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Dataset results
7 results for “resource waves”
DS_Wave_Mutriku: Wave resource at Mutriku (Spain)
<p>Data obtained from the RBR virtuoso pressure sensor deployed in Mutriku: i) winter 2016-2017; ii) Spring 2018.</p> <p>Sensor is located at 10 m water depth, 200 m off the shoreline plant (43º18'52"N, 2º22'34").</p> <p> </p>
DS_Wave_BiMEP: Wave resource at BiMEP (Spain)
<p>This Technical Note extends the first published dataset obtained from the TRIAXYS buoy deployed at BiMEP. It covers two periods: i) December 2016 to October 2017; ii) March 2018 to July 2018</p> <p>Sensor is located at 87 m water depth, 300 m up-wave of the OCEANTEC's Wave Energy Converter, MARMOK- A5 (43°28'12.19"N, 2°52'17.88"O). Statistical wave data are calculated from 20-min time series.</p>
Data from: The greenscape shapes surfing of resource waves in a large migratory herbivore
The Green Wave Hypothesis posits that herbivore migration manifests in response to waves of spring green-up (i.e. green-wave surfing). Nonetheless, empirical support for the Green Wave Hypothesis is mixed, and a framework for understanding variation in surfing is lacking. In a population of migratory mule deer (Odocoileus hemionus), 31% surfed plant phenology in spring as well as a theoretically perfect surfer, and 98% surfed better than random. Green-wave surfing varied among individuals and was unrelated to age or energetic state. Instead, the greenscape, which we define as the order, rate and duration of green-up along migratory routes, was the primary factor influencing surfing. Our results indicate that migratory routes are more than a link between seasonal ranges, and they provide an important, but often overlooked, foraging habitat. In addition, the spatiotemporal configuration of forage resources that propagate along migratory routes shape animal movement and presumably, energy gains during migration.
Data from: Thermal habitat fragmentation in stratified lakes induces resource waves that brook charr track across seasons
<p>The spatial configuration of thermal habitats constrains the thermoregulatory performance of ectotherms. Thermal landscapes also vary through time, which is particularly relevant in seasonal environments such as temperate lakes. Indeed, elevated temperatures in the epilimnion of dimictic lakes during summer could substantially reduce the use of this habitat by cold-stenothermic fish during the stratified period. The main objective of this study was to evaluate whether thermal habitat fragmentation in stratified lakes modulates accessibility to resources that brook charr, <em>Salvelinus fontinalis</em>, which is a mobile consumer, can track across seasons. More specifically, we hypothesize that reduced access to the littoral habitat during summer enhances foraging opportunities in this habitat during winter. We used an automatic acoustic telemetry system offering full coverage of the lake to continuously record brook charr locations across seasons, and we estimated zoobenthos abundances in the littoral habitat using image processing and semi-automatic classification. While brook charr concentrate in the metalimnion of the pelagic habitat in summer, most individuals in winter shift to a shallow bay that is unexploited in summer due to thermal constraints. In this habitat, zoobenthos abundance is more than twice as high at the end of the summer compared to littoral habitats close to the thermal refuge in the pelagic habitat. Surprisingly, brook charr showed strong within-lake site fidelity between two consecutive summers, which suggests that spatial memory could be a key driver of seasonal habitat use in this lacustrine population. Overall, our results suggest that thermal barriers create fragmentation between littoral and pelagic habitats that in turn produces resource opportunities that brook charr can track across seasons.</p>
Data from: The greenscape shapes surfing of resource waves in a large migratory herbivore
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Data from: Thermal habitat fragmentation in stratified lakes induces resource waves that brook charr track across seasons
Open the record for dataset details and reuse information.
Data from: Migratory herbivorous waterfowl track multiple resource waves during spring migration
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OpenNeuro
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