PMID- 36681811
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230201
IS  - 2051-3933 (Print)
IS  - 2051-3933 (Electronic)
IS  - 2051-3933 (Linking)
VI  - 11
IP  - 1
DP  - 2023 Jan 21
TI  - Track and dive-based movement metrics do not predict the number of prey 
      encountered by a marine predator.
PG  - 3
LID - 10.1186/s40462-022-00361-2 [doi]
LID - 3
AB  - BACKGROUND: Studying animal movement in the context of the optimal foraging 
      theory has led to the development of simple movement metrics for inferring 
      feeding activity. Yet, the predictive capacity of these metrics in natural 
      environments has been given little attention, raising serious questions of the 
      validity of these metrics. The aim of this study is to test whether simple 
      continuous movement metrics predict feeding intensity in a marine predator, the 
      southern elephant seal (SES; Mirounga leonine), and investigate potential factors 
      influencing the predictive capacity of these metrics. METHODS: We equipped 21 
      female SES from the Kerguelen Archipelago with loggers and recorded their 
      movements during post-breeding foraging trips at sea. From accelerometry, we 
      estimated the number of prey encounter events (nPEE) and used it as a reference 
      for feeding intensity. We also extracted several track- and dive-based movement 
      metrics and evaluated how well they explain and predict the variance in nPEE. We 
      conducted our analysis at two temporal scales (dive and day), with two dive 
      profile resolutions (high at 1 Hz and low with five dive segments), and two types 
      of models (linear models and regression trees). RESULTS: We found that none of 
      the movement metrics predict nPEE with satisfactory power. The vertical transit 
      rates (primarily the ascent rate) during dives had the best predictive 
      performance among all metrics. Dive metrics performed better than track metrics 
      and all metrics performed on average better at the scale of days than the scale 
      of dives. However, the performance of the models at the scale of days showed 
      higher variability among individuals suggesting distinct foraging tactics. 
      Dive-based metrics performed better when computed from high-resolution dive 
      profiles than low-resolution dive profiles. Finally, regression trees produced 
      more accurate predictions than linear models. CONCLUSIONS: Our study reveals that 
      simple movement metrics do not predict feeding activity in free-ranging marine 
      predators. This could emerge from differences between individuals, temporal 
      scales, and the data resolution used, among many other factors. We conclude that 
      these simple metrics should be avoided or carefully tested a priori with the 
      studied species and the ecological context to account for significant influencing 
      factors.
CI  - (c) 2023. The Author(s).
FAU - Allegue, Hassen
AU  - Allegue H
AUID- ORCID: 0000-0001-9357-9151
AD  - Departement des Sciences Biologiques, Universite du Quebec a Montreal, Montreal, 
      QC, Canada. h.all@disroot.org.
FAU - Reale, Denis
AU  - Reale D
AUID- ORCID: 0000-0002-0419-7125
AD  - Departement des Sciences Biologiques, Universite du Quebec a Montreal, Montreal, 
      QC, Canada.
FAU - Picard, Baptiste
AU  - Picard B
AUID- ORCID: 0000-0001-9565-9446
AD  - Centre d'Etudes Biologiques de Chize, UMR7372 CNRS-La Rochelle Universite, 
      Villiers en Bois, France.
FAU - Guinet, Christophe
AU  - Guinet C
AUID- ORCID: 0000-0003-2481-6947
AD  - Centre d'Etudes Biologiques de Chize, UMR7372 CNRS-La Rochelle Universite, 
      Villiers en Bois, France.
LA  - eng
PT  - Journal Article
DEP - 20230121
PL  - England
TA  - Mov Ecol
JT  - Movement ecology
JID - 101635009
PMC - PMC9862577
OTO - NOTNLM
OT  - Accelerometry
OT  - Area-restricted search
OT  - Diving behavior
OT  - Foraging behavior
OT  - Marine predator
OT  - Prey encounter events
COIS- The authors declare that they have no competing of interest concerning the 
      content of the manuscript.
EDAT- 2023/01/22 06:00
MHDA- 2023/01/22 06:01
PMCR- 2023/01/21
CRDT- 2023/01/21 23:24
PHST- 2022/03/18 00:00 [received]
PHST- 2022/12/17 00:00 [accepted]
PHST- 2023/01/21 23:24 [entrez]
PHST- 2023/01/22 06:00 [pubmed]
PHST- 2023/01/22 06:01 [medline]
PHST- 2023/01/21 00:00 [pmc-release]
AID - 10.1186/s40462-022-00361-2 [pii]
AID - 361 [pii]
AID - 10.1186/s40462-022-00361-2 [doi]
PST - epublish
SO  - Mov Ecol. 2023 Jan 21;11(1):3. doi: 10.1186/s40462-022-00361-2.