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112 results for “predator ecology”

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zenodo40/100

Figure 1 in Whale killers: Prevalence and ecological implications of killer whale predation on humpback whale calves off Western Australia

Figure 1. Location of our study area off Ningaloo Reef, Western Australia, showing locations and outcomes of interactions between humpback whales and killer whales. Inset in upper right shows area where our survey effort was concentrated in 2013 (see Methods).

opencc-by-4.0Nov 2014View details →
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Figure 4. A in Whale killers: Prevalence and ecological implications of killer whale predation on humpback whale calves off Western Australia

Figure 4. A humpback mother lifts her calf out of the water on her back shortly before it was killed by attacking killer whales (#9). The killer whale on the far left is carrying the carcass of another humpback calf taken several minutes earlier (#8). Photo: S. Wenngren.

opencc-by-4.0Nov 2014View details →
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Figure 2 in Whale killers: Prevalence and ecological implications of killer whale predation on humpback whale calves off Western Australia

Figure 2. Movements of a satellite-tagged killer whale that we tracked for 22 d in July/ August 2013 off Western Australia. The track was estimated by fitting a continuous-time correlated random walk model (Johnson et al. 2008) to 452 locations calculated by the Argos satellite system (http://www.argos-system.org) to estimate locations and velocities at hourly intervals. Colored circles represent the estimated displacement velocity for each predicted location (speed in km/h; green is slower, red is faster), with speed classified into one of four velocity intervals, determined by the Jenks algorithm for natural breaks (Jenks 1967).

opencc-by-4.0Nov 2014View details →
dryad40/100

Data from: Dynamic balancing of risks and rewards in a large herbivore: Further extending predator-prey concepts to road ecology

<p>Animal behavior is shaped by the ability to identify risks and profitably balance the levels of risks encountered with the payoffs experienced. Anthropogenic disturbances like roads generate novel risks and opportunities that wildlife must accurately perceive and respond to. Basic concepts in predator-prey ecology are often used to understand responses of animals to roads (e.g., increased vigilance, selection for cover in their vicinity). However, prey often display complex behaviors such as modulating space use given varying risks and rewards, and it is unclear if such dynamic balancing is used by animals in the context of road crossings.</p> <p>We tested whether animals dynamically balance risks and rewards relative to roads using extensive field -based and GPS collar data from elk in Yoho National Park (British Columbia, Canada) where a major highway completely bisects their range during most of the year.</p> <p>We analyzed elk behavior by combining hidden Markov movement models with a step-selection function framework. Rewards were indexed by a dynamic map of available forage biomass and risks were indexed by road crossings and traffic volumes.</p> <p>We found that elk generally selected intermediate and high forage biomass and avoided crossing the road. Most of the time, elk modulated their behavior given varying risks and rewards. When crossing the highway compared with not crossing, elk selected for greater forage biomass and this selection was stronger as the number of highway crossings increased. However, with traffic volume, elk only balanced foraging rewards when they crossed a single time during a travel sequence.</p> <p>Using a road ecology system, we empirically tested an important component of predator-prey ecology – the ability to dynamically modulate behavior in response to varying levels of risks and rewards. Such a test articulates how decision-making processes that consider the spatiotemporal variation in risks and rewards allow animals to successfully and profitably navigate busy roads. Applying well-developed concepts in predator-prey theory helps understand how animals respond to anthropogenic disturbances and anticipate the adaptive capacity for individuals and populations to adjust to rapidly changing environments.</p>

opencc-zeroJul 2023View details →
dryad40/100

Data from: Dynamic balancing of risks and rewards in a large herbivore: Further extending predator-prey concepts to road ecology

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publicJul 2023View details →
dryad40/100

Code from: Spatial resource heterogeneity stabilizes local and regional predator-prey dynamics in ecologically-realistic networks

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publicAug 2025View details →
dryad36/100

Data from: Ecological speciation in European whitefish is driven by a large‐gaped predator

<p>Lake‐dwelling fish that form species pairs/flocks characterized by body size divergence are important model systems for speciation research. Although several sources of divergent selection have been identified in these systems, their importance for driving the speciation process remains elusive. A major problem is that in retrospect, we cannot distinguish selection pressures that initiated divergence from those acting later in the process. To address this issue, we studied the initial stages of speciation in European whitefish (<i>Coregonus lavaretus</i>) using data from 358 populations of varying age (26–10,000 years). We find that whitefish speciation is driven by a large‐growing predator, the northern pike (<i>Esox lucius</i>). Pike initiates divergence by causing a largely plastic differentiation into benthic giants and pelagic dwarfs: ecotypes that will subsequently develop partial reproductive isolation and heritable differences in gill raker number. Using an eco‐evolutionary model, we demonstrate how pike's habitat specificity and large gape size are critical for imposing a between‐habitat trade‐off, causing prey to mature in a safer place or at a safer size. Thereby, we propose a novel mechanism for how predators may cause dwarf/giant speciation in lake‐dwelling fish species.</p>

opencc-zeroMay 2020View details →
dryad36/100

Data from: The ecology and evolution of seed predation by Darwin's finches on Tribulus cistoides on the Galápagos Islands

Predator-prey interactions play a key role in the evolution of species traits through antagonistic coevolutionary arms-races. The evolution of beak morphology in the Darwin's finches in response to competition for seed resources is a classic example of evolution by natural selection. The seeds of Tribulus cistoides are an important food source for the largest ground finch species (Geospiza fortis, G. magnirostris, and G. conirostris) in dry months, and the hard spiny morphology of the fruits are a potent agent of selection that drives contemporary evolutionary change in finch beak morphology. Although the effects of these interaction on finches are well known, how seed predation affects the ecology and evolution of the plants is poorly understood. Here we examine whether seed predation by Darwin's finches affects the ecology and evolution of T. cistoides. We ask whether the intensity of seed predation and the strength of natural selection by finches on fruit defense traits varies among populations, islands, years, or with varying finch community composition (i.e., the presence/absence of the largest beaked species, which feed on T. cistoides most easily). We then further test whether T. cistoides fruit defenses have diverged among islands in response to spatial variation in finch communities. We addressed these questions by examining seed predation by finches in 30 populations of T. cistoides over three years. Our study reveals three key results. First, Darwin's finches strongly influence T. cistoides seed survival, whereby seed predation varies with differences in finch community composition among islands and in response to inter-annual fluctuations in precipitation. Second, finches impose phenotypic selection on T. cistoides fruit morphology, whereby smaller and harder fruits with longer or more spines exhibited higher seed survival. Variation in finch community composition and precipitation also explains variation in phenotypic selection on fruit defense traits. Third, variation in the number of spines on fruits among islands is consistent with divergent phenotypic selection imposed by variation in finch community composition among islands. These results suggest that Darwin's finches and T. cistoides are experiencing an ongoing coevolutionary arms-race, and that the strength of this coevolution varies in space and time.

opencc-zeroJan 2020View details →
dryad36/100

Data from: Will like replace like? linking thermal performance to ecological function across predator and herbivore populations

The inability of species to adapt to changing climate may cause ecological communities to disassemble and lose ecological functioning. However, theory suggests that communities may be resilient whenever populations within species exhibit variation in thermal plasticity or adaptation whereby thermally tolerant populations replace thermally sensitive ones. But will they maintain the functional roles of the populations being replaced? This study evaluated whether "like replaces like" functionally by measuring how four populations of a grasshopper herbivore and its co-occurring spider predator cope with environmental warming. The study occurred across a latitudinal gradient bounded by southerly, warmer Connecticut and northerly, cooler New Hampshire, USA. The study compared the survival rates, thermal performance, habitat usage, and food chain interactions of each grasshopper and spider population between its home field site (field of origin) and a Connecticut transplant site, and the native Connecticut population. Three grasshopper populations exhibited physiological plasticity by adjusting metabolic rates. The fourth population selected cooler habitat locations. Spider populations did not alter their metabolism, and instead selected cooler habitat locations thereby altering spatial overlap with their prey and food chain interactions. Grasshopper populations that coped physiologically consumed plants in different ratios than the fourth population and the Connecticut population. Hence "like may not replace like" whenever populations adapt physiologically to warming.

opencc-zeroDec 2018View details →
dryad36/100

Data from: Africa's overlooked top predator: towards a better understanding of martial eagle feeding ecology in the Maasai Mara, Kenya

<p>Raptors exert top-down influences on ecosystems via their effects on prey population dynamics and community composition. Most raptors are sympatric with other predators, thus complicating our understanding of their relative influence in these systems. Estimates of kill rates and prey biomass recycling have been used as predation metrics that allow quantitative comparison among species and assessment of the relative role of single species within complex food webs. Few studies have produced findings of kill rates or prey biomass recycling for raptors. We used a supervised machine learning algorithm to behaviourally classify high resolution accelerometer informed GPS locations of tagged adult non-breeding martial eagles <em>Polemaetus bellicosus</em> in the Maasai Mara region of Kenya to estimate kill rates and prey biomass recycling. Eagle locations classified as feeding were clustered using distance and time thresholds to identify kills and calculate kill rates. Identified kill sites were quickly ground-truthed to confirm kills and identify prey species. We estimated kill rates for martial eagles at 0.59 kills/day for males and 0.38 kills/day for females, and we estimated biomass recycling per ground-truthed kill at 1796 g for males and 3860 g for females. From our sample of identified ground-truthed kills, "gamebirds" was the most frequently recorded prey category for male eagles and "small ungulates" was the most frequently recorded prey category for female eagles. These results position martial eagles close to sympatric mammalian top predators in trophic pyramids and provide evidence for their classification as a top predator.</p>

opencc-zeroDec 2023View details →
dryad36/100

Data for: The visual ecology of selective predation: Are unhealthy hosts less stealthy hosts?

<p>Predators can strongly influence disease transmission and evolution, particularly when they prey selectively on infected hosts. Although selective predation has been observed in numerous systems, why predators select infected prey remains poorly understood. Here, we use a mathematical model of predator vision to test a longstanding hypothesis about the mechanistic basis of selective predation in a <em>Daphnia</em>-microparasite system, which serves as a model for the ecology and evolution of infectious diseases. Bluegill sunfish feed selectively on <em>Daphnia</em> infected by a variety of parasites, particularly in water uncolored by dissolved organic carbon. The leading hypothesis for selective predation in this system is that infection-induced changes in the transparency of <em>Daphnia</em> render them more visible to bluegill. Rigorously evaluating this hypothesis requires that we quantify the effect of infection on the visibility of prey from the predator's perspective, rather than our own. Using a model of the bluegill visual system, we show that three common parasites, <em>Metschnikowia bicuspidata</em>, <em>Pasteuria ramosa</em> and <em>Spirobacillus cienkowskii</em>, decrease the transparency of <em>Daphnia</em>, rendering infected <em>Daphnia</em> darker against a background of downwelling light. As a result of this increased brightness contrast, bluegill can see infected <em>Daphnia</em> at greater distances than uninfected <em>Daphnia</em> - between 19-33% further, depending on the parasite. <em>Pasteuria</em> and <em>Spirobacillus</em> also increase the chromatic contrast of <em>Daphnia</em>. These findings lend support to the hypothesis that selective predation by fish on infected <em>Daphnia</em> could result from the effects of infection on <em>Daphnia</em>'s visibility. However, contrary to expectations, the visibility of <em>Daphnia</em> was not strongly impacted by water color in our model. Our work demonstrates that models of animal visual systems can be useful in understanding ecological interactions that impact disease transmission.</p>

opencc-zeroJun 2022View details →
zenodo36/100

Datasets and code for Dražina et al. 2023: Unravelling the Role of Top Predators and Macrophytes in Mediterranean Ponds: The Ecological Significance of Rotifers

<p>Dataset and R code to accompany manuscript 'Unravelling the Role of Top Predators and Macrophytes in Mediterranean Ponds: The Ecological Significance of Rotifers' accepted for publication in the journal Hydrobiologia</p>

opencc-by-4.0Dec 2023View details →
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Fig.11 in First Records Of New Aquatic Predator Pelodiscus Sinensis (Wiegmann 1835) In Latvia And Preliminary Ecological Risk Assessment Of The Invasion For Autochthonic Emys Orbicularis (Linnaeus 1758)

Fig.11. Peculiarities of P.sinensis findings waterbodies water connectivity in Latvia.

opencc-by-4.0Dec 2016View details →
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Fig.1 in First Records Of New Aquatic Predator Pelodiscus Sinensis (Wiegmann 1835) In Latvia And Preliminary Ecological Risk Assessment Of The Invasion For Autochthonic Emys Orbicularis (Linnaeus 1758)

Fig.1. Placement of the findings of Pelodiscus sinensis in Latvia.

opencc-by-4.0Dec 2016View details →
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Fig. 4 in First Records Of New Aquatic Predator Pelodiscus Sinensis (Wiegmann 1835) In Latvia And Preliminary Ecological Risk Assessment Of The Invasion For Autochthonic Emys Orbicularis (Linnaeus 1758)

Fig. 4. Ventral side of the first P.sinensis #PeSi0001 found in Latvia.

opencc-by-4.0Dec 2016View details →
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Fig. 10 in First Records Of New Aquatic Predator Pelodiscus Sinensis (Wiegmann 1835) In Latvia And Preliminary Ecological Risk Assessment Of The Invasion For Autochthonic Emys Orbicularis (Linnaeus 1758)

Fig. 10. Peculiarities of P.sinensis findings waterbodies size in Latvia.

opencc-by-4.0Dec 2016View details →
dryad36/100

Data from: Experimentally simulating the evolution-to-ecology connection: Divergent predator morphologies alter natural food webs

<p class="MsoNormal">The idea that changing environmental conditions drive adaptive evolution is a pillar of evolutionary ecology. But, the opposite—that adaptive evolution alters ecological processes—has received far less attention yet is critical for eco-evolutionary dynamics. We assessed the ecological impact of divergent values in a key adaptive trait using 16 populations of the brown anole lizard (<em class="i">Anolis sagrei</em>). Mirroring natural variation, we established islands with short- or long-limbed lizards at both low and high densities. We then monitored changes in lower trophic levels, finding that on islands with short-limbed lizards at high-density<span class="inserted">,</span> web spider<span class="inserted">s</span> decreased and plants grew more via an indirect positive effect, likely through an herbivore-mediated trophic cascade. Our experiment provides strong support for evolution-to-ecology connections in nature, likely closing an otherwise well-characterized eco-evolutionary feedback loop.</p>

opencc-zeroJun 2023View details →
dryad36/100

Rain, recreation, and risk: Human activity and ecological disturbance create seasonal risk landscapes for the prey of an ambush predator

<p>Predation risk and prey responses exhibit fluctuations in space and time. Seasonal ecological disturbances can alter landscape structure and permeability to influence predator activity and efficacy, creating predictable patterns of risk for prey (seasonal risk landscapes). This may create corresponding seasonal shifts in antipredator behavior, mediated by species ecology and trade-offs between risk and resources. Yet, how human recreation interacts with seasonal risk landscapes and antipredator behavior remains understudied.</p> <p><strong>Goals</strong> – In South Florida, we investigated the impact of a seasonal ecological disturbance, specifically flooding, which is inversely related to human activity, on interactions between Florida panthers (<em>Puma concolor coryi</em>) and white-tailed deer (<em>Odocoileus</em> <em>virginianus</em>). We hypothesized that human activity and ecological disturbances would interact with panther-deer ecology, resulting in the emergence of two distinct seasonal landscapes of predation risk and the corresponding antipredator response. We conducted camera trap surveys across southwestern Florida to collect detection data on humans, panthers, and deer. We analyzed the influence of human site use and flooding on deer and panther detection probability, co-occurrence, and diel activity during the flooded and dry seasons. Flooding led to decreased panther detections and increased deer detections, resulting in reduced deer-panther co-occurrence during the flooded season. Panthers exhibited increased nocturnality and reduced diel activity overlap with deer in areas with higher human activity. Supporting our hypothesis, panthers' avoidance of human recreation and flooding created distinct risk schedules for deer, driving their antipredator behavior. Deer utilized flooded areas to spatially offset predation risk during the flooded season while increasing diurnal activity in response to human recreation during the dry season.</p> <p><strong>Significance to the field </strong>– We highlight the importance of understanding how competing risks and ecological disturbances influence predator and prey behavior, leading to the generation of seasonal risk landscapes and antipredator responses. We emphasize the role of cyclical ecological disturbances in shaping dynamic predator-prey interactions. Furthermore, we highlight how human recreation may function as a 'temporal human shield,' altering seasonal risk landscapes and antipredator responses to reduce encounter rates between predators and prey. </p>

opencc-zeroJun 2023View details →
dryad36/100

Ecological dynamics of two seed predators, <em>Araecerus levipennis</em> and <em>Acanthoscelides macrophthalmus</em>, on <em>Leucaena leucocephala</em>

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publicDec 2025View details →
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Data from: Will like replace like? linking thermal performance to ecological function across predator and herbivore populations

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publicFeb 2019View details →

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neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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DANDI Archive for NWB datasets

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dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

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openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record