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Predicting kill sites of an apex predator from GPS data in different multiprey systems
ID
Oliveira, Teresa
(
Avtor
),
ID
Carricondo-Sanchez, David
(
Avtor
),
ID
Mattisson, Jenny
(
Avtor
),
ID
Vogt, Kristina
(
Avtor
),
ID
Corradini, Andrea
(
Avtor
),
ID
Linnell, John D. C.
(
Avtor
),
ID
Odden, John
(
Avtor
),
ID
Heurich, Marco
(
Avtor
),
ID
Rodríguez-Recio, Mariano
(
Avtor
),
ID
Krofel, Miha
(
Avtor
)
PDF - Predstavitvena datoteka,
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(1,05 MB)
MD5: EB5F1E83707C5787D1729FD67407A686
URL - Izvorni URL, za dostop obiščite
https://esajournals.onlinelibrary.wiley.com/doi/10.1002/eap.2778
Galerija slik
Izvleček
Kill rates are a central parameter to assess the impact of predation on prey species. An accurate estimation of kill rates requires a correct identification of kill sites, often achieved by field-checking GPS location clusters (GLCs). However, there are potential sources of error included in kill-site identification, such as failing to detect GLCs that are kill sites, and misclassifying the generated GLCs (e.g., kill for nonkill) that were not field checked. Here, we address these two sources of error using a large GPS dataset of collared Eurasian lynx (Lynx lynx), an apex predator of conservation concern in Europe, in three multiprey systems, with different combinations of wild, semidomestic, and domestic prey. We first used a subsampling approach to investigate how different GPS-fix schedules affected the detection of GLC-indicated kill sites. Then, we evaluated the potential of the random forest algorithm to classify GLCs as nonkills, small prey kills, and ungulate kills. We show that the number of fixes can be reduced from seven to three fixes per night without missing more than 5% of the ungulate kills, in a system composed of wild prey. Reducing the number of fixes per 24 h decreased the probability of detecting GLCs connected with kill sites, particularly those of semidomestic or domestic prey, and small prey. Random forest successfully predicted between 73%–90% of ungulate kills, but failed to classify most small prey in all systems, with sensitivity (true positive rate) lower than 65%. Additionally, removing domestic prey improved the algorithm’s overall accuracy. We provide a set of recommendations for studies focusing on kill-site detection that can be considered for other large carnivore species in addition to the Eurasian lynx. We recommend caution when working in systems including domestic prey, as the odds of underestimating kill rates are higher.
Jezik:
Angleški jezik
Ključne besede:
GPS location clusters
,
GPS-fix schedule
,
kill sites
,
random forest
,
Eurasian lynx
,
domestic prey
,
GLCs
,
multiprey system
Vrsta gradiva:
Članek v reviji
Tipologija:
1.01 - Izvirni znanstveni članek
Organizacija:
BF - Biotehniška fakulteta
Status publikacije:
Objavljeno
Različica publikacije:
Objavljena publikacija
Leto izida:
2023
Št. strani:
12 str.
Številčenje:
Vol. 33, iss. 2, art. e2778
PID:
20.500.12556/RUL-145000
UDK:
630*156
ISSN pri članku:
1939-5582
DOI:
10.1002/eap.2778
COBISS.SI-ID:
130503171
Datum objave v RUL:
29.03.2023
Število ogledov:
592
Število prenosov:
98
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Objavi na:
Gradivo je del revije
Naslov:
Ecological applications
Skrajšan naslov:
Ecol. appl.
Založnik:
Ecological Society of America, Wiley
ISSN:
1939-5582
COBISS.SI-ID:
4294310
Licence
Licenca:
CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:
http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:
To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Sekundarni jezik
Jezik:
Slovenski jezik
Ključne besede:
GPS klastri
,
GPS telemetrije
,
plenjenje
,
evrazijski ris
,
domače živali
,
škoda po divjadi
Projekti
Financer:
Drugi - Drug financer ali več financerjev
Program financ.:
Charity foundation from Liechtenstein
Financer:
FCT - Fundação para a Ciência e a Tecnologia, I.P.
Program financ.:
OE
Številka projekta:
SFRH/BD/144110/2019
Naslov:
Integrating multi-scale and multi-population analyses on the spatial and foraging ecology of the Eurasian lynx: a transboundary approach
Financer:
Drugi - Drug financer ali več financerjev
Program financ.:
Canton of Bern, Hunting inspectorate
Financer:
Drugi - Drug financer ali več financerjev
Program financ.:
Stotzer-Kästli-Stiftung
Financer:
Drugi - Drug financer ali več financerjev
Program financ.:
Zigerli-Hegi-Stiftung
Financer:
Drugi - Drug financer ali več financerjev
Program financ.:
Haldimann-Stiftung
Financer:
Drugi - Drug financer ali več financerjev
Program financ.:
Zürcher Tierschutz
Financer:
Drugi - Drug financer ali več financerjev
Program financ.:
Temperatio-Stiftung
Financer:
Drugi - Drug financer ali več financerjev
Program financ.:
Karl Mayer Stiftung
Financer:
Drugi - Drug financer ali več financerjev
Program financ.:
Stiftung Ormella
Financer:
Drugi - Drug financer ali več financerjev
Program financ.:
County Governor’s Office for Innlandet, Viken, Vestfold & Telemark, Trøndelag, Nordland, Troms & Finnmark County, Nature Protection Division
Financer:
Drugi - Drug financer ali več financerjev
Program financ.:
Miljødirektoratet
Financer:
Drugi - Drug financer ali več financerjev
Program financ.:
Norges Forskningsråd
Številka projekta:
251112
Financer:
Drugi - Drug financer ali več financerjev
Program financ.:
Norges Forskningsråd
Številka projekta:
281092
Financer:
Drugi - Drug financer ali več financerjev
Program financ.:
Norges Forskningsråd
Številka projekta:
160022/F40
Financer:
ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:
N1-0163
Naslov:
Vpogled v medvrstne in znotrajvrstne interakcije med prostoživečimi mačkami v Evropi in Afriki
Financer:
ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:
P4-0059
Naslov:
Gozd, gozdarstvo in obnovljivi gozdni viri
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