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278 results for “geolocation”

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dryad32/100

Geolocator tagging of east Siberian bluethroats

Many long-distance migratory bird species seem to retain the winter quarters their ancestors used during the last glacial maximum. Post-glacial colonization following the retreat of the ice sheets have then resulted in apparent suboptimal migration routes, since the expanding populations have failed to use more nearby, alternative and climatically suitable, wintering areas. The bluethroat subspecies Cyanecula svecica svecia occurs in the northern areas of the Palearctic from the Atlantic to Alaska. Because it is monotypic and lacks population structure in mitochondrial DNA it is assumed to have colonized its present range from one glacial refuge population. Geolocator tracks from birds in its western range have shown that these migrates to the Indian subcontinent following a route west of the Himalaya. In the present study we fit geolocators of bluethroats breeding in their eastern range (Chukotka) to test whether they also use a route west of the Himalaya to the same wintering grounds as their European conspecifics, or shortcut east of the Himalaya. We retrieved one of the 30 bluethroats tagged which clearly showed that it migrated east of the Himalaya to a wintering area tentatively located in Myanmar. By assuming that this bird is representative for the migration of eastern Cyanecula s. svecia, we can reject our initial hypothesis of a common migration route of all Cyanecula s. svecia. The different routes and wintering areas of western and eastern Cyanecula s. svecia implicate the presence of a migratory divide somewhere north of the Himalaya, and further that the populations were in different refuge populations during the last glaciation.

opencc-zeroMay 2022View details →

dryad32/100

Data from: Effect of light-level geolocators on apparent survival of two highly aerial swift species

Light-level geolocators are currently widely used to track the migration of small-sized birds, but their potentially detrimental effects on survival of highly aerial species have been poorly investigated so far. We recorded capture-recapture histories of 283 common swifts Apus apus and 107 pallid swifts Apus pallidus breeding in 14 colonies in Italy, Spain, Sweden and Switzerland that were deployed with 10 different types of geolocators ('geolocator birds'), and compared their survival with that of, respectively, 215 common and 101 pallid swifts not equipped with geolocators ('control birds'). We performed both traditional GLMM using return rate as a proxy for survival and mark-recapture models to estimate survival while accounting for recapture probability. In all the analyses, geolocator birds showed reduced apparent survival compared to controls. The extent of the negative effect on survival differed between the species but the direction of the difference between species was opposite in either type of analysis. Geolocator weight was always lower 3% of body mass or less, and did not affect survival per se. Geolocators with a light-stalk, which is used in some geolocator models to reduce light sensor shading by feathers, decreased apparent survival more than models without light-stalk. Apparent survival of geolocator birds significantly varied among sites, being much higher in northern Europe. Despite in our analyses we could only partly account for variable recapture probabilities among sites and for inter-annual variability in survival, our results generally showed that equipping swifts with geolocators decreased their survival prospects, but also that the magnitude of this effect may depend on species-specific traits. These conclusions are in line with those of other studies on aerial foragers. We suggest that future studies tracking the movements of aerial insectivorous birds should use devices designed to minimize drag.

opencc-zeroDec 2016View details →

zenodo32/100

Geolocating and Measuring Offshore Infrastructure with Multimodal Satellite Data

Please cite this when using the dataset and code. The offshore infrastructure is rapidly spreading in the Scottish waters to satisfy the increasing energy demand. The up-to-date knowledge of their distribution and size is critical for the development and management of marine ecosystems. With the development of remote sensing techniques, satellite data have been widely used in offshore infrastructure detection on the vast ocean. However, the automatic and accurate identification on remote sensing data is still challenging that every kind of data have limitations. Here we combine the Sentinel-1 SAR data and Sentinel-2 Multi-Spectral Instrument (MSI) imagery to propose an automatic method for the location detection and size evaluation of offshore infrastructure in Scottish waters. Specifically, three strategies (transformed median composite, 2D-SSA filtering and threshold segmentation) were designed to first extract the contour range on Sentinel-1 data. Then morphological operations were applied on Sentinel-2 true color image to obtain the precise location and size of each offshore infrastructure. All the Sentinel-1 and Sentinel-2 data are downloaded from https://www.sentinel-hub.com/explore/eobrowser/ The file "loc_S1" is used for the contour range detection (guided area) in Sentinel-1; The file "loc_S2" is for the specific location detection and size evaluation of oil/gas platforms and wind turbines;

opencc-by-4.0Mar 2022View details →

dryad32/100