Cost-effective accurate estimates of adult chum salmon, Oncorhynchus keta, abundance in a Japanese river using a radio-controlled helicopter

Kudo, Hideaki; Koshino, Yousuke; Eto, Akihiro; Ichimura, Masaki; Kaeriyama, Masahide

doi:10.1016/j.fishres.2011.12.010

Cited by 29 publications

(34 citation statements)

References 19 publications

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“…The annual cost of UAS application exceeded the annual cost of a manned helicopter survey by $6817, but that cost differential cannot be applied across all studies. As a case in point, the estimated cost of counting Chum salmon within a small study area from a helicopter was about seven times higher than the cost observed for UAS application (Kudo et al 2012). Collecting data with a UAS also required federal authorization that was very difficult to understand and obtain during the 2012-2014 test years.…”

Section: Discussionmentioning

confidence: 97%

“…The large body of wildlife literature reviewed by Linchant et al (2015) showed that counts made with a UAS are not always more accurate than counts made by other means (e.g., ground counts) as there was large variation in the accuracy comparisons reported. With regard to fish, Kudo et al (2012) used a UAS to count Chum salmon about once a week for 8 weeks and also seined and counted the fish weekly from the study area for comparison. The UAS count was lower than the seine count during 7 of the 8 weeks, but higher during 1 week.…”

Section: Discussionmentioning

confidence: 99%

“…Efforts to pair accurate count data collected with an unmanned aircraft with statistical methods are undoubtedly increasing, but the peer-reviewed literature on the topic is presently sparse (Linchant et al 2015). Kudo et al (2012) regressed weekly UAS counts of Chum salmon against the corresponding weekly seine counts. The two sets of weekly counts were highly correlated (r 2 = 0.93; P < 0.0001), and it was concluded that future abundance estimates could be made by inputting UAS count data into the regression equation.…”

Section: Discussionmentioning

confidence: 99%

“…Compared to wildlife, the peer-reviewed literature on the use of UASs to count fish is scant, and the counts were made within relatively small study areas. For example, Kudo et al (2012) evaluated the potential for replacing manned aircraft with a UAS to count Chum salmon (Oncorhynchus keta) in a 600 m section of a small stream in Japan. Whitehead et al (2014) described the use of a UAS to count individual Sockeye salmon (Oncorhynchus nerka) within two major spawning sites located along a ≈2000 m stretch of river in British Columbia.…”

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confidence: 99%

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Testing unmanned aircraft systems for salmon spawning surveys

Groves¹,

Alcorn²,

Wiest

et al. 2017

FACETS

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Unmanned aircraft systems (UASs) were tested for counting Chinook salmon (Oncorhynchus tshawytscha) redds as a more accurate, safer alternative to manned helicopter flights. Counting redds from the helicopter was less expensive and time consuming, but of the total redds counted at selected sites with a UAS, an average (± SD) of only 77% ± 14% was counted from the helicopter. A river-wide census of redds was not possible with a UAS because the study area was too large for the single field crew to survey. Simulation analyses were used to compare stratified random sampling (STRS) and sampling proportional to size (PPS) for estimating annual total redd counts from data collected with a UAS. The STRS estimates were more accurate and precise, whereas the PPS estimates, though biased, had 95% CIs that included the observed redd count more frequently. We strongly recommend that researchers conduct simulation analyses to evaluate alternative survey sampling methods if they are considering replacing census counts made from manned aircraft with counts estimated from data collected with a UAS. We conclude that UAS application reduces the risk inherent to manned aircraft flights, but the reduction in risk can come at the cost of estimates of population parameters that can sometimes be inaccurate and lack 95% CI coverage.

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Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Testing unmanned aircraft systems for salmon spawning surveys

Groves¹,

Alcorn²,

Wiest

et al. 2017

FACETS

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show abstract

“…Spawning surveys for Chum Salmon O. keta and Sockeye Salmon O. nerka have been successfully conducted (Kudo et al. ; Whitehead et al. ).…”

mentioning

confidence: 99%

Use of Drones in Fishery Science

et al. 2019

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The use of unmanned aircraft systems (UASs), commonly referred to as drones, has rapidly expanded across many scientific disciplines. Like other fields, fisheries research would benefit significantly from broader use of this emerging technology but has lagged behind other disciplines. Like the implementation of satellite and aircraft‐based remote sensing technology in previous decades brought a greater understanding of large‐scale spatial patterns and processes, UAS technology has the potential to put those tools in the hands of individual researchers, allowing implementation at finer spatial and temporal scales for a fraction of the cost. Our goal is to provide a “how‐to” for fisheries researchers interested in using UAS technology. We outline the necessary steps for any UAS project from choosing the appropriate platform and sensors to data acquisition and analysis. We also present the current ways in which UASs are being used in a fisheries research context as well as potential future research directions.

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Evaluating behavioral responses of nesting lesser snow geese to unmanned aircraft surveys

Barnas

Newman

Felege

et al. 2017

Ecology and Evolution

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Unmanned aircraft systems (UAS) are relatively new technologies gaining popularity among wildlife biologists. As with any new tool in wildlife science, operating protocols must be developed through rigorous protocol testing. Few studies have been conducted that quantify the impacts UAS may have on unhabituated individuals in the wild using standard aerial survey protocols. We evaluated impacts of unmanned surveys by measuring UAS‐induced behavioral responses during the nesting phase of lesser snow geese (Anser caerulescens caerulescens) in Wapusk National Park, Manitoba, Canada. We conducted surveys with a fixed‐wing Trimble UX5 and monitored behavioral changes via discreet surveillance cameras at 25 nests. Days with UAS surveys resulted in decreased resting and increased nest maintenance, low scanning, high scanning, head‐cocking and off‐nest behaviors when compared to days without UAS surveys. In the group of birds flown over, head‐cocking for overhead vigilance was rarely seen prior to launch or after landing (mean estimates 0.03% and 0.02%, respectively) but increased to 0.56% of the time when the aircraft was flying overhead suggesting that birds were able to detect the aircraft during flight. Neither UAS survey altitude nor launch distance alone in this study was strong predictors of nesting behaviors, although our flight altitudes (≥75 m above ground level) were much higher than previously published behavioral studies. Synthesis and applications: The diversity of UAS models makes generalizations on behavioral impacts difficult, and we caution that researchers should design UAS studies with knowledge that some minimal disturbance is likely to occur. We recommend flight designs take potential behavioral impacts into account by increasing survey altitude where data quality requirements permit. Such flight designs should consider a priori knowledge of focal species’ behavioral characteristics. Research is needed to determine whether any such disturbance is a result of visual or auditory stimuli.

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Cost-effective accurate estimates of adult chum salmon, Oncorhynchus keta, abundance in a Japanese river using a radio-controlled helicopter

Cited by 29 publications

References 19 publications

Testing unmanned aircraft systems for salmon spawning surveys

Testing unmanned aircraft systems for salmon spawning surveys

Use of Drones in Fishery Science

Evaluating behavioral responses of nesting lesser snow geese to unmanned aircraft surveys

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