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      Unmanned aircraft systems as a new source of disturbance for wildlife: A systematic review

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          Abstract

          The use of small Unmanned Aircraft Systems (UAS; also known as “drones”) for professional and personal-leisure use is increasing enormously. UAS operate at low altitudes (<500 m) and in any terrain, thus they are susceptible to interact with local fauna, generating a new type of anthropogenic disturbance that has not been systematically evaluated. To address this gap, we performed a review of the existent literature about animals’ responses to UAS flights and conducted a pooled analysis of the data to determine the probability and intensity of the disturbance, and to identify the factors influencing animals’ reactions towards the small aircraft. We found that wildlife reactions depended on both the UAS attributes (flight pattern, engine type and size of aircraft) and the characteristics of animals themselves (type of animal, life-history stage and level of aggregation). Target-oriented flight patterns, larger UAS sizes, and fuel-powered (noisier) engines evoked the strongest reactions in wildlife. Animals during the non-breeding period and in large groups were more likely to show behavioral reactions to UAS, and birds are more prone to react than other taxa. We discuss the implications of these results in the context of wildlife disturbance and suggest guidelines for conservationists, users and manufacturers to minimize the impact of UAS. In addition, we propose that the legal framework needs to be adapted so that appropriate actions can be undertaken when wildlife is negatively affected by these emergent practices.

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          Most cited references49

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          Fear in animals: a meta-analysis and review of risk assessment.

          The amount of risk animals perceive in a given circumstance (i.e. their degree of 'fear') is a difficult motivational state to study. While many studies have used flight initiation distance as a proxy for fearfulness and examined the factors influencing the decision to flee, there is no general understanding of the relative importance of these factors. By identifying factors with large effect sizes, we can determine whether anti-predator strategies reduce fear, and we gain a unique perspective on the coevolution of predator and anti-predator behaviour. Based on an extensive review and formal meta-analysis, we found that predator traits that were associated with greater risk (speed, size, directness of approach), increased prey distance to refuge and experience with predators consistently amplified the perception of risk (in terms of flight initiation distance). While fish tolerated closer approach when in larger schools, other taxa had greater flight initiation distances when in larger groups. The presence of armoured and cryptic morphologies decreased perception of risk, but body temperature in lizards had no robust effect on flight initiation distance. We find that selection generally acts on prey to be sensitive to predator behaviour, as well as on prey to modify their behaviour and morphology.
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            A synthesis of two decades of research documenting the effects of noise on wildlife

            Global increases in environmental noise levels - arising from expansion of human populations, transportation networks, and resource extraction - have catalysed a recent surge of research into the effects of noise on wildlife. Synthesising a coherent understanding of the biological consequences of noise from this literature is challenging. Taxonomic groups vary in auditory capabilities. A wide range of noise sources and exposure levels occur, and many kinds of biological responses have been observed, ranging from individual behaviours to changes in ecological communities. Also, noise is one of several environmental effects generated by human activities, so researchers must contend with potentially confounding explanations for biological responses. Nonetheless, it is clear that noise presents diverse threats to species and ecosystems and salient patterns are emerging to help inform future natural resource-management decisions. We conducted a systematic and standardised review of the scientific literature published from 1990 to 2013 on the effects of anthropogenic noise on wildlife, including both terrestrial and aquatic studies. Research to date has concentrated predominantly on European and North American species that rely on vocal communication, with approximately two-thirds of the data set focussing on songbirds and marine mammals. The majority of studies documented effects from noise, including altered vocal behaviour to mitigate masking, reduced abundance in noisy habitats, changes in vigilance and foraging behaviour, and impacts on individual fitness and the structure of ecological communities. This literature survey shows that terrestrial wildlife responses begin at noise levels of approximately 40 dBA, and 20% of papers documented impacts below 50 dBA. Our analysis highlights the utility of existing scientific information concerning the effects of anthropogenic noise on wildlife for predicting potential outcomes of noise exposure and implementing meaningful mitigation measures. Future research directions that would support more comprehensive predictions regarding the magnitude and severity of noise impacts include: broadening taxonomic and geographical scope, exploring interacting stressors, conducting larger-scale studies, testing mitigation approaches, standardising reporting of acoustic metrics, and assessing the biological response to noise-source removal or mitigation. The broad volume of existing information concerning the effects of anthropogenic noise on wildlife offers a valuable resource to assist scientists, industry, and natural-resource managers in predicting potential outcomes of noise exposure.
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              Unmanned Aerial Vehicles (UAVs) for Surveying Marine Fauna: A Dugong Case Study

              Aerial surveys of marine mammals are routinely conducted to assess and monitor species’ habitat use and population status. In Australia, dugongs (Dugong dugon) are regularly surveyed and long-term datasets have formed the basis for defining habitat of high conservation value and risk assessments of human impacts. Unmanned aerial vehicles (UAVs) may facilitate more accurate, human-risk free, and cheaper aerial surveys. We undertook the first Australian UAV survey trial in Shark Bay, western Australia. We conducted seven flights of the ScanEagle UAV, mounted with a digital SLR camera payload. During each flight, ten transects covering a 1.3 km2 area frequently used by dugongs, were flown at 500, 750 and 1000 ft. Image (photograph) capture was controlled via the Ground Control Station and the capture rate was scheduled to achieve a prescribed 10% overlap between images along transect lines. Images were manually reviewed post hoc for animals and scored according to sun glitter, Beaufort Sea state and turbidity. We captured 6243 images, 627 containing dugongs. We also identified whales, dolphins, turtles and a range of other fauna. Of all possible dugong sightings, 95% (CI = 90%, 98%) were subjectively classed as ‘certain’ (unmistakably dugongs). Neither our dugong sighting rate, nor our ability to identify dugongs with certainty, were affected by UAV altitude. Turbidity was the only environmental variable significantly affecting the dugong sighting rate. Our results suggest that UAV systems may not be limited by sea state conditions in the same manner as sightings from manned surveys. The overlap between images proved valuable for detecting animals that were masked by sun glitter in the corners of images, and identifying animals initially captured at awkward body angles. This initial trial of a basic camera system has successfully demonstrated that the ScanEagle UAV has great potential as a tool for marine mammal aerial surveys.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                21 June 2017
                2017
                : 12
                : 6
                : e0178448
                Affiliations
                [1 ]Swiss Ornithological Institute, Sempach, Switzerland
                [2 ]Department of Evolutionary Ecology, Doñana Biological Station, CSIC, Seville, Spain
                [3 ]Departamento de Ciencias Naturales, Universidad Técnica Particular de Loja, San Cayetano Alto, Loja, Ecuador
                University of Lleida, SPAIN
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: MMP ZT.

                • Data curation: MMP NS ZT.

                • Formal analysis: ZT MMP.

                • Funding acquisition: MMP SJE JJN.

                • Investigation: MMP NS ZT.

                • Methodology: ZT MMP.

                • Project administration: SJE JJN MMP ZT.

                • Resources: JJN.

                • Software: ZT.

                • Supervision: JJN SJE TS.

                • Validation: ZT MMP.

                • Visualization: MMP ZT.

                • Writing – original draft: MMP SJE NS TS JJN ZT.

                • Writing – review & editing: MMP SJE NS TS JJN ZT.

                Author information
                http://orcid.org/0000-0002-0303-9360
                Article
                PONE-D-16-46774
                10.1371/journal.pone.0178448
                5479521
                28636611
                6cf95132-5847-4868-b697-23635f6344e2
                © 2017 Mulero-Pázmány et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 28 November 2016
                : 12 May 2017
                Page count
                Figures: 2, Tables: 0, Pages: 14
                Funding
                Funded by: Andalusia Government
                Award ID: P07-RNM-03246
                Award Recipient :
                Funded by: European Commission (BE)
                Award ID: 257649
                Award Recipient :
                Part of this study was conducted within the Projects Aeromab, (Andalusia Government, Project for Excellence, 2007, P07-RNM-03246) and Planet (European Commission 7th FP Grant Agreement 257649) granted to JJN, Doñana Biological Station, CSIC. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Physiology
                Biological Locomotion
                Flight (Biology)
                Bird Flight
                Medicine and Health Sciences
                Physiology
                Biological Locomotion
                Flight (Biology)
                Bird Flight
                Biology and Life Sciences
                Zoology
                Ornithology
                Bird Flight
                Biology and Life Sciences
                Organisms
                Animals
                Animal Types
                Wildlife
                Biology and Life Sciences
                Zoology
                Animal Types
                Wildlife
                Engineering and Technology
                Transportation
                Aircraft
                Biology and Life Sciences
                Organisms
                Animals
                Vertebrates
                Amniotes
                Birds
                Engineering and Technology
                Mechanical Engineering
                Engines
                Biology and Life Sciences
                Physiology
                Biological Locomotion
                Flight (Biology)
                Medicine and Health Sciences
                Physiology
                Biological Locomotion
                Flight (Biology)
                Biology and Life Sciences
                Behavior
                Animal Behavior
                Biology and Life Sciences
                Zoology
                Animal Behavior
                Research and Analysis Methods
                Database and Informatics Methods
                Database Searching
                Custom metadata
                Data are available on figshare at https://doi.org/10.6084/m9.figshare.5024894.

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