorrelation of the GPS data by simulating correlated random walks with the same autocorrelation structure as the actual little owl movement trajectories. We found that habitat selection was similar between Danish and Czech owls, with individuals selecting for short vegetation and areas with high structural diversity. Our limited sample size did not allow us to infer patterns on a population level, but nevertheless demonstrates how high-resolution GPS data can help to identify critical habitat requirements to better formulate conservation actions on a local scale.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc22003671
003      
CZ-PrNML
005      
20220127150007.0
007      
ta
008      
220113s2021 xxu f 000 0|eng||
009      
AR
024    7_
$a 10.1371/journal.pone.0256608 $2 doi
035    __
$a (PubMed)34570774
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxu
100    1_
$a Mayer, Martin $u Department of Bioscience, Aarhus University, Aarhus, Denmark
245    10
$a Fine-scale movement patterns and habitat selection of little owls (Athene noctua) from two declining populations / $c M. Mayer, M. Šálek, AD. Fox, F. Juhl Lindhøj, LB. Jacobsen, P. Sunde
520    9_
$a Advances in bio-logging technology for wildlife monitoring have expanded our ability to study space use and behavior of many animal species at increasingly detailed scales. However, such data can be challenging to analyze due to autocorrelation of GPS positions. As a case study, we investigated spatiotemporal movements and habitat selection in the little owl (Athene noctua), a bird species that is declining in central Europe and verges on extinction in Denmark. We equipped 6 Danish food-supplemented little owls and 6 non-supplemented owls in the Czech Republic with high-resolution GPS loggers that recorded one position per minute. Nightly space use, measured as 95% kernel density estimates, of Danish male owls were on average 62 ha (± 64 SD, larger than any found in previous studies) compared to 2 ha (± 1) in females, and to 3 ± 1 ha (males) versus 3 ± 5 ha (females) in the Czech Republic. Foraging Danish male owls moved on average 4-fold further from their nest and at almost double the distance per hour than Czech males. To create availability data for the habitat selection analysis, we accounted for high spatiotemporal autocorrelation of the GPS data by simulating correlated random walks with the same autocorrelation structure as the actual little owl movement trajectories. We found that habitat selection was similar between Danish and Czech owls, with individuals selecting for short vegetation and areas with high structural diversity. Our limited sample size did not allow us to infer patterns on a population level, but nevertheless demonstrates how high-resolution GPS data can help to identify critical habitat requirements to better formulate conservation actions on a local scale.
650    _2
$a migrace zvířat $x fyziologie $7 D025041
650    _2
$a zvířata $7 D000818
650    _2
$a chování zvířat $x fyziologie $7 D001522
650    _2
$a biologický monitoring $7 D000079687
650    _2
$a ekosystém $7 D017753
650    _2
$a ženské pohlaví $7 D005260
650    _2
$a mužské pohlaví $7 D008297
650    _2
$a pohyb $x fyziologie $7 D009068
650    _2
$a Stringiformes $x fyziologie $7 D020305
651    _2
$a Česká republika $7 D018153
655    _2
$a časopisecké články $7 D016428
655    _2
$a práce podpořená grantem $7 D013485
700    1_
$a Šálek, Martin $u Czech Academy of Sciences, Institute of Vertebrate Biology, Brno, Czech Republic $u Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic
700    1_
$a Fox, Anthony David $u Department of Bioscience, Aarhus University, Aarhus, Denmark
700    1_
$a Juhl Lindhøj, Frej $u Department of Bioscience, Aarhus University, Aarhus, Denmark
700    1_
$a Jacobsen, Lars Bo $u Center for Macroecology, Evolution and Climate, Globe Institute, University of Copenhagen, Copenhagen, Denmark
700    1_
$a Sunde, Peter $u Department of Bioscience, Aarhus University, Aarhus, Denmark
773    0_
$w MED00180950 $t PloS one $x 1932-6203 $g Roč. 16, č. 9 (2021), s. e0256608
856    41
$u https://pubmed.ncbi.nlm.nih.gov/34570774 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y p $z 0
990    __
$a 20220113 $b ABA008
991    __
$a 20220127150003 $b ABA008
999    __
$a ok $b bmc $g 1751204 $s 1154820
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2021 $b 16 $c 9 $d e0256608 $e 20210927 $i 1932-6203 $m PLoS One $n PLoS One $x MED00180950
LZP    __
$a Pubmed-20220113

Najít záznam

Citační ukazatele

Možnosti archivace