Browsing by Subject "movement"
Now showing 1 - 4 of 4
Results Per Page
Sort Options
Item Data and R code supporting: Using Piecewise Regression to Identify Biological Phenomena in Biotelemetry Datasets(2022-03-31) Wolfson, David W; Andersen, David E; Fieberg, John R; wolfs064@umn.edu; Wolfson, David WThis repository contains data and R code (along with associated output from running the code) for fitting the example case studies reported in: Wolfson, D.W., D. E. Andersen, and J. R. Fieberg, Using Piecewise Regression to Identify Biological Phenomena in Biotelemetry Data. https://www.biorxiv.org/content/10.1101/2021.12.14.472652v1Item DynamoVis - Dynamic Visualization of Animal Movement Data(2018-06-01) Somayeh Dodge; Glenn Xavier; Wing Yi Wong; sdodge@umn.edu; Dodge, Somayeh; University of Minnesota, Department of Geography, Environment, and SocietyExploring movement, as an important aspect of spatiotemporal processes, has gained new momentum from the availability of large spatiotemporal datasets. This has given rise to the development of new exploratory and analytical techniques to generate new insight into dynamic processes and the spatiotemporal context in which they operate. This study develops a new dynamic visualization tool, called ``DYNAMOVis: Dynamic Visualization of Movement'', developed for the exploratory analysis of movement in relation to the environment and geographic context. DYNAMOVis applies visual variables such as point and line width, color, and directional vector to visualize movement tracks in their attribute space (e.g. movement parameters and context attributes). Using real case studies from Movement Ecology, we show how hybrid and dynamic visualizations can strengthen spatiotemporal research by facilitating data exploration, generating new hypotheses, discovery of patterns and dependencies, as well as promoting interdisciplinary research collaborations.Item Estimating natal origins and migratory patterns of juvenile raptors banded during fall migration at Hawk Ridge Duluth, MN(2022-08) Pavlovic, EmilyEffective conservation of migratory species requires knowledge of the many geographic locations utilized during their full annual cycle. Determining breeding location can be challenging due to the secretive nature of many raptors on their breeding grounds; however, during migration, these species are relatively easy to study since large numbers of individuals fly through migration corridors. The objective of this research was to improve our understanding of full annual cycle landscape use by identifying the breeding origin and migratory patterns of juvenile raptors utilizing hydrogen stable isotope analysis of feathers (ẟ2Hf) collected during fall migration at Hawk Ridge in Duluth, Minnesota. We found that ẟ2Hf was able to elucidate temporal migration patterns and broadly assign natal origins. However, assignments remain broad and could be improved by the addition of other techniques. Knowledge of breeding locations and migratory patterns is important for connecting ecological variables on breeding grounds to observed population changes during migration and placing Hawk Ridge’s long-term monitoring data within a geographical framework.Item Using Movement Behavior Of Adult Female Moose To Estimate Survival And Cause-Specific Mortality Of Calves In A Declining Population(2017-09) Obermoller, TylerLow calf production and survival can contribute to ungulate population declines and sustained low numbers. Continuing research on cause-specific mortality and annual survival of moose (Alces alces) calves in northeastern Minnesota is critical to understanding the long-term trajectory of the population. Beginning in late April 2016, 35 global positioning system (GPS)-collared adult females were computer-monitored for calving movements, a long distance movement followed by an intense localization. I observed 28 of 33 (85%) females make a calving movement, and with additional field observations of calves, determined 31 of the 35 (89%) females were pregnant. Mean birth-date was 12 May 2016 (median = 11 May 2016, range = 24 Apr ̶ 10 June. In 2013–2014, I observed an unusual behavior by dams, a “mortality movement,” associated with the death of their neonate. The dam made a rapid, long-distance movement (“flee”), followed by a return to the calf mortality site. In 2016, using this behavior as a calf mortality indicator, I documented evidence of 15 mortalities at a mean age of 30.6 days (± 15.5 [SE], range = 3–243 days). Based on observations of mortality movements, 21 investigations were launched and resulted in confirmation of 11 of the 15 calf mortalities. Specific causes of mortality included 9 wolf (Canis lupus)-kills, 3 black bear (Ursus americanus)-kills, 1 unknown predator-kill, and 2 deaths following vehicle collisions. Predation accounted for 87% of all mortalities. The cumulative probability of calves being killed by wolves and bears was 33% and 11%, respectively. The mean distance dams fled after a mortality was 1,873 m (± 412, range = 126–5,805 m, n = 14). Dams that made return visits returned a mean 2.8 times (± 0.5, range = 1–5, n = 8) to the mortality site. Dams returned to within a mean 106 m (± 22, range = 34–230 m, n = 8) from the mortality site. Calf survival to 30 days of age was 67% (± 8, 95% CI = 53–84%, n = 36). Survival declined to 33% (± 8, CI = 20–53%, n = 36) at almost 1 year of age, associated with an estimated calf:cow ratio of 0.35. I developed 2 population-level movement models to improve efficacy of the mortality movement for identifying calf mortalities during the first summer of life. The first approach, a temporal-based model, used a single, estimated movement velocity threshold (164 m/hr) for the dam to indicate calf mortality and accurately predicted survival status 51% of the time. My second approach, an age-specific model, using different thresholds (28–135 m/hr) for the dam relative to calf age, was 80% accurate. Using movement behavior of dams to assess calf mortality can yield important insights into mechanisms related to the decline of the population in northeastern Minnesota and aid in future management decisions.