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78 results for “diel activity”
Fig. 2 in Diel flight activity and habitat preference of dung beetles (Coleoptera: Scarabaeidae) in Peninsular Malaysia
Fig. 2. Mean number of (a) individuals; (b) species; and (c) biomass of dung beetles collected per hour during daytime (blank bar) and at night (solid bar) in the forest and open land. Error bars indicate standard errors. nsP≥0.05, *P<0.05, **P<0.01 (Kruskal-Wallis test).
Data from: Human avoidance, selection for darkness and prey activity explain wolf diel activity in a highly cultivated landscape
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Dataset and code for the study 'Heatwave effects on diel rhythms of insect activity: a comparison across habitats'
<p>Contained here are the csv dataset and R analysis code script underlying the report <em>Heatwave effects on diel rhythms of insect activity: a comparison across habitat</em>s. See <strong>metadata.pdf</strong> for details on the methodology, dataset and script.</p> <p> </p> <h3><strong>Version history</strong></h3> <table> <tbody> <tr> <td><strong>Version</strong></td> <td><strong>Date uploaded</strong></td> <td><strong>Changes made</strong></td> </tr> <tr> <td>v3</td> <td>9th March 2025</td> <td>Edited <strong>insect_script.R </strong>– for all plots with Wald 95% confidence intervals, added dashed lines to demarcate the edges of the shaded bands showing the confidence intervals, to make them more visible for colourblind readers.</td> </tr> <tr> <td>v2</td> <td>2nd March 2025</td> <td> <p>Edited <strong>metadata.pdf</strong> - added citation for key used for insect identification.</p> </td> </tr> <tr> <td>v1</td> <td>31st October 2024</td> <td>[Original upload]</td> </tr> </tbody> </table>
Fig. 2 in Observation Of Eurasian Otter'S Diel Activity Using Camera Trapping In Central-Eastern Romania
Fig. 2. General diel activity of otters in the study area.
Fig. 1 in Observation Of Eurasian Otter'S Diel Activity Using Camera Trapping In Central-Eastern Romania
Fig. 1. The study area.
Fig. 4 in Observation Of Eurasian Otter'S Diel Activity Using Camera Trapping In Central-Eastern Romania
Fig. 4. Otter recordings, correlated with local time and day-night graph.
Data from: Empirically testing the influence of light regime on diel activity patterns in a marine predator reveals complex interacting factors shaping behaviour
<p>Diel cycles in marine predator diving behaviour centre around the light-mediated diel vertical migration (DVM) of prey, and are considered critical for optimizing foraging and limiting competition across global seascapes. Yet our understanding of predator diel behaviour is based primarily on examining relative depth usage between constant day/night cycles with no formal investigation of how varying light regimes interact with abiotic factors to shape diel activity. The extreme seasonal light regimes (midnight sun, polar night, day/night cycle) in the Arctic provide a unique natural experimental setting to empirically investigate the occurrence and intensity of diel behaviour in marine predators relative to changing light levels while concomitantly assessing interacting abiotic factors. Depth time series data from satellite-linked tags deployed on six belugas for up to 12 months were used to quantify diel behaviour by calculating dissimilarity in time-at-depth between periods of low and high solar altitude on each day. Generalized additive mixed effects models were used to examine the influence of hours of daylight across extreme light cycles, coupled with bathymetry and sea ice concentration; focal diel patterns were further examined relative to the thermal structure of the water column. As predicted, belugas exhibited cathemerality during the midnight sun, and initiated diel behaviour with the onset of the fall day/night cycle, with a marked increase in its intensity with the progression to equal day/night length. Occurrence of diel patterns, however, was complex; ceasing in regions with seafloor depths < 700 m, and occurring with greatest intensity when the water column was thermally homogeneous within the upper 150 m. Through empirical investigation, this study demonstrates that the onset of day/night light cycles and presumably associated prey DVM can modulate predator diel dive behaviour under certain circumstances, but highlights how the complex interaction of abiotic factors with light regime shape dynamic spatiotemporal patterns. These findings, building on a body of recent work, emphasize that the traditional view of the ubiquitous occurrence of diel behaviour tied to DVM at the base of the food web oversimplifies vertical predator-prey interactions, identifying the need for more structured investigation. </p>
Fig. S1 in Ad-hoc devised phototraps unravel Cerambyx miles diel activity in the wild (Coleoptera: Cerambycidae)
Fig. S1 – Male (left) and female (right) specimens of Cerambyx miles.
Fig. 1 in Diel flight activity patterns of the red palm weevil (Coleoptera: Curculionidae) as monitored by smart traps
Fig. 1. External (A) and internal (B) sections of the ST.
Fig. 2 in Diel flight activity patterns of the red palm weevil (Coleoptera: Curculionidae) as monitored by smart traps
Fig. 2. Daily mean numbers of captured red palm weevils in STs and CTs.
Fig. 1 in Diel flight activity and habitat preference of dung beetles (Coleoptera: Scarabaeidae) in Peninsular Malaysia
Fig. 1. Location of the pitfall traps (black circle) in the study site.
Data from: Zoning has little impact on the seasonal diel activity and distribution patterns of wild boar (Sus scrofa) in an UNESCO Biosphere Reserve
<p><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span>Understanding the spatio‐temporal distribution of ungulates is important for effective wildlife management, particularly for economically and ecologically important species such as wild boar (</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span><em>Sus scrofa</em><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span>). Wild boars are generally considered to exhibit substantial behavioral flexibility, but it is unclear how their behavior varies across different conservation management regimes and levels of human pressure. To analyze if and how wild boars adjust their space use or their temporal niche, we surveyed wild boars across the core and buffer zones (collectively referred to as the conservation zone) and the transition zone of a biosphere reserve. These zones represent low and high levels of human pressure, respectively. Specifically, we employed a network of 53 camera traps distributed in the Schaalsee UNESCO Biosphere Reserve over a 14‐month period (19,062 trap nights) and estimated circadian activity patterns, diel activity levels, and occupancy of wild boars in both zones. To account for differences in environmental conditions and day length, we estimated these parameters separately for seven 2‐month periods. Our results showed that the wild boars were primarily nocturnal, with diurnal activity occurring dominantly during the summer months. The diel activity patterns in the two zones were very similar overall, although the wild boars were slightly less active in the transition zone than in the conservation zone. Diel activity levels also varied seasonally, ranging from 7.5 to 11.0</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span> <span><span><span><span><span><span><span><span><span><span><span><span><span><span><span>h day</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span><sup>−1</sup><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span>, and scaled positively with the length of the night (</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span><em>R</em><sup>2</sup> <span><span><span><span><span><span><span><span><span><span><span><span><span><span><span>=</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span> <span><span><span><span><span><span><span><span><span><span><span><span><span><span><span>0.66–0.67). Seasonal occupancy estimates were exceptionally high (point estimates ranged from 0.65 to 0.99) and similar across zones, suggesting that the wild boars used most of the biosphere reserve. Overall, this result suggests that different conservation management regimes (in this case, the zoning of a biosphere reserve) have little impact on wild boar behavior. This finding is relevant for wildlife management in protected areas where possibly high wild boar densities could interfere with conservation goals within these areas and those of agricultural land use in their vicinity.</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>
Estimated densities of activity from: Characterising diel activity patterns to design conservation measures: Case study of European bat species
<p>Estimated densities of activity calculated in <em>"Characterising diel activity patterns to design conservation measures: case study of European bat species"</em> (see Materials and Methods for more information on these calculations).</p> <p>The files named "<em>densitiyAllYear</em>" correspond to the estimated densities based on our entire dataset.</p> <p>The files named "<em>densitiySpring</em>" correspond to the estimated densities based on a subset of our dataset comprising only monitoring carried out between 1 March and 21 June.</p> <p>The files named "<em>densitiySummer</em>" correspond to the estimated densities based on a subset of our dataset comprising only monitoring carried out between 22 June and 21 August.</p> <p>The files named "<em>densitiyAutumn</em>" correspond to the estimated densities based on a subset of our dataset comprising only monitoring carried out between 22 August and 31 October.</p> <p>The first column of each file (<em>"PercentageNight"</em>) corresponds to the percentage of the night elapsed (0 % = sunset time, 100 % = sunrise time), the second to the estimated activity density (<em>"Density"</em>).</p>
Data from: Dynamic shifts in predator diel activity patterns across landscapes and threat levels
<p>Understanding the constraints dominant predators impose on subordinate species is important for predicting ecosystem dynamics and anticipating outcomes of predator management. Subordinate predators may avoid dominant predators in time or space, making it difficult to quantify antipredator behaviours unless joint spatiotemporal analyses are used. Here, we tested whether an invasive dominant predator (red fox <em>Vulpes vulpes</em>) alters the spatiotemporal activity of an invasive subordinate predator (feral cat <em>Felis catus</em>). We collated records of both species from 3,667 camera-traps deployed experimentally across two regions of south-eastern Australia with simplified predator guilds. Foxes were poison-baited in some landscapes within each region. We used generalised additive models to quantify changes in predator spatiotemporal activity across geographic space, vegetation types, human footprint and (artificially manipulated) gradients of dominant predator activity. Foxes and cats had similar diel activity patterns when averaged across all sites, however there was important differentiation at a finer scale cats did not reduce their spatial activity but shifted diel patterns when localised fox activity was high. Cats were crepuscular on average. However, across dry vegetation types of both regions (where foxes were nocturnal), cats shifted to diurnal behaviour with increasing fox activity. In contrast, fox activity was relatively consistent throughout the daily cycle in the wet forest; here cats avoided dawn when fox activity was high. Changes in cat diel activity patterns may facilitate spatial coexistence between these two invasive predators, potentially shifting feral cat impacts onto different native prey. It is well-appreciated that predator activity varies spatially and fluctuates throughout the daily cycle. However, our study demonstrates that diel activity patterns also vary across space, likely mediated by both landscape-context and fear. Dominant predator avoidance in time appears to be spatially dynamic a key nuance which is overlooked when simply comparing the average activity overlap between two species.</p>
Data from: Dynamic shifts in predator diel activity patterns across landscapes and threat levels
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Data from: Empirically testing the influence of light regime on diel activity patterns in a marine predator reveals complex interacting factors shaping behaviour
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Data from: Diel rhythmicity of activity and corticosterone metabolites in Arctic barnacle geese during breeding
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Data from: Diel predator activity drives a dynamic landscape of fear
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Data from: Zoning has little impact on the seasonal diel activity and distribution patterns of wild boar (Sus scrofa) in an UNESCO Biosphere Reserve
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The impact of gigafire on vegetation structure, terrestrial vertebrate abundance, and diel activity
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