Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891073780> ?p ?o ?g. }
- W2891073780 abstract "From our traditional boat-based horizontal perspective, marine megafauna behavioral observations are typically limited to animal surfacings. Achieving an aerial perspective has been restricted to brief helicopter or airplane based observations that are costly, noisy and risky. The emergence of commercial small unmanned aerial systems (UAS) has significantly reduced these constraints, and provide a stable, relatively quiet and inexpensive platform that enables replicate observations for prolonged periods with minimal disturbance. The potential of UAS for behavioral observation appears immense, yet quantitative methods of video analysis and proof of utility as an observational tool are required. We use UAS footage of gray whales foraging in coastal waters of Oregon, USA to develop analysis methods, assess behavioral impacts caused by UAS, determine the change in observation time enabled by UAS, and describe unique behaviors observed via UAS. Boat-based behavioral observations from 53 gray whale sightings between May and October 2016 were compared to behavioral data extracted from video analysis of UAS flights during those sightings. We used a DJI Phantom 3 Pro or 4 Advanced, recorded video from an altitude ≥25m, and detected no behavioral response by whales to the UAS. Two experienced whale ethologists conducted UAS video behavioral analysis, including tabulation of whale behavior states and events, and whale surface time and whale visible time (total time the whale was visible including underwater). UAS provided three times more observational capacity than boat-based observations alone (300 vs. 103 minutes). When observation time is accounted for, UAS data provided greater observations of all primary behavior states (travel, forage, social, rest) relative to boat-based data, especially forage, which increased by three times. Furthermore, UAS enable documentation of multiple novel gray whale foraging tactics (e.g., headstands: n=58; side-swimming: n=17; jaw snapping and flexing: n= 10) and 33 social events (nursing, pair coordinated surfacings) not identified in the field. This study demonstrates the significant added value of UAS to marine megafauna behavior and ecological studies. With technological advances, robust study designs, and effective analytical tools, we foresee increased UAS applications to marine megafauna studies to elucidate foraging strategies, habitat associations, social patterns, and response to human disturbance." @default.
- W2891073780 created "2018-09-27" @default.
- W2891073780 creator A5033356620 @default.
- W2891073780 creator A5071917133 @default.
- W2891073780 creator A5073068013 @default.
- W2891073780 creator A5081817937 @default.
- W2891073780 date "2018-09-10" @default.
- W2891073780 modified "2023-10-16" @default.
- W2891073780 title "Drone Up! Quantifying Whale Behavior From a New Perspective Improves Observational Capacity" @default.
- W2891073780 cites W1728600603 @default.
- W2891073780 cites W1938808024 @default.
- W2891073780 cites W1970628226 @default.
- W2891073780 cites W1978918804 @default.
- W2891073780 cites W1985125129 @default.
- W2891073780 cites W2004608471 @default.
- W2891073780 cites W2006404343 @default.
- W2891073780 cites W2010408121 @default.
- W2891073780 cites W2027682180 @default.
- W2891073780 cites W2029490769 @default.
- W2891073780 cites W2031519313 @default.
- W2891073780 cites W2051785999 @default.
- W2891073780 cites W2052987892 @default.
- W2891073780 cites W2078118807 @default.
- W2891073780 cites W2082203830 @default.
- W2891073780 cites W2083383650 @default.
- W2891073780 cites W2086964469 @default.
- W2891073780 cites W2087358814 @default.
- W2891073780 cites W2089464065 @default.
- W2891073780 cites W2089505447 @default.
- W2891073780 cites W2096052213 @default.
- W2891073780 cites W2111664716 @default.
- W2891073780 cites W2113024946 @default.
- W2891073780 cites W2117654162 @default.
- W2891073780 cites W2120864004 @default.
- W2891073780 cites W2122729664 @default.
- W2891073780 cites W2145805460 @default.
- W2891073780 cites W2161424301 @default.
- W2891073780 cites W2174798641 @default.
- W2891073780 cites W2258320707 @default.
- W2891073780 cites W2294280682 @default.
- W2891073780 cites W2315611807 @default.
- W2891073780 cites W2345420577 @default.
- W2891073780 cites W2400053117 @default.
- W2891073780 cites W2516901710 @default.
- W2891073780 cites W2529751299 @default.
- W2891073780 cites W2563870243 @default.
- W2891073780 cites W2566425472 @default.
- W2891073780 cites W2586961018 @default.
- W2891073780 cites W2614175492 @default.
- W2891073780 cites W2617495507 @default.
- W2891073780 cites W2736115910 @default.
- W2891073780 cites W2744968824 @default.
- W2891073780 cites W2749368671 @default.
- W2891073780 cites W2757469172 @default.
- W2891073780 cites W2768276257 @default.
- W2891073780 cites W2769991918 @default.
- W2891073780 cites W2772204963 @default.
- W2891073780 cites W2774636876 @default.
- W2891073780 cites W2780488928 @default.
- W2891073780 cites W2789355279 @default.
- W2891073780 cites W2790018084 @default.
- W2891073780 cites W2791915715 @default.
- W2891073780 cites W2795458411 @default.
- W2891073780 cites W2797114992 @default.
- W2891073780 cites W2807129143 @default.
- W2891073780 cites W2877107988 @default.
- W2891073780 doi "https://doi.org/10.3389/fmars.2018.00319" @default.
- W2891073780 hasPublicationYear "2018" @default.
- W2891073780 type Work @default.
- W2891073780 sameAs 2891073780 @default.
- W2891073780 citedByCount "84" @default.
- W2891073780 countsByYear W28910737802019 @default.
- W2891073780 countsByYear W28910737802020 @default.
- W2891073780 countsByYear W28910737802021 @default.
- W2891073780 countsByYear W28910737802022 @default.
- W2891073780 countsByYear W28910737802023 @default.
- W2891073780 crossrefType "journal-article" @default.
- W2891073780 hasAuthorship W2891073780A5033356620 @default.
- W2891073780 hasAuthorship W2891073780A5071917133 @default.
- W2891073780 hasAuthorship W2891073780A5073068013 @default.
- W2891073780 hasAuthorship W2891073780A5081817937 @default.
- W2891073780 hasBestOaLocation W28910737801 @default.
- W2891073780 hasConcept C105795698 @default.
- W2891073780 hasConcept C165287380 @default.
- W2891073780 hasConcept C166957645 @default.
- W2891073780 hasConcept C176262533 @default.
- W2891073780 hasConcept C185933670 @default.
- W2891073780 hasConcept C18903297 @default.
- W2891073780 hasConcept C205649164 @default.
- W2891073780 hasConcept C2777704720 @default.
- W2891073780 hasConcept C2781162219 @default.
- W2891073780 hasConcept C2988419192 @default.
- W2891073780 hasConcept C33923547 @default.
- W2891073780 hasConcept C39432304 @default.
- W2891073780 hasConcept C505870484 @default.
- W2891073780 hasConcept C53570757 @default.
- W2891073780 hasConcept C62649853 @default.
- W2891073780 hasConcept C86803240 @default.
- W2891073780 hasConcept C90856448 @default.
- W2891073780 hasConcept C91067096 @default.