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  • Chiroptera  (1)
  • EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY  (1)
  • 2020-2024  (2)
  • 1
    Publication Date: 2024-03-14
    Description: Animals with large energy requirements are forced to optimize their hunting strategy, which may result in differentiation of the diet between sexes and across seasons. Here, we examined spatiotemporal variation in the diet of both sexes of the Pond Bat Myotis dasycneme, a species known to have spatial segregation of sexes when the young are born and lactating. Fecal pellets were collected from live animals for a period of 15 years at various locations in the Netherlands. A total of 535 pellets were successfully analyzed by microscopy and an additional 160 pellets by DNA metabarcoding. Morphological and molecular analyses showed that the diet of pregnant and lactating pond bats differed significantly from the diet of females with no reproductive investment. Further analyses of the data showed that pregnant female pond bats are highly dependent on small prey and pupae, mainly nonbiting midges and mosquitoes (Diptera: Chironomidae and Culicidae). These insects can be found in large quantities in peatlands intersected with shallow waterways, the habitat type in which female pond bats were observed more often than males. Our results suggest that during pregnancy the spatial segregation of sexes coincides with sex-specific diets, which might reflect habitat selection based on energy requirements, in addition to lowered intraspecific competition.
    Keywords: Chiroptera ; environmental DNA (eDNA) ; high-throughput sequencing ; intraspecific competition ; metabarcoding ; Myotis dasycneme
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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  • 2
    Publication Date: 2024-05-21
    Description: Abstract
    Description: The STRATEGy network was a temporary seismic network in the NW Argentinean Andean Foreland. It run for about 15 months between June 2016 and August 2017 and consisted of 13 stations for the most parts. Each station contains a Lennartz LE3D/5s seismometer, an Omnirecs DataCube³ext digitizer (100 Hz sampling rate) with external GPS antenna and internal flash memory. Station 14A consisted of a Mark L-4C-3D short-period sensor. The power was supplied through an external batteries that were recharged during the day via a solar panel. The sensors were oriented to magnetic north. The header of the waveform files (NSLC-IDs) still remained in its prior form (network code ST) and haven’t been adapted to the FDSN given code. Station codes (double digits) were assigned from North to South. The last digit of the station code is either A (for their initial position of a station site) or B (the station has been moved during the networks operation time due to low quality recordings at the respective initial site). Each site was chosen on 3 criteria: (1) minimizing the depth to bedrock, (2) maximizing remoteness, and (3) maximizing security, preferentially located within sight of nearby settlements. However, one station (02A) was lost due to theft and many others experienced recording gaps due to animals chewing on cables, malfunctions of electrical parts and mainly flooding of the stations during the austral summer monsoon. The overall network geometry evolved partially due to accessibility of remote locations, maintaining similar interstation distances and focusing around the epicenter of the Mw 5.7 El Galpón earthquake 9 months prior to the network’s starttime. The smallest depths to bedrock were achieved by concentrating the sites around two major bedrock ranges and their piedmont, Cerro Colorado and Sierra de la Candelaria. Waveform data are available from the GEOFON data centre, under network code 2S.
    Keywords: Monitoring system ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; Passive seismic ; Seismometers ; Velocity ; MiniSEED
    Type: Dataset , Seismic Network
    Format: 111GB
    Format: .mseed
    Format: XML
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