Sensor:
Accessory Measurements

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Name
Accessory Measurements
External ID
accessory-measurements
Is Location Sensor

Search Results

Now showing 1 - 4 of 4
  • Data package
    Data from: Spatiotemporally variable snow properties drive habitat use of an Arctic mesopredator
    (2023-08-16) Glass, Thomas W.; Robards, Martin D.
    Climate change is rapidly altering the composition and availability of snow, with implications for snow-affected ecological processes, including reproduction, predation, habitat selection, and migration. How snowpack changes influence these ecological processes is mediated by physical snowpack properties, such as depth, density, hardness, and strength, each of which is in turn affected by climate change. Despite this, it remains difficult to obtain meaningful snow information relevant to the ecological processes of interest, precluding a mechanistic understanding of these effects. This problem is acute for species that rely on particular attributes of the subnivean space, for example depth, thermal resistance, and structural stability, for key life-history processes like reproduction, thermoregulation, and predation avoidance. We used a spatially explicit snow evolution model to investigate how habitat selection of a species that uses the subnivean space, the wolverine, is related to snow depth, snow density, and snow melt on Arctic tundra. We modeled these snow properties at a 10 m spatial and a daily temporal resolution for 3 years, and used integrated step selection analyses of GPS collar data from 21 wolverines to determine how these snow properties influenced habitat selection and movement. We found that wolverines selected deeper, denser snow, but only when it was not undergoing melt, bolstering the evidence that these snow properties are important to species that use the Arctic snowpack for subnivean resting sites and dens. We discuss the implications of these findings in the context of climate change impacts on subnivean species.
  • Data package
    Data from: Tracking the migration of red-necked stint (Calidris ruficollis) reveals marathon flights and unexpected conservation challenges
    (2020-10-09) Mu, Tong; Tomkovich, Pavel S.; Loktionov, Egor Y.; Syroechkovskiy, Evgeny E.; Wilcove, David S.
    Effective conservation of migratory species depends on understanding both migratory connectivity and migration strategy. The Red‐necked Stint Calidris ruficollis is a small, highly migratory sandpiper of the East Asian‐Australasian Flyway, which is classified as Near Threatened due to ongoing population declines. We tracked the migration of three Red‐necked Stints breeding in southern Chukotka, Russia, using geolocators, and supplemented our tracking data with re‐sighting records of color‐flagged individuals. The three birds, all of which bred within 2km of each other, wintered in three different localities spanning nearly 5,000km. One individual completed its northward migration of >9400 km in two marathon flights; the second leg of that journey was completed in a nonstop flight of 5,350 km. The successful conservation of just this one population requires protection of wintering sites across a vast area, coupled with key staging sites along the flyway. We suggest that other migratory species may pose similar conservation challenges.
  • Data package
    Data from: Comparison of movement strategies of three populations of white-bearded wildebeest
    (2020-12-01) Stabach, Jared A.; Hughey, Lacey F.; Reid, Robin S.; Worden, Jeffrey S.; Leimgruber, Peter; Boone, Randall B.
    The ability to move is essential for animals to find mates, escape predation, and meet energy and water demands. This is especially important across grazing systems where vegetation productivity can vary drastically between seasons or years. With grasslands undergoing significant changes due to climate change and anthropogenic development, there is an urgent need to determine the relative impacts of these pressures on the movement capacity of native herbivores. To measure these impacts, we fitted 36 white-bearded wildebeest (Connochaetes taurinus) with GPS collars across three study areas in southern Kenya (Amboseli Basin, Athi-Kaputiei Plains, and Mara) to test the relationship between movement (e.g., directional persistence, speed, home range crossing time) and gradients of vegetation productivity (i.e., NDVI) and anthropogenic disturbance. As expected, wildebeest moved the most (21.0 km day–1; CI: 18.7–23.3) across areas where movement was facilitated by low human footprint and necessitated by low vegetation productivity (Amboseli Basin). However, in areas with moderate vegetation productivity (Athi-Kaputiei Plains), wildebeest moved the least (13.3 km day–1; CI: 11.0–15.5). This deviation from expectations was largely explained by impediments to movement associated with a large human footprint. Notably, the movements of wildebeest in this area were also less directed than the other study populations, suggesting that anthropogenic disturbance (i.e., roads, fences, and the expansion of settlements) impacts the ability of wildebeest to move and access available resources. In areas with high vegetation productivity and moderate human footprint (Mara), we observed intermediate levels of daily movement (14.2 km day–1; CI: 12.3–16.1). Wildebeest across each of the study systems used grassland habitats outside of protected areas extensively, highlighting the importance of unprotected landscapes for conserving mobile species. These results provide unique insights into the interactive effects of climate and anthropogenic development on the movements of a dominant herbivore in East Africa and present a cautionary tale for the development of grazing ecosystems elsewhere.
  • Data package
    Data from: Study "NC Wood Stork Tracking"
    (2023-12-23) Schweitzer, Sara; Bryan, A. Lawrence, Jr.; Brzorad, John; Kays, Roland
    We tracked two wood storks (Mycteria americana) from a breeding site in North Carolina, documenting their migrations to southern Florida. This is one of the northernmost breeding grounds for the species. Dice was tracked with a GPS/GSM/ACC tag from e-obs GmbH, and Mr Lay was tracked with a GSM-GPS tag from Microwave Telemetry Inc. Duplicates and location outliers were flagged in Movebank by manually flagging visible outliers and then using filters. First, the duplicate filter was used to flag multiple records records with matching tag ID and timestamp, with a preference to retain "eobs:status" values in the following order: A, B, C, D, blank. Second, the speed filter was run using maximum plausible speed of 50 m/s and maximum location error 100 m, using the "longest consistent track" method.